TensorFlow:Blas GEMM 启动失败 [英] TensorFlow: Blas GEMM launch failed
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问题描述
当我尝试使用 GPU 将 TensorFlow 与 Keras 结合使用时，我收到此错误消息:
When I'm trying to use TensorFlow with Keras using the gpu, I'm getting this error message:
C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernel\__main__.py:2: UserWarning: Update your `fit_generator` call to the Keras 2 API: `fit_generator(<keras.pre..., 37800, epochs=2, validation_data=<keras.pre..., validation_steps=4200)`
from ipykernel import kernelapp as app
Epoch 1/2
InternalError Traceback (most recent call last)
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in _do_call(self, fn, *args)
1038 try:
-> 1039 return fn(*args)
1040 except errors.OpError as e:
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1020 feed_dict, fetch_list, target_list,
-> 1021 status, run_metadata)
1022
C:Users
icolAnaconda3envs ensorflowlibcontextlib.py in __exit__(self, type, value, traceback)
65 try:
---> 66 next(self.gen)
67 except StopIteration:
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonframeworkerrors_impl.py in raise_exception_on_not_ok_status()
465 compat.as_text(pywrap_tensorflow.TF_Message(status)),
--> 466 pywrap_tensorflow.TF_GetCode(status))
467 finally:
InternalError: Blas GEMM launch failed : a.shape=(64, 784), b.shape=(784, 10), m=64, n=10, k=784
[[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](flatten_1/Reshape, dense_1/kernel/read)]]
During handling of the above exception, another exception occurred:
InternalError Traceback (most recent call last)
<ipython-input-13-2a52d1079a66> in <module>()
1 history=model.fit_generator(batches, batches.n, nb_epoch=2,
----> 2 validation_data=val_batches, nb_val_samples=val_batches.n)
C:Users
icolAnaconda3envs ensorflowlibsite-packageskeraslegacyinterfaces.py in wrapper(*args, **kwargs)
86 warnings.warn('Update your `' + object_name +
87 '` call to the Keras 2 API: ' + signature, stacklevel=2)
---> 88 return func(*args, **kwargs)
89 wrapper._legacy_support_signature = inspect.getargspec(func)
90 return wrapper
C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasmodels.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_q_size, workers, pickle_safe, initial_epoch)
1108 workers=workers,
1109 pickle_safe=pickle_safe,
-> 1110 initial_epoch=initial_epoch)
1111
1112 @interfaces.legacy_generator_methods_support
C:Users
icolAnaconda3envs ensorflowlibsite-packageskeraslegacyinterfaces.py in wrapper(*args, **kwargs)
86 warnings.warn('Update your `' + object_name +
87 '` call to the Keras 2 API: ' + signature, stacklevel=2)
---> 88 return func(*args, **kwargs)
89 wrapper._legacy_support_signature = inspect.getargspec(func)
90 return wrapper
C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasengine raining.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_q_size, workers, pickle_safe, initial_epoch)
1888 outs = self.train_on_batch(x, y,
1889 sample_weight=sample_weight,
-> 1890 class_weight=class_weight)
1891
1892 if not isinstance(outs, list):
C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasengine raining.py in train_on_batch(self, x, y, sample_weight, class_weight)
1631 ins = x + y + sample_weights
1632 self._make_train_function()
-> 1633 outputs = self.train_function(ins)
1634 if len(outputs) == 1:
1635 return outputs[0]
C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasackend ensorflow_backend.py in __call__(self, inputs)
2227 session = get_session()
2228 updated = session.run(self.outputs + [self.updates_op],
-> 2229 feed_dict=feed_dict)
2230 return updated[:len(self.outputs)]
2231
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in run(self, fetches, feed_dict, options, run_metadata)
776 try:
777 result = self._run(None, fetches, feed_dict, options_ptr,
--> 778 run_metadata_ptr)
779 if run_metadata:
780 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
980 if final_fetches or final_targets:
981 results = self._do_run(handle, final_targets, final_fetches,
--> 982 feed_dict_string, options, run_metadata)
983 else:
984 results = []
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1030 if handle is None:
1031 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1032 target_list, options, run_metadata)
1033 else:
1034 return self._do_call(_prun_fn, self._session, handle, feed_dict,
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in _do_call(self, fn, *args)
1050 except KeyError:
1051 pass
-> 1052 raise type(e)(node_def, op, message)
1053
1054 def _extend_graph(self):
InternalError: Blas GEMM launch failed : a.shape=(64, 784), b.shape=(784, 10), m=64, n=10, k=784
[[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](flatten_1/Reshape, dense_1/kernel/read)]]
