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https://github.com/saymrwulf/pytorch.git
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d8588d8007
Summary: Renamed ElementwisePower to Pow for better discoverability. Added CUDA version and Gradient + tests. Reviewed By: kennyhorror Differential Revision: D4665550 fbshipit-source-id: dd33d8ad3917d71504e363ab397af50d38a63b1f
35 lines
1,017 B
Python
35 lines
1,017 B
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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from caffe2.python import core
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from hypothesis import given
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from hypothesis import strategies as st
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import caffe2.python.hypothesis_test_util as hu
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import unittest
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class TestPowOp(hu.HypothesisTestCase):
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@given(X=hu.tensor(),
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exponent=st.floats(min_value=2.0, max_value=3.0),
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**hu.gcs)
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def test_elementwise_power(self, X, exponent, gc, dc):
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def powf(X):
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return (X ** exponent,)
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def powf_grad(g_out, outputs, fwd_inputs):
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return (exponent * (fwd_inputs[0] ** (exponent - 1)) * g_out,)
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op = core.CreateOperator(
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"Pow", ["X"], ["Y"], exponent=exponent)
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self.assertReferenceChecks(gc, op, [X], powf,
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output_to_grad="Y",
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grad_reference=powf_grad),
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if __name__ == "__main__":
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unittest.main()
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