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Use official code to Uniform Quantization, But Get 502 Bad Gateway Error.
Quantized: model/resnet_model/Relu_18/uniform_quantize
--2019-09-19 16:08:10-- https://api.ai.tencent.com/pocketflow/models_resnet_20_at_cifar_10.tar.gz
Resolving api.ai.tencent.com (api.ai.tencent.com)... 61.151.164.80
Connecting to api.ai.tencent.com (api.ai.tencent.com)|61.151.164.80|:443... connected.
HTTP request sent, awaiting response... 502 Bad Gateway
2019-09-19 16:08:10 ERROR 502: Bad Gateway.
Traceback (most recent call last):
File "main.py", line 69, in
tf.app.run()
File "/home/hpc/anaconda3/envs/ccx_PF/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "main.py", line 51, in main
learner = create_learner(sm_writer, model_helper)
File "/home/hpc/ccx/code/Model_Compress/PocketFlow/learners/learner_utils.py", line 62, in create_learner
learner = NonUniformQuantLearner(sm_writer, model_helper)
File "/home/hpc/ccx/code/Model_Compress/PocketFlow/learners/nonuniform_quantization/learner.py", line 99, in init
self.download_model()
File "/home/hpc/ccx/code/Model_Compress/PocketFlow/learners/abstract_learner.py", line 125, in download_model
'pre-trained model not avaialable: {} / {}'.format(self.model_name, self.dataset_name))
FileNotFoundError: pre-trained model not avaialable: resnet_20 / cifar_10
The text was updated successfully, but these errors were encountered:
Use official code to Uniform Quantization, But Get 502 Bad Gateway Error.
Quantized: model/resnet_model/Relu_18/uniform_quantize
--2019-09-19 16:08:10-- https://api.ai.tencent.com/pocketflow/models_resnet_20_at_cifar_10.tar.gz
Resolving api.ai.tencent.com (api.ai.tencent.com)... 61.151.164.80
Connecting to api.ai.tencent.com (api.ai.tencent.com)|61.151.164.80|:443... connected.
HTTP request sent, awaiting response... 502 Bad Gateway
2019-09-19 16:08:10 ERROR 502: Bad Gateway.
Traceback (most recent call last):
File "main.py", line 69, in
tf.app.run()
File "/home/hpc/anaconda3/envs/ccx_PF/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "main.py", line 51, in main
learner = create_learner(sm_writer, model_helper)
File "/home/hpc/ccx/code/Model_Compress/PocketFlow/learners/learner_utils.py", line 62, in create_learner
learner = NonUniformQuantLearner(sm_writer, model_helper)
File "/home/hpc/ccx/code/Model_Compress/PocketFlow/learners/nonuniform_quantization/learner.py", line 99, in init
self.download_model()
File "/home/hpc/ccx/code/Model_Compress/PocketFlow/learners/abstract_learner.py", line 125, in download_model
'pre-trained model not avaialable: {} / {}'.format(self.model_name, self.dataset_name))
FileNotFoundError: pre-trained model not avaialable: resnet_20 / cifar_10
The text was updated successfully, but these errors were encountered: