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https://github.com/saymrwulf/pytorch.git
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9945fd7253
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/49980 From ``` ./python/libcst/libcst codemod remove_unused_imports.RemoveUnusedImportsWithGlean --no-format caffe2/ ``` Test Plan: Standard sandcastle tests Reviewed By: xush6528 Differential Revision: D25727359 fbshipit-source-id: c4f60005b10546423dc093d31d46deb418352286
81 lines
2.2 KiB
Python
81 lines
2.2 KiB
Python
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import unittest
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import numpy as np
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import hypothesis.strategies as st
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import caffe2.python.hypothesis_test_util as hu
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import caffe2.python.ideep_test_util as mu
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from hypothesis import given, settings
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from caffe2.python import core, workspace
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@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
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class OrderSwitchTest(hu.HypothesisTestCase):
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@given(n=st.integers(1, 128),
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c=st.integers(1, 64),
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h=st.integers(1, 128),
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w=st.integers(1, 128),
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**mu.gcs)
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@settings(max_examples=10, deadline=None)
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def test_nchw2nhwc(self, n, c, h, w, gc, dc):
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op = core.CreateOperator(
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"NCHW2NHWC",
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["X"],
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["Y"],
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)
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X = np.random.rand(n, c, h, w).astype(np.float32) - 0.5
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self.assertDeviceChecks(dc, op, [X], [0])
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@given(n=st.integers(1, 128),
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c=st.integers(1, 64),
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h=st.integers(1, 128),
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w=st.integers(1, 128),
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**mu.gcs)
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@settings(deadline=None, max_examples=50)
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def test_nhwc2nchw(self, n, c, h, w, gc, dc):
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op0 = core.CreateOperator(
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"NCHW2NHWC",
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["X"],
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["Y"],
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)
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op1 = core.CreateOperator(
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"NHWC2NCHW",
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["Y"],
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["Z"],
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)
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X = np.random.rand(n, c, h, w).astype(np.float32) - 0.5
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old_ws_name = workspace.CurrentWorkspace()
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workspace.SwitchWorkspace("_device_check_", True)
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workspace.FeedBlob('X', X, dc[0])
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op0.device_option.CopyFrom(dc[0])
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op1.device_option.CopyFrom(dc[0])
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workspace.RunOperatorOnce(op0)
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workspace.RunOperatorOnce(op1)
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Z0 = workspace.FetchBlob("Z")
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workspace.ResetWorkspace()
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workspace.FeedBlob('X', X, dc[1])
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op0.device_option.CopyFrom(dc[1])
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op1.device_option.CopyFrom(dc[1])
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workspace.RunOperatorOnce(op0)
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workspace.RunOperatorOnce(op1)
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Z1 = workspace.FetchBlob("Z")
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if not np.allclose(Z0, Z1, atol=0.01, rtol=0.01):
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print(Z1.flatten())
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print(Z0.flatten())
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print(np.max(np.abs(Z1 - Z0)))
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self.assertTrue(False)
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workspace.SwitchWorkspace(old_ws_name)
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if __name__ == "__main__":
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unittest.main()
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