編集履歴

質問編集履歴

結果行変更

2021/02/17 01:22

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tanuki_

スコア42

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@@ -211,19 +211,19 @@
 Traceback (most recent call last):
   File "cnn_image.py", line 53, in <module>
     model.fit(train_images, train_labels, epochs=5)
-  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1100, in fit
+  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1100, in fit
     tmp_logs = self.train_function(iterator)
-  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\def_function.py", line 828, in __call__
+  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\def_function.py", line 828, in __call__
     result = self._call(*args, **kwds)
-  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\def_function.py", line 888, in _call
+  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\def_function.py", line 888, in _call
     return self._stateless_fn(*args, **kwds)
-  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 2942, in __call__
+  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 2942, in __call__
     return graph_function._call_flat(
-  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 1918, in _call_flat
+  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 1918, in _call_flat
     return self._build_call_outputs(self._inference_function.call(
-  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 555, in call
+  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 555, in call
     outputs = execute.execute(
-  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
+  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
     tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
 tensorflow.python.framework.errors_impl.InvalidArgumentError:  logits and labels must have the same first dimension, got logits shape [10,10] and labels shape [100]
          [[node sparse_categorical_crossentropy/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits (defined at cnn_image.py:53) ]] [Op:__inference_train_

回答に対して試した結果を更新

2021/02/17 01:22

投稿

tanuki_

スコア42

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@@ -125,6 +125,12 @@
 ```
 ```python
+# TensorFlow と tf.keras のインポート
+import tensorflow as tf
+from tensorflow import keras
+# ヘルパーライブラリのインポート
+import numpy as np
 import matplotlib.pyplot as plt
 print(tf.__version__)
@@ -133,10 +139,12 @@
 #(train_images, train_labels), (test_images, test_labels) = mnist.load_data()
 import image_dataset
-train_images ,train_labels, test_images ,test_labels = image_dataset.make('C:dataset',img_size = 32, train_num=10000 , test_num =1000)
+train_images ,train_labels, test_images ,test_labels = image_dataset.make('C:/Users/cv/dataset',img_size = 32, train_num=10000 , test_num =1000)
 train_images.shape
+print(train_images.shape, train_labels.shape)
 #plt.figure()
 #plt.imshow(train_images[0], cmap='gray')
 #plt.colorbar()
@@ -160,7 +168,6 @@
 test_images = test_images / 255.0
 model = keras.Sequential([
-    keras.layers.Flatten(input_shape=(28, 28)),
     keras.layers.Dense(128, activation='relu'),
     keras.layers.Dense(10, activation='softmax')
 ])
@@ -181,45 +188,51 @@
 print("end")
 ```
+Flatten実行の行を消して実行した結果
-```実行結果
+```
-PS C:\Users>    python cnn_test2.py
-2021-02-16 12:08:21.934635: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not f
+2021-02-17 10:05:53.420778: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cudart64_110.dll'; dlerror: cudart64_110.dll not f
 ound
-2021-02-16 12:08:21.940632: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
+2021-02-17 10:05:53.428672: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
+2.4.1
+0read complete ,1 pictures exit
 ～中略～
+(10, 3072) (10, 10)
+2021-02-17 10:05:59.694157: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
-WARNING:tensorflow:Model was constructed with shape (None, 28, 28) for input KerasTensor(type_spec=TensorSpec(shape=(None, 28, 28), dtype=tf.float32, name='flatten_input'), n
+2021-02-17 10:05:59.706703: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'nvcuda.dll'; dlerror: nvcuda.dll not found
+2021-02-17 10:05:59.718986: W tensorflow/stream_executor/cuda/cuda_driver.cc:326] failed call to cuInit: UNKNOWN ERROR (303)
+2021-02-17 10:05:59.799102: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: CVPC-0164
+2021-02-17 10:05:59.806406: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: CVPC-0164
-ame='flatten_input', description="created by layer 'flatten_input'"), but it was called on an input with incompatible shape (None, 2352).
+2021-02-17 10:05:59.811840: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use t
