test_index_sample_op.py

#   Copyright (c) 2020 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
from op_test import OpTest


class TestIndexSampleOp(OpTest):
    def setUp(self):
        self.op_type = "index_sample"
        self.config()
        xnp = np.random.random(self.x_shape).astype(self.x_type)
        indexnp = np.random.randint(
            low=0, high=self.x_shape[1],
            size=self.index_shape).astype(self.index_type)
        self.inputs = {'X': xnp, 'Index': indexnp}
        index_array = []
        for i in range(self.index_shape[0]):
            for j in indexnp[i]:
                index_array.append(xnp[i, j])
        index_array = np.array(index_array).astype(self.x_type)
        out = np.reshape(index_array, self.index_shape)
        self.outputs = {'Out': out}

    def test_check_output(self):
        self.check_output()

    def test_check_grad(self):
        self.check_grad(['X'], 'Out')

    def config(self):
        """
        For multi-dimension input
        """
        self.x_shape = (10, 20)
        self.x_type = "float64"
        self.index_shape = (10, 10)
        self.index_type = "int32"


class TestCase1(TestIndexSampleOp):
    def config(self):
        """
        For one dimension input
        """
        self.x_shape = (100, 1)
        self.x_type = "float64"
        self.index_shape = (100, 1)
        self.index_type = "int32"


class TestCase2(TestIndexSampleOp):
    def config(self):
        """
        For int64_t index type
        """
        self.x_shape = (10, 100)
        self.x_type = "float64"
        self.index_shape = (10, 10)
        self.index_type = "int64"


class TestCase3(TestIndexSampleOp):
    def config(self):
        """
        For int index type
        """
        self.x_shape = (10, 100)
        self.x_type = "float64"
        self.index_shape = (10, 10)
        self.index_type = "int32"


class TestCase4(TestIndexSampleOp):
    def config(self):
        """
        For int64 index type
        """
        self.x_shape = (10, 100)
        self.x_type = "float64"
        self.index_shape = (10, 10)
        self.index_type = "int64"


if __name__ == "__main__":
    unittest.main()