wehub-resource-sync
72 lines
1.7 KiB
Python
72 lines
1.7 KiB
Python
# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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__all__ = [
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'DimVar',
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'DTypeVar',
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'Tensor',
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]
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# Usage:
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# N = paddle.incubate.cc.typing.DimVar("N")
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# M = paddle.incubate.cc.typing.DimVar(4096)
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class DimVar:
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def __init__(
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self,
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name_or_value: str | int,
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min: int | None = None,
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max: int | None = None,
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):
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self.name_or_value = name_or_value
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self.min = min
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self.max = max
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# alias
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Dim = DimVar
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# Usage:
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# T = paddle.incubate.cc.typing.DTypeVar("T", "bfloat16", "float32")
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class DTypeVar:
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def __init__(self, name: str, *candidates):
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assert len(candidates) > 0
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assert len(candidates) == len(set(candidates))
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for candidate in candidates:
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assert isinstance(candidate, str)
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self.name = str
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self.candidates = candidates
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# alias
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DType = DTypeVar
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# Usage:
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#
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# import paddle.incubate.cc.typing as pct
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# N = pct.DimVar("N")
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# M = pct.DimVar("M")
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# DType = pct.DTypeVar("T")
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# def foo(x: paddle.cc.typing.Tensor([N, M], DType)):
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# ...
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#
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class Tensor:
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def __init__(self, shape, dtype):
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self.shape = shape
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self.dtype = dtype
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