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https://github.com/pytorch/pytorch.git
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d795fb225a
This will add pyrefly to lint runner as a warning only - and allow us to collect feedback about the tool before switching to pyrefly as the main type checker. References the steps outlined here: : https://github.com/pytorch/pytorch/issues/163283: test plan: `lintrunner init` `lintrunner` confirm when pyrefly errors are present results look like: https://gist.github.com/maggiemoss/e6cb2d015dd1ded560ae1329098cf33f Pull Request resolved: https://github.com/pytorch/pytorch/pull/165179 Approved by: https://github.com/ezyang
49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
from . import parametrizations, parametrize, rnn, stateless
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from .clip_grad import ( # pyrefly: ignore # deprecated
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_clip_grads_with_norm_ as clip_grads_with_norm_,
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_get_total_norm as get_total_norm,
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clip_grad_norm,
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clip_grad_norm_,
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clip_grad_value_,
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)
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from .convert_parameters import parameters_to_vector, vector_to_parameters
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from .fusion import (
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fuse_conv_bn_eval,
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fuse_conv_bn_weights,
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fuse_linear_bn_eval,
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fuse_linear_bn_weights,
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)
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from .init import skip_init
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from .memory_format import (
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convert_conv2d_weight_memory_format,
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convert_conv3d_weight_memory_format,
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)
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from .spectral_norm import remove_spectral_norm, spectral_norm
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from .weight_norm import remove_weight_norm, weight_norm
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__all__ = [
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"clip_grad_norm",
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"clip_grad_norm_",
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"clip_grads_with_norm_",
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"clip_grad_value_",
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"convert_conv2d_weight_memory_format",
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"convert_conv3d_weight_memory_format",
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"fuse_conv_bn_eval",
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"fuse_conv_bn_weights",
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"fuse_linear_bn_eval",
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"fuse_linear_bn_weights",
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"get_total_norm",
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"parameters_to_vector",
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"parametrizations",
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"parametrize",
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"remove_spectral_norm",
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"remove_weight_norm",
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"rnn",
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"skip_init",
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"spectral_norm",
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"stateless",
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"vector_to_parameters",
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"weight_norm",
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]
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