|
|
|
|
|
|
|
|
|
|
| import unittest |
| import hypothesis.strategies as st |
| from hypothesis import given |
| import numpy as np |
| from caffe2.python import core, workspace |
| import caffe2.python.hypothesis_test_util as hu |
| import caffe2.python.mkl_test_util as mu |
| import caffe2.proto.caffe2_pb2 as pb2 |
|
|
| @unittest.skipIf(not workspace.C.has_mkldnn, |
| "Skipping as we do not have mkldnn.") |
| class MKCopyTest(hu.HypothesisTestCase): |
| @given(width=st.integers(7, 9), |
| height=st.integers(7, 9), |
| input_channels=st.integers(1, 3), |
| batch_size=st.integers(1, 3), |
| **mu.gcs) |
| def test_mkl_copy(self, |
| width, |
| height, |
| input_channels, |
| batch_size, |
| gc, dc): |
| X = np.random.rand( |
| batch_size, input_channels, width, height).astype(np.float32) |
| self.ws.create_blob("X").feed(X, pb2.DeviceOption()) |
| self.ws.run(core.CreateOperator( |
| "CopyCPUToMKL", |
| ["X"], |
| ["X_MKL"], |
| device_option=pb2.DeviceOption(device_type=pb2.MKLDNN) |
| )) |
| self.ws.run(core.CreateOperator( |
| "CopyMKLToCPU", |
| ["X_MKL"], |
| ["X_copy"], |
| device_option=pb2.DeviceOption(device_type=pb2.MKLDNN) |
| )) |
| np.testing.assert_array_equal(X, self.ws.blobs["X_copy"].fetch()) |
|
|
| @given(n=st.sampled_from([0, 10])) |
| def test_mkl_zero_copy(self, n): |
| shape = (0, n) |
| X = np.zeros(shape=shape).astype(np.float32) |
| self.ws.create_blob("X").feed(X, pb2.DeviceOption()) |
| self.ws.run(core.CreateOperator( |
| "CopyCPUToMKL", |
| ["X"], |
| ["X_MKL"], |
| device_option=pb2.DeviceOption(device_type=pb2.MKLDNN) |
| )) |
| self.ws.run(core.CreateOperator( |
| "CopyMKLToCPU", |
| ["X_MKL"], |
| ["X_copy"], |
| device_option=pb2.DeviceOption(device_type=pb2.MKLDNN) |
| )) |
| np.testing.assert_equal(shape, self.ws.blobs["X_copy"].fetch().shape) |
|
|
|
|
| if __name__ == "__main__": |
| import unittest |
| unittest.main() |
|
|