Caused by op 'dense_1/MatMul', defined at:
File "C:Users
icolAnaconda3envs ensorflowlib
unpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "C:Users
icolAnaconda3envs ensorflowlib
unpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernel\__main__.py", line 3, in <module>
app.launch_new_instance()
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages raitletsconfigapplication.py", line 658, in launch_instance
app.start()
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelkernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageszmqeventloopioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ornadoioloop.py", line 888, in start
handler_func(fd_obj, events)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ornadostack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageszmqeventloopzmqstream.py", line 440, in _handle_events
self._handle_recv()
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageszmqeventloopzmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageszmqeventloopzmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ornadostack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelkernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelkernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelkernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelzmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesIPythoncoreinteractiveshell.py", line 2683, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesIPythoncoreinteractiveshell.py", line 2787, in run_ast_nodes
if self.run_code(code, result):
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesIPythoncoreinteractiveshell.py", line 2847, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-10-1e7a3b259f23>", line 4, in <module>
model.add(Dense(10, activation='softmax'))
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasmodels.py", line 466, in add
output_tensor = layer(self.outputs[0])
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasengine opology.py", line 585, in __call__
output = self.call(inputs, **kwargs)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageskeraslayerscore.py", line 840, in call
output = K.dot(inputs, self.kernel)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasackend ensorflow_backend.py", line 936, in dot
out = tf.matmul(x, y)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonopsmath_ops.py", line 1801, in matmul
a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonopsgen_math_ops.py", line 1263, in _mat_mul
transpose_b=transpose_b, name=name)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonframeworkop_def_library.py", line 768, in apply_op
op_def=op_def)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonframeworkops.py", line 2336, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonframeworkops.py", line 1228, in __init__
self._traceback = _extract_stack()
InternalError (see above for traceback): Blas GEMM launch failed : a.shape=(64, 784), b.shape=(784, 10), m=64, n=10, k=784
[[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](flatten_1/Reshape, dense_1/kernel/read)]]
当我尝试使用 CPU 将 TensorFlow 与 Keras 结合使用时，我收到此错误消息:
When I'm trying to use TensorFlow with Keras using the cpu, I'm getting this error message:
C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernel\__main__.py:5: UserWarning: Update your `fit_generator` call to the Keras 2 API: `fit_generator(<keras.pre..., 37800, validation_steps=4200, validation_data=<keras.pre..., epochs=2)`
Epoch 1/2
---------------------------------------------------------------------------
InternalError Traceback (most recent call last)
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in _do_call(self, fn, *args)
1038 try:
-> 1039 return fn(*args)
1040 except errors.OpError as e:
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata)
1020 feed_dict, fetch_list, target_list,
-> 1021 status, run_metadata)
1022
C:Users
icolAnaconda3envs ensorflowlibcontextlib.py in __exit__(self, type, value, traceback)
65 try:
---> 66 next(self.gen)
67 except StopIteration:
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonframeworkerrors_impl.py in raise_exception_on_not_ok_status()
465 compat.as_text(pywrap_tensorflow.TF_Message(status)),
--> 466 pywrap_tensorflow.TF_GetCode(status))
467 finally:
InternalError: Blas GEMM launch failed : a.shape=(64, 784), b.shape=(784, 10), m=64, n=10, k=784
[[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](flatten_1/Reshape, dense_1/kernel/read)]]
[[Node: Assign_3/_84 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_374_Assign_3", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
