From 2bf99fcdece47ebae8f926cdc761fe81b0e8090d Mon Sep 17 00:00:00 2001 From: Kaylee de Soto Date: Mon, 9 Dec 2024 10:59:25 -0500 Subject: [PATCH] Minor changes to numpyro_sampler --- docs/notebooks/config.yaml | 2 +- docs/notebooks/full_train_workflow.ipynb | 1030 ++++++++++------- src/superphot_plus/data_generation/spec.py | 2 +- .../samplers/numpyro_sampler.py | 2 +- 4 files changed, 618 insertions(+), 418 deletions(-) diff --git a/docs/notebooks/config.yaml b/docs/notebooks/config.yaml index b45ac99..7dd4ebf 100644 --- a/docs/notebooks/config.yaml +++ b/docs/notebooks/config.yaml @@ -6,7 +6,7 @@ chisq_cutoff: 1.2 plot: True model_type: "LightGBM" use_redshift_features: False -fits_per_majority: 5 +fits_per_majority: 25 prob_threshhold: 0.5 n_folds: 10 num_epochs: 100 diff --git a/docs/notebooks/full_train_workflow.ipynb b/docs/notebooks/full_train_workflow.ipynb index c2f7e42..1d2a8ed 100644 --- a/docs/notebooks/full_train_workflow.ipynb +++ b/docs/notebooks/full_train_workflow.ipynb @@ -76,15 +76,6 @@ "id": "7c79328b-94f8-4bd6-8cd7-885799db4e02", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - " % Total % Received % Xferd Average Speed Time Time Time Current\n", - " Dload Upload Total Spent Left Speed\n", - "100 9977k 0 9977k 100 48 5220k 25 0:00:01 0:00:01 --:--:-- 5218k\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -98,7 +89,7 @@ "tns_agent = TNSQueryAgent()\n", "#tns_agent.update_local_database() # IMPORTANT: run this line if first time using SNAPI or if you want to reimport TNS csv\n", "all_names = tns_agent.retrieve_all_names() # only spectroscopically classified\n", - "all_names = [x for x in all_names if int(x[:4]) > 2018]\n", + "all_names = [x for x in all_names if int(x[:4]) > 2018] # because pre-2019 templates are pretty bad\n", "print(len(all_names), all_names[:5])" ] }, @@ -114,7 +105,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "id": "ae8f8548-4c29-44aa-b14a-a9b1432e264b", "metadata": { "scrolled": true, @@ -125,9 +116,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "6255 events already saved.\n", - "2130 names to query across 8 cores.\n", - "Processing 1065 transients in batch\n" + "6292 events already saved.\n", + "1287 names to query across 8 cores.\n", + "Processing 1287 transients in batch\n" ] }, { @@ -142,10 +133,7 @@ "output_type": "stream", "text": [ "Finished processing, making transient group now\n", - "Total transients saved: 6419.\n", - "Processing 1065 transients in batch\n", - "Finished processing, making transient group now\n", - "Total transients saved: 6579.\n" + "Total transients saved: 6395.\n" ] } ], @@ -167,7 +155,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "id": "8332fc7c-1f2f-42ce-a9c2-38c8dbc9db66", "metadata": {}, "outputs": [ @@ -175,48 +163,47 @@ "name": "stdout", "output_type": "stream", "text": [ - "6579\n", - " ra dec internal_names \\\n", + "6395\n", + " ra dec internal_names spec_class \\\n", "id \n", - "2017baq 134.698500 1.842950 ZTF21acipofv, iPTF17baq, Gaia21exj \n", - "2017ffy 330.762208 36.425919 Gaia17bsv, ZTF18abskbng \n", - "2017gcg 308.133821 58.158057 PS17eeh, ZTF18abajlni \n", - "2018aye 269.417726 50.038655 PS18yl, ZTF18aamigmk, ASASSN-18iu, ATLAS18ntn \n", - "2018bcm 260.479417 29.309331 ZTF18aakzliv, Gaia18bav \n", + "2019J 150.944878 6.773457 ZTF19aacxrab, ATLAS19cay, PS18crs SLSN-I \n", + "2019aaby 108.702453 53.718130 ZTF19acmbhvv SN Ia \n", + "2019aafe 349.068683 48.428444 ZTF19abzfxel SN IIn \n", + "2019aah 225.377973 4.878289 ZTF19aadypig, ATLAS19bxf, PS19cuq SN II \n", + "2019aamp 219.455292 20.304611 ZTF19aantokv SLSN-I \n", "\n", - " spec_class redshift \n", - "id \n", - "2017baq SN Ia 0.058143 \n", - "2017ffy CV NaN \n", - "2017gcg CV NaN \n", - "2018aye SN Ia 0.017000 \n", - "2018bcm SN Ia 0.090000 \n", + " redshift \n", + "id \n", + "2019J 0.120000 \n", + "2019aaby 0.062406 \n", + "2019aafe 0.074000 \n", + "2019aah 0.030000 \n", + "2019aamp 0.404000 \n", " ra dec internal_names redshift\n", "spec_class \n", - "AGN 32 32 32 32\n", - "CV 105 105 105 54\n", + "AGN 26 26 26 26\n", + "CV 85 85 85 52\n", "Galaxy 2 2 2 2\n", "ILRT 1 1 1 1\n", - "LBV 7 7 7 7\n", + "LBV 6 6 6 6\n", "LRN 3 3 3 3\n", "Nova 26 26 26 20\n", "QSO 3 3 3 3\n", - "SLSN-I 79 79 79 79\n", - "SLSN-II 40 40 40 40\n", + "SLSN-I 75 75 75 75\n", + "SLSN-II 37 37 37 37\n", "SN 20 20 20 19\n", - "SN I 15 15 15 15\n", - "SN II 939 939 939 933\n", + "SN I 14 14 14 14\n", + "SN II 912 912 912 906\n", "SN II-pec 6 6 6 6\n", - "SN IIL 1 1 1 1\n", - "SN IIP 76 76 76 76\n", - "SN IIb 82 82 82 82\n", - "SN IIn 188 188 188 188\n", - "SN Ia 4320 4320 4320 4311\n", - "SN Ia-91T-like 162 162 162 162\n", - "SN Ia-91bg-like 25 25 25 25\n", - "SN Ia-CSM 18 18 18 18\n", - "SN Ia-SC 8 8 8 8\n", - "SN Ia-pec 28 28 28 28\n", + "SN IIP 69 69 69 69\n", + "SN IIb 79 79 79 79\n", + "SN IIn 187 187 187 187\n", + "SN Ia 4217 4217 4217 4208\n", + "SN Ia-91T-like 158 158 158 158\n", + "SN Ia-91bg-like 26 26 26 26\n", + "SN Ia-CSM 17 17 17 17\n", + "SN Ia-SC 9 9 9 9\n", + "SN Ia-pec 26 26 26 26\n", "SN Iax[02cx-like] 18 18 18 18\n", "SN Ib 102 102 102 101\n", "SN Ib-Ca-rich 1 1 1 1\n", @@ -224,15 +211,14 @@ "SN Ib/c 18 18 18 18\n", "SN Ibn 24 24 24 24\n", "SN Ibn/Icn 2 2 2 2\n", - "SN Ic 110 110 110 110\n", - "SN Ic-BL 49 49 49 48\n", - "SN Ic-Ca-rich 1 1 1 1\n", + "SN Ic 106 106 106 106\n", + "SN Ic-BL 51 51 51 50\n", "SN Ic-pec 1 1 1 1\n", "SN Icn 2 2 2 2\n", - "TDE 51 51 51 49\n", - "TDE-H-He 3 3 3 3\n", + "TDE 53 53 53 51\n", + "TDE-H-He 2 2 2 2\n", "TDE-He 1 1 1 1\n", - "Varstar 5 5 5 2\n" + "Varstar 5 5 5 3\n" ] } ], @@ -279,13 +265,21 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "id": "06532f86-feb2-45da-ab33-49966d1f14d7", "metadata": { "scrolled": true, "tags": [] }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-12-09 09:59:03,540 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 09:59:03,542 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -305,41 +299,39 @@ "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", - "2024-12-08 15:37:42,165 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:37:42,165 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:37:42,166 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:37:42,168 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:37:42,168 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:37:42,168 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:37:42,169 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:37:42,170 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:37:42,174 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:37:42,174 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:37:42,174 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:37:42,177 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:37:42,178 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:37:42,181 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:37:42,187 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:37:42,188 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:38:53,782 - MainProcess - Worker done\n", - "2024-12-08 15:38:56,423 - MainProcess - Worker done\n", - "2024-12-08 15:38:57,618 - MainProcess - Worker done\n", - "2024-12-08 15:38:59,281 - MainProcess - Worker done\n", - "2024-12-08 