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.
105 lines
3.3 KiB
105 lines
3.3 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
|
|
import paddle.fluid as fluid
|
|
from paddle.fluid import compiler, Program, program_guard
|
|
|
|
|
|
class TestLinspaceOpCommonCase(OpTest):
|
|
def setUp(self):
|
|
self.op_type = "linspace"
|
|
dtype = 'float32'
|
|
self.inputs = {
|
|
'Start': np.array([0]).astype(dtype),
|
|
'Stop': np.array([10]).astype(dtype),
|
|
'Num': np.array([11]).astype('int32')
|
|
}
|
|
|
|
self.outputs = {'Out': np.arange(0, 11).astype(dtype)}
|
|
|
|
def test_check_output(self):
|
|
self.check_output()
|
|
|
|
|
|
class TestLinspaceOpReverseCase(OpTest):
|
|
def setUp(self):
|
|
self.op_type = "linspace"
|
|
dtype = 'float32'
|
|
self.inputs = {
|
|
'Start': np.array([10]).astype(dtype),
|
|
'Stop': np.array([0]).astype(dtype),
|
|
'Num': np.array([11]).astype('int32')
|
|
}
|
|
|
|
self.outputs = {'Out': np.arange(10, -1, -1).astype(dtype)}
|
|
|
|
def test_check_output(self):
|
|
self.check_output()
|
|
|
|
|
|
class TestLinspaceOpNumOneCase(OpTest):
|
|
def setUp(self):
|
|
self.op_type = "linspace"
|
|
dtype = 'float32'
|
|
self.inputs = {
|
|
'Start': np.array([10]).astype(dtype),
|
|
'Stop': np.array([0]).astype(dtype),
|
|
'Num': np.array([1]).astype('int32')
|
|
}
|
|
|
|
self.outputs = {'Out': np.array(10, dtype=dtype)}
|
|
|
|
def test_check_output(self):
|
|
self.check_output()
|
|
|
|
|
|
class TestLinspaceAPI(unittest.TestCase):
|
|
def test_out(self):
|
|
with program_guard(fluid.Program()):
|
|
out_1 = fluid.data(name="out_1", shape=[5], dtype="float32")
|
|
out_2 = paddle.tensor.linspace(0, 10, 5, dtype='float32', out=out_1)
|
|
exe = fluid.Executor(place=fluid.CPUPlace())
|
|
ipt = {'out_1': np.random.random([5]).astype('float32')}
|
|
res_1, res_2 = exe.run(fluid.default_main_program(),
|
|
feed=ipt,
|
|
fetch_list=[out_1, out_2])
|
|
assert np.array_equal(res_1, res_2)
|
|
|
|
def test_name(self):
|
|
with fluid.program_guard(fluid.Program()):
|
|
out = paddle.linspace(
|
|
0, 10, 5, dtype='float32', name='linspace_res')
|
|
assert 'linspace_res' in out.name
|
|
|
|
|
|
class TestLinspaceOpError(unittest.TestCase):
|
|
def test_errors(self):
|
|
with program_guard(Program(), Program()):
|
|
# for ci coverage
|
|
# The device of fill_constant must be in 'cpu', 'gpu' or None
|
|
def test_device_value():
|
|
paddle.linspace(0, 10, 1, dtype="float32", device='xxxpu')
|
|
|
|
self.assertRaises(ValueError, test_device_value)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|