"""
Copyright © 2023 Howard Hughes Medical Institute, Authored by Carsen Stringer and Marius Pachitariu.
"""

import os, sys

os.environ["MKLDNN_VERBOSE"] = "1"
import numpy as np
import time

try:
    import mxnet as mx
    x = mx.sym.Variable("x")
    MXNET_ENABLED = True
except:
    MXNET_ENABLED = False


def test_mkl():
    if MXNET_ENABLED:
        num_filter = 32
        kernel = (3, 3)
        pad = (1, 1)
        shape = (32, 32, 256, 256)

        x = mx.sym.Variable("x")
        w = mx.sym.Variable("w")
        y = mx.sym.Convolution(data=x, weight=w, num_filter=num_filter, kernel=kernel,
                               no_bias=True, pad=pad)
        exe = y.simple_bind(mx.cpu(), x=shape)

        exe.arg_arrays[0][:] = np.random.normal(size=exe.arg_arrays[0].shape)
        exe.arg_arrays[1][:] = np.random.normal(size=exe.arg_arrays[1].shape)

        exe.forward(is_train=False)
        o = exe.outputs[0]
        t = o.asnumpy()


if __name__ == "__main__":
    if MXNET_ENABLED:
        test_mkl()