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142 lines
4.5 KiB
142 lines
4.5 KiB
# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import unittest
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import numpy as np
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from op_test import OpTest
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import paddle
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import paddle.fluid as fluid
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from paddle.fluid import compiler, Program, program_guard
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from paddle.fluid import core
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class TestLinspaceOpCommonCase(OpTest):
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def setUp(self):
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self.op_type = "linspace"
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dtype = 'float32'
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self.inputs = {
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'Start': np.array([0]).astype(dtype),
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'Stop': np.array([10]).astype(dtype),
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'Num': np.array([11]).astype('int32')
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}
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self.outputs = {'Out': np.arange(0, 11).astype(dtype)}
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def test_check_output(self):
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self.check_output()
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class TestLinspaceOpReverseCase(OpTest):
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def setUp(self):
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self.op_type = "linspace"
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dtype = 'float32'
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self.inputs = {
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'Start': np.array([10]).astype(dtype),
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'Stop': np.array([0]).astype(dtype),
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'Num': np.array([11]).astype('int32')
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}
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self.outputs = {'Out': np.arange(10, -1, -1).astype(dtype)}
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def test_check_output(self):
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self.check_output()
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class TestLinspaceOpNumOneCase(OpTest):
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def setUp(self):
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self.op_type = "linspace"
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dtype = 'float32'
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self.inputs = {
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'Start': np.array([10]).astype(dtype),
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'Stop': np.array([0]).astype(dtype),
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'Num': np.array([1]).astype('int32')
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}
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self.outputs = {'Out': np.array(10, dtype=dtype)}
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def test_check_output(self):
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self.check_output()
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class TestLinspaceAPI(unittest.TestCase):
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def test_dtype(self):
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out_1 = paddle.linspace(0, 10, 5, dtype='float32')
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out_2 = paddle.linspace(0, 10, 5, dtype=np.float32)
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out_3 = paddle.linspace(0, 10, 5, dtype=core.VarDesc.VarType.FP32)
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exe = fluid.Executor(place=fluid.CPUPlace())
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res_1, res_2, res_3 = exe.run(fluid.default_main_program(),
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fetch_list=[out_1, out_2, out_3])
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assert np.array_equal(res_1, res_2)
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def test_name(self):
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with paddle.program_guard(paddle.Program()):
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out = paddle.linspace(
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0, 10, 5, dtype='float32', name='linspace_res')
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assert 'linspace_res' in out.name
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def test_imperative(self):
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with paddle.imperative.guard():
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out = paddle.linspace(0, 10, 5, dtype='float32')
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np_out = np.linspace(0, 10, 5, dtype='float32')
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self.assertEqual((out.numpy() == np_out).all(), True)
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class TestLinspaceOpError(unittest.TestCase):
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def test_errors(self):
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with program_guard(Program(), Program()):
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def test_dtype():
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fluid.layers.linspace(0, 10, 1, dtype="int32")
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self.assertRaises(TypeError, test_dtype)
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def test_start_type():
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fluid.layers.linspace([0], 10, 1, dtype="float32")
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self.assertRaises(TypeError, test_start_type)
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def test_end_dtype():
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fluid.layers.linspace(0, [10], 1, dtype="float32")
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self.assertRaises(TypeError, test_end_dtype)
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def test_step_dtype():
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fluid.layers.linspace(0, 10, [0], dtype="float32")
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self.assertRaises(TypeError, test_step_dtype)
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def test_start_dtype():
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start = fluid.data(shape=[1], type="int32", name="start")
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fluid.layers.linspace(start, 10, 1, dtype="float32")
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self.assertRaises(TypeError, test_start_dtype)
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def test_end_dtype():
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end = fluid.data(shape=[1], type="int32", name="end")
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fluid.layers.linspace(0, end, 1, dtype="float32")
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self.assertRaises(TypeError, test_end_dtype)
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def test_step_dtype():
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step = fluid.data(shape=[1], type="int32", name="step")
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fluid.layers.linspace(0, 10, step, dtype="float32")
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self.assertRaises(TypeError, test_step_dtype)
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if __name__ == "__main__":
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unittest.main()
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