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cd2112717c
* Update ReduceMean Add reduce mean to math Add reduce mean to math * sync reduce_ops_test * Update math_gpu.cu
58 lines
1.9 KiB
Python
58 lines
1.9 KiB
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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import hypothesis.strategies as st
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import numpy as np
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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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class TestArgOps(hu.HypothesisTestCase):
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@given(X=hu.tensor(dtype=np.float32), axis=st.integers(-1, 5),
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keepdims=st.booleans(), **hu.gcs)
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def test_argmax(self, X, axis, keepdims, gc, dc):
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if axis >= len(X.shape):
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axis %= len(X.shape)
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op = core.CreateOperator(
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"ArgMax", ["X"], ["Indices"], axis=axis, keepdims=keepdims,
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device_option=gc)
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def argmax_ref(X):
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indices = np.argmax(X, axis=axis)
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if keepdims:
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out_dims = list(X.shape)
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out_dims[axis] = 1
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indices = indices.reshape(tuple(out_dims))
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return [indices]
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self.assertReferenceChecks(gc, op, [X], argmax_ref)
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self.assertDeviceChecks(dc, op, [X], [0])
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@given(X=hu.tensor(dtype=np.float32), axis=st.integers(-1, 5),
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keepdims=st.booleans(), **hu.gcs)
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def test_argmin(self, X, axis, keepdims, gc, dc):
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if axis >= len(X.shape):
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axis %= len(X.shape)
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op = core.CreateOperator(
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"ArgMin", ["X"], ["Indices"], axis=axis, keepdims=keepdims,
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device_option=gc)
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def argmin_ref(X):
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indices = np.argmin(X, axis=axis)
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if keepdims:
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out_dims = list(X.shape)
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out_dims[axis] = 1
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indices = indices.reshape(tuple(out_dims))
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return [indices]
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self.assertReferenceChecks(gc, op, [X], argmin_ref)
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self.assertDeviceChecks(dc, op, [X], [0])
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if __name__ == "__main__":
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import unittest
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unittest.main()
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