FM / ideep

/usr/local/lib64/python3.6/site-packages/caffe2/python/ideep/

/usr/local/lib64/python3.6/site-packages/caffe2/python/ideep

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
adam_op_test.py	3212	0644	edit dl rm
blobs_queue_db_test.py	4045	0644	edit dl rm
channel_shuffle_op_test.py	1286	0644	edit dl rm
concat_split_op_test.py	5532	0644	edit dl rm
convfusion_op_test.py	31919	0644	edit dl rm
conv_op_test.py	5666	0644	edit dl rm
conv_transpose_test.py	2595	0644	edit dl rm
copy_op_test.py	3074	0644	edit dl rm
dropout_op_test.py	2075	0644	edit dl rm
elementwise_sum_op_test.py	6317	0644	edit dl rm
expanddims_squeeze_op_test.py	4285	0644	edit dl rm
fc_op_test.py	11745	0644	edit dl rm
leaky_relu_op_test.py	2854	0644	edit dl rm
LRN_op_test.py	1195	0644	edit dl rm
moment_sgd_op_test.py	1777	0644	edit dl rm
operator_fallback_op_test.py	3450	0644	edit dl rm
order_switch_op_test.py	2299	0644	edit dl rm
pool_op_test.py	4296	0644	edit dl rm
pre_convert_test.py	4115	0644	edit dl rm
relu_op_test.py	3705	0644	edit dl rm
reshape_op_test.py	5919	0644	edit dl rm
shape_op_test.py	2631	0644	edit dl rm
sigmoid_op_test.py	775	0644	edit dl rm
softmax_op_test.py	932	0644	edit dl rm
spatial_bn_op_test.py	5237	0644	edit dl rm
test_ideep_net.py	4094	0644	edit dl rm
transform_ideep_net.py	11683	0644	edit dl rm
transpose_op_test.py	1284	0644	edit dl rm
weightedsum_op_test.py	1560	0644	edit dl rm
__init__.py	0	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/caffe2/python/ideep/expanddims_squeeze_op_test.py (4285B)

@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
class ExpandDimsSqueezeTest(hu.HypothesisTestCase):
    @given(
        squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3),
        inplace=st.booleans(),
        **mu.gcs
        )
    def test_squeeze(self, squeeze_dims, inplace, gc, dc):
        shape = [
            1 if dim in squeeze_dims else np.random.randint(1, 5)
            for dim in range(4)
        ]
        X = np.random.rand(*shape).astype(np.float32)
        op = core.CreateOperator(
            "Squeeze", "X", "X" if inplace else "Y", dims=squeeze_dims
        )
        self.assertDeviceChecks(dc, op, [X], [0])

@given(
        squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3),
        inplace=st.booleans(),
        **mu.gcs_cpu_ideep
        )
    def test_squeeze_fallback(self, squeeze_dims, inplace, gc, dc):
        shape = [
            1 if dim in squeeze_dims else np.random.randint(1, 5)
            for dim in range(4)
        ]
        X = np.random.rand(*shape).astype(np.float32)
        op0 = core.CreateOperator(
            "Squeeze",
            "X0",
            "X0" if inplace else "Y0",
            dims=squeeze_dims,
            device_option=dc[0]
        )
        workspace.FeedBlob('X0', X, dc[0])
        workspace.RunOperatorOnce(op0)
        Y0 = workspace.FetchBlob("X0" if inplace else "Y0")

op1 = core.CreateOperator(
            "Squeeze",
            "X1",
            "X1" if inplace else "Y1",
            dims=squeeze_dims,
            device_option=dc[1]
        )
        workspace.FeedBlob('X1', X, dc[0])
        workspace.RunOperatorOnce(op1)
        Y1 = workspace.FetchBlob("X1" if inplace else "Y1")

if not np.allclose(Y0, Y1, atol=0.01, rtol=0.01):
            print(Y1.flatten())
            print(Y0.flatten())
            print(np.max(np.abs(Y1 - Y0)))
            self.assertTrue(False)

@given(
        squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3),
        inplace=st.booleans(),
        **mu.gcs
        )
    def test_expand_dims(self, squeeze_dims, inplace, gc, dc):
        oshape = [
            1 if dim in squeeze_dims else np.random.randint(2, 5)
            for dim in range(4)
        ]
        nshape = [s for s in oshape if s!=1]
        expand_dims = [i for i in range(len(oshape)) if oshape[i]==1]

X = np.random.rand(*nshape).astype(np.float32)
        op = core.CreateOperator(
            "ExpandDims", "X", "X" if inplace else "Y", dims=expand_dims
        )
        self.assertDeviceChecks(dc, op, [X], [0])

@given(
        squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3),
        inplace=st.booleans(),
        **mu.gcs_cpu_ideep
        )
    def test_expand_dims_fallback(self, squeeze_dims, inplace, gc, dc):
        oshape = [
            1 if dim in squeeze_dims else np.random.randint(2, 5)
            for dim in range(4)
        ]
        nshape = [s for s in oshape if s!=1]
        expand_dims = [i for i in range(len(oshape)) if oshape[i]==1]

