# 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 site
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 = 'cd {} && {} custom_kernel_dot_setup.py build_ext --inplace'.format(
            cur_dir, sys.executable)
        os.system(cmd)

        # set environment for loading and registering compiled custom kernels
        # only valid in current process
        os.environ['CUSTOM_DEVICE_ROOT'] = cur_dir

    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)

        self.assertTrue(
            np.array_equal(out.numpy(), result),
            "custom kernel dot out: {},\n numpy dot out: {}".format(
                out.numpy(), result))

    def tearDown(self):
        del os.environ['CUSTOM_DEVICE_ROOT']


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 = 'cd {} && {} custom_kernel_dot_c_setup.py build_ext --inplace'.format(
            cur_dir, sys.executable)
        os.system(cmd)

        # set environment for loading and registering compiled custom kernels
        # only valid in current process
        os.environ['CUSTOM_DEVICE_ROOT'] = cur_dir

    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)

        self.assertTrue(
            np.array_equal(out.numpy(), result),
            "custom kernel dot out: {},\n numpy dot out: {}".format(
                out.numpy(), result))

    def tearDown(self):
        del os.environ['CUSTOM_DEVICE_ROOT']


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