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paddlepaddle--paddle/test/legacy_test/test_take.py
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2026-07-13 12:40:42 +08:00

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Python

# 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.
import unittest
import numpy as np
from op_test import get_device_place
import paddle
class TestTakeAPI(unittest.TestCase):
def set_mode(self):
self.mode = 'raise'
def set_dtype(self):
self.input_dtype = 'float64'
self.index_dtype = 'int64'
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)
)
def setUp(self):
self.set_mode()
self.set_dtype()
self.set_input()
self.place = get_device_place()
def test_static_graph(self):
paddle.enable_static()
startup_program = paddle.static.Program()
train_program = paddle.static.Program()
with paddle.static.program_guard(startup_program, train_program):
x = paddle.static.data(
name='input', dtype=self.input_dtype, shape=self.input_shape
)
index = paddle.static.data(
name='index', dtype=self.index_dtype, shape=self.index_shape
)
out = paddle.take(x, index, mode=self.mode)
exe = paddle.static.Executor(self.place)
st_result = exe.run(
paddle.static.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),
)
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(),
)
class TestTakeInt32(TestTakeAPI):
"""Test take API with data type int32"""
def set_dtype(self):
self.input_dtype = 'int32'
self.index_dtype = 'int64'
class TestTakeInt64(TestTakeAPI):
"""Test take API with data type int64"""
def set_dtype(self):
self.input_dtype = 'int64'
self.index_dtype = 'int64'
class TestTakeFloat32(TestTakeAPI):
"""Test take API with data type float32"""
def set_dtype(self):
self.input_dtype = 'float32'
self.index_dtype = 'int64'
class TestTakeTypeError(TestTakeAPI):
"""Test take Type Error"""
def test_static_type_error(self):
"""Argument 'index' must be Tensor"""
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program()):
x = paddle.static.data(
name='input', dtype=self.input_dtype, shape=self.input_shape
)
self.assertRaises(
TypeError, paddle.take, x, self.index_np, self.mode
)
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)
def test_static_dtype_error(self):
"""Data type of argument 'index' must be in [paddle.int32, paddle.int64]"""
paddle.enable_static()
with paddle.static.program_guard(paddle.static.Program()):
x = paddle.static.data(
name='input', dtype='float64', shape=self.input_shape
)
index = paddle.static.data(
name='index', dtype='float32', shape=self.index_shape
)
self.assertRaises(TypeError, paddle.take, x, index, self.mode)
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)
class TestTakeModeRaisePos(unittest.TestCase):
"""Test positive index out of range error"""
def set_mode(self):
self.mode = 'raise'
def set_dtype(self):
self.input_dtype = 'float64'
self.index_dtype = 'int64'
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
def setUp(self):
self.set_mode()
self.set_dtype()
self.set_input()
self.place = get_device_place()
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 paddle.static.program_guard(paddle.static.Program()):
x = paddle.static.data(
name='input', dtype=self.input_dtype, shape=self.input_shape
)
index = paddle.static.data(
name='index', dtype=self.index_dtype, shape=self.index_shape
)
self.assertRaises(ValueError, paddle.index_select, x, index)
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)
class TestTakeModeRaiseNeg(TestTakeModeRaisePos):
"""Test negative index out of range error"""
def set_mode(self):
self.mode = 'raise'
def set_dtype(self):
self.input_dtype = 'float64'
self.index_dtype = 'int64'
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
def setUp(self):
self.set_mode()
self.set_dtype()
self.set_input()
self.place = get_device_place()
class TestTakeModeWrap(TestTakeAPI):
"""Test take index out of range mode"""
def set_mode(self):
self.mode = 'wrap'
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
class TestTakeModeClip(TestTakeAPI):
"""Test take index out of range mode"""
def set_mode(self):
self.mode = 'clip'
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
class TestTakeAPI_ZeroSize(unittest.TestCase):
def set_mode(self):
self.mode = 'raise'
def set_dtype(self):
self.input_dtype = 'float64'
self.index_dtype = 'int64'
def set_input(self):
self.input_shape = [0, 4]
self.index_shape = [0, 3]
self.input_np = np.random.random(self.input_shape).astype(
self.input_dtype
)
self.index_np = np.random.random(self.index_shape).astype(
self.index_dtype
)
def setUp(self):
self.set_mode()
self.set_dtype()
self.set_input()
self.place = get_device_place()
def test_dygraph(self):
paddle.disable_static(self.place)
x = paddle.to_tensor(self.input_np)
x.stop_gradient = False
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(),
)
loss = paddle.sum(dy_result)
loss.backward()
np.testing.assert_allclose(x.grad.shape, x.shape)
if __name__ == "__main__":
unittest.main()