From d4aaa84ad16c2c862ffcb5d73bf7852c8ee90d24 Mon Sep 17 00:00:00 2001
From: 雾聪 <wucong.lyb@alibaba-inc.com>
Date: 星期四, 21 三月 2024 14:17:22 +0800
Subject: [PATCH] fix func FunASRWfstDecoderInit
---
funasr/models/ct_transformer/model.py | 55 ++++++++++++++++++++++++++++++++++++++++++++++++++++++-
1 files changed, 54 insertions(+), 1 deletions(-)
diff --git a/funasr/models/ct_transformer/model.py b/funasr/models/ct_transformer/model.py
index 45f5746..9f680fd 100644
--- a/funasr/models/ct_transformer/model.py
+++ b/funasr/models/ct_transformer/model.py
@@ -18,7 +18,6 @@
from funasr.models.transformer.utils.nets_utils import make_pad_mask
from funasr.models.ct_transformer.utils import split_to_mini_sentence, split_words
-
if LooseVersion(torch.__version__) >= LooseVersion("1.6.0"):
from torch.cuda.amp import autocast
else:
@@ -365,3 +364,57 @@
results.append(result_i)
return results, meta_data
+ def export(
+ self,
+ **kwargs,
+ ):
+
+ is_onnx = kwargs.get("type", "onnx") == "onnx"
+ encoder_class = tables.encoder_classes.get(kwargs["encoder"]+"Export")
+ self.encoder = encoder_class(self.encoder, onnx=is_onnx)
+
+ self.forward = self.export_forward
+
+ return self
+
+ def export_forward(self, inputs: torch.Tensor, text_lengths: torch.Tensor):
+ """Compute loss value from buffer sequences.
+
+ Args:
+ input (torch.Tensor): Input ids. (batch, len)
+ hidden (torch.Tensor): Target ids. (batch, len)
+
+ """
+ x = self.embed(inputs)
+ h, _ = self.encoder(x, text_lengths)
+ y = self.decoder(h)
+ return y
+
+ def export_dummy_inputs(self):
+ length = 120
+ text_indexes = torch.randint(0, self.embed.num_embeddings, (2, length)).type(torch.int32)
+ text_lengths = torch.tensor([length-20, length], dtype=torch.int32)
+ return (text_indexes, text_lengths)
+
+ def export_input_names(self):
+ return ['inputs', 'text_lengths']
+
+ def export_output_names(self):
+ return ['logits']
+
+ def export_dynamic_axes(self):
+ return {
+ 'inputs': {
+ 0: 'batch_size',
+ 1: 'feats_length'
+ },
+ 'text_lengths': {
+ 0: 'batch_size',
+ },
+ 'logits': {
+ 0: 'batch_size',
+ 1: 'logits_length'
+ },
+ }
+ def export_name(self):
+ return "model.onnx"
\ No newline at end of file
--
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