#!/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
import tensorflow as tf


bfloat16 = tf.bfloat16.as_numpy_dtype
dtype_emu = {bfloat16: 0, np.float16: 1, np.float32: 2, np.int8: 3, np.int16: 4, np.int32: 5}

def gen_golden_data_simple():
    dtype = np.int8
    ## 核间不均分，单核计算量非对齐:
    input_shape = [17, 1023]
    input_x = np.random.uniform(-50, 50, input_shape).astype(dtype)
    input_y = np.random.uniform(-50, 50, input_shape).astype(dtype)
    golden = (input_x + input_y).astype(dtype)
    tiling = np.array([input_shape[0] * input_shape[1], dtype_emu[dtype]], dtype=np.uint32)
    os.makedirs("input", exist_ok=True)
    os.makedirs("output", exist_ok=True)
    tiling.tofile("./input/input_tiling.bin")
    input_x.tofile("./input/input_x.bin")
    input_y.tofile("./input/input_y.bin")
    golden.tofile("./output/golden.bin")

if __name__ == "__main__":
    gen_golden_data_simple()