During handling of the above exception, another exception occurred:
InternalError Traceback (most recent call last)
<ipython-input-14-f66b4d3d5b88> in <module>()
3 with tf.device('/cpu:0'):
4 history=model.fit_generator(batches, batches.n, nb_epoch=2,
----> 5 validation_data=val_batches, nb_val_samples=val_batches.n)
C:Users
icolAnaconda3envs ensorflowlibsite-packageskeraslegacyinterfaces.py in wrapper(*args, **kwargs)
86 warnings.warn('Update your `' + object_name +
87 '` call to the Keras 2 API: ' + signature, stacklevel=2)
---> 88 return func(*args, **kwargs)
89 wrapper._legacy_support_signature = inspect.getargspec(func)
90 return wrapper
C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasmodels.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_q_size, workers, pickle_safe, initial_epoch)
1108 workers=workers,
1109 pickle_safe=pickle_safe,
-> 1110 initial_epoch=initial_epoch)
1111
1112 @interfaces.legacy_generator_methods_support
C:Users
icolAnaconda3envs ensorflowlibsite-packageskeraslegacyinterfaces.py in wrapper(*args, **kwargs)
86 warnings.warn('Update your `' + object_name +
87 '` call to the Keras 2 API: ' + signature, stacklevel=2)
---> 88 return func(*args, **kwargs)
89 wrapper._legacy_support_signature = inspect.getargspec(func)
90 return wrapper
C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasengine raining.py in fit_generator(self, generator, steps_per_epoch, epochs, verbose, callbacks, validation_data, validation_steps, class_weight, max_q_size, workers, pickle_safe, initial_epoch)
1888 outs = self.train_on_batch(x, y,
1889 sample_weight=sample_weight,
-> 1890 class_weight=class_weight)
1891
1892 if not isinstance(outs, list):
C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasengine raining.py in train_on_batch(self, x, y, sample_weight, class_weight)
1631 ins = x + y + sample_weights
1632 self._make_train_function()
-> 1633 outputs = self.train_function(ins)
1634 if len(outputs) == 1:
1635 return outputs[0]
C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasackend ensorflow_backend.py in __call__(self, inputs)
2227 session = get_session()
2228 updated = session.run(self.outputs + [self.updates_op],
-> 2229 feed_dict=feed_dict)
2230 return updated[:len(self.outputs)]
2231
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in run(self, fetches, feed_dict, options, run_metadata)
776 try:
777 result = self._run(None, fetches, feed_dict, options_ptr,
--> 778 run_metadata_ptr)
779 if run_metadata:
780 proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in _run(self, handle, fetches, feed_dict, options, run_metadata)
980 if final_fetches or final_targets:
981 results = self._do_run(handle, final_targets, final_fetches,
--> 982 feed_dict_string, options, run_metadata)
983 else:
984 results = []
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)
1030 if handle is None:
1031 return self._do_call(_run_fn, self._session, feed_dict, fetch_list,
-> 1032 target_list, options, run_metadata)
1033 else:
1034 return self._do_call(_prun_fn, self._session, handle, feed_dict,
C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonclientsession.py in _do_call(self, fn, *args)
1050 except KeyError:
1051 pass
-> 1052 raise type(e)(node_def, op, message)
1053
1054 def _extend_graph(self):
InternalError: Blas GEMM launch failed : a.shape=(64, 784), b.shape=(784, 10), m=64, n=10, k=784
[[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](flatten_1/Reshape, dense_1/kernel/read)]]
[[Node: Assign_3/_84 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_374_Assign_3", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Caused by op 'dense_1/MatMul', defined at:
File "C:Users
icolAnaconda3envs ensorflowlib
unpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "C:Users
icolAnaconda3envs ensorflowlib
unpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernel\__main__.py", line 3, in <module>
app.launch_new_instance()
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages raitletsconfigapplication.py", line 658, in launch_instance
app.start()
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelkernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageszmqeventloopioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ornadoioloop.py", line 888, in start
handler_func(fd_obj, events)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ornadostack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageszmqeventloopzmqstream.py", line 440, in _handle_events
self._handle_recv()
