#!/usr/bin/env python3

# Copyright (c) 2022 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 numpy as np
from cinn.common import *
from cinn.frontend import *
from op_test import OpTest, OpTestTool
from op_test_helper import TestCaseHelper

import paddle


@OpTestTool.skip_if(
    not is_compiled_with_cuda(), "x86 test will be skipped due to timeout."
)
class TestPowOp(OpTest):
    def setUp(self):
        # print(f"\n{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["dtype"],
            low=self.case["base_low"],
            high=self.case["base_high"],
        )
        self.y_np = self.random(
            shape=self.case["y_shape"],
            dtype=self.case["dtype"],
            low=self.case["exp_low"],
            high=self.case["exp_high"],
        )
        self.axis = np.random.choice([-1, 0])

    def build_paddle_program(self, target):
        x = paddle.to_tensor(self.x_np, stop_gradient=False)
        y = paddle.to_tensor(self.y_np, stop_gradient=False)
        out = paddle.pow(x, y)
        self.paddle_outputs = [out]

    def build_cinn_program(self, target):
        builder = NetBuilder("pow")
        x = builder.create_input(
            self.nptype2cinntype(self.x_np.dtype), self.x_np.shape, "x"
        )
        y = builder.create_input(
            self.nptype2cinntype(self.y_np.dtype), self.y_np.shape, "y"
        )
        out = builder.pow(x, y, axis=self.axis)
        prog = builder.build()
        res = self.get_cinn_output(
            prog, target, [x, y], [self.x_np, self.y_np], [out]
        )
        self.cinn_outputs = res

    def test_check_results(self):
        self.check_outputs_and_grads(equal_nan=True)


class TestPowOpShape(TestCaseHelper):
    def init_attrs(self):
        self.class_name = "TestLogicalRightShiftCase"
        self.cls = TestPowOp
        self.inputs = [
            {
                "x_shape": [1],
                "y_shape": [1],
            },
            {
                "x_shape": [1024],
                "y_shape": [1024],
            },
            {
                "x_shape": [512, 256],
                "y_shape": [512, 256],
            },
            {
                "x_shape": [128, 64, 32],
                "y_shape": [128, 64, 32],
            },
            {
                "x_shape": [16, 8, 4, 2],
                "y_shape": [16, 8, 4, 2],
            },
            {
                "x_shape": [16, 8, 4, 2, 1],
                "y_shape": [16, 8, 4, 2, 1],
            },
        ]
        self.dtypes = [
            {
                "dtype": "float32",
            },
        ]
        self.attrs = [
            {
                "base_low": -10,
                "base_high": 10,
                "exp_low": -3,
                "exp_high": 3,
            },
        ]


class TestPowOpDtype(TestCaseHelper):
    def init_attrs(self):
        self.class_name = "TestLogicalRightShiftCase"
        self.cls = TestPowOp
        self.inputs = [
            {
                "x_shape": [1024],
                "y_shape": [1024],
            },
        ]
        self.dtypes = [
            {
                "dtype": "int32",
            },
            {
                "dtype": "int64",
            },
            {
                "dtype": "float16",
            },
            {
                "dtype": "float32",
            },
            {
                "dtype": "float64",
            },
        ]
        self.attrs = [
            {
                "base_low": -10,
                "base_high": 10,
                "exp_low": -3,
                "exp_high": 3,
            },
        ]


if __name__ == "__main__":
    TestPowOpShape().run()
    TestPowOpDtype().run()