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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
48 lines
1.6 KiB
Python
48 lines
1.6 KiB
Python
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from caffe2.python import core, workspace
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import caffe2.python.hypothesis_test_util as hu
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from hypothesis import given
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import numpy as np
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class TestCastOp(hu.HypothesisTestCase):
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@given(**hu.gcs)
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def test_cast_int_float(self, gc, dc):
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data = np.random.rand(5, 5).astype(np.int32)
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# from int to float
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op = core.CreateOperator('Cast', 'data', 'data_cast', to=1, from_type=2)
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self.assertDeviceChecks(dc, op, [data], [0])
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# This is actually 0
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self.assertGradientChecks(gc, op, [data], 0, [0])
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@given(**hu.gcs)
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def test_cast_int_float_empty(self, gc, dc):
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data = np.random.rand(0).astype(np.int32)
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# from int to float
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op = core.CreateOperator('Cast', 'data', 'data_cast', to=1, from_type=2)
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self.assertDeviceChecks(dc, op, [data], [0])
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# This is actually 0
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self.assertGradientChecks(gc, op, [data], 0, [0])
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@given(data=hu.tensor(dtype=np.int32), **hu.gcs_cpu_only)
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def test_cast_int_to_string(self, data, gc, dc):
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op = core.CreateOperator(
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'Cast', 'data', 'data_cast', to=core.DataType.STRING)
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def ref(data):
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ret = data.astype(dtype=np.str)
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# the string blob will be fetched as object, we feed and re-fetch
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# to mimic this.
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with hu.temp_workspace('tmp_ref_int_to_string'):
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workspace.FeedBlob('tmp_blob', ret)
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fetched_ret = workspace.FetchBlob('tmp_blob')
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return (fetched_ret, )
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self.assertReferenceChecks(gc, op, inputs=[data], reference=ref)
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