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Paddle/python/paddle/fluid/tests/unittests/test_scale_op.py

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3.0 KiB

# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# 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 print_function
import unittest
import numpy as np
from op_test import OpTest
import paddle.fluid.core as core
from paddle.fluid.op import Operator
class TestScaleOp(OpTest):
def setUp(self):
self.op_type = "scale"
self.inputs = {'X': np.random.random((10, 10)).astype("float32")}
self.attrs = {'scale': -2.3}
self.outputs = {'Out': self.inputs['X'] * self.attrs['scale']}
def test_check_output(self):
self.check_output()
def test_check_grad(self):
self.check_grad(['X'], 'Out')
class TestScaleOpSelectedRows(unittest.TestCase):
def check_with_place(self, place, in_name, out_name):
scope = core.Scope()
# create and initialize Grad Variable
in_height = 10
in_rows = [0, 4, 7]
in_row_numel = 12
scale = 2.0
in_selected_rows = scope.var(in_name).get_selected_rows()
in_selected_rows.set_height(in_height)
in_selected_rows.set_rows(in_rows)
in_array = np.random.random(
(len(in_rows), in_row_numel)).astype("float32")
in_tensor = in_selected_rows.get_tensor()
in_tensor.set(in_array, place)
# create and initialize Param Variable
out_selected_rows = scope.var(out_name).get_selected_rows()
out_tensor = out_selected_rows.get_tensor()
out_tensor._set_dims(in_tensor._get_dims())
# create and run sgd operator
scale_op = Operator("scale", X=in_name, Out=out_name, scale=scale)
scale_op.run(scope, place)
# get and compare result
out_height = out_selected_rows.height()
out_rows = out_selected_rows.rows()
result_array = np.array(out_tensor)
assert (in_array * scale == result_array).all()
assert in_height == out_height
assert in_rows == out_rows
def test_scale_selected_rows(self):
places = [core.CPUPlace()]
if core.is_compiled_with_cuda():
places.append(core.CUDAPlace(0))
for place in places:
self.check_with_place(place, 'in', 'out')
def test_scale_selected_rows_inplace(self):
places = [core.CPUPlace()]
if core.is_compiled_with_cuda():
places.append(core.CUDAPlace(0))
for place in places:
self.check_with_place(place, 'in', 'in')
if __name__ == "__main__":
unittest.main()