#  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 unittest

import numpy as np
from op_test_ipu import IPUOpTest

import paddle
import paddle.nn.functional as F
import paddle.static


class TestBase(IPUOpTest):
    def setUp(self):
        self.set_atol()
        self.set_test_op()
        self.set_training()
        self.set_data_feed()
        self.set_feed_attr()

    def set_test_op(self):
        self.op = F.elu
        self.op_attrs = {}

    def set_data_feed(self):
        data = np.random.uniform(size=[1, 3, 10, 10])
        self.feed_fp32 = {'in_0': data.astype(np.float32)}
        self.feed_fp16 = {'in_0': data.astype(np.float16)}
        self.feed_list = list(self.feed_fp32.keys())

    def set_feed_attr(self):
        self.feed_shape = [x.shape for x in self.feed_fp32.values()]
        self.feed_list = list(self.feed_fp32.keys())
        self.feed_dtype = [x.dtype for x in self.feed_fp32.values()]

    @IPUOpTest.static_graph
    def build_model(self):
        x = paddle.static.data(
            name=self.feed_list[0], shape=self.feed_shape[0], dtype='float32'
        )
        out = self.op(x, **self.op_attrs)
        self.fetch_list = [out.name]

    def run_model(self, exec_mode):
        self.run_op_test(exec_mode)

    def test(self):
        for m in IPUOpTest.ExecutionMode:
            if not self.skip_mode(m):
                self.build_model()
                self.run_model(m)
        self.check()


class TestHardTanhCase0(TestBase):
    def set_data_feed(self):
        data = np.random.uniform(size=[1, 3, 10, 10]) * 30
        self.feed_fp32 = {'in_0': data.astype(np.float32)}
        self.feed_fp16 = {'in_0': data.astype(np.float16)}
        self.feed_list = list(self.feed_fp32.keys())

    def set_test_op(self):
        self.op = paddle.nn.functional.hardtanh
        self.op_attrs = {}


class TestHardTanhCase1(TestHardTanhCase0):
    def set_test_op(self):
        self.op = paddle.nn.functional.hardtanh
        self.op_attrs = {"min": 0.1, 'max': 10.0}


class TestEluCase1(TestBase):
    def set_test_op(self):
        self.op = F.elu
        self.op_attrs = {"alpha": 0.3}


class TestHardShrinkCase0(TestBase):
    def set_test_op(self):
        self.op = F.hardshrink
        self.op_attrs = {}


class TestHardSigmoidCase0(TestBase):
    def set_test_op(self):
        self.op = F.hardsigmoid
        self.op_attrs = {}


class TestHardSigmoidCase1(TestBase):
    def set_test_op(self):
        self.op = F.hardsigmoid
        self.op_attrs = {
            'slope': 0.2,
            'offset': 0.33,
        }


class TestHardSwishCase0(TestBase):
    def set_test_op(self):
        self.op = F.hardswish
        self.op_attrs = {}


class TestLeakyReluCase0(TestBase):
    def set_test_op(self):
        self.op = F.leaky_relu
        self.op_attrs = {}


class TestLeakyReluCase1(TestBase):
    def set_test_op(self):
        self.op = F.leaky_relu
        self.op_attrs = {'negative_slope': 0.2333}


class TestLog10Case0(TestBase):
    def set_test_op(self):
        self.op = paddle.log10
        self.op_attrs = {}


class TestLog1pCase0(TestBase):
    def set_test_op(self):
        self.op = paddle.log1p
        self.op_attrs = {}


class TestLog2Case0(TestBase):
    def set_test_op(self):
        self.op = paddle.log2
        self.op_attrs = {}


class TestLogSigmoidCase0(TestBase):
    def set_test_op(self):
        self.op = F.log_sigmoid
        self.op_attrs = {}


class TestLogSoftmaxCase0(TestBase):
    def set_test_op(self):
        self.op = F.log_softmax
        self.op_attrs = {}


class TestMishCase0(TestBase):
    def set_test_op(self):
        self.op = F.mish
        self.op_attrs = {}


class TestRelu6Case0(TestBase):
    def set_test_op(self):
        self.op = F.relu6
        self.op_attrs = {}


class TestRsqrtCase0(TestBase):
    def set_test_op(self):
        self.op = paddle.rsqrt
        self.op_attrs = {}


class TestSeluCase0(TestBase):
    def set_test_op(self):
        self.op = F.selu
        self.op_attrs = {}


class TestSiluCase0(TestBase):
    def set_test_op(self):
        self.op = F.silu
        self.op_attrs = {}


class TestSoftShrinkCase0(TestBase):
    def set_test_op(self):
        self.op = F.softshrink
        self.op_attrs = {}


class TestSoftShrinkCase1(TestBase):
    def set_test_op(self):
        self.op = F.softshrink
        self.op_attrs = {'threshold': 0.2333}


class TestSquareCase0(TestBase):
    def set_test_op(self):
        self.op = paddle.square
        self.op_attrs = {}


class TestSwishCase0(TestBase):
    def set_test_op(self):
        self.op = F.swish
        self.op_attrs = {}


class TestTanhShrinkCase0(TestBase):
    def set_atol(self):
        super().set_atol()
        self.atol = 1e-7

    def set_test_op(self):
        self.op = F.tanhshrink
        self.op_attrs = {}


class TestThresholdedReluCase0(TestBase):
    def set_test_op(self):
        self.op = F.thresholded_relu
        self.op_attrs = {}


class TestThresholdedReluCase1(TestBase):
    def set_test_op(self):
        self.op = F.thresholded_relu
        self.op_attrs = {'threshold': 0.2333}


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