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c6653b65d8
Summary: D47537831 is breaking pyper tests: https://fb.workplace.com/groups/802176577445480/posts/1018902842439518/ with `TypeError: register_buffer() takes 3 positional arguments but 4 were given` Original commit changeset: d4b4069fbd38 Original Phabricator Diff: D47537831 Test Plan: ``` buck2 run //caffe2/torch/fb/training_toolkit/integration_tests/training_lifecycle/cogwheel_tests/pyper_release_v2:cogwheel_smallworld_inline_cvr_infer_pyper_pyper__canary_offline_training-launcher -- --run-harness-in-tupperware --build-fbpkg ads_dper3 --build-fbpkg training_platform ``` Reviewed By: atalman Differential Revision: D47600140 Pull Request resolved: https://github.com/pytorch/pytorch/pull/105581 Approved by: https://github.com/mikaylagawarecki
41 lines
909 B
Python
41 lines
909 B
Python
import builtins
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from typing import Optional, Tuple
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import torch
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from torch import Tensor
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class Parameter(Tensor):
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def __init__(
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self,
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data: Tensor = ...,
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requires_grad: builtins.bool = ...,
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): ...
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def is_lazy(param: Tensor): ...
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class UninitializedParameter(Tensor):
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def __init__(
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self,
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data: Tensor = ...,
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requires_grad: builtins.bool = ...,
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): ...
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def materialize(
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self,
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shape: Tuple[int, ...],
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device: Optional[torch.device] = None,
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dtype: Optional[torch.dtype] = None,
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): ...
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class UninitializedBuffer(Tensor):
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def __init__(
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self,
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data: Tensor = ...,
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requires_grad: builtins.bool = ...,
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): ...
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def materialize(
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self,
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shape: Tuple[int, ...],
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device: Optional[torch.device] = None,
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dtype: Optional[torch.dtype] = None,
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): ...
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