# 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 os
import sys
import unittest

import numpy as np


# use dot <CPU, ANY, INT8> as test case.
class TestCustomKernelDot(unittest.TestCase):
    def setUp(self):
        # compile so and set to current path
        cur_dir = os.path.dirname(os.path.abspath(__file__))

        # --inplace to place output so file to current dir
        cmd = f'cd {cur_dir} && {sys.executable} custom_kernel_dot_setup.py build_ext --inplace'
        os.system(cmd)

    def test_custom_kernel_dot_run(self):
        # test dot run
        x_data = np.random.uniform(1, 5, [2, 10]).astype(np.int8)
        y_data = np.random.uniform(1, 5, [2, 10]).astype(np.int8)
        result = np.sum(x_data * y_data, axis=1).reshape([2, 1])

        import paddle

        paddle.set_device('cpu')
        x = paddle.to_tensor(x_data)
        y = paddle.to_tensor(y_data)
        out = paddle.dot(x, y)

        np.testing.assert_array_equal(
            out.numpy(),
            result,
            err_msg=f'custom kernel dot out: {out.numpy()},\n numpy dot out: {result}',
        )


class TestCustomKernelDotC(unittest.TestCase):
    def setUp(self):
        # compile so and set to current path
        cur_dir = os.path.dirname(os.path.abspath(__file__))

        # --inplace to place output so file to current dir
        cmd = f'cd {cur_dir} && {sys.executable} custom_kernel_dot_c_setup.py build_ext --inplace'
        os.system(cmd)

    def test_custom_kernel_dot_run(self):
        # test dot run
        x_data = np.random.uniform(1, 5, [2, 10]).astype(np.int8)
        y_data = np.random.uniform(1, 5, [2, 10]).astype(np.int8)
        result = np.sum(x_data * y_data, axis=1).reshape([2, 1])

        import paddle

        paddle.set_device('cpu')
        x = paddle.to_tensor(x_data)
        y = paddle.to_tensor(y_data)
        out = paddle.dot(x, y)

        np.testing.assert_array_equal(
            out.numpy(),
            result,
            err_msg=f'custom kernel dot out: {out.numpy()},\n numpy dot out: {result}',
        )


if __name__ == '__main__':
    if os.name == 'nt' or sys.platform.startswith('darwin'):
        # only support Linux now
        sys.exit()
    unittest.main()