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b004307252
Test Plan: manual inspection & sandcastle Reviewed By: zertosh Differential Revision: D30279364 fbshipit-source-id: c1ed77dfe43a3bde358f92737cd5535ae5d13c9a
112 lines
6.3 KiB
Python
112 lines
6.3 KiB
Python
import torch
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from torch._C import parse_schema
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from torch.testing._internal.common_utils import TestCase, run_tests
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class TestFunctionSchema(TestCase):
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def test_serialize_and_deserialize(self):
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schemas = torch._C._jit_get_all_schemas()
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# so far we have around 1700 registered schemas
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self.assertGreater(len(schemas), 1000)
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for schema in schemas:
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parsed_schema = parse_schema(str(schema))
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self.assertEqual(parsed_schema, schema)
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self.assertTrue(parsed_schema.is_backward_compatible_with(schema))
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def test_backward_compatible_structure(self):
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old_schema = parse_schema("any.over(Tensor self, *, Tensor b) -> Tensor")
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# BC: A new schema without changes.
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new_schema = parse_schema("any.over(Tensor self, *, Tensor b) -> Tensor")
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self.assertTrue(new_schema.is_backward_compatible_with(old_schema))
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# No-BC: A new schema with different name.
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new_schema = parse_schema("any_.over(Tensor self, *, Tensor b) -> Tensor")
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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# No-BC: A new schema with different overload name.
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new_schema = parse_schema("any.other(Tensor self, *, Tensor b) -> Tensor")
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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# No-BC: A new schema that adds vararg.
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new_schema = parse_schema("any.over(Tensor self, *, Tensor b, ...) -> Tensor")
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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# No-BC: A new schema with different number of outputs.
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new_schema = parse_schema(
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"any.over(Tensor self, *, Tensor b) -> (Tensor, Tensor)"
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)
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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def test_backward_compatible_outputs(self):
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old_schema = parse_schema("any.over(Tensor self, *, Tensor b) -> Tensor")
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# No-BC: A new schema with output becoming of optional type.
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new_schema = parse_schema("any.over(Tensor self, *, Tensor b) -> Tensor?")
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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# BC: (the opposite case) An schema where the output is not of optional type anymore.
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self.assertTrue(old_schema.is_backward_compatible_with(new_schema))
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# No-BC: A new schema with a different output type.
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new_schema = parse_schema("any.over(Tensor self, *, Tensor b) -> int")
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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# No-BC: A new schema with a different output type.
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new_schema = parse_schema("any.over(Tensor self, *, Tensor b) -> Tensor out")
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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def test_backward_compatible_arguments(self):
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old_schema = parse_schema("any(Tensor self, *, Tensor b, int c) -> Tensor")
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# No-BC: A new schema with less arguments.
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new_schema = parse_schema("any(Tensor self, *, Tensor b) -> Tensor")
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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# No-BC: A new schema with more arguments, appended, but no default value.
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new_schema = parse_schema(
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"any(Tensor self, *, Tensor b, int c, int d) -> Tensor"
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)
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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# BC: A new schema with more arguments, appended, that have a default value.
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new_schema = parse_schema(
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"any(Tensor self, *, Tensor b, int c, int d=1) -> Tensor"
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)
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self.assertTrue(new_schema.is_backward_compatible_with(old_schema))
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# No-BC: A new schema with more arguments, not-appended, that have a default value.
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new_schema = parse_schema(
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"any(Tensor self, int d=1, *, Tensor b, int c) -> Tensor"
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)
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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# BC: A new schema where old kwargs becomes positional.
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new_schema = parse_schema("any(Tensor self, Tensor b, *, int c) -> Tensor")
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self.assertTrue(new_schema.is_backward_compatible_with(old_schema))
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# BC: (the opposite case) A new schema where an old positional argument becomes kwarg.
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self.assertFalse(old_schema.is_backward_compatible_with(new_schema))
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# BC: A new schema where all old kwargs become positional.
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new_schema = parse_schema("any(Tensor self, Tensor b, int c) -> Tensor")
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self.assertTrue(new_schema.is_backward_compatible_with(old_schema))
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# BC: (the opposite case) A new schema where all old positional arguments become kwarg.
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self.assertFalse(old_schema.is_backward_compatible_with(new_schema))
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# No-BC: A new schema where old kwargs appear in different order.
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new_schema = parse_schema("any(Tensor self, *, int c, Tensor b) -> Tensor")
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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# BC: A new schema where argument becomes of type optional.
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new_schema = parse_schema("any(Tensor self, *, Tensor b, int? c) -> Tensor")
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self.assertTrue(new_schema.is_backward_compatible_with(old_schema))
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# BC: A new schema where argument gains a default value.
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new_schema = parse_schema("any(Tensor self, *, Tensor b, int c=1) -> Tensor")
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self.assertTrue(new_schema.is_backward_compatible_with(old_schema))
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# No-BC: A new schema where argument is "renamed".
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new_schema = parse_schema(
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"any(Tensor self, *, Tensor b, int renamed) -> Tensor"
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)
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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# No-BC: A new schema where argument type changes to an incompatible type.
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new_schema = parse_schema("any(Tensor self, *, Tensor b, int[] c) -> Tensor")
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self.assertFalse(new_schema.is_backward_compatible_with(old_schema))
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def test_string_optional_parameter_default_value(self):
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schema_a = parse_schema('example::op(str? order="NCHW") -> (Tensor)')
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schema_b = parse_schema(str(schema_a))
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self.assertEquals(schema_a, schema_b)
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def test_schema_error(self):
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with self.assertRaisesRegex(
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RuntimeError, r"schemas with vararg \(...\) can't have default value args"
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):
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schema = parse_schema("any.foo(int arg1, int arg2=0, ...)")
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if __name__ == "__main__":
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run_tests()
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