chrishkchris commented on a change in pull request #587: SINGA-504 Add Gemm
operator for autograd and onnx
URL: https://github.com/apache/singa/pull/587#discussion_r373334627
##########
File path: test/python/test_operation.py
##########
@@ -2745,5 +2745,58 @@ def test_prelu_broadcast_cpu(self):
np.testing.assert_array_almost_equal(tensor.to_numpy(tensor.from_raw_tensor(dx0)),
grad0, decimal=5)
np.testing.assert_array_almost_equal(tensor.to_numpy(tensor.from_raw_tensor(dx1)),
grad1, decimal=5)
+ def test_gemm(self):
+ devs = [cpu_dev, gpu_dev]
Review comment:
> what if the machine does not have gpu?
Yes, that's true.
Last time I run the test_operation.py with the code built using USE_CUDA=0
(in the master branch), the test_operation.py cannot run before removing the
gpu_dev related things.
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