wehub-resource-sync
142 lines
4.3 KiB
Python
142 lines
4.3 KiB
Python
# 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.
|
|
|
|
import unittest
|
|
|
|
import numpy as np
|
|
from op_test_xpu import XPUOpTest
|
|
|
|
import paddle
|
|
|
|
paddle.enable_static()
|
|
|
|
from get_test_cover_info import (
|
|
XPUOpTestWrapper,
|
|
create_test_class,
|
|
get_xpu_op_support_types,
|
|
)
|
|
|
|
|
|
class XPUTestMulOp(XPUOpTestWrapper):
|
|
def __init__(self):
|
|
self.op_name = 'mul'
|
|
self.use_dynamic_create_class = False
|
|
|
|
class TestXPUMulOp1(XPUOpTest):
|
|
def setUp(self):
|
|
self.op_type = "mul"
|
|
self.dtype = self.in_type
|
|
self.inputs = {
|
|
'X': np.random.random((3, 4, 2, 9)).astype(self.in_type_str),
|
|
'Y': np.random.random((3, 6, 1, 2, 3)).astype(self.in_type_str),
|
|
}
|
|
self.attrs = {
|
|
'x_num_col_dims': 2,
|
|
'y_num_col_dims': 2,
|
|
}
|
|
result = np.dot(
|
|
self.inputs['X'].reshape(3 * 4, 2 * 9),
|
|
self.inputs['Y'].reshape(3 * 6, 1 * 2 * 3),
|
|
)
|
|
result = result.reshape(3, 4, 1, 2, 3)
|
|
self.outputs = {'Out': result}
|
|
|
|
def test_check_output(self):
|
|
paddle.enable_static()
|
|
place = paddle.XPUPlace(0)
|
|
self.check_output_with_place(place, atol=0.01)
|
|
|
|
def test_check_grad_normal(self):
|
|
place = paddle.XPUPlace(0)
|
|
paddle.enable_static()
|
|
self.check_grad_with_place(
|
|
place, ['X', 'Y'], 'Out', max_relative_error=0.1
|
|
)
|
|
|
|
def test_check_grad_ignore_x(self):
|
|
place = paddle.XPUPlace(0)
|
|
paddle.enable_static()
|
|
self.check_grad_with_place(
|
|
place,
|
|
['Y'],
|
|
'Out',
|
|
max_relative_error=0.1,
|
|
no_grad_set=set("X"),
|
|
)
|
|
|
|
def test_check_grad_ignore_y(self):
|
|
place = paddle.XPUPlace(0)
|
|
paddle.enable_static()
|
|
self.check_grad_with_place(
|
|
place,
|
|
['X'],
|
|
'Out',
|
|
max_relative_error=0.1,
|
|
no_grad_set=set('Y'),
|
|
)
|
|
|
|
class TestXPUMulOp2(XPUOpTest):
|
|
def setUp(self):
|
|
self.op_type = "mul"
|
|
self.use_xpu = True
|
|
self.dtype = self.in_type
|
|
self.inputs = {
|
|
'X': np.random.random((20, 5)).astype(self.in_type_str),
|
|
'Y': np.random.random((5, 21)).astype(self.in_type_str),
|
|
}
|
|
self.outputs = {'Out': np.dot(self.inputs['X'], self.inputs['Y'])}
|
|
|
|
def test_check_output(self):
|
|
place = paddle.XPUPlace(0)
|
|
paddle.enable_static()
|
|
self.check_output_with_place(place, atol=0.01)
|
|
|
|
def test_check_grad_normal(self):
|
|
place = paddle.XPUPlace(0)
|
|
paddle.enable_static()
|
|
self.check_grad_with_place(
|
|
place, ['X', 'Y'], 'Out', max_relative_error=0.1
|
|
)
|
|
|
|
def test_check_grad_ignore_x(self):
|
|
place = paddle.XPUPlace(0)
|
|
paddle.enable_static()
|
|
self.check_grad_with_place(
|
|
place,
|
|
['Y'],
|
|
'Out',
|
|
max_relative_error=0.1,
|
|
no_grad_set=set("X"),
|
|
)
|
|
|
|
def test_check_grad_ignore_y(self):
|
|
place = paddle.XPUPlace(0)
|
|
paddle.enable_static()
|
|
self.check_grad_with_place(
|
|
place,
|
|
['X'],
|
|
'Out',
|
|
max_relative_error=0.1,
|
|
no_grad_set=set('Y'),
|
|
)
|
|
|
|
|
|
support_types = get_xpu_op_support_types('mul')
|
|
for stype in support_types:
|
|
create_test_class(globals(), XPUTestMulOp, stype)
|
|
|
|
if __name__ == "__main__":
|
|
paddle.enable_static()
|
|
unittest.main()
|