# Copyright (c) 2023 CINN 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 import OpTest, OpTestTool
from op_test_helper import TestCaseHelper
import paddle
import cinn
from cinn.frontend import *
from cinn.common import *


@OpTestTool.skip_if(not is_compiled_with_cuda(),
                    "x86 test will be skipped due to timeout.")
class TestAsinhOp(OpTest):
    def setUp(self):
        print(f"\nRunning {self.__class__.__name__}: {self.case}")
        self.prepare_inputs()

    def prepare_inputs(self):
        self.x_np = self.random(
            shape=self.case["x_shape"], dtype=self.case["x_dtype"])

    def build_paddle_program(self, target):
        x = paddle.to_tensor(self.x_np, stop_gradient=False)
        out = paddle.asinh(x)

        self.paddle_outputs = [out]

    def build_cinn_program(self, target):
        builder = NetBuilder("asinh")
        x = builder.create_input(
            self.nptype2cinntype(self.case["x_dtype"]), self.case["x_shape"],
            "x")

        out = builder.asinh(x)

        prog = builder.build()
        res = self.get_cinn_output(prog, target, [x], [self.x_np], [out])

        self.cinn_outputs = res

    def test_check_results(self):
        max_relative_error = self.case[
            "max_relative_error"] if "max_relative_error" in self.case else 1e-5
        self.check_outputs_and_grads(max_relative_error=max_relative_error)


class TestAsinhCase1(TestCaseHelper):
    def init_attrs(self):
        self.class_name = "TestAsinhCase1"
        self.cls = TestAsinhOp
        self.inputs = [{"x_shape": [512, 256]}]
        self.dtypes = [{
            "x_dtype": "float32"
        }, {
            "x_dtype": "float64",
        }]
        self.attrs = []


class TestAsinhCase2(TestCaseHelper):
    def init_attrs(self):
        self.class_name = "TestAsinhCase2"
        self.cls = TestAsinhOp
        self.inputs = [{
            "x_shape": [1]
        }, {
            "x_shape": [1024]
        }, {
            "x_shape": [512, 256]
        }, {
            "x_shape": [128, 64, 32]
        }, {
            "x_shape": [128, 2048, 32]
        }, {
            "x_shape": [16, 8, 4, 2]
        }, {
            "x_shape": [1, 1, 1, 1]
        }, {
            "x_shape": [16, 8, 4, 2, 1]
        }]
        self.dtypes = [{"x_dtype": "float32"}]
        self.attrs = []


if __name__ == "__main__":
    TestAsinhCase1().run()
    TestAsinhCase2().run()
