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

177 lines
6.2 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
from paddle.fluid import core
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.attrs = {'dtype': int(core.VarDesc.VarType.FP32)}
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.attrs = {'dtype': int(core.VarDesc.VarType.FP32)}
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.attrs = {'dtype': int(core.VarDesc.VarType.FP32)}
self.outputs = {'Out': np.array(10, dtype=dtype)}
def test_check_output(self):
self.check_output()
class TestLinspaceAPI(unittest.TestCase):
def test_variable_input1(self):
start = paddle.full(shape=[1], fill_value=0, dtype='float32')
stop = paddle.full(shape=[1], fill_value=10, dtype='float32')
num = paddle.full(shape=[1], fill_value=5, dtype='int32')
out = paddle.linspace(start, stop, num, dtype='float32')
exe = fluid.Executor(place=fluid.CPUPlace())
res = exe.run(fluid.default_main_program(), fetch_list=[out])
np_res = np.linspace(0, 10, 5, dtype='float32')
self.assertEqual((res == np_res).all(), True)
def test_variable_input2(self):
paddle.disable_static()
start = paddle.full(shape=[1], fill_value=0, dtype='float32')
stop = paddle.full(shape=[1], fill_value=10, dtype='float32')
num = paddle.full(shape=[1], fill_value=5, dtype='int32')
out = paddle.linspace(start, stop, num, dtype='float32')
np_res = np.linspace(0, 10, 5, dtype='float32')
self.assertEqual((out.numpy() == np_res).all(), True)
paddle.enable_static()
def test_dtype(self):
out_1 = paddle.linspace(0, 10, 5, dtype='float32')
out_2 = paddle.linspace(0, 10, 5, dtype=np.float32)
out_3 = paddle.linspace(0, 10, 5, dtype=core.VarDesc.VarType.FP32)
exe = fluid.Executor(place=fluid.CPUPlace())
res_1, res_2, res_3 = exe.run(fluid.default_main_program(),
fetch_list=[out_1, out_2, out_3])
assert np.array_equal(res_1, res_2)
def test_name(self):
with paddle.static.program_guard(paddle.static.Program()):
out = paddle.linspace(
0, 10, 5, dtype='float32', name='linspace_res')
assert 'linspace_res' in out.name
def test_imperative(self):
paddle.disable_static()
out1 = paddle.linspace(0, 10, 5, dtype='float32')
np_out1 = np.linspace(0, 10, 5, dtype='float32')
out2 = paddle.linspace(0, 10, 5, dtype='int32')
np_out2 = np.linspace(0, 10, 5, dtype='int32')
out3 = paddle.linspace(0, 10, 200, dtype='int32')
np_out3 = np.linspace(0, 10, 200, dtype='int32')
paddle.enable_static()
self.assertEqual((out1.numpy() == np_out1).all(), True)
self.assertEqual((out2.numpy() == np_out2).all(), True)
self.assertEqual((out3.numpy() == np_out3).all(), True)
class TestLinspaceOpError(unittest.TestCase):
def test_errors(self):
with program_guard(Program(), Program()):
def test_dtype():
fluid.layers.linspace(0, 10, 1, dtype="int8")
self.assertRaises(TypeError, test_dtype)
def test_dtype():
fluid.layers.linspace(0, 10, 1.33, dtype="int32")
self.assertRaises(TypeError, test_dtype)
def test_start_type():
fluid.layers.linspace([0], 10, 1, dtype="float32")
self.assertRaises(TypeError, test_start_type)
def test_end_dtype():
fluid.layers.linspace(0, [10], 1, dtype="float32")
self.assertRaises(TypeError, test_end_dtype)
def test_step_dtype():
fluid.layers.linspace(0, 10, [0], dtype="float32")
self.assertRaises(TypeError, test_step_dtype)
def test_start_dtype():
start = fluid.data(shape=[1], dtype="int32", name="start")
fluid.layers.linspace(start, 10, 1, dtype="float32")
self.assertRaises(TypeError, test_start_dtype)
def test_end_dtype():
end = fluid.data(shape=[1], dtype="int32", name="end")
fluid.layers.linspace(0, end, 1, dtype="float32")
self.assertRaises(TypeError, test_end_dtype)
def test_num_dtype():
num = fluid.data(shape=[1], dtype="int32", name="step")
fluid.layers.linspace(0, 10, num, dtype="float32")
self.assertRaises(TypeError, test_step_dtype)
if __name__ == "__main__":
unittest.main()