I am using TF 1.1 with GPU on Windows 10, When i try to run below code in Ch10 to use tf.learn, i get an error as described below:
INFO:tensorflow:Create CheckpointSaverHook.
---------------------------------------------------------------------------
InternalError Traceback (most recent call last)
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args)
1038 try:
-> 1039 return fn(*args)
1040 except errors.OpError as e:
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.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:\ProgramData\Anaconda2\envs\tensorflow\lib\contextlib.py in __exit__(self, type, value, traceback)
65 try:
---> 66 next(self.gen)
67 except StopIteration:
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\framework\errors_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=(50, 784), b.shape=(784, 300), m=50, n=300, k=784
[[Node: dnn/hiddenlayer_0/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](dnn/input_from_feature_columns/input_from_feature_columns/concat, dnn/hiddenlayer_0/weights)]]
During handling of the above exception, another exception occurred:
InternalError Traceback (most recent call last)
<ipython-input-3-dc76eaab997d> in <module>()
7 feature_columns=feature_cols, config=config)
8 dnn_clf = tf.contrib.learn.SKCompat(dnn_clf) # if TensorFlow >= 1.1
----> 9 dnn_clf.fit(X_train, y_train, batch_size=50, steps=40000)
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py in fit(self, x, y, batch_size, steps, max_steps, monitors)
1315 steps=steps,
1316 max_steps=max_steps,
-> 1317 monitors=all_monitors)
1318 return self
1319
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\util\deprecation.py in new_func(*args, **kwargs)
279 _call_location(), decorator_utils.get_qualified_name(func),
280 func.__module__, arg_name, date, instructions)
--> 281 return func(*args, **kwargs)
282 new_func.__doc__ = _add_deprecated_arg_notice_to_docstring(
283 func.__doc__, date, instructions)
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py in fit(self, x, y, input_fn, steps, batch_size, monitors, max_steps)
428 hooks.append(basic_session_run_hooks.StopAtStepHook(steps, max_steps))
429
--> 430 loss = self._train_model(input_fn=input_fn, hooks=hooks)
431 logging.info('Loss for final step: %s.', loss)
432 return self
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py in _train_model(self, input_fn, hooks)
976 loss = None
977 while not mon_sess.should_stop():
--> 978 _, loss = mon_sess.run([model_fn_ops.train_op, model_fn_ops.loss])
979 summary_io.SummaryWriterCache.clear()
980 return loss
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\training\monitored_session.py in run(self, fetches, feed_dict, options, run_metadata)
482 feed_dict=feed_dict,
483 options=options,
--> 484 run_metadata=run_metadata)
485
486 def should_stop(self):
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\training\monitored_session.py in run(self, fetches, feed_dict, options, run_metadata)
818 feed_dict=feed_dict,
819 options=options,
--> 820 run_metadata=run_metadata)
821 except _PREEMPTION_ERRORS as e:
822 logging.info('An error was raised. This may be due to a preemption in '
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\training\monitored_session.py in run(self, *args, **kwargs)
774
775 def run(self, *args, **kwargs):
--> 776 return self._sess.run(*args, **kwargs)
777
778
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\training\monitored_session.py in run(self, fetches, feed_dict, options, run_metadata)
928 feed_dict=feed_dict,
929 options=options,
--> 930 run_metadata=run_metadata)
931
932 for hook in self._hooks:
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\training\monitored_session.py in run(self, *args, **kwargs)
774
775 def run(self, *args, **kwargs):
--> 776 return self._sess.run(*args, **kwargs)
777
778
C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.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:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.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:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.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:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\client\session.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=(50, 784), b.shape=(784, 300), m=50, n=300, k=784
[[Node: dnn/hiddenlayer_0/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](dnn/input_from_feature_columns/input_from_feature_columns/concat, dnn/hiddenlayer_0/weights)]]
Caused by op 'dnn/hiddenlayer_0/MatMul', defined at:
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\ipykernel_launcher.py", line 16, in <module>
app.launch_new_instance()
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance
app.start()
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\ipykernel\kernelapp.py", line 477, in start
ioloop.IOLoop.instance().start()
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start
super(ZMQIOLoop, self).start()
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tornado\ioloop.py", line 888, in start
handler_func(fd_obj, events)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events
self._handle_recv()
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv
self._run_callback(callback, msg)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback
callback(*args, **kwargs)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tornado\stack_context.py", line 277, in null_wrapper
return fn(*args, **kwargs)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 283, in dispatcher
return self.dispatch_shell(stream, msg)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 235, in dispatch_shell
handler(stream, idents, msg)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\ipykernel\kernelbase.py", line 399, in execute_request
user_expressions, allow_stdin)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute
res = shell.run_cell(code, store_history=store_history, silent=silent)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\ipykernel\zmqshell.py", line 533, in run_cell
return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell
interactivity=interactivity, compiler=compiler, result=result)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2827, in run_ast_nodes
if self.run_code(code, result):
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
File "<ipython-input-3-dc76eaab997d>", line 9, in <module>
dnn_clf.fit(X_train, y_train, batch_size=50, steps=40000)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 1317, in fit
monitors=all_monitors)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\util\deprecation.py", line 281, in new_func
return func(*args, **kwargs)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 430, in fit
loss = self._train_model(input_fn=input_fn, hooks=hooks)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 927, in _train_model
model_fn_ops = self._get_train_ops(features, labels)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 1132, in _get_train_ops
return self._call_model_fn(features, labels, model_fn_lib.ModeKeys.TRAIN)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\estimator.py", line 1103, in _call_model_fn
model_fn_results = self._model_fn(features, labels, **kwargs)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\learn\python\learn\estimators\dnn.py", line 143, in _dnn_model_fn
scope=hidden_layer_scope)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\framework\python\ops\arg_scope.py", line 181, in func_with_args
return func(*args, **current_args)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\contrib\layers\python\layers\layers.py", line 1433, in fully_connected
outputs = layer.apply(inputs)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\layers\base.py", line 320, in apply
return self.__call__(inputs, **kwargs)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\layers\base.py", line 290, in __call__
outputs = self.call(inputs, **kwargs)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\layers\core.py", line 144, in call
outputs = standard_ops.matmul(inputs, self.kernel)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\ops\math_ops.py", line 1801, in matmul
a, b, transpose_a=transpose_a, transpose_b=transpose_b, name=name)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 1263, in _mat_mul
transpose_b=transpose_b, name=name)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 768, in apply_op
op_def=op_def)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py", line 2336, in create_op
original_op=self._default_original_op, op_def=op_def)
File "C:\ProgramData\Anaconda2\envs\tensorflow\lib\site-packages\tensorflow\python\framework\ops.py", line 1228, in __init__
self._traceback = _extract_stack()
InternalError (see above for traceback): Blas GEMM launch failed : a.shape=(50, 784), b.shape=(784, 300), m=50, n=300, k=784
[[Node: dnn/hiddenlayer_0/MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](dnn/input_from_feature_columns/input_from_feature_columns/concat, dnn/hiddenlayer_0/weights)]]