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