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test_take.py
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test_take.py
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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.
from __future__ import print_function
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
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 = fluid.CUDAPlace(
0) if core.is_compiled_with_cuda() else fluid.CPUPlace()
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)
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))
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 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)
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 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)
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 TestTakeModeRaise(unittest.TestCase):
"""Test take 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, 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
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()
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)
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 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
if __name__ == "__main__":
unittest.main()