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27c7158166
Summary: There is a module called `2to3` which you can target for future specifically to remove these, the directory of `caffe2` has the most redundant imports: ```2to3 -f future -w caffe2``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/45033 Reviewed By: seemethere Differential Revision: D23808648 Pulled By: bugra fbshipit-source-id: 38971900f0fe43ab44a9168e57f2307580d36a38
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
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import argparse
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import numpy as np
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from caffe2.python import core, workspace
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def benchmark_mul_gradient(args):
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workspace.FeedBlob("dC", np.random.rand(args.m, args.n).astype(np.float32))
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workspace.FeedBlob("A", np.random.rand(args.m, args.n).astype(np.float32))
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workspace.FeedBlob("B", np.random.rand(args.m).astype(np.float32))
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net = core.Net("mynet")
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net.MulGradient(["dC", "A", "B"], ["dA", "dB"], broadcast=True, axis=0)
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workspace.CreateNet(net)
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workspace.BenchmarkNet(net.Name(), 1, args.iteration, True)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description="benchmark for MulGradient.")
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parser.add_argument(
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'-m', type=int, default=9508,
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help="The number of rows of A")
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parser.add_argument(
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"-n", type=int, default=80,
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help="The number of columns of A")
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parser.add_argument(
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'-i', "--iteration", type=int, default=100,
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help="The number of iterations.")
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args, extra_args = parser.parse_known_args()
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core.GlobalInit(['python'] + extra_args)
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benchmark_mul_gradient(args)
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