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4c3b02f314
Summary: input dimensions up to "axis" will be flattened to the outer dim of output and the remaining input dims will be the inner dim Closes https://github.com/caffe2/caffe2/pull/1330 Reviewed By: dzhulgakov Differential Revision: D6039560 Pulled By: bddppq fbshipit-source-id: e92c30b49a9288feeefc4a639522406e97e149e1
38 lines
1 KiB
Python
38 lines
1 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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from hypothesis import given
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import numpy as np
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from caffe2.python import core
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import caffe2.python.hypothesis_test_util as hu
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class TestFlatten(hu.HypothesisTestCase):
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@given(X=hu.tensor(min_dim=2, max_dim=4),
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**hu.gcs)
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def test_flatten(self, X, gc, dc):
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for axis in range(X.ndim + 1):
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op = core.CreateOperator(
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"Flatten",
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["X"],
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["Y"],
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axis=axis)
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def flatten_ref(X):
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shape = X.shape
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outer = np.prod(shape[:axis]).astype(int)
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inner = np.prod(shape[axis:]).astype(int)
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return np.copy(X).reshape(outer, inner),
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self.assertReferenceChecks(gc, op, [X], flatten_ref)
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# Check over multiple devices
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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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