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17 changes: 17 additions & 0 deletions
17
benchmarks/image_recognition/tensorflow/mobilenet_v1/inference/bfloat16/__init__.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,17 @@ | ||
| # | ||
| # -*- coding: utf-8 -*- | ||
| # | ||
| # Copyright (c) 2020 Intel Corporation | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
| # |
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benchmarks/image_recognition/tensorflow/mobilenet_v1/inference/bfloat16/config.json
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|---|---|---|
| @@ -0,0 +1,6 @@ | ||
| { | ||
| "optimization_parameters": { | ||
| "KMP_AFFINITY": "granularity=fine,verbose,compact,1,0", | ||
| "KMP_BLOCKTIME": 1 | ||
| } | ||
| } |
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benchmarks/image_recognition/tensorflow/mobilenet_v1/inference/bfloat16/model_init.py
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| Original file line number | Diff line number | Diff line change |
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| # | ||
| # -*- coding: utf-8 -*- | ||
| # | ||
| # Copyright (c) 2020 Intel Corporation | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
| # | ||
|
|
||
| import argparse | ||
| import os | ||
| from common.base_model_init import BaseModelInitializer | ||
| from common.base_model_init import set_env_var | ||
|
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| class ModelInitializer(BaseModelInitializer): | ||
| """ Model initializer for MobileNet V1 BFloat16 inference """ | ||
|
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| def __init__(self, args, custom_args=[], platform_util=None): | ||
| super(ModelInitializer, self).__init__(args, custom_args, platform_util) | ||
|
|
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| # use default batch size if -1 | ||
| if self.args.batch_size == -1: | ||
| self.args.batch_size = 128 | ||
|
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| # Set KMP env vars, if they haven't already been set | ||
| config_file_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), "config.json") | ||
| self.set_kmp_vars(config_file_path) | ||
|
|
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| # set num_inter_threads and num_intra_threads (override inter threads to 2) | ||
| self.set_num_inter_intra_threads(num_inter_threads=2) | ||
|
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| script_name = "accuracy.py" if self.args.accuracy_only \ | ||
| else "benchmark.py" | ||
| script_path = os.path.join( | ||
| self.args.intelai_models, self.args.mode, script_name) | ||
| self.command_prefix = "{} {}".format(self.python_exe, script_path) | ||
|
|
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| if self.args.socket_id != -1: | ||
| self.command_prefix = "numactl --cpunodebind={} -l {}".format( | ||
| str(self.args.socket_id), self.command_prefix) | ||
|
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| set_env_var("OMP_NUM_THREADS", self.args.num_intra_threads) | ||
|
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| self.parse_args() | ||
|
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| if not self.args.accuracy_only: | ||
| # add args for the benchmark script | ||
| script_args_list = [ | ||
| "input_graph", "input_height", "input_width", "batch_size", | ||
| "input_layer", "output_layer", "num_inter_threads", | ||
| "num_intra_threads", "warmup_steps", "steps", "precision"] | ||
| self.command_prefix = self.add_args_to_command( | ||
| self.command_prefix, script_args_list) | ||
| else: | ||
| # add args for the accuracy script | ||
| script_args_list = [ | ||
| "input_graph", "data_location", "input_height", "input_width", | ||
| "batch_size", "input_layer", "output_layer", | ||
| "num_inter_threads", "num_intra_threads", "precision"] | ||
| self.command_prefix = self.add_args_to_command( | ||
| self.command_prefix, script_args_list) | ||
|
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| def parse_args(self): | ||
| if self.custom_args is None: | ||
| return | ||
|
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| parser = argparse.ArgumentParser() | ||
| parser.add_argument( | ||
| "--input_height", default=224, | ||
| dest='input_height', type=int, help="input height") | ||
| parser.add_argument( | ||
| "--input_width", default=224, | ||
| dest='input_width', type=int, help="input width") | ||
| parser.add_argument( | ||
| "--warmup_steps", dest="warmup_steps", | ||
| help="number of warmup steps", | ||
| type=int, default=10) | ||
| parser.add_argument( | ||
| "--steps", dest="steps", | ||
| help="number of steps", | ||
| type=int, default=50) | ||
| parser.add_argument( | ||
| "--input_layer", dest="input_layer", | ||
| help="name of input layer", | ||
| type=str, default="input") | ||
| parser.add_argument( | ||
| "--output_layer", dest="output_layer", | ||
| help="name of output layer", | ||
| type=str, default="MobilenetV1/Predictions/Reshape_1") | ||
|
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| self.args = parser.parse_args(self.custom_args, namespace=self.args) | ||
|
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| def run(self): | ||
| self.run_command(self.command_prefix) |
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