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageszmqeventloopzmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageszmqeventloopzmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ornadostack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelkernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelkernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelkernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesipykernelzmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesIPythoncoreinteractiveshell.py", line 2683, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesIPythoncoreinteractiveshell.py", line 2787, in run_ast_nodes
if self.run_code(code, result):
File "C:Users
icolAnaconda3envs ensorflowlibsite-packagesIPythoncoreinteractiveshell.py", line 2847, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-12-1e7a3b259f23>", line 4, in <module>
model.add(Dense(10, activation='softmax'))
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasmodels.py", line 466, in add
output_tensor = layer(self.outputs[0])
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasengine opology.py", line 585, in __call__
output = self.call(inputs, **kwargs)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageskeraslayerscore.py", line 840, in call
output = K.dot(inputs, self.kernel)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packageskerasackend ensorflow_backend.py", line 936, in dot
out = tf.matmul(x, y)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonopsmath_ops.py", line 1801, in matmul
a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonopsgen_math_ops.py", line 1263, in _mat_mul
transpose_b=transpose_b, name=name)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonframeworkop_def_library.py", line 768, in apply_op
op_def=op_def)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonframeworkops.py", line 2336, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:Users
icolAnaconda3envs ensorflowlibsite-packages ensorflowpythonframeworkops.py", line 1228, in __init__
self._traceback = _extract_stack()
InternalError (see above for traceback): Blas GEMM launch failed : a.shape=(64, 784), b.shape=(784, 10), m=64, n=10, k=784
[[Node: dense_1/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](flatten_1/Reshape, dense_1/kernel/read)]]
[[Node: Assign_3/_84 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_374_Assign_3", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
在这两种情况下，错误都与InternalError(见上文回溯):Blas GEMM 启动失败你能告诉我如何让 Blas GEMM 启动吗?我在 3.5 python anaconda 环境中安装了 tensorflow 和 keras，我还安装了所有需要的模块(numpy、pandas、scipy、scikit-learn).我有一个带有可以使用 CUDA 的 NVIDIA GPU 的 Windows 10.我下载了 CUDA 和 cuDNN.我在 Chrome 上使用 Jupyter 笔记本.
In both cases, the error is with InternalError (see above for traceback): Blas GEMM launch failed Can you tell me how to get Blas GEMM to launch? I installed tensorflow and keras in a 3.5 python anaconda environment where I also installed all needed module (numpy, pandas, scipy, scikit-learn). I have a Windows 10 with a NVIDIA gpu that can use CUDA. I downloaded CUDA and cuDNN. I'm using the Jupyter notebook on Chrome.
有时当我运行我的代码时，不是出现这个错误，而是它开始运行然后崩溃.崩溃后，我无法在我的 jupyter 笔记本上做任何事情，一段时间后，一个弹出窗口询问我是否要终止该页面.这是我在崩溃后得到的图像.!(http://www.hostingpics.net/viewer.php?id=647186tensorflowError.png)
Sometimes when I run my code, rather than having this error, I get that it starts running and then it crashes. After the crash, I can't do anything on my jupyter notebook and after some time a pop-up asks me if I want to kill the page. This is an image of what I got after the crash. !(http://www.hostingpics.net/viewer.php?id=647186tensorflowError.png)
附言我知道我的问题与这个问题类似:Tensorflow 基本示例错误:CUBLAS_STATUS_NOT_INITIALIZED但它并没有在那里得到解决，我不确定这个问题是否足够清楚，或者与我遇到的问题完全相同，所以我将它与我自己的错误消息一起发布.这个问题不同于:TensorFlow:内部错误:Blas SGEMM 启动失败因为我的问题是 GEMM 而不是 SGEMM，而且我的问题是 gpu 和 cpu 的问题，并且没有通过这个问题的答案解决.
P.S. I know my problem is similar as in this question: Tensorflow Basic Example Error: CUBLAS_STATUS_NOT_INITIALIZED but it has not been solved there and I'm not sure this question is clear enough or is exactly the same problem as I have so I'm posting it with my own error message. This problem is different of: TensorFlow: InternalError: Blas SGEMM launch failed Since I have a problem with GEMM rather than SGEMM and that my problem is both with gpu and cpu and it is not solved by the answer of this question.
推荐答案
这在 TensorFlow 2.1.0 上对我有用(每个:https://www.tensorflow.org/api_docs/python/tf/config/experimental/set_memory_growth)
This worked for me on TensorFlow 2.1.0 (per: https://www.tensorflow.org/api_docs/python/tf/config/experimental/set_memory_growth)
import tensorflow as tf
physical_devices = tf.config.list_physical_devices('GPU')
for device in physical_devices:
tf.config.experimental.set_memory_growth(device, True)
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