From 49be65031b2510b6b94516174ea93019407a1aad Mon Sep 17 00:00:00 2001
From: 凌匀 <ailsa.zly@alibaba-inc.com>
Date: 星期五, 21 四月 2023 18:46:29 +0800
Subject: [PATCH] merge inference.py and memory optimization
---
funasr/runtime/python/onnxruntime/funasr_onnx/utils/frontend.py | 4 ++--
1 files changed, 2 insertions(+), 2 deletions(-)
diff --git a/funasr/runtime/python/onnxruntime/funasr_onnx/utils/frontend.py b/funasr/runtime/python/onnxruntime/funasr_onnx/utils/frontend.py
index c92db4e..5478236 100644
--- a/funasr/runtime/python/onnxruntime/funasr_onnx/utils/frontend.py
+++ b/funasr/runtime/python/onnxruntime/funasr_onnx/utils/frontend.py
@@ -217,7 +217,7 @@
frame_num = self.compute_frame_num(input.shape[-1], self.frame_sample_length, self.frame_shift_sample_length)
# update self.in_cache
self.input_cache = input[:, -(input.shape[-1] - frame_num * self.frame_shift_sample_length):]
- waveforms = np.empty(0, dtype=np.int16)
+ waveforms = np.empty(0, dtype=np.float32)
feats_pad = np.empty(0, dtype=np.float32)
feats_lens = np.empty(0, dtype=np.int32)
if frame_num:
@@ -237,7 +237,7 @@
mat[i, :] = self.fbank_fn.get_frame(i)
feat = mat.astype(np.float32)
feat_len = np.array(mat.shape[0]).astype(np.int32)
- feats.append(mat)
+ feats.append(feat)
feats_lens.append(feat_len)
waveforms = np.stack(waveforms)
--
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