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v67/inf batch size 1/no token. #20

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merged 1 commit into from
Sep 3, 2024
Merged

v67/inf batch size 1/no token. #20

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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -64,7 +64,7 @@ UHD driver arguments ```num_recv_frames``` or ```recv_frame_size``` may be too h
Stop containers, and reset the Ettus as follows:

```
$ /usr/lib/uhd/utils/b2xx_fx3_utils -D
$ /usr/lib/uhd/utils/b2xx_fx3_utils -U
$ /usr/lib/uhd/utils/b2xx_fx3_utils -S
$ /usr/libexec/uhd/utils/b2xx_fx3_utils -D
$ /usr/libexec/uhd/utils/b2xx_fx3_utils -U
$ /usr/libexec/uhd/utils/b2xx_fx3_utils -S
```
3 changes: 2 additions & 1 deletion scanner.yml
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Expand Up @@ -17,7 +17,7 @@ services:
- '1883:1883'
gamutrf:
restart: always
image: iqtlabs/gamutrf:v0.5.66
image: iqtlabs/gamutrf:v0.5.67
networks:
- gamutrf
ports:
Expand Down Expand Up @@ -87,6 +87,7 @@ services:
- --iq_inference_squelch_db=-50
- --iq_inference_model_server=torchserve:8080
- --iq_inference_model_name=torchsig_model
- --inference_batch=1
# - --write_samples=1000000000
- --no-write_fft_points
- --sample_dir=/logs/samples
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1 change: 1 addition & 0 deletions torchserve-cuda.yml
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Expand Up @@ -34,4 +34,5 @@ services:
# As of torchserve v11, you will need to add setuptools==69.5.1
# to your requirements.txt when generating a MAR file
# https://github.com/pytorch/serve/issues/3176
- --disable-token-auth
- --models torchsig_model=torchsig_model.mar
1 change: 1 addition & 0 deletions torchserve.yml
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Expand Up @@ -26,4 +26,5 @@ services:
# As of torchserve v11, you will need to add setuptools==69.5.1
# to your requirements.txt when generating a MAR file
# https://github.com/pytorch/serve/issues/3176
- --disable-token-auth
- --models mini2_snr=mini2_snr.mar
2 changes: 1 addition & 1 deletion waterfall.yml
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Expand Up @@ -10,7 +10,7 @@ networks:
services:
waterfall:
restart: always
image: iqtlabs/gamutrf-waterfall:v0.5.66
image: iqtlabs/gamutrf-waterfall:v0.5.67
networks:
- gamutrf
ports:
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