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Fixed minor spelling mistakes (#10489)

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Co-authored-by: WybeKoper <WybeKoper@users.noreply.github.com>
This commit is contained in:
WybeKoper
2021-03-03 09:47:25 +01:00
committed by GitHub
parent 1750e62900
commit 5dc303e281
3 changed files with 4 additions and 4 deletions
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2
src/transformers/data/processors/squad.py
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@@ -779,7 +779,7 @@ class SquadFeatures:
token_to_orig_map: mapping between the tokens and the original text, needed in order to identify the answer. token_to_orig_map: mapping between the tokens and the original text, needed in order to identify the answer.
start_position: start of the answer token index start_position: start of the answer token index
end_position: end of the answer token index end_position: end of the answer token index
encoding: optionally store the BatchEncoding with the fast-tokenizer alignement methods. encoding: optionally store the BatchEncoding with the fast-tokenizer alignment methods.
""" """
def __init__( def __init__(

4
src/transformers/models/ibert/quant_modules.py
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@@ -169,7 +169,7 @@ class QuantAct(nn.Module):
): ):
x_act = x if identity is None else identity + x x_act = x if identity is None else identity + x
# collect runnng stats if traiing # collect running stats if training
if self.training: if self.training:
assert not self.percentile, "percentile mode is not currently supported for activation." assert not self.percentile, "percentile mode is not currently supported for activation."
assert not self.per_channel, "per-channel mode is not currently supported for activation." assert not self.per_channel, "per-channel mode is not currently supported for activation."
@@ -746,7 +746,7 @@ def batch_frexp(inputs, max_bit=31):
class FixedPointMul(Function): class FixedPointMul(Function):
""" """
Function to perform fixed-point arthmetic that can match integer arthmetic on hardware. Function to perform fixed-point arithmetic that can match integer arithmetic on hardware.
Args: Args:
pre_act (:obj:`torch.Tensor`): pre_act (:obj:`torch.Tensor`):

2
src/transformers/trainer_pt_utils.py
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@@ -44,7 +44,7 @@ else:
if is_torch_tpu_available(): if is_torch_tpu_available():
import torch_xla.core.xla_model as xm import torch_xla.core.xla_model as xm
# this is used to supress an undesired warning emitted by pytorch versions 1.4.2-1.7.0 # this is used to suppress an undesired warning emitted by pytorch versions 1.4.2-1.7.0
try: try:
from torch.optim.lr_scheduler import SAVE_STATE_WARNING from torch.optim.lr_scheduler import SAVE_STATE_WARNING
except ImportError: except ImportError: