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fix onnx in latexocr #14910

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fix onnx in latexocr #14910

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845212c
fix onnx in latexocr
liuhongen1234567 Mar 20, 2025
1dbe480
recover require
liuhongen1234567 Mar 20, 2025
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16 changes: 2 additions & 14 deletions ppocr/modeling/heads/rec_latexocr_head.py
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Original file line number Diff line number Diff line change
Expand Up @@ -907,14 +907,7 @@ def generate(
x = out[:, -self.max_seq_len :]
mask = mask[:, -self.max_seq_len :]
logits = self.net(x, mask=mask, **kwargs)[:, -1, :]
if filter_logits_fn in {top_k, top_p}:
filtered_logits = filter_logits_fn(logits, thres=filter_thres)

probs = F.softmax(filtered_logits / temperature, axis=-1)
else:
raise NotImplementedError("The filter_logits_fn is not supported ")

sample = paddle.multinomial(probs, 1)
sample = paddle.argmax(logits, axis=1).reshape([-1, 1])
out = paddle.concat((out, sample), axis=-1)
pad_mask = paddle.full(shape=[mask.shape[0], 1], fill_value=1, dtype="bool")
mask = paddle.concat((mask, pad_mask), axis=1)
Expand Down Expand Up @@ -966,12 +959,7 @@ def generate_export(
logits = self.net(x, mask=mask, context=context, seq_len=i_idx, **kwargs)[
:, -1, :
]
if filter_logits_fn in {top_k, top_p}:
filtered_logits = filter_logits_fn(logits, thres=filter_thres)

probs = F.softmax(filtered_logits / temperature, axis=-1)

sample = paddle.multinomial(probs, 1)
sample = paddle.argmax(logits, axis=1).reshape([-1, 1])
out = paddle.concat((out, sample), axis=-1)

pad_mask = paddle.full(shape=[mask.shape[0], 1], fill_value=1, dtype="bool")
Expand Down