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bf7e290854
This PR is part of a series attempting to re-submit https://github.com/pytorch/pytorch/pull/134592 as smaller PRs. In jit tests: - Add and use a common raise_on_run_directly method for when a user runs a test file directly which should not be run this way. Print the file which the user should have run. - Raise a RuntimeError on tests which have been disabled (not run) Pull Request resolved: https://github.com/pytorch/pytorch/pull/154725 Approved by: https://github.com/clee2000
78 lines
2.9 KiB
Python
78 lines
2.9 KiB
Python
# Owner(s): ["oncall: jit"]
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import os
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import sys
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import torch
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# Make the helper files in test/ importable
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pytorch_test_dir = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
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sys.path.append(pytorch_test_dir)
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from torch.testing._internal.common_utils import raise_on_run_directly
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from torch.testing._internal.jit_utils import JitTestCase
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class TestTensorCreationOps(JitTestCase):
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"""
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A suite of tests for ops that create tensors.
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"""
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def test_randperm_default_dtype(self):
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def randperm(x: int):
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perm = torch.randperm(x)
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# Have to perform assertion here because TorchScript returns dtypes
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# as integers, which are not comparable against eager torch.dtype.
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assert perm.dtype == torch.int64
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self.checkScript(randperm, (3,))
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def test_randperm_specifed_dtype(self):
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def randperm(x: int):
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perm = torch.randperm(x, dtype=torch.float)
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# Have to perform assertion here because TorchScript returns dtypes
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# as integers, which are not comparable against eager torch.dtype.
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assert perm.dtype == torch.float
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self.checkScript(randperm, (3,))
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def test_triu_indices_default_dtype(self):
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def triu_indices(rows: int, cols: int):
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indices = torch.triu_indices(rows, cols)
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# Have to perform assertion here because TorchScript returns dtypes
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# as integers, which are not comparable against eager torch.dtype.
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assert indices.dtype == torch.int64
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self.checkScript(triu_indices, (3, 3))
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def test_triu_indices_specified_dtype(self):
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def triu_indices(rows: int, cols: int):
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indices = torch.triu_indices(rows, cols, dtype=torch.int32)
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# Have to perform assertion here because TorchScript returns dtypes
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# as integers, which are not comparable against eager torch.dtype.
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assert indices.dtype == torch.int32
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self.checkScript(triu_indices, (3, 3))
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def test_tril_indices_default_dtype(self):
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def tril_indices(rows: int, cols: int):
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indices = torch.tril_indices(rows, cols)
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# Have to perform assertion here because TorchScript returns dtypes
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# as integers, which are not comparable against eager torch.dtype.
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assert indices.dtype == torch.int64
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self.checkScript(tril_indices, (3, 3))
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def test_tril_indices_specified_dtype(self):
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def tril_indices(rows: int, cols: int):
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indices = torch.tril_indices(rows, cols, dtype=torch.int32)
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# Have to perform assertion here because TorchScript returns dtypes
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# as integers, which are not comparable against eager torch.dtype.
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assert indices.dtype == torch.int32
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self.checkScript(tril_indices, (3, 3))
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if __name__ == "__main__":
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raise_on_run_directly("test/test_jit.py")
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