15:39:00,559 - MainProcess - Worker done\n", - "2024-12-08 15:39:01,369 - MainProcess - Worker done\n", - "2024-12-08 15:39:03,293 - MainProcess - Worker done\n", - "2024-12-08 15:39:03,951 - MainProcess - Worker done\n", + "2024-12-09 09:59:23,041 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 09:59:23,041 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 09:59:23,042 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 09:59:23,045 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 09:59:23,046 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 09:59:23,046 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 09:59:23,057 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 09:59:23,057 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 09:59:23,058 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 09:59:23,058 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 09:59:23,060 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 09:59:23,061 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 09:59:23,085 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 09:59:23,087 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 09:59:23,087 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 09:59:23,088 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:00:41,975 - MainProcess - Worker done\n", + "2024-12-09 10:00:46,938 - MainProcess - Worker done\n", + "2024-12-09 10:00:47,418 - MainProcess - Worker done\n", + "2024-12-09 10:00:47,927 - MainProcess - Worker done\n", + "2024-12-09 10:00:49,253 - MainProcess - Worker done\n", + "2024-12-09 10:00:49,904 - MainProcess - Worker done\n", + "2024-12-09 10:00:51,063 - MainProcess - Worker done\n", + "2024-12-09 10:00:51,481 - MainProcess - Worker done\n", + "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", - "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n", - "[INFO/MainProcess] process shutting down\n", - "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n" ] @@ -348,7 +340,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finished checkpoint 0 of 10\n" + "Finished checkpoint 1 of 12\n" ] }, { @@ -363,52 +355,98 @@ "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", - "2024-12-08 15:39:17,145 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:39:17,146 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:39:17,147 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:39:17,148 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:39:17,148 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:39:17,149 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:39:17,149 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:39:17,149 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:39:17,149 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:39:17,150 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:39:17,150 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:39:17,150 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:39:17,150 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:39:17,151 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:39:17,151 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:39:17,153 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:40:43,791 - MainProcess - Worker done\n", - "2024-12-08 15:40:44,976 - MainProcess - Worker done\n", - "2024-12-08 15:40:47,606 - MainProcess - Worker done\n", - "2024-12-08 15:40:47,891 - MainProcess - Worker done\n", - "2024-12-08 15:40:48,211 - MainProcess - Worker done\n", - "2024-12-08 15:40:48,281 - MainProcess - Worker done\n", - "2024-12-08 15:40:48,571 - MainProcess - Worker done\n", - "2024-12-08 15:40:53,740 - MainProcess - Worker done\n", + "2024-12-09 10:01:02,645 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:01:02,647 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:01:02,649 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:01:02,649 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:01:02,649 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:01:02,650 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:01:02,650 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:01:02,651 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:01:02,652 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:01:02,653 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:01:02,653 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:01:02,653 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:01:02,653 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:01:02,655 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:01:02,658 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:01:02,659 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:02:20,580 - MainProcess - Worker done\n", + "2024-12-09 10:02:22,142 - MainProcess - Worker done\n", + "2024-12-09 10:02:25,145 - MainProcess - Worker done\n", + "2024-12-09 10:02:25,529 - MainProcess - Worker done\n", + "2024-12-09 10:02:26,303 - MainProcess - Worker done\n", + "2024-12-09 10:02:27,679 - MainProcess - Worker done\n", + "2024-12-09 10:02:31,428 - MainProcess - Worker done\n", + "2024-12-09 10:02:31,650 - MainProcess - Worker done\n", + "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", - "[INFO/MainProcess] process exiting with exitcode 0\n", - "[INFO/MainProcess] process exiting with exitcode 0\n", - "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished checkpoint 2 of 12\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "2024-12-09 10:02:42,987 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:02:42,987 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:02:42,987 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:02:42,989 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:02:42,989 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:02:42,989 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:02:42,990 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:02:42,991 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:02:42,991 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:02:42,991 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:02:42,991 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:02:42,992 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:02:42,992 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:02:42,992 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:02:42,994 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:02:42,999 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:04:03,598 - MainProcess - Worker done\n", + "2024-12-09 10:04:06,155 - MainProcess - Worker done\n", + "2024-12-09 10:04:06,924 - MainProcess - Worker done\n", + "2024-12-09 10:04:07,670 - MainProcess - Worker done\n", + "2024-12-09 10:04:10,701 - MainProcess - Worker done\n", + "2024-12-09 10:04:14,795 - MainProcess - Worker done\n", + "2024-12-09 10:04:15,033 - MainProcess - Worker done\n", + "2024-12-09 10:04:17,992 - MainProcess - Worker done\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", - "[INFO/MainProcess] process exiting with exitcode 0\n" + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process shutting down\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Finished checkpoint 1 of 