import argparse
import numpy as np
from caffe2.python import core, workspace
def benchmark_mul_gradient(args):
workspace.FeedBlob("dC", np.random.rand(args.m, args.n).astype(np.float32))
workspace.FeedBlob("A", np.random.rand(args.m, args.n).astype(np.float32))
workspace.FeedBlob("B", np.random.rand(args.m).astype(np.float32))
net = core.Net("mynet")
net.MulGradient(["dC", "A", "B"], ["dA", "dB"], broadcast=True, axis=0)
workspace.CreateNet(net)
workspace.BenchmarkNet(net.Name(), 1, args.iteration, True)
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="benchmark for MulGradient.")
parser.add_argument(
'-m', type=int, default=9508,
help="The number of rows of A")
parser.add_argument(
"-n", type=int, default=80,
help="The number of columns of A")
parser.add_argument(
'-i', "--iteration", type=int, default=100,
help="The number of iterations.")
args, extra_args = parser.parse_known_args()
core.GlobalInit(['python'] + extra_args)
benchmark_mul_gradient(args)