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@ -80,9 +80,6 @@ class PaddleASRConnectionHanddler:
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self.init_decoder()
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self.init_decoder()
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self.reset()
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self.reset()
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from paddle.jit.layer import Layer
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self.jit_layer = Layer()
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self.jit_layer.load('/workspace/conformer/PaddleSpeech-conformer/conformer/conformer', paddle.CUDAPlace(1))
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def init_decoder(self):
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def init_decoder(self):
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if "deepspeech2" in self.model_type:
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if "deepspeech2" in self.model_type:
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@ -478,15 +475,9 @@ class PaddleASRConnectionHanddler:
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# cur chunk
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# cur chunk
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chunk_xs = self.cached_feat[:, cur:end, :]
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chunk_xs = self.cached_feat[:, cur:end, :]
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# forward chunk
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# forward chunk
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# (y, self.att_cache, self.cnn_cache) = self.model.encoder.forward_chunk(
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(y, self.att_cache, self.cnn_cache) = self.model.encoder.forward_chunk(
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# chunk_xs, self.offset, required_cache_size,
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chunk_xs, self.offset, required_cache_size,
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# self.att_cache, self.cnn_cache)
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self.att_cache, self.cnn_cache)
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(y, self.att_cache, self.cnn_cache) = self.jit_layer.forward_encoder_chunk(
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chunk_xs,
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paddle.to_tensor([self.offset], dtype='int32'),
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self.att_cache,
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self.cnn_cache)
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outputs.append(y)
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outputs.append(y)
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