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fix latex_ocr inference #14498

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merged 4 commits into from
Jan 7, 2025
Merged

fix latex_ocr inference #14498

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vivienfanghuagood Jan 6, 2025
505e048
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vivienfanghuagood Jan 6, 2025
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vivienfanghuagood Jan 6, 2025
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vivienfanghuagood Jan 6, 2025
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34 changes: 16 additions & 18 deletions ppocr/modeling/backbones/rec_resnetv2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -88,6 +88,20 @@ def __init__(
self.export = is_export
self.eps = eps

running_mean = paddle.empty([self._out_channels], dtype="float32")
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@GreatV GreatV Jan 6, 2025 •
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paddle.empty里面的元素未初始化，会不会造成训练和输出不稳定。https://www.paddlepaddle.org.cn/documentation/api/paddle/empty_cn.html#empty

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已经改成zeros和ones

running_variance = paddle.empty([self._out_channels], dtype="float32")
orin_shape = self.weight.shape

new_weight = F.batch_norm(
self.weight.reshape([1, self._out_channels, -1]),
running_mean,
running_variance,
momentum=0.0,
epsilon=self.eps,
use_global_stats=False,
).reshape(orin_shape)
self.weight.set_value(new_weight.numpy())

def forward(self, x):
if not self.training:
self.export = True
Expand All @@ -96,28 +110,12 @@ def forward(self, x):
x = pad_same_export(x, self._kernel_size, self._stride, self._dilation)
else:
x = pad_same(x, self._kernel_size, self._stride, self._dilation)
running_mean = paddle.to_tensor([0] * self._out_channels, dtype="float32")
running_variance = paddle.to_tensor([1] * self._out_channels, dtype="float32")
if self.export:
weight = paddle.reshape(
F.batch_norm(
self.weight.reshape([1, self._out_channels, -1]).cast(
paddle.float32
),
running_mean,
running_variance,
momentum=0.0,
epsilon=self.eps,
use_global_stats=False,
),
self.weight.shape,
)
weight = self.weight
else:
weight = paddle.reshape(
F.batch_norm(
self.weight.reshape([1, self._out_channels, -1]).cast(
paddle.float32
),
self.weight.reshape([1, self._out_channels, -1]),
running_mean,
running_variance,
training=True,
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