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import unittest
import numpy as np
import hypothesis.strategies as st
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.ideep_test_util as mu
from hypothesis import given, settings
from caffe2.python import core, workspace
@unittest.skipIf(not workspace.C.use_mkldnn, "No MKLDNN support.")
class OrderSwitchTest(hu.HypothesisTestCase):
@given(n=st.integers(1, 128),
c=st.integers(1, 64),
h=st.integers(1, 128),
w=st.integers(1, 128),
**mu.gcs)
@settings(max_examples=10, deadline=None)
def test_nchw2nhwc(self, n, c, h, w, gc, dc):
op = core.CreateOperator(
"NCHW2NHWC",
["X"],
["Y"],
)
X = np.random.rand(n, c, h, w).astype(np.float32) - 0.5
self.assertDeviceChecks(dc, op, [X], [0])
@given(n=st.integers(1, 128),
c=st.integers(1, 64),
h=st.integers(1, 128),
w=st.integers(1, 128),
**mu.gcs)
@settings(deadline=None, max_examples=50)
def test_nhwc2nchw(self, n, c, h, w, gc, dc):
op0 = core.CreateOperator(
"NCHW2NHWC",
["X"],
["Y"],
)
op1 = core.CreateOperator(
"NHWC2NCHW",
["Y"],
["Z"],
)
X = np.random.rand(n, c, h, w).astype(np.float32) - 0.5
old_ws_name = workspace.CurrentWorkspace()
workspace.SwitchWorkspace("_device_check_", True)
workspace.FeedBlob('X', X, dc[0])
op0.device_option.CopyFrom(dc[0])
op1.device_option.CopyFrom(dc[0])
workspace.RunOperatorOnce(op0)
workspace.RunOperatorOnce(op1)
Z0 = workspace.FetchBlob("Z")
workspace.ResetWorkspace()
workspace.FeedBlob('X', X, dc[1])
op0.device_option.CopyFrom(dc[1])
op1.device_option.CopyFrom(dc[1])
workspace.RunOperatorOnce(op0)
workspace.RunOperatorOnce(op1)
Z1 = workspace.FetchBlob("Z")
if not np.allclose(Z0, Z1, atol=0.01, rtol=0.01):
print(Z1.flatten())
print(Z0.flatten())
print(np.max(np.abs(Z1 - Z0)))
self.assertTrue(False)
workspace.SwitchWorkspace(old_ws_name)
if __name__ == "__main__":
unittest.main()
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