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【PaddlePaddle Hackathon 3 No.16】为 Paddle 新增 API paddle.take (#44741)
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# Copyright (c) 2022 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. | ||
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from __future__ import print_function | ||
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import unittest | ||
import numpy as np | ||
import paddle | ||
import paddle.fluid as fluid | ||
import paddle.fluid.core as core | ||
from paddle.fluid import Program, program_guard | ||
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class TestTakeAPI(unittest.TestCase): | ||
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def set_mode(self): | ||
self.mode = 'raise' | ||
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def set_dtype(self): | ||
self.input_dtype = 'float64' | ||
self.index_dtype = 'int64' | ||
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def set_input(self): | ||
self.input_shape = [3, 4] | ||
self.index_shape = [2, 3] | ||
self.input_np = np.arange(0, 12).reshape(self.input_shape).astype( | ||
self.input_dtype) | ||
self.index_np = np.arange(-4, 2).reshape(self.index_shape).astype( | ||
self.index_dtype) | ||
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def setUp(self): | ||
self.set_mode() | ||
self.set_dtype() | ||
self.set_input() | ||
self.place = fluid.CUDAPlace( | ||
0) if core.is_compiled_with_cuda() else fluid.CPUPlace() | ||
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def test_static_graph(self): | ||
paddle.enable_static() | ||
startup_program = Program() | ||
train_program = Program() | ||
with program_guard(startup_program, train_program): | ||
x = fluid.data(name='input', | ||
dtype=self.input_dtype, | ||
shape=self.input_shape) | ||
index = fluid.data(name='index', | ||
dtype=self.index_dtype, | ||
shape=self.index_shape) | ||
out = paddle.take(x, index, mode=self.mode) | ||
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exe = fluid.Executor(self.place) | ||
st_result = exe.run(fluid.default_main_program(), | ||
feed={ | ||
'input': self.input_np, | ||
'index': self.index_np | ||
}, | ||
fetch_list=out) | ||
np.testing.assert_allclose( | ||
st_result[0], | ||
np.take(self.input_np, self.index_np, mode=self.mode)) | ||
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def test_dygraph(self): | ||
paddle.disable_static(self.place) | ||
x = paddle.to_tensor(self.input_np) | ||
index = paddle.to_tensor(self.index_np) | ||
dy_result = paddle.take(x, index, mode=self.mode) | ||
np.testing.assert_allclose( | ||
np.take(self.input_np, self.index_np, mode=self.mode), | ||
dy_result.numpy()) | ||
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class TestTakeInt32(TestTakeAPI): | ||
"""Test take API with data type int32""" | ||
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def set_dtype(self): | ||
self.input_dtype = 'int32' | ||
self.index_dtype = 'int64' | ||
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class TestTakeInt64(TestTakeAPI): | ||
"""Test take API with data type int64""" | ||
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def set_dtype(self): | ||
self.input_dtype = 'int64' | ||
self.index_dtype = 'int64' | ||
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class TestTakeFloat32(TestTakeAPI): | ||
"""Test take API with data type float32""" | ||
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def set_dtype(self): | ||
self.input_dtype = 'float32' | ||
self.index_dtype = 'int64' | ||
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class TestTakeTypeError(TestTakeAPI): | ||
"""Test take Type Error""" | ||
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def test_static_type_error(self): | ||
"""Argument 'index' must be Tensor""" | ||
paddle.enable_static() | ||
with program_guard(Program()): | ||
x = fluid.data(name='input', | ||
dtype=self.input_dtype, | ||
shape=self.input_shape) | ||
self.assertRaises(TypeError, paddle.take, x, self.index_np, | ||
self.mode) | ||
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def test_dygraph_type_error(self): | ||
paddle.disable_static(self.place) | ||
x = paddle.to_tensor(self.input_np) | ||
self.assertRaises(TypeError, paddle.take, x, self.index_np, self.mode) | ||
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def test_static_dtype_error(self): | ||
"""Data type of argument 'index' must be in [paddle.int32, paddle.int64]""" | ||
paddle.enable_static() | ||
with program_guard(Program()): | ||
x = fluid.data(name='input', | ||
dtype='float64', | ||
shape=self.input_shape) | ||
index = fluid.data(name='index', | ||
