質問編集履歴
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画像を編集しました．
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Code2をPCを再起動して実行したところ動きました．
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PCを再起動して実行したら動いたため．
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PCを再起動して実行したら動いたため．
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train_function
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```
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質問者さんからの助言を試したことを追記し，その際のエラーコードも追記しました．．
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以下がエラーメッセージでした．特に問題の原因となるような言葉は書いてなさそうです．．
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```python
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```python
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UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
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[[node sequential/conv2d/Relu (defined at <ipython-input-2-de4210406d90>:13) ]] [Op:__inference_train_function_853]
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質問者さんからの助言を試したことを追記し，その際のエラーコードも追記しました．．
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でCUDA,cudnnが出てきません．
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PATHは以下のように通してます．
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原因が分かりません．ご教授よろしくお願いいたします．
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### 追記
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> 「try looking to see if a warning log message was printed above.」
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と書いてありますけど、それより上には関係してそうなメッセージは何か書かれてませんか?
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以下がエラーメッセージでした．特に問題の原因となるような言葉は書いてなさそうです．．
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```python
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UnknownError Traceback (most recent call last)
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<ipython-input-15-284f1d86293d> in <module>
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6 discriminator_x = pix2pix.discriminator(norm_type='instancenorm', target=False)
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7 discriminator_y = pix2pix.discriminator(norm_type='instancenorm', target=False)
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----> 8 to_zebra = generator_g(sample_horse)
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9 to_horse = generator_f(sample_zebra)
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10 plt.figure(figsize=(8, 8))
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~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in __call__(self, *args, **kwargs)
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983
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984 with ops.enable_auto_cast_variables(self._compute_dtype_object):
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--> 985 outputs = call_fn(inputs, *args, **kwargs)
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986
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987 if self._activity_regularizer:
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~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\keras\engine\functional.py in call(self, inputs, training, mask)
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384 """
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385 return self._run_internal_graph(
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--> 386 inputs, training=training, mask=mask)
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387
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388 def compute_output_shape(self, input_shape):
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~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\keras\engine\functional.py in _run_internal_graph(self, inputs, training, mask)
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506
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507 args, kwargs = node.map_arguments(tensor_dict)
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--> 508 outputs = node.layer(*args, **kwargs)
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509
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510 # Update tensor_dict.
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983
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984 with ops.enable_auto_cast_variables(self._compute_dtype_object):
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--> 985 outputs = call_fn(inputs, *args, **kwargs)
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987 if self._activity_regularizer:
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~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\keras\engine\sequential.py in call(self, inputs, training, mask)
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370 if not self.built:
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371 self._init_graph_network(self.inputs, self.outputs)
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--> 372 return super(Sequential, self).call(inputs, training=training, mask=mask)
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+
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283
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373
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284
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+
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285
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374 outputs = inputs # handle the corner case where self.layers is empty
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286
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+
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287
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+
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288
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+
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289
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+
~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\keras\engine\functional.py in call(self, inputs, training, mask)
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290
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+
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291
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+
384 """
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292
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+
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293
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+
385 return self._run_internal_graph(
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294
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+
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295
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+
--> 386 inputs, training=training, mask=mask)
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296
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+
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297
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+
387
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298
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+
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299
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+
388 def compute_output_shape(self, input_shape):
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300
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+
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301
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+
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302
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+
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303
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+
~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\keras\engine\functional.py in _run_internal_graph(self, inputs, training, mask)
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304
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+
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305
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+
506
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306
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+
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307
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+
507 args, kwargs = node.map_arguments(tensor_dict)
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308
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+
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309
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+
--> 508 outputs = node.layer(*args, **kwargs)
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310
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311
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509
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312
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+
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313
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510 # Update tensor_dict.
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314
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+
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315
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+
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316
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+
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317
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+
~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\keras\engine\base_layer.py in __call__(self, *args, **kwargs)
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318
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+
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319
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+
983
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320
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+
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321
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+
984 with ops.enable_auto_cast_variables(self._compute_dtype_object):
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322
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+
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323
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+
--> 985 outputs = call_fn(inputs, *args, **kwargs)
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324
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+
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325
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+
986
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326
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327
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987 if self._activity_regularizer:
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328
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+
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329
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+
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330
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+
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331
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+
~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\keras\layers\convolutional.py in call(self, inputs)
|
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332
|
+
|
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333
|
+
245 inputs = array_ops.pad(inputs, self._compute_causal_padding(inputs))
|
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334
|
+
|
|
335
|
+
246
|
|
336
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+
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337
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+
--> 247 outputs = self._convolution_op(inputs, self.kernel)
|
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338
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+
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339
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+
248
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340
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+
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341
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+
249 if self.use_bias:
|
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342
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+
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343
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+
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344
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+
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345
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+
~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\util\dispatch.py in wrapper(*args, **kwargs)
|
|
346
|
+
|
|
347
|
+
199 """Call target, and fall back on dispatchers if there is a TypeError."""
