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76abd9a8ac
Summary: Caffe2: consolidate AveragedLoss with SumElementsOp Differential Revision: D4781561 fbshipit-source-id: 6734adb9dd81d4cad1819a5f8fe736de2477cb72
41 lines
997 B
Python
41 lines
997 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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import caffe2.python.hypothesis_test_util as hu
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import hypothesis.strategies as st
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import numpy as np
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class TestLossOps(hu.HypothesisTestCase):
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@given(n=st.integers(1, 8), **hu.gcs)
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def test_averaged_loss(self, n, gc, dc):
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X = np.random.rand(n).astype(np.float32)
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def avg_op(X):
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return [np.mean(X)]
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op = core.CreateOperator(
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"AveragedLoss",
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["X"],
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["y"],
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)
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self.assertReferenceChecks(
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device_option=gc,
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op=op,
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inputs=[X],
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reference=avg_op,
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)
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self.assertGradientChecks(
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device_option=gc,
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op=op,
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inputs=[X],
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outputs_to_check=0,
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outputs_with_grads=[0],
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)
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