InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Gemm' with these attrs. Registered devices: [CPU], Registered kernels: device='GPU'; T in [DT_FLOAT]

[iamweiweishi]

I followed your instructions and the 'make' is correctly done.
But when I run 'python test_gemm_op.py', I got the errors,

`/usr/local/lib/python3.6/dist-packages/numpy/lib/type_check.py:546: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead
'a.item() instead', DeprecationWarning, stacklevel=1)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/tensor_util.py:499: DeprecationWarning: The binary mode of fromstring is deprecated, as it behaves surprisingly on unicode inputs. Use frombuffer instead
return np.fromstring(tensor.tensor_content, dtype=dtype).reshape(shape)
Result for xnor_gemm()

E.

ERROR: testGemm (main.GemmTest)

Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1139, in _do_call
return fn(*args)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1117, in _run_fn
self._extend_graph()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1166, in _extend_graph
self._session, graph_def.SerializeToString(), status)
File "/usr/lib/python3.6/contextlib.py", line 88, in exit
next(self.gen)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'Gemm' with these attrs. Registered devices: [CPU], Registered kernels:
device='GPU'; T in [DT_FLOAT]

     [[Node: Gemm = Gemm[T=DT_FLOAT, _device="/device:CPU:0"](Sign, Sign_1)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "test_gemm_op.py", line 19, in testGemm
print(xnor_result.eval())
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 606, in eval
return _eval_using_default_session(self, feed_dict, self.graph, session)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 3928, in _eval_using_default_session
return session.run(tensors, feed_dict)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 789, in run
run_metadata_ptr)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 997, in _run
feed_dict_string, options, run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1132, in _do_run
target_list, options, run_metadata)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/client/session.py", line 1152, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.InvalidArgumentError: No OpKernel was registered to support Op 'Gemm' with these attrs. Registered devices: [CPU], Registered kernels:
device='GPU'; T in [DT_FLOAT]

     [[Node: Gemm = Gemm[T=DT_FLOAT, _device="/device:CPU:0"](Sign, Sign_1)]]

Caused by op 'Gemm', defined at:
File "test_gemm_op.py", line 26, in
tf.test.main()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/test.py", line 70, in main
return _googletest.main(argv)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/googletest.py", line 99, in main
benchmark.benchmarks_main(true_main=main_wrapper)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/benchmark.py", line 340, in benchmarks_main
true_main()
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/googletest.py", line 98, in main_wrapper
return app.run(main=g_main, argv=args)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/app.py", line 48, in run
_sys.exit(main(_sys.argv[:1] + flags_passthrough))
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/platform/googletest.py", line 69, in g_main
return unittest_main(argv=argv)
File "/usr/lib/python3.6/unittest/main.py", line 95, in init
self.runTests()
File "/usr/lib/python3.6/unittest/main.py", line 256, in runTests
self.result = testRunner.run(self.test)
File "/usr/lib/python3.6/unittest/runner.py", line 176, in run
test(result)
File "/usr/lib/python3.6/unittest/suite.py", line 84, in call
return self.run(*args, **kwds)
File "/usr/lib/python3.6/unittest/suite.py", line 122, in run
test(result)
File "/usr/lib/python3.6/unittest/suite.py", line 84, in call
return self.run(*args, **kwds)
File "/usr/lib/python3.6/unittest/suite.py", line 122, in run
test(result)
File "/usr/lib/python3.6/unittest/case.py", line 653, in call
return self.run(*args, **kwds)
File "/usr/lib/python3.6/unittest/case.py", line 605, in run
testMethod()
File "test_gemm_op.py", line 15, in testGemm
xnor_result = xnor_gemm(a, b)
File "", line 30, in gemm
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op
op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 2506, in create_op
original_op=self._default_original_op, op_def=op_def)
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/ops.py", line 1269, in init
self._traceback = _extract_stack()

InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Gemm' with these attrs. Registered devices: [CPU], Registered kernels:
device='GPU'; T in [DT_FLOAT]

     [[Node: Gemm = Gemm[T=DT_FLOAT, _device="/device:CPU:0"](Sign, Sign_1)]]

---

Ran 2 tests in 0.177s

FAILED (errors=1)

Could you pls give me some tips on this?
Many thanks.