mirror of
https://github.com/saymrwulf/pytorch.git
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ae1ed27756
Summary: `np.str` is removed from numpy 1.20.0. It was an alias to builtin `str` and it's safe to do the replacement. The whole changes is mechanical, generated using the following onliner: ``` fbgr -sl 'np\.str\b' | xargs perl -pi -e 's,\bnp\.str\b,str,g' ``` Test Plan: sandcastle Differential Revision: D46586144 Pull Request resolved: https://github.com/pytorch/pytorch/pull/103931 Approved by: https://github.com/huydhn
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=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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