質問編集履歴
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記載漏れを再修正しました。
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C:\Users\----\Desktop\script_file\200605-2_mnisttest_new>yosoku.py
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Using TensorFlow backend.
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エラーメッセージを全文掲載いたしました。
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C:\Users\tunnel\Desktop\script_file\200605-2_mnisttest_new>yosoku.py
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Using TensorFlow backend.
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2020-06-05 20:47:52.704005: W tensorflow/stream_executor/platform/default/dso_loader.cc:55
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] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
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2020-06-05 20:47:52.711669: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore ab
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ove cudart dlerror if you do not have a GPU set up on your machine.
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2020-06-05 20:47:59.743375: I tensorflow/stream_executor/platform/default/dso_loader.cc:44
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] Successfully opened dynamic library nvcuda.dll
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2020-06-05 20:48:00.002471: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found
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device 0 with properties:
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pciBusID: 0000:01:00.0 name: Quadro K600 computeCapability: 3.0
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coreClock: 0.8755GHz coreCount: 1 deviceMemorySize: 1.00GiB deviceMemoryBandwidth: 26.55Gi
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B/s
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2020-06-05 20:48:00.012087: W tensorflow/stream_executor/platform/default/dso_loader.cc:55
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] Could not load dynamic library 'cudart64_101.dll'; dlerror: cudart64_101.dll not found
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2020-06-05 20:48:00.017721: W tensorflow/stream_executor/platform/default/dso_loader.cc:55
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] Could not load dynamic library 'cublas64_10.dll'; dlerror: cublas64_10.dll not found
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2020-06-05 20:48:00.025252: W tensorflow/stream_executor/platform/default/dso_loader.cc:55
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2020-06-05 20:48:00.031194: W tensorflow/stream_executor/platform/default/dso_loader.cc:55
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2020-06-05 20:48:00.038717: W tensorflow/stream_executor/platform/default/dso_loader.cc:55
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2020-06-05 20:48:00.045310: W tensorflow/stream_executor/platform/default/dso_loader.cc:55
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2020-06-05 20:48:00.053916: W tensorflow/stream_executor/platform/default/dso_loader.cc:55
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2020-06-05 20:48:00.061317: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1598] Canno
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t dlopen some GPU libraries. Please make sure the missing libraries mentioned above are in
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stalled properly if you would like to use GPU. Follow the guide at https://www.tensorflow.
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org/install/gpu for how to download and setup the required libraries for your platform.
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Skipping registering GPU devices...
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2020-06-05 20:48:00.078168: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU
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supports instructions that this TensorFlow binary was not compiled to use: AVX2
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2020-06-05 20:48:00.114045: I tensorflow/compiler/xla/service/service.cc:168] XLA service
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. Devices:
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2020-06-05 20:48:00.121366: I tensorflow/compiler/xla/service/service.cc:176] StreamExec
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utor device (0): Host, Default Version
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2020-06-05 20:48:00.127601: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Devic
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e interconnect StreamExecutor with strength 1 edge matrix:
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2020-06-05 20:48:00.133423: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108]
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C:\Users\tunnel\AppData\Local\Programs\Python\Python38\lib\site-packages\keras_preprocessi
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ng\image\utils.py:107: UserWarning: grayscale is deprecated. Please use color_mode = "gray
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scale"
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warnings.warn('grayscale is deprecated. Please use '
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Traceback (most recent call last):
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File "C:\Users\tunnel\Desktop\script_file\200605-2_mnisttest_new\yosoku.py", line 30, in
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<module>
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features = model.predict(X)
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File "C:\Users\tunnel\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\eng
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ine\training.py", line 1441, in predict
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x, _, _ = self._standardize_user_data(x)
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File "C:\Users\tunnel\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\eng
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ine\training.py", line 574, in _standardize_user_data
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x = training_utils.standardize_input_data(
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File "C:\Users\tunnel\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\eng
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ine\training_utils.py", line 131, in standardize_input_data
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raise ValueError(
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ValueError:Error when checking input: expected dense_1_input to have 2 dimensions, but go
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ValueError: Error when checking input: expected dense_1_input to have 2 dimensions, but go
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t array with shape (1, 28, 28, 1)
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C:\Users\tunnel\Desktop\script_file\200605-2_mnisttest_new>
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```
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