|
|
348
|
+
|
|
349
|
+
200 try:
|
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350
|
+
|
|
351
|
+
--> 201 return target(*args, **kwargs)
|
|
352
|
+
|
|
353
|
+
202 except (TypeError, ValueError):
|
|
354
|
+
|
|
355
|
+
203 # Note: convert_to_eager_tensor currently raises a ValueError, not a
|
|
356
|
+
|
|
357
|
+
|
|
358
|
+
|
|
359
|
+
~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\ops\nn_ops.py in convolution_v2(input, filters, strides, padding, data_format, dilations, name)
|
|
360
|
+
|
|
361
|
+
1016 data_format=data_format,
|
|
362
|
+
|
|
363
|
+
1017 dilations=dilations,
|
|
364
|
+
|
|
365
|
+
-> 1018 name=name)
|
|
366
|
+
|
|
367
|
+
1019
|
|
368
|
+
|
|
369
|
+
1020
|
|
370
|
+
|
|
371
|
+
|
|
372
|
+
|
|
373
|
+
~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\ops\nn_ops.py in convolution_internal(input, filters, strides, padding, data_format, dilations, name, call_from_convolution, num_spatial_dims)
|
|
374
|
+
|
|
375
|
+
1146 data_format=data_format,
|
|
376
|
+
|
|
377
|
+
1147 dilations=dilations,
|
|
378
|
+
|
|
379
|
+
-> 1148 name=name)
|
|
380
|
+
|
|
381
|
+
1149 else:
|
|
382
|
+
|
|
383
|
+
1150 if channel_index == 1:
|
|
384
|
+
|
|
385
|
+
|
|
386
|
+
|
|
387
|
+
~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\ops\nn_ops.py in _conv2d_expanded_batch(input, filters, strides, padding, data_format, dilations, name)
|
|
388
|
+
|
|
389
|
+
2590 data_format=data_format,
|
|
390
|
+
|
|
391
|
+
2591 dilations=dilations,
|
|
392
|
+
|
|
393
|
+
-> 2592 name=name)
|
|
394
|
+
|
|
395
|
+
2593 return squeeze_batch_dims(
|
|
396
|
+
|
|
397
|
+
2594 input,
|
|
398
|
+
|
|
399
|
+
|
|
400
|
+
|
|
401
|
+
~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\ops\gen_nn_ops.py in conv2d(input, filter, strides, padding, use_cudnn_on_gpu, explicit_paddings, data_format, dilations, name)
|
|
402
|
+
|
|
403
|
+
936 return _result
|
|
404
|
+
|
|
405
|
+
937 except _core._NotOkStatusException as e:
|
|
406
|
+
|
|
407
|
+
--> 938 _ops.raise_from_not_ok_status(e, name)
|
|
408
|
+
|
|
409
|
+
939 except _core._FallbackException:
|
|
410
|
+
|
|
411
|
+
940 pass
|
|
412
|
+
|
|
413
|
+
|
|
414
|
+
|
|
415
|
+
~\anaconda3\envs\DEP3\lib\site-packages\tensorflow\python\framework\ops.py in raise_from_not_ok_status(e, name)
|
|
416
|
+
|
|
417
|
+
6841 message = e.message + (" name: " + name if name is not None else "")
|
|
418
|
+
|
|
419
|
+
6842 # pylint: disable=protected-access
|
|
420
|
+
|
|
421
|
+
-> 6843 six.raise_from(core._status_to_exception(e.code, message), None)
|
|
422
|
+
|
|
423
|
+
6844 # pylint: enable=protected-access
|
|
424
|
+
|
|
425
|
+
6845
|
|
426
|
+
|
|
427
|
+
|
|
428
|
+
|
|
429
|
+
~\anaconda3\envs\DEP3\lib\site-packages\six.py in raise_from(value, from_value)
|
|
430
|
+
|
|
431
|
+
|
|
432
|
+
|
|
433
|
+
UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above. [Op:Conv2D]
|
|
348
434
|
|
|
349
435
|
```
|
|
350
436
|
|
|
351
437
|
|
|
352
438
|
|
|
439
|
+
|
|
440
|
+
|
|
441
|
+
> [https://teratail.com/questions/306602
|
|
442
|
+
|
|
443
|
+
](https://teratail.com/questions/306602)
|
|
444
|
+
|
|
353
|
-
|
|
445
|
+
の「Code2」をGPU有り環境で実行すると
|
|
354
|
-
|
|
355
|
-
|
|
446
|
+
|
|
356
|
-
|
|
357
|
-
|
|
447
|
+
|
|
358
|
-
|
|
359
|
-
|
|
360
|
-
|
|
361
|
-
|
|
362
|
-
|
|
448
|
+
|
|
363
|
-
|
|
449
|
+
上記のコードを実行したところ同じようなエラーが出ました．．．
|
|
450
|
+
|
|
451
|
+
|
|
452
|
+
|
|
453
|
+
```python
|
|
454
|
+
|
|
455
|
+
|
|
456
|
+
|
|
457
|
+
UnknownError: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
|
|
458
|
+
|
|
459
|
+
[[node sequential/conv2d/Relu (defined at <ipython-input-2-de4210406d90>:13) ]] [Op:__inference_train_function_853]
|
|
460
|
+
|
|
461
|
+
|
|
462
|
+
|
|
463
|
+
Function call stack:
|
|
464
|
+
|
|
465
|
+
train_function
|
|
466
|
+
|
|
467
|
+
```
|