X = np.random.rand(*nshape).astype(np.float32)
        op0 = core.CreateOperator(
            "ExpandDims",
            "X0",
            "X0" if inplace else "Y0",
            dims=expand_dims,
            device_option=dc[0]
        )
        workspace.FeedBlob('X0', X, dc[0])
        workspace.RunOperatorOnce(op0)
        Y0 = workspace.FetchBlob("X0" if inplace else "Y0")

op1 = core.CreateOperator(
            "ExpandDims",
            "X1",
            "X1" if inplace else "Y1",
            dims=expand_dims,
            device_option=dc[1]
        )
        workspace.FeedBlob('X1', X, dc[0])
        workspace.RunOperatorOnce(op1)
        Y1 = workspace.FetchBlob("X1" if inplace else "Y1")

if not np.allclose(Y0, Y1, atol=0.01, rtol=0.01):
            print(Y1.flatten())
            print(Y0.flatten())
            print(np.max(np.abs(Y1 - Y0)))
            self.assertTrue(False)

if __name__ == "__main__":
    unittest.main()

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.ideep_test_util as mu @unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.") class ExpandDimsSqueezeTest(hu.HypothesisTestCase): @given( squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3), inplace=st.booleans(), **mu.gcs ) def test_squeeze(self, squeeze_dims, inplace, gc, dc): shape = [ 1 if dim in squeeze_dims else np.random.randint(1, 5) for dim in range(4) ] X = np.random.rand(*shape).astype(np.float32) op = core.CreateOperator( "Squeeze", "X", "X" if inplace else "Y", dims=squeeze_dims ) self.assertDeviceChecks(dc, op, [X], [0]) @given( squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3), inplace=st.booleans(), **mu.gcs_cpu_ideep ) def test_squeeze_fallback(self, squeeze_dims, inplace, gc, dc): shape = [ 1 if dim in squeeze_dims else np.random.randint(1, 5) for dim in range(4) ] X = np.random.rand(*shape).astype(np.float32) op0 = core.CreateOperator( "Squeeze", "X0", "X0" if inplace else "Y0", dims=squeeze_dims, device_option=dc[0] ) workspace.FeedBlob('X0', X, dc[0]) workspace.RunOperatorOnce(op0) Y0 = workspace.FetchBlob("X0" if inplace else "Y0") op1 = core.CreateOperator( "Squeeze", "X1", "X1" if inplace else "Y1", dims=squeeze_dims, device_option=dc[1] ) workspace.FeedBlob('X1', X, dc[0]) workspace.RunOperatorOnce(op1) Y1 = workspace.FetchBlob("X1" if inplace else "Y1") if not np.allclose(Y0, Y1, atol=0.01, rtol=0.01): print(Y1.flatten()) print(Y0.flatten()) print(np.max(np.abs(Y1 - Y0))) self.assertTrue(False) @given( squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3), inplace=st.booleans(), **mu.gcs ) def test_expand_dims(self, squeeze_dims, inplace, gc, dc): oshape = [ 1 if dim in squeeze_dims else np.random.randint(2, 5) for dim in range(4) ] nshape = [s for s in oshape if s!=1] expand_dims = [i for i in range(len(oshape)) if oshape[i]==1] X = np.random.rand(*nshape).astype(np.float32) op = core.CreateOperator( "ExpandDims", "X", "X" if inplace else "Y", dims=expand_dims ) self.assertDeviceChecks(dc, op, [X], [0]) @given( squeeze_dims=st.lists(st.integers(0, 3), min_size=1, max_size=3), inplace=st.booleans(), **mu.gcs_cpu_ideep ) def test_expand_dims_fallback(self, squeeze_dims, inplace, gc, dc): oshape = [ 1 if dim in squeeze_dims else np.random.randint(2, 5) for dim in range(4) ] nshape = [s for s in oshape if s!=1] expand_dims = [i for i in range(len(oshape)) if oshape[i]==1] X = np.random.rand(*nshape).astype(np.float32) op0 = core.CreateOperator( "ExpandDims", "X0", "X0" if inplace else "Y0", dims=expand_dims, device_option=dc[0] ) workspace.FeedBlob('X0', X, dc[0]) workspace.RunOperatorOnce(op0) Y0 = workspace.FetchBlob("X0" if inplace else "Y0") op1 = core.CreateOperator( "ExpandDims", "X1", "X1" if inplace else "Y1", dims=expand_dims, device_option=dc[1] ) workspace.FeedBlob('X1', X, dc[0]) workspace.RunOperatorOnce(op1) Y1 = workspace.FetchBlob("X1" if inplace else "Y1") if not np.allclose(Y0, Y1, atol=0.01, rtol=0.01): print(Y1.flatten()) print(Y0.flatten()) print(np.max(np.abs(Y1 - Y0))) self.assertTrue(False) if __name__ == "__main__": unittest.main()