mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
dbab9b73b6
Summary: 1. Remove avx2 support in mkldnn 2. Seperate mkl, mklml, and mkldnn 3. Fix convfusion test case Pull Request resolved: https://github.com/pytorch/pytorch/pull/12170 Reviewed By: yinghai Differential Revision: D10207126 Pulled By: orionr fbshipit-source-id: 1e62eb47943f426a89d57e2d2606439f2b04fd51
61 lines
2.2 KiB
Python
61 lines
2.2 KiB
Python
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
|
|
import unittest
|
|
from hypothesis import assume, given
|
|
import hypothesis.strategies as st
|
|
import numpy as np
|
|
|
|
from caffe2.proto import caffe2_pb2
|
|
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 DropoutTest(hu.HypothesisTestCase):
|
|
|
|
@given(X=hu.tensor(),
|
|
in_place=st.booleans(),
|
|
ratio=st.floats(0, 0.999),
|
|
**mu.gcs)
|
|
def test_dropout_is_test(self, X, in_place, ratio, gc, dc):
|
|
"""Test with is_test=True for a deterministic reference impl."""
|
|
op = core.CreateOperator('Dropout', ['X'],
|
|
['X' if in_place else 'Y'],
|
|
ratio=ratio, is_test=True)
|
|
|
|
self.assertDeviceChecks(dc, op, [X], [0])
|
|
# No sense in checking gradients for test phase
|
|
|
|
def reference_dropout_test(x):
|
|
return x, np.ones(x.shape, dtype=np.bool)
|
|
self.assertReferenceChecks(
|
|
gc, op, [X], reference_dropout_test,
|
|
# The 'mask' output may be uninitialized
|
|
outputs_to_check=[0])
|
|
|
|
@given(X=hu.tensor(),
|
|
in_place=st.booleans(),
|
|
output_mask=st.booleans(),
|
|
**mu.gcs)
|
|
@unittest.skipIf(True, "Skip duo to different rand seed.")
|
|
def test_dropout_ratio0(self, X, in_place, output_mask, gc, dc):
|
|
"""Test with ratio=0 for a deterministic reference impl."""
|
|
is_test = not output_mask
|
|
op = core.CreateOperator('Dropout', ['X'],
|
|
['X' if in_place else 'Y'] +
|
|
(['mask'] if output_mask else []),
|
|
ratio=0.0, is_test=is_test)
|
|
|
|
self.assertDeviceChecks(dc, op, [X], [0])
|
|
|
|
def reference_dropout_ratio0(x):
|
|
return (x,) if is_test else (x, np.ones(x.shape, dtype=np.bool))
|
|
self.assertReferenceChecks(
|
|
gc, op, [X], reference_dropout_ratio0, outputs_to_check=[0])
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|