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/copy_op_test.py (3074B)

import unittest
import numpy as np
from random import randint
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace

@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
class CopyTest(unittest.TestCase):
    def _get_deep_device(self):
        return caffe2_pb2.DeviceOption(device_type=caffe2_pb2.IDEEP)

def test_copy_to_ideep(self):
        op = core.CreateOperator(
            "CopyCPUToIDEEP",
            ["X"],
            ["X_ideep"],
        )
        op.device_option.CopyFrom(self._get_deep_device())
        n = randint(1, 128)
        c = randint(1, 64)
        h = randint(1, 128)
        w = randint(1, 128)
        X = np.random.rand(n, c, h, w).astype(np.float32)
        workspace.FeedBlob("X", X)
        workspace.RunOperatorOnce(op)
        X_ideep = workspace.FetchBlob("X_ideep")
        np.testing.assert_allclose(X, X_ideep)

def test_copy_to_ideep_zero_dim(self):
        op = core.CreateOperator(
            "CopyCPUToIDEEP",
            ["X"],
            ["X_ideep"],
        )
        op.device_option.CopyFrom(self._get_deep_device())
        n = 0
        c = randint(1, 128)
        X = np.random.rand(n, c).astype(np.float32)
        workspace.FeedBlob("X", X)
        workspace.RunOperatorOnce(op)
        X_ideep = workspace.FetchBlob("X_ideep")
        np.testing.assert_allclose(X, X_ideep)

def test_copy_from_ideep(self):
        op = core.CreateOperator(
            "CopyIDEEPToCPU",
            ["X_ideep"],
            ["X"],
        )
        op.device_option.CopyFrom(self._get_deep_device())
        n = randint(1, 128)
        c = randint(1, 64)
        h = randint(1, 128)
        w = randint(1, 128)
        X = np.random.rand(n, c, h, w).astype(np.float32)
        workspace.FeedBlob("X_ideep", X, self._get_deep_device())
        workspace.RunOperatorOnce(op)
        X_ideep = workspace.FetchBlob("X")
        np.testing.assert_allclose(X, X_ideep)

def test_copy_from_ideep_zero_dim(self):
        op = core.CreateOperator(
            "CopyIDEEPToCPU",
            ["X_ideep"],
            ["X"],
        )
        op.device_option.CopyFrom(self._get_deep_device())
        n = 0
        c = randint(1, 64)
        X = np.random.rand(n, c).astype(np.float32)
        workspace.FeedBlob("X_ideep", X, self._get_deep_device())
        workspace.RunOperatorOnce(op)
        X_ideep = workspace.FetchBlob("X")
        np.testing.assert_allclose(X, X_ideep)

def test_copy_from_ideep_fallthrough(self):
        op = core.CreateOperator(
            "CopyIDEEPToCPU",
            ["X_ideep"],
            ["X"],)
        op.device_option.CopyFrom(self._get_deep_device())
        n = randint(1, 128)
        c = randint(1, 64)
        h = randint(1, 128)
        w = randint(1, 128)
        X = np.random.rand(n, c, h, w).astype(np.float32)
        workspace.FeedBlob("X_ideep", X)
        workspace.RunOperatorOnce(op)
        X_ideep = workspace.FetchBlob("X")
        np.testing.assert_allclose(X, X_ideep)

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

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