+he following CPU instructions in performance-critical operations:  AVX2
+To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
+2021-02-17 10:05:59.820411: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
+2021-02-17 10:06:00.102449: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
+Epoch 1/5
 Traceback (most recent call last):
-  File "cnn_test2.py", line 51, in <module>
+  File "cnn_image.py", line 53, in <module>
     model.fit(train_images, train_labels, epochs=5)
-  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1100, in fit
+  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\keras\engine\training.py", line 1100, in fit
     tmp_logs = self.train_function(iterator)
-  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\def_function.py", line 828, in __call__
+  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\def_function.py", line 828, in __call__
     result = self._call(*args, **kwds)
-  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\def_function.py", line 871, in _call
+  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\def_function.py", line 888, in _call
+    return self._stateless_fn(*args, **kwds)
+  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 2942, in __call__
+    return graph_function._call_flat(
+  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 1918, in _call_flat
-    self._initialize(args, kwds, add_initializers_to=initializers)
+    return self._build_call_outputs(self._inference_function.call(
-  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\def_function.py", line 725, in _initialize
+  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 555, in call
-    self._stateful_fn._get_concrete_function_internal_garbage_collected(  # pylint: disable=protected-access
-  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 2969, in _get_concrete_function_internal_garbage_collected
-    graph_function, _ = self._maybe_define_function(args, kwargs)
-  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 3361, in _maybe_define_function
-    graph_function = self._create_graph_function(args, kwargs)
-  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\function.py", line 3196, in _create_graph_function
-    func_graph_module.func_graph_from_py_func(
-  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\framework\func_graph.py", line 990, in func_graph_from_py_func
-    func_outputs = python_func(*func_args, **func_kwargs)
+    outputs = execute.execute(
-  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\def_function.py", line 634, in wrapped_fn
+  File "C:\Users\cv\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\eager\execute.py", line 59, in quick_execute
-    out = weak_wrapped_fn().__wrapped__(*args, **kwds)
+    tensors = pywrap_tfe.TFE_Py_Execute(ctx._handle, device_name, op_name,
+tensorflow.python.framework.errors_impl.InvalidArgumentError:  logits and labels must have the same first dimension, got logits shape [10,10] and labels shape [100]
-  File "C:\Users\anaconda3\envs\tensorflow-cpu\lib\site-packages\tensorflow\python\framework\func_graph.py", line 977, in wrapper
+         [[node sparse_categorical_crossentropy/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits (defined at cnn_image.py:53) ]] [Op:__inference_train_
-    raise e.ag_error_metadata.to_exception(e)
-ValueError: in user code:
+function_528]
-packages\tensorflow\python\keras\engine\input_spec.py:255 assert_input_compatibility
+Function call stack:
-        raise ValueError(
+train_function
-    ValueError: Input 0 of layer dense is incompatible with the layer: expected axis -1 of input shape to have value 784 but received input with shape (None, 2352)
-PS C:\Users>
+PS C:\Users\cv>
 ```
 print(train_images.shape, train_labels.shape)の結果
 ```

書式の改善

2021/02/17 01:20

投稿

tanuki_

スコア42

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@@ -221,7 +221,7 @@
 PS C:\Users>
 ```
-print(train_images.shape, train_labels.shape)`の結果
+print(train_images.shape, train_labels.shape)の結果
 ```
 (10, 2352) (10, 10)
 ```

情報追加

2021/02/16 05:43

投稿

tanuki_

スコア42

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@@ -221,8 +221,8 @@
 PS C:\Users>
 ```
-```print(train_images.shape, train_labels.shape)`の結果
+print(train_images.shape, train_labels.shape)`の結果
+```
 (10, 2352) (10, 10)
 ```
 python3.7

print(train_images.shape, train_labels.shape)`の結果を追記しました。

2021/02/16 04:41

投稿

tanuki_

スコア42

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@@ -221,5 +221,9 @@
 PS C:\Users>
 ```
+```print(train_images.shape, train_labels.shape)`の結果
+(10, 2352) (10, 10)
+```
 python3.7
 Tensorflow2.4.1