10\n" + "Finished checkpoint 3 of 12\n" ] }, { @@ -423,36 +461,41 @@ "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", - "2024-12-08 15:41:08,226 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:41:08,227 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:41:08,229 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:41:08,229 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:41:08,228 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:41:08,230 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:41:08,231 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:41:08,231 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:41:08,231 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:41:08,232 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:41:08,232 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:41:08,233 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:41:08,233 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:41:08,236 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:41:08,237 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:41:08,239 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:42:35,652 - MainProcess - Worker done\n", - "2024-12-08 15:42:35,769 - MainProcess - Worker done\n", - "2024-12-08 15:42:36,508 - MainProcess - Worker done\n", - "2024-12-08 15:42:37,064 - MainProcess - Worker done\n", - "2024-12-08 15:42:45,254 - MainProcess - Worker done\n", - "2024-12-08 15:42:45,524 - MainProcess - Worker done\n", - "2024-12-08 15:42:48,178 - MainProcess - Worker done\n", - "2024-12-08 15:42:53,270 - MainProcess - Worker done\n", + "2024-12-09 10:04:31,926 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:04:31,928 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:04:31,928 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:04:31,929 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:04:31,929 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:04:31,929 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:04:31,929 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:04:31,929 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:04:31,930 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:04:31,930 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:04:31,930 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:04:31,931 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:04:31,931 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:04:31,931 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:04:31,932 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:04:31,930 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:05:55,692 - MainProcess - Worker done\n", + "2024-12-09 10:06:01,638 - MainProcess - Worker done\n", + "2024-12-09 10:06:01,809 - MainProcess - Worker done\n", + "2024-12-09 10:06:02,452 - MainProcess - Worker done\n", + "2024-12-09 10:06:03,302 - MainProcess - Worker done\n", + "2024-12-09 10:06:03,890 - MainProcess - Worker done\n", + "2024-12-09 10:06:04,299 - MainProcess - Worker done\n", + "2024-12-09 10:06:07,945 - MainProcess - Worker done\n", + "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", - "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n" ] }, @@ -460,7 +503,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finished checkpoint 2 of 10\n" + "Finished checkpoint 4 of 12\n" ] }, { @@ -475,43 +518,90 @@ "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", - "2024-12-08 15:43:09,852 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:43:09,852 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:43:09,852 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:43:09,853 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:43:09,854 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:43:09,854 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:43:09,855 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:43:09,855 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:43:09,855 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:43:09,855 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:43:09,855 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:43:09,856 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:43:09,857 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:43:09,858 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:43:09,859 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:43:09,864 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:44:33,982 - MainProcess - Worker done\n", - "2024-12-08 15:44:38,907 - MainProcess - Worker done\n", - "2024-12-08 15:44:39,328 - MainProcess - Worker done\n", - "2024-12-08 15:44:39,371 - MainProcess - Worker done\n", - "2024-12-08 15:44:40,140 - MainProcess - Worker done\n", - "2024-12-08 15:44:40,820 - MainProcess - Worker done\n", - "2024-12-08 15:44:42,599 - MainProcess - Worker done\n", - "2024-12-08 15:44:43,391 - MainProcess - Worker done\n", + "2024-12-09 10:06:25,305 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:06:25,305 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:06:25,305 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:06:25,306 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:06:25,306 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:06:25,307 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:06:25,307 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:06:25,307 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:06:25,308 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:06:25,308 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:06:25,309 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:06:25,309 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:06:25,310 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:06:25,311 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:06:25,311 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:06:25,312 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:07:56,798 - MainProcess - Worker done\n", + "2024-12-09 10:07:58,932 - MainProcess - Worker done\n", + "2024-12-09 10:07:59,576 - MainProcess - Worker done\n", + "2024-12-09 10:08:03,754 - MainProcess - Worker done\n", + "2024-12-09 10:08:03,785 - MainProcess - Worker done\n", + "2024-12-09 10:08:04,471 - MainProcess - Worker done\n", + "2024-12-09 10:08:06,152 - MainProcess - Worker done\n", + "2024-12-09 10:08:06,228 - MainProcess - Worker done\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process shutting down\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Finished checkpoint 5 of 12\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "[INFO/MainProcess] child process calling self.run()\n", + "2024-12-09 10:08:22,772 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:08:22,772 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:08:22,774 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:08:22,774 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:08:22,774 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:08:22,774 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:08:22,775 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:08:22,775 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:08:22,775 