mirror of
https://github.com/saymrwulf/pytorch.git
synced 2026-05-15 21:00:47 +00:00
8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
66 lines
2.3 KiB
Python
66 lines
2.3 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
##############################################################################
|
|
|
|
from __future__ import absolute_import
|
|
from __future__ import division
|
|
from __future__ import print_function
|
|
from __future__ import unicode_literals
|
|
import numpy as np
|
|
|
|
from caffe2.python import core, workspace
|
|
from caffe2.python.test_util import TestCase
|
|
from caffe2.proto import caffe2_pb2
|
|
|
|
|
|
class TestPrependDim(TestCase):
|
|
def _test_fwd_bwd(self):
|
|
old_shape = (128, 2, 4)
|
|
new_shape = (8, 16, 2, 4)
|
|
X = np.random.rand(*old_shape).astype(np.float32)
|
|
Y = np.random.rand(*new_shape).astype(np.float32)
|
|
|
|
net = core.Net('net')
|
|
|
|
net.GivenTensorFill([], 'X', shape=old_shape, values=X.flatten())
|
|
net.GivenTensorFill([], 'Y', shape=new_shape, values=Y.flatten())
|
|
|
|
net.PrependDim(['X'], ['X_out'], dim_size=8)
|
|
net.DotProduct(['X_out', 'Y'], 'Z')
|
|
net.AddGradientOperators(['Z'])
|
|
|
|
workspace.RunNetOnce(net)
|
|
|
|
X_out = workspace.FetchBlob('X_out')
|
|
X_grad = workspace.FetchBlob('X_grad')
|
|
Y_grad = workspace.FetchBlob('Y_grad')
|
|
|
|
# Check the shape of the gradient
|
|
np.testing.assert_array_equal(X_out.shape, Y.shape)
|
|
np.testing.assert_array_equal(X_grad.shape, X.shape)
|
|
np.testing.assert_array_equal(Y_grad.shape, Y.shape)
|
|
|
|
def test_prepend_dim(self):
|
|
devices = [core.DeviceOption(caffe2_pb2.CPU, 0)]
|
|
if workspace.NumCudaDevices() > 0:
|
|
devices.append(core.DeviceOption(caffe2_pb2.CUDA, 0))
|
|
|
|
for device_opt in devices:
|
|
with core.DeviceScope(device_opt):
|
|
self._test_fwd_bwd()
|
|
|
|
|
|
if __name__ == "__main__":
|
|
import unittest
|
|
unittest.main()
|