#!/usr/bin/python3
# coding=utf-8

# ----------------------------------------------------------------------------------------------------------
# Copyright (c) 2025 Huawei Technologies Co., Ltd.
# This program is free software, you can redistribute it and/or modify it under the terms and conditions of
# CANN Open Software License Agreement Version 2.0 (the "License").
# Please refer to the License for details. You may not use this file except in compliance with the License.
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
# INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
# See LICENSE in the root of the software repository for the full text of the License.
# ----------------------------------------------------------------------------------------------------------


import os
import numpy as np


def get_range_by_dtype(input_type):
    try:
        if input_type == np.float16 or input_type == np.float32 or input_type == np.float64:
            return np.finfo(input_type).min, np.finfo(input_type).max
        else:
            return np.iinfo(input_type).min, np.iinfo(input_type).max
    except ValueError:
        print(f"Unsupported data type:{input_type}")
        
def gen_golden_data_simple():
    input_type = np.float16
    output_type = input_type
    n = 3
    c = 3
    h = 2
    w = 8

    min_val, max_val = get_range_by_dtype(input_type)
    input_shape = [n, c, h, w]
    input_x = np.random.uniform(min_val, max_val, input_shape).astype(input_type)
    golden = np.transpose(input_x, (0, 2, 3, 1)) #nchw-->nhwc
    os.makedirs("input", exist_ok=True)
    os.makedirs("output", exist_ok=True)
    input_x.tofile("./input/input_x.bin")
    golden.tofile("./output/golden.bin")


if __name__ == "__main__":
    gen_golden_data_simple()