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:08:22,775 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:08:22,776 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:08:22,776 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:08:22,776 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:08:22,777 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:08:22,785 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:08:22,789 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:09:47,048 - MainProcess - Worker done\n", + "2024-12-09 10:09:47,410 - MainProcess - Worker done\n", + "2024-12-09 10:09:47,734 - MainProcess - Worker done\n", + "2024-12-09 10:09:48,318 - MainProcess - Worker done\n", + "2024-12-09 10:09:48,509 - MainProcess - Worker done\n", + "2024-12-09 10:09:49,363 - MainProcess - Worker done\n", + "2024-12-09 10:09:50,542 - MainProcess - Worker done\n", + "2024-12-09 10:09:53,851 - MainProcess - Worker done\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", - "[INFO/MainProcess] process shutting down\n" + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Finished checkpoint 3 of 10\n" + "Finished checkpoint 6 of 12\n" ] }, { @@ -526,50 +616,52 @@ "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", - "2024-12-08 15:45:01,177 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:45:01,178 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:45:01,178 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:45:01,179 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:45:01,179 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:45:01,180 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:45:01,180 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:45:01,180 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:45:01,180 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:45:01,181 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:45:01,181 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:45:01,182 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:45:01,183 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:45:01,185 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:45:01,187 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:45:01,190 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:46:22,484 - MainProcess - Worker done\n", - "2024-12-08 15:46:25,589 - MainProcess - Worker done\n", - "2024-12-08 15:46:27,211 - MainProcess - Worker done\n", - "2024-12-08 15:46:27,800 - MainProcess - Worker done\n", - "2024-12-08 15:46:28,279 - MainProcess - Worker done\n", - "2024-12-08 15:46:28,855 - MainProcess - Worker done\n", - "2024-12-08 15:46:29,866 - MainProcess - Worker done\n", - "2024-12-08 15:46:31,632 - MainProcess - Worker done\n", + "2024-12-09 10:10:10,739 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:10:10,740 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:10:10,741 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:10:10,741 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:10:10,742 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:10:10,742 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:10:10,742 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:10:10,742 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:10:10,743 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:10:10,744 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:10:10,744 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:10:10,746 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:10:10,748 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:10:10,749 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:10:10,751 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:10:10,756 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:11:27,164 - MainProcess - Worker done\n", + "2024-12-09 10:11:27,525 - MainProcess - Worker done\n", + "2024-12-09 10:11:28,294 - MainProcess - Worker done\n", + "2024-12-09 10:11:29,337 - MainProcess - Worker done\n", + "2024-12-09 10:11:31,155 - MainProcess - Worker done\n", + "2024-12-09 10:11:32,872 - MainProcess - Worker done\n", + "2024-12-09 10:11:32,965 - MainProcess - Worker done\n", + "2024-12-09 10:11:35,449 - MainProcess - Worker done\n", "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", - "[INFO/MainProcess] process exiting with exitcode 0\n", - "[INFO/MainProcess] process exiting with exitcode 0\n", - "[INFO/MainProcess] process shutting down\n" + "[INFO/MainProcess] process exiting with exitcode 0\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Finished checkpoint 4 of 10\n" + "Finished checkpoint 7 of 12\n" ] }, { @@ -584,35 +676,44 @@ "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", - "2024-12-08 15:46:51,264 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:46:51,265 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:46:51,266 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:46:51,266 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:46:51,266 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:46:51,267 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:46:51,267 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:46:51,267 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:46:51,267 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:46:51,267 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:46:51,267 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:46:51,268 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:46:51,268 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:46:51,268 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:46:51,268 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:46:51,269 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:48:18,529 - MainProcess - Worker done\n", - "2024-12-08 15:48:23,428 - MainProcess - Worker done\n", - "2024-12-08 15:48:24,481 - MainProcess - Worker done\n", - "2024-12-08 15:48:25,622 - MainProcess - Worker done\n", - "2024-12-08 15:48:26,936 - MainProcess - Worker done\n", - "2024-12-08 15:48:27,204 - MainProcess - Worker done\n", - "2024-12-08 15:48:29,640 - MainProcess - Worker done\n", - "2024-12-08 15:48:31,133 - MainProcess - Worker done\n", + "2024-12-09 10:11:54,868 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:11:54,872 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:11:54,871 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:11:54,873 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:11:54,872 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:11:54,873 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:11:54,874 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:11:54,875 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:11:54,875 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:11:54,875 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:11:54,875 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:11:54,876 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:11:54,878 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:11:54,878 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:11:54,882 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:11:54,885 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:13:09,370 - MainProcess - Worker done\n", + "2024-12-09 10:13:11,306 - MainProcess - Worker done\n", + "2024-12-09 10:13:12,494 - MainProcess - Worker done\n", + "2024-12-09 10:13:13,947 - MainProcess - Worker done\n", + "2024-12-09 10:13:16,352 - MainProcess - Worker done\n", + "2024-12-09 10:13:16,554 - MainProcess - Worker done\n", + "2024-12-09 10:13:16,559 - MainProcess - Worker done\n", + "2024-12-09 10:13:17,089 - MainProcess - Worker done\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n" ] }, @@ -620,7 +721,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finished checkpoint 5 of 10\n" + "Finished checkpoint 8 of 12\n" ] }, { @@ -635,50 +736,53 @@ "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", - "2024-12-08 15:48:52,335 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:48:52,338 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:48:52,339 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:48:52,339 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:48:52,340 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:48:52,340 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:48:52,340 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:48:52,341 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:48:52,342 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:48:52,343 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:48:52,345 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:48:52,345 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:48:52,347 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:48:52,349 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:48:52,361 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:48:52,369 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:50:18,154 - MainProcess - Worker done\n", - "2024-12-08 15:50:23,733 - MainProcess - Worker done\n", - "2024-12-08 15:50:23,787 - MainProcess - Worker done\n", - "2024-12-08 15:50:27,180 - MainProcess - Worker done\n", - "2024-12-08 15:50:27,187 - MainProcess - Worker done\n", - "2024-12-08 15:50:27,472 - MainProcess - Worker done\n", - "2024-12-08 15:50:27,798 - MainProcess - Worker done\n", - "2024-12-08 15:50:28,747 - MainProcess - Worker done\n", - "[INFO/MainProcess] process shutting down\n", - "[INFO/MainProcess] process shutting down\n", + "2024-12-09 10:13:38,428 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:13:38,429 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:13:38,428 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:13:38,431 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:13:38,431 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:13:38,432 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:13:38,432 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:13:38,433 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:13:38,433 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:13:38,433 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:13:38,434 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:13:38,434 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:13:38,434 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:13:38,435 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:13:38,435 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:13:38,438 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:14:49,844 - MainProcess - Worker done\n", + "2024-12-09 10:14:54,959 - MainProcess - Worker done\n", + "2024-12-09 10:14:55,220 - MainProcess - Worker done\n", + "2024-12-09 10:14:55,442 - MainProcess - Worker done\n", + "2024-12-09 10:14:56,316 - MainProcess - Worker done\n", + "2024-12-09 10:14:57,139 - MainProcess - Worker done\n", + "2024-12-09 10:14:58,310 - MainProcess - Worker done\n", + "2024-12-09 10:15:01,273 - MainProcess - Worker done\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n", - "[INFO/MainProcess] process shutting down\n" + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Finished checkpoint 6 of 10\n" + "Finished checkpoint 9 of 12\n" ] }, { @@ -693,32 +797,30 @@ "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", - "2024-12-08 15:50:50,256 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:50:50,257 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:50:50,258 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:50:50,259 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:50:50,260 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:50:50,261 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:50:50,262 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:50:50,262 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:50:50,262 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:50:50,264 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:50:50,264 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:50:50,265 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:50:50,265 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:50:50,266 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:50:50,267 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:50:50,268 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:52:21,262 - MainProcess - Worker done\n", - "2024-12-08 15:52:22,589 - MainProcess - Worker done\n", - "2024-12-08 15:52:23,491 - MainProcess - Worker done\n", - "2024-12-08 15:52:24,192 - MainProcess - Worker done\n", - "2024-12-08 15:52:27,835 - MainProcess - Worker done\n", - "2024-12-08 15:52:28,423 - MainProcess - Worker done\n", - "2024-12-08 15:52:28,734 - MainProcess - Worker done\n", - "2024-12-08 15:52:28,935 - MainProcess - Worker done\n", - "[INFO/MainProcess] process shutting down\n", - "[INFO/MainProcess] process shutting down\n", + "2024-12-09 10:15:22,982 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:15:22,982 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:15:22,982 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:15:22,983 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:15:22,983 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:15:22,983 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:15:22,983 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:15:22,984 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:15:22,985 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:15:22,985 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:15:22,985 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:15:22,985 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:15:22,988 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:15:22,989 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:15:22,990 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:15:22,991 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:16:35,715 - MainProcess - Worker done\n", + "2024-12-09 10:16:37,356 - MainProcess - Worker done\n", + "2024-12-09 10:16:38,001 - MainProcess - Worker done\n", + "2024-12-09 10:16:38,457 - MainProcess - Worker done\n", + "2024-12-09 10:16:39,809 - MainProcess - Worker done\n", + "2024-12-09 10:16:41,223 - MainProcess - Worker done\n", + "2024-12-09 10:16:41,523 - MainProcess - Worker done\n", + "2024-12-09 10:16:43,394 - MainProcess - Worker done\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", @@ -726,18 +828,22 @@ "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n", - "[INFO/MainProcess] process shutting down\n" + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Finished checkpoint 7 of 10\n" + "Finished checkpoint 10 of 12\n" ] }, { @@ -752,35 +858,40 @@ "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", - "2024-12-08 15:52:53,942 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:52:53,943 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:52:53,944 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:52:53,944 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:52:53,945 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:52:53,945 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:52:53,945 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:52:53,946 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:52:53,947 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:52:53,947 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:52:53,948 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:52:53,949 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:52:53,949 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:52:53,950 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:52:53,950 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:52:53,952 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:54:22,581 - MainProcess - Worker done\n", - "2024-12-08 15:54:22,706 - MainProcess - Worker done\n", - "2024-12-08 15:54:23,041 - MainProcess - Worker done\n", - "2024-12-08 15:54:24,107 - MainProcess - Worker done\n", - "2024-12-08 15:54:25,412 - MainProcess - Worker done\n", - "2024-12-08 15:54:26,825 - MainProcess - Worker done\n", - "2024-12-08 15:54:27,699 - MainProcess - Worker done\n", - "2024-12-08 15:54:29,916 - MainProcess - Worker done\n", + "2024-12-09 10:17:06,476 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:17:06,476 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:17:06,476 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:17:06,476 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:17:06,477 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:17:06,478 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:17:06,478 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:17:06,478 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:17:06,481 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:17:06,484 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:17:06,484 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:17:06,484 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:17:06,485 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:17:06,486 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:17:06,486 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:17:06,490 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:19:11,420 - MainProcess - Worker done\n", + "2024-12-09 10:19:17,755 - MainProcess - Worker done\n", + "2024-12-09 10:19:19,890 - MainProcess - Worker done\n", + "2024-12-09 10:19:22,460 - MainProcess - Worker done\n", + "2024-12-09 10:19:23,610 - MainProcess - Worker done\n", + "2024-12-09 10:19:24,091 - MainProcess - Worker done\n", + "2024-12-09 10:19:31,442 - MainProcess - Worker done\n", + "2024-12-09 10:19:33,918 - MainProcess - Worker done\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process exiting with exitcode 0\n", "[INFO/MainProcess] process exiting with exitcode 0\n" ] @@ -789,7 +900,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finished checkpoint 8 of 10\n" + "Finished checkpoint 11 of 12\n" ] }, { @@ -804,52 +915,50 @@ "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", "[INFO/MainProcess] child process calling self.run()\n", - "2024-12-08 15:54:55,087 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:54:55,089 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:54:55,089 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:54:55,089 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:54:55,089 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:54:55,090 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:54:55,090 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:54:55,090 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:54:55,090 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:54:55,091 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:54:55,091 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:54:55,091 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:54:55,091 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", - "2024-12-08 15:54:55,092 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:54:55,092 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:54:55,092 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", - "2024-12-08 15:56:11,458 - MainProcess - Worker done\n", - "2024-12-08 15:56:13,407 - MainProcess - Worker done\n", - "2024-12-08 15:56:13,588 - MainProcess - Worker done\n", - "2024-12-08 15:56:15,803 - MainProcess - Worker done\n", - "2024-12-08 15:56:18,828 - MainProcess - Worker done\n", - "2024-12-08 15:56:19,184 - MainProcess - Worker done\n", - "2024-12-08 15:56:19,682 - MainProcess - Worker done\n", - "2024-12-08 15:56:23,865 - MainProcess - Worker done\n", + "2024-12-09 10:20:12,553 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:20:12,554 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:20:12,556 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:20:12,554 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:20:12,563 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:20:12,563 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:20:12,563 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:20:12,564 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:20:12,564 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:20:12,565 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:20:12,566 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:20:12,574 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:20:12,577 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:20:12,578 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:20:12,613 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-09 10:20:12,618 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n", + "2024-12-09 10:23:23,059 - MainProcess - Worker done\n", + "2024-12-09 10:23:32,029 - MainProcess - Worker done\n", + "2024-12-09 10:23:33,558 - MainProcess - Worker done\n", + "2024-12-09 10:23:35,888 - MainProcess - Worker done\n", + "2024-12-09 10:23:39,069 - MainProcess - Worker done\n", + "2024-12-09 10:23:40,202 - MainProcess - Worker done\n", + "2024-12-09 10:23:41,983 - MainProcess - Worker done\n", + "2024-12-09 10:23:45,076 - MainProcess - Worker done\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", "[INFO/MainProcess] process shutting down\n", - "[INFO/MainProcess] process shutting down\n" + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process shutting down\n", + "[INFO/MainProcess] process exiting with exitcode 0\n", + "[INFO/MainProcess] process exiting with exitcode 0\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Finished checkpoint 9 of 10\n" + "Finished checkpoint 12 of 12\n" ] - }, - { - "data": { - "text/plain": [ - "'/Users/kdesoto/superphot-plus-data/tmp_sampler_results'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ @@ -858,7 +967,6 @@ "from superphot_plus.samplers.numpyro_sampler import SVISampler\n", "from superphot_plus.priors import generate_priors\n", "from superphot_plus.config import SuperphotConfig\n", - "import shutil\n", "import os\n", "\n", "config = SuperphotConfig.from_file(\"config.yaml\")\n", @@ -878,27 +986,25 @@ " sampler = svi_sampler,\n", " parallelize=True,\n", " n_parallel=config.n_parallel,\n", - " checkpoint_fn = config.sampler_results_fn,\n", + " checkpoint_fn = os.path.join(\n", + " config.data_dir,\n", + " \"tmp_sampler_results\"\n", + " ),\n", " checkpoint_freq = 512,\n", " pad=True,\n", - " overwrite=False # set to False to continue where left off\n", + " overwrite=True # set to False to continue where left off\n", ")\n", - "SamplerResultGroup(result).save(config.sampler_results_fn)\n", - "\n", - "# backup for later augmentation\n", - "shutil.copytree(\n", - " config.sampler_results_fn, \n", + "SamplerResultGroup(result).save(\n", " os.path.join(\n", " config.data_dir,\n", " \"tmp_sampler_results\"\n", - " ),\n", - " dirs_exist_ok=True\n", + " )\n", ")" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "id": "9e9646f8-e84d-4ebb-97e2-9896fbed67a1", "metadata": { "scrolled": true, @@ -909,45 +1015,45 @@ "name": "stdout", "output_type": "stream", "text": [ - "6579 A_ZTF_r_median beta_ZTF_r_median gamma_ZTF_r_median \\\n", + "6395 A_ZTF_r_median beta_ZTF_r_median gamma_ZTF_r_median \\\n", "id \n", - "2024zxe 1.059074 0.006479 21.383392 \n", - "2024zxx 1.007702 0.004870 10.870375 \n", - "2024zxy 0.998423 0.002929 10.644770 \n", - "2024zzh 1.046732 0.003648 10.914196 \n", - "2024zzy 1.049997 0.006337 17.257851 \n", + "2024zxe 1.060066 0.006515 21.559340 \n", + "2024zxx 1.008632 0.004957 10.922216 \n", + "2024zxy 0.999871 0.003068 10.698563 \n", + "2024zzh 1.048144 0.003795 10.976669 \n", + "2024zzy 1.050948 0.006389 17.307053 \n", "\n", " t_0_ZTF_r_median tau_rise_ZTF_r_median tau_fall_ZTF_r_median \\\n", "id \n", - "2024zxe -10.295750 2.419247 67.299744 \n", - "2024zxx -10.553322 2.706194 30.411579 \n", - "2024zxy -10.893791 3.097742 25.538843 \n", - "2024zzh -11.251680 5.621991 21.184931 \n", - "2024zzy -11.392262 0.771334 22.109600 \n", + "2024zxe -10.272728 2.442825 67.799133 \n", + "2024zxx -10.537067 2.722696 30.501999 \n", + "2024zxy -10.864374 3.129445 25.643831 \n", + "2024zzh -11.220001 5.660433 21.290213 \n", + "2024zzy -11.350541 0.793693 22.185860 \n", "\n", " extra_sigma_ZTF_r_median A_ZTF_g_median beta_ZTF_g_median \\\n", "id \n", - "2024zxe 0.007371 0.845106 -0.010085 \n", - "2024zxx 0.007771 0.878231 -0.010077 \n", - "2024zxy 0.047870 0.845256 -0.010135 \n", - "2024zzh 0.013114 0.904295 -0.010085 \n", - "2024zzy 0.012865 0.749900 -0.010129 \n", + "2024zxe 0.007689 0.846014 -0.009892 \n", + "2024zxx 0.008073 0.879206 -0.009902 \n", + "2024zxy 0.048837 0.846750 -0.009825 \n", + "2024zzh 0.013730 0.905337 -0.009895 \n", + "2024zzy 0.013336 0.751367 -0.009831 \n", "\n", " gamma_ZTF_g_median t_0_ZTF_g_median tau_rise_ZTF_g_median \\\n", "id \n", - "2024zxe 12.247587 -11.879356 1.083900 \n", - "2024zxx 13.902998 -11.966574 0.812314 \n", - "2024zxy 15.130150 -10.588436 1.406396 \n", - "2024zzh 14.530439 -12.834188 2.146679 \n", - "2024zzy 13.305768 -12.602451 0.430131 \n", + "2024zxe 12.282463 -11.843660 1.104342 \n", + "2024zxx 13.929876 -11.937222 0.835339 \n", + "2024zxy 15.161177 -10.566977 1.433044 \n", + "2024zzh 14.549687 -12.822840 2.175005 \n", + "2024zzy 13.339396 -12.565293 0.448307 \n", "\n", " tau_fall_ZTF_g_median extra_sigma_ZTF_g_median score_median \\\n", "id \n", - "2024zxe 26.377838 0.004931 0.658336 \n", - "2024zxx 15.384741 0.005613 0.775972 \n", - "2024zxy 8.810946 0.018759 0.728055 \n", - "2024zzh 13.302399 0.006805 0.861737 \n", - "2024zzy 14.015098 0.013101 1.054282 \n", + "2024zxe 26.452990 0.005153 0.640643 \n", + "2024zxx 15.429514 0.005869 0.760948 \n", + "2024zxy 8.856407 0.019649 0.727402 \n", + "2024zzh 13.335280 0.007082 0.856845 \n", + "2024zzy 14.059729 0.013682 1.056381 \n", "\n", " sampler \n", "id \n", @@ -960,7 +1066,7 @@ }, { "data": { - "image/png": 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", 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", 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", 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", 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", 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", 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", 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", 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", + "image/png": 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", "text/plain": [ "
" ] @@ -1021,7 +1127,12 @@ "\n", "config = SuperphotConfig.from_file(\"config.yaml\")\n", "transient_group = TransientGroup.load(config.transient_data_fn)\n", - "sampler_results = SamplerResultGroup.load(config.sampler_results_fn)\n", + "sampler_results = SamplerResultGroup.load(\n", + " os.path.join(\n", + " config.data_dir,\n", + " \"tmp_sampler_results\"\n", + " )\n", + ")\n", "\n", "priors = generate_priors([\"ZTF_r\",\"ZTF_g\"])\n", "svi_sampler = SVISampler(\n", @@ -1513,20 +1624,19 @@ " sampler = dynesty_sampler,\n", " parallelize=True,\n", " n_parallel=config.n_parallel,\n", - " checkpoint_fn = config.sampler_results_fn,\n", + " checkpoint_fn = os.path.join(\n", + " config.data_dir,\n", + " \"tmp_sampler_results\"\n", + " ),\n", " checkpoint_freq = 128,\n", " pad=False,\n", " overwrite=True, # False to continue from checkpoint\n", ")\n", - "SamplerResultGroup(result).save(config.sampler_results_fn)\n", - "\n", - "# backup for later augmentation\n", - "shutil.copytree(\n", - " config.sampler_results_fn, \n", + "SamplerResultGroup(result).save(\n", " os.path.join(\n", " config.data_dir,\n", " \"tmp_sampler_results\"\n", - " )\n", + " ),\n", ")\n" ] }, @@ -1610,7 +1720,12 @@ "\n", "config = SuperphotConfig.from_file(\"config.yaml\")\n", "transient_group = TransientGroup.load(config.transient_data_fn)\n", - "sampler_results = SamplerResultGroup.load(config.sampler_results_fn)\n", + "sampler_results = SamplerResultGroup.load(\n", + " os.path.join(\n", + " config.data_dir,\n", + " \"tmp_sampler_results\"\n", + " )\n", + ")\n", "\n", "priors = generate_priors([\"ZTF_r\",\"ZTF_g\"])\n", "\n", @@ -1670,7 +1785,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "id": "9dacf611-9d09-4e09-9999-95c5975675e5", "metadata": {}, "outputs": [ @@ -1678,13 +1793,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Converted 0 out of 6579 fits\n", - "Converted 1000 out of 6579 fits\n", - "Converted 2000 out of 6579 fits\n", - "Converted 3000 out of 6579 fits\n", - "Converted 4000 out of 6579 fits\n", - "Converted 5000 out of 6579 fits\n", - "Converted 6000 out of 6579 fits\n" + "Converted 0 out of 6395 fits\n", + "Converted 1000 out of 6395 fits\n", + "Converted 2000 out of 6395 fits\n", + "Converted 3000 out of 6395 fits\n", + "Converted 4000 out of 6395 fits\n", + "Converted 5000 out of 6395 fits\n", + "Converted 6000 out of 6395 fits\n" ] } ], @@ -1734,25 +1849,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "id": "9076c371-e919-4dc8-807c-b2aa585776dc", "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "[INFO/MainProcess] child process calling self.run()\n", - "[INFO/MainProcess] child process calling self.run()\n", - "[INFO/MainProcess] child process calling self.run()\n", - "[INFO/MainProcess] child process calling self.run()\n", - "[INFO/MainProcess] child process calling self.run()\n", - "[INFO/MainProcess] child process calling self.run()\n", - "[INFO/MainProcess] child process calling self.run()\n", - "[INFO/MainProcess] child process calling self.run()\n" - ] - } - ], + "outputs": [], "source": [ "from superphot_plus import SuperphotConfig, SuperphotTrainer\n", "\n", @@ -1771,10 +1871,19 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 1, "id": "bc790c91-898a-4e3f-b94c-c96377e448af", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2024-12-08 21:47:59,082 - MainProcess - Unable to initialize backend 'rocm': module 'jaxlib.xla_extension' has no attribute 'GpuAllocatorConfig'\n", + "2024-12-08 21:47:59,084 - MainProcess - Unable to initialize backend 'tpu': INTERNAL: Failed to open libtpu.so: dlopen(libtpu.so, 0x0001): tried: 'libtpu.so' (no such file), '/System/Volumes/Preboot/Cryptexes/OSlibtpu.so' (no such file), '/Users/kdesoto/conda_envs/superphot_env/bin/../lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache), 'libtpu.so' (no such file), '/usr/local/lib/libtpu.so' (no such file), '/usr/lib/libtpu.so' (no such file, not in dyld cache)\n" + ] + } + ], "source": [ "from superphot_plus import SuperphotConfig, SuperphotTrainer\n", "from snapi import TransientGroup, SamplerResultGroup\n", @@ -1794,7 +1903,7 @@ "trainer.models[0].save(config.model_prefix + \"_full\")\n", "\n", "# train early-type\n", - "trainer.input_features = [\n", + "trainer.config.input_features = [\n", " \"A_ZTF_r\",\n", " \"beta_ZTF_r\",\n", " \"t_0_ZTF_r\",\n", @@ -1816,6 +1925,97 @@ "execution_count": null, "id": "398b1cf0", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A_ZTF_r 0.040580\n", + "beta_ZTF_r 0.004967\n", + "gamma_ZTF_r 1.079022\n", + "t_0_ZTF_r -18.261330\n", + "tau_rise_ZTF_r 0.196180\n", + "tau_fall_ZTF_r 1.477941\n", + "extra_sigma_ZTF_r -1.863424\n", + "A_ZTF_g -0.088600\n", + "beta_ZTF_g -0.015048\n", + "gamma_ZTF_g 0.209774\n", + "t_0_ZTF_g -0.873970\n", + "tau_rise_ZTF_g 0.009889\n", + "tau_fall_ZTF_g -0.371240\n", + "extra_sigma_ZTF_g -0.314438\n", + "dtype: float32\n", + "A_ZTF_r 0.126805\n", + "beta_ZTF_r 0.009827\n", + "gamma_ZTF_r 1.674477\n", + "t_0_ZTF_r -22.448669\n", + "tau_rise_ZTF_r 0.999661\n", + "tau_fall_ZTF_r 1.595848\n", + "extra_sigma_ZTF_r -2.180087\n", + "A_ZTF_g -0.232226\n", + "beta_ZTF_g -0.019849\n", + "gamma_ZTF_g -0.126259\n", + "t_0_ZTF_g -8.976661\n", + "tau_rise_ZTF_g -0.319423\n", + "tau_fall_ZTF_g -0.046385\n", + "extra_sigma_ZTF_g 0.181098\n", + "dtype: float32\n" + ] + }, + { + "ename": "AttributeError", + "evalue": "'SamplerResultGroup' object has no attribute '_2020fcx'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[3], line 14\u001b[0m\n\u001b[1;32m 6\u001b[0m srg \u001b[38;5;241m=\u001b[39m SamplerResultGroup\u001b[38;5;241m.\u001b[39mload(config\u001b[38;5;241m.\u001b[39msampler_results_fn)\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m n \u001b[38;5;129;01min\u001b[39;00m [\n\u001b[1;32m 9\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2019wqd\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 10\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2019wnc\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 11\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2020fcx\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m2019unb\u001b[39m\u001b[38;5;124m'\u001b[39m,\n\u001b[1;32m 13\u001b[0m ]:\n\u001b[0;32m---> 14\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43msrg\u001b[49m\u001b[43m[\u001b[49m\u001b[43mn\u001b[49m\u001b[43m]\u001b[49m\u001b[38;5;241m.\u001b[39mfit_parameters\u001b[38;5;241m.\u001b[39mmedian(axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m))\n\u001b[1;32m 16\u001b[0m trainer \u001b[38;5;241m=\u001b[39m SuperphotTrainer(config)\n\u001b[1;32m 17\u001b[0m trainer\u001b[38;5;241m.\u001b[39msetup_model()\n", + "File \u001b[0;32m~/python_repos/snapi/src/snapi/groups.py:52\u001b[0m, in \u001b[0;36mGroup.__getitem__\u001b[0;34m(self, obj_id)\u001b[0m\n\u001b[1;32m 51\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__getitem__\u001b[39m(\u001b[38;5;28mself\u001b[39m, obj_id: \u001b[38;5;28mstr\u001b[39m):\n\u001b[0;32m---> 52\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m_\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m+\u001b[39mobj_id)\u001b[38;5;241m.\u001b[39mcopy()\n", + "\u001b[0;31mAttributeError\u001b[0m: 'SamplerResultGroup' object has no attribute '_2020fcx'" + ] + } + ], + "source": [ + "from superphot_plus import SuperphotConfig, SuperphotTrainer, SuperphotLightGBM\n", + "from snapi import TransientGroup, SamplerResultGroup\n", + "\n", + "config = SuperphotConfig.from_file(\"config.yaml\")\n", + "transient_group = TransientGroup.load(config.transient_data_fn)\n", + "srg = SamplerResultGroup.load(config.sampler_results_fn)\n", + "\n", + "trainer = SuperphotTrainer(config)\n", + "trainer.setup_model()\n", + "meta_df = trainer.retrieve_transient_metadata(transient_group)\n", + "\n", + "trainer.models[0] = SuperphotLightGBM.load(config.model_prefix + \"_full.pt\")\n", + "print(trainer.models[0].best_model.feature_name_)\n", + "trainer.models[1]= SuperphotLightGBM.load(config.model_prefix + \"_early.pt\")\n", + "probs_avg = trainer.evaluate(0, (meta_df, srg))\n", + "probs_avg.to_csv(config.probs_fn[:-4] + \"_full.csv\")\n", + "\n", + "# train early-type\n", + "trainer.config.input_features = [\n", + " \"A_ZTF_r\",\n", + " \"beta_ZTF_r\",\n", + " \"t_0_ZTF_r\",\n", + " \"tau_rise_ZTF_r\",\n", + " \"extra_sigma_ZTF_r\",\n", + " \"A_ZTF_g\",\n", + " \"beta_ZTF_g\",\n", + " \"t_0_ZTF_g\",\n", + " \"tau_rise_ZTF_g\",\n", + " \"extra_sigma_ZTF_g\",\n", + "]\n", + "\n", + "probs_avg_early = trainer.evaluate(1, (meta_df, srg))\n", + "probs_avg_early.to_csv(config.probs_fn[:-4] + \"_early.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "26ea7d20", + "metadata": {}, "outputs": [], "source": [] } diff --git a/src/superphot_plus/data_generation/spec.py b/src/superphot_plus/data_generation/spec.py index bf09228..33bb28f 100644 --- a/src/superphot_plus/data_generation/spec.py +++ b/src/superphot_plus/data_generation/spec.py @@ -129,7 +129,7 @@ def import_all_names( tg = TransientGroup.load(save_dir) print(f"{len(tg.metadata.index)} events already saved.") skipped_names.extend(list(tg.metadata.index)) - transients = [t for t in tg] + transients = [t for t in tg if t.id in names] else: with open(skipped_names_fn, "w") as f: f.write("") diff --git a/src/superphot_plus/samplers/numpyro_sampler.py b/src/superphot_plus/samplers/numpyro_sampler.py index a4f92fa..7157c3a 100644 --- a/src/superphot_plus/samplers/numpyro_sampler.py +++ b/src/superphot_plus/samplers/numpyro_sampler.py @@ -326,7 +326,7 @@ def fit( #print(params_loc, params_scale) param_arr = params_loc + random.normal( - key=self._rng, shape=(100,) + key=self._rng, shape=(1000,) )[:,jnp.newaxis] * params_scale posterior_samples = pd.DataFrame(np.array(param_arr), columns=self._params)