You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
93 lines
3.1 KiB
93 lines
3.1 KiB
# Copyright (c) 2019 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 paddle
|
|
import paddle.fluid.core as core
|
|
from paddle.static import program_guard, Program
|
|
import paddle.compat as cpt
|
|
import unittest
|
|
import numpy as np
|
|
from op_test import OpTest
|
|
|
|
|
|
class TestFullOp(unittest.TestCase):
|
|
""" Test fill_any_like op(whose API is full_like) for attr out. """
|
|
|
|
def test_attr_tensor_API(self):
|
|
startup_program = Program()
|
|
train_program = Program()
|
|
with program_guard(train_program, startup_program):
|
|
fill_value = 2.0
|
|
input = paddle.fluid.data(name='input', dtype='float32', shape=[2, 3])
|
|
output = paddle.full_like(input, fill_value)
|
|
output_dtype = paddle.full_like(input, fill_value, dtype='float32')
|
|
|
|
place = paddle.CPUPlace()
|
|
if core.is_compiled_with_cuda():
|
|
place = paddle.CUDAPlace(0)
|
|
exe = paddle.static.Executor(place)
|
|
exe.run(startup_program)
|
|
|
|
img = np.array([[1, 2, 3], [4, 5, 6]]).astype(np.float32)
|
|
|
|
res = exe.run(train_program,
|
|
feed={'input': img},
|
|
fetch_list=[output])
|
|
|
|
out_np = np.array(res[0])
|
|
self.assertTrue(
|
|
not (out_np - np.full_like(img, fill_value)).any(),
|
|
msg="full_like output is wrong, out = " + str(out_np))
|
|
|
|
def test_full_like_imperative(self):
|
|
paddle.disable_static()
|
|
input = paddle.arange(6, 10, dtype='float32')
|
|
out = paddle.full_like(input, fill_value=888.88, dtype='float32')
|
|
out_numpy = np.random.random((4)).astype("float32")
|
|
out_numpy.fill(888.88)
|
|
self.assertTrue((out.numpy() == out_numpy).all(), True)
|
|
paddle.enable_static()
|
|
|
|
|
|
class TestFullOpError(unittest.TestCase):
|
|
def test_errors(self):
|
|
with program_guard(Program(), Program()):
|
|
#for ci coverage
|
|
|
|
input_data = paddle.fluid.data(
|
|
name='input', dtype='float32', shape=[2, 3])
|
|
output = paddle.full_like(input_data, 2.0)
|
|
|
|
def test_input_dtype():
|
|
paddle.full_like
|
|
|
|
self.assertRaises(
|
|
TypeError,
|
|
paddle.full_like,
|
|
x=input_data,
|
|
fill_value=2,
|
|
dtype='uint4')
|
|
self.assertRaises(
|
|
TypeError,
|
|
paddle.full_like,
|
|
x=input_data,
|
|
fill_value=2,
|
|
dtype='int16')
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|