TensorFlow: InternalError: Blas SGEMM launch failed

Question

When I run sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys}) I get InternalError: Blas SGEMM launch failed. Here is the full error and stack trace:

InternalErrorTraceback (most recent call last) <ipython-input-9-a3261a02bdce> in <module>()       1 batch_xs, batch_ys = mnist.train.next_batch(100) ----> 2 sess.run(train_step, feed_dict={x: batch_xs, y_: batch_ys})  /usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in run(self, fetches, feed_dict, options, run_metadata)     338     try:     339       result = self._run(None, fetches, feed_dict, options_ptr, --> 340                          run_metadata_ptr)     341       if run_metadata:     342         proto_data = tf_session.TF_GetBuffer(run_metadata_ptr)  /usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _run(self, handle, fetches, feed_dict, options, run_metadata)     562     try:     563       results = self._do_run(handle, target_list, unique_fetches, --> 564                              feed_dict_string, options, run_metadata)     565     finally:     566       # The movers are no longer used. Delete them.  /usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata)     635     if handle is None:     636       return self._do_call(_run_fn, self._session, feed_dict, fetch_list, --> 637                            target_list, options, run_metadata)     638     else:     639       return self._do_call(_prun_fn, self._session, handle, feed_dict,  /usr/local/lib/python2.7/dist-packages/tensorflow/python/client/session.pyc in _do_call(self, fn, *args)     657       # pylint: disable=protected-access     658       raise errors._make_specific_exception(node_def, op, error_message, --> 659                                             e.code)     660       # pylint: enable=protected-access     661   InternalError: Blas SGEMM launch failed : a.shape=(100, 784), b.shape=(784, 10), m=100, n=10, k=784      [[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](_recv_Placeholder_0/_4, Variable/read)]] Caused by op u'MatMul', defined at:   File "/usr/lib/python2.7/runpy.py", line 162, in _run_module_as_main     "__main__", fname, loader, pkg_name)   File "/usr/lib/python2.7/runpy.py", line 72, in _run_code     exec code in run_globals   File "/usr/local/lib/python2.7/dist-packages/ipykernel/__main__.py", line 3, in <module>     app.launch_new_instance()   File "/usr/local/lib/python2.7/dist-packages/traitlets/config/application.py", line 596, in launch_instance     app.start()   File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelapp.py", line 442, in start     ioloop.IOLoop.instance().start()   File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/ioloop.py", line 162, in start     super(ZMQIOLoop, self).start()   File "/usr/local/lib/python2.7/dist-packages/tornado/ioloop.py", line 883, in start     handler_func(fd_obj, events)   File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py", line 275, in null_wrapper     return fn(*args, **kwargs)   File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 440, in _handle_events     self._handle_recv()   File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 472, in _handle_recv     self._run_callback(callback, msg)   File "/usr/local/lib/python2.7/dist-packages/zmq/eventloop/zmqstream.py", line 414, in _run_callback     callback(*args, **kwargs)   File "/usr/local/lib/python2.7/dist-packages/tornado/stack_context.py", line 275, in null_wrapper     return fn(*args, **kwargs)   File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 276, in dispatcher     return self.dispatch_shell(stream, msg)   File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 228, in dispatch_shell     handler(stream, idents, msg)   File "/usr/local/lib/python2.7/dist-packages/ipykernel/kernelbase.py", line 391, in execute_request     user_expressions, allow_stdin)   File "/usr/local/lib/python2.7/dist-packages/ipykernel/ipkernel.py", line 199, in do_execute     shell.run_cell(code, store_history=store_history, silent=silent)   File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2723, in run_cell     interactivity=interactivity, compiler=compiler, result=result)   File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2825, in run_ast_nodes     if self.run_code(code, result):   File "/usr/local/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 2885, in run_code     exec(code_obj, self.user_global_ns, self.user_ns)   File "<ipython-input-4-d7414c4b6213>", line 4, in <module>     y = tf.nn.softmax(tf.matmul(x, W) + b)   File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/math_ops.py", line 1036, in matmul     name=name)   File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/gen_math_ops.py", line 911, in _mat_mul     transpose_b=transpose_b, name=name)   File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/ops/op_def_library.py", line 655, in apply_op     op_def=op_def)   File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 2154, in create_op     original_op=self._default_original_op, op_def=op_def)   File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework/ops.py", line 1154, in __init__     self._traceback = _extract_stack() 

Stack: EC2 g2.8xlarge machine, Ubuntu 14.04

Answer 1

Old question, but may help others.
Try to close interactive sessions active in other processes (if IPython Notebook - just restart kernels). This helped me!

Additionally, I use this code to close local sessions in this kernel during experiments:

if 'session' in locals() and session is not None:     print('Close interactive session')     session.close()