dtype='float32', | ||
shape=self.index_shape) | ||
self.assertRaises(TypeError, paddle.take, x, index, self.mode) | ||
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def test_dygraph_dtype_error(self): | ||
paddle.disable_static(self.place) | ||
x = paddle.to_tensor(self.input_np) | ||
index = paddle.to_tensor(self.index_np, dtype='float32') | ||
self.assertRaises(TypeError, paddle.take, x, index, self.mode) | ||
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class TestTakeModeRaisePos(unittest.TestCase): | ||
"""Test positive index out of range error""" | ||
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def set_mode(self): | ||
self.mode = 'raise' | ||
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def set_dtype(self): | ||
self.input_dtype = 'float64' | ||
self.index_dtype = 'int64' | ||
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def set_input(self): | ||
self.input_shape = [3, 4] | ||
self.index_shape = [5, 6] | ||
self.input_np = np.arange(0, 12).reshape(self.input_shape).astype( | ||
self.input_dtype) | ||
self.index_np = np.arange(-10, 20).reshape(self.index_shape).astype( | ||
self.index_dtype) # positive indices are out of range | ||
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def setUp(self): | ||
self.set_mode() | ||
self.set_dtype() | ||
self.set_input() | ||
self.place = fluid.CUDAPlace( | ||
0) if core.is_compiled_with_cuda() else fluid.CPUPlace() | ||
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def test_static_index_error(self): | ||
"""When the index is out of range, | ||
an error is reported directly through `paddle.index_select`""" | ||
paddle.enable_static() | ||
with program_guard(Program()): | ||
x = fluid.data(name='input', | ||
dtype=self.input_dtype, | ||
shape=self.input_shape) | ||
index = fluid.data(name='index', | ||
dtype=self.index_dtype, | ||
shape=self.index_shape) | ||
self.assertRaises(ValueError, paddle.index_select, x, index) | ||
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def test_dygraph_index_error(self): | ||
paddle.disable_static(self.place) | ||
x = paddle.to_tensor(self.input_np) | ||
index = paddle.to_tensor(self.index_np, dtype=self.index_dtype) | ||
self.assertRaises(ValueError, paddle.index_select, x, index) | ||
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class TestTakeModeRaiseNeg(TestTakeModeRaisePos): | ||
"""Test negative index out of range error""" | ||
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def set_mode(self): | ||
self.mode = 'raise' | ||
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def set_dtype(self): | ||
self.input_dtype = 'float64' | ||
self.index_dtype = 'int64' | ||
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def set_input(self): | ||
self.input_shape = [3, 4] | ||
self.index_shape = [5, 6] | ||
self.input_np = np.arange(0, 12).reshape(self.input_shape).astype( | ||
self.input_dtype) | ||
self.index_np = np.arange(-20, 10).reshape(self.index_shape).astype( | ||
self.index_dtype) # negative indices are out of range | ||
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def setUp(self): | ||
self.set_mode() | ||
self.set_dtype() | ||
self.set_input() | ||
self.place = fluid.CUDAPlace( | ||
0) if core.is_compiled_with_cuda() else fluid.CPUPlace() | ||
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class TestTakeModeWrap(TestTakeAPI): | ||
"""Test take index out of range mode""" | ||
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def set_mode(self): | ||
self.mode = 'wrap' | ||
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def set_input(self): | ||
self.input_shape = [3, 4] | ||
self.index_shape = [5, 8] | ||
self.input_np = np.arange(0, 12).reshape(self.input_shape).astype( | ||
self.input_dtype) | ||
self.index_np = np.arange(-20, 20).reshape(self.index_shape).astype( | ||
self.index_dtype) # Both ends of the index are out of bounds | ||
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class TestTakeModeClip(TestTakeAPI): | ||
"""Test take index out of range mode""" | ||
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def set_mode(self): | ||
self.mode = 'clip' | ||
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def set_input(self): | ||
self.input_shape = [3, 4] | ||
self.index_shape = [5, 8] | ||
self.input_np = np.arange(0, 12).reshape(self.input_shape).astype( | ||
self.input_dtype) | ||
self.index_np = np.arange(-20, 20).reshape(self.index_shape).astype( | ||
self.index_dtype) # Both ends of the index are out of bounds | ||
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if __name__ == "__main__": | ||
unittest.main() |
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