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禾息
2024-08-30 14:15:24 +08:00
parent 29408360fb
commit 18599be8d5
3 changed files with 15 additions and 6 deletions
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14
cosyvoice/bin/export_trt.py
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@@ -1,3 +1,17 @@
# Copyright (c) 2024 Antgroup Inc (authors: Zhoubofan, hexisyztem@icloud.com)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse import argparse
import logging import logging
import os import os

6
cosyvoice/cli/model.py
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@@ -20,11 +20,6 @@ from contextlib import nullcontext
import uuid import uuid
from cosyvoice.utils.common import fade_in_out from cosyvoice.utils.common import fade_in_out
try:
import tensorrt as trt
except ImportError:
...
class CosyVoiceModel: class CosyVoiceModel:
def __init__(self, def __init__(self,
@@ -72,6 +67,7 @@ class CosyVoiceModel:
self.llm.llm = llm_llm self.llm.llm = llm_llm
def load_trt(self, model_dir, use_fp16): def load_trt(self, model_dir, use_fp16):
import tensorrt as trt
trt_file_name = 'estimator_fp16.plan' if use_fp16 else 'estimator_fp32.plan' trt_file_name = 'estimator_fp16.plan' if use_fp16 else 'estimator_fp32.plan'
trt_file_path = os.path.join(model_dir, trt_file_name) trt_file_path = os.path.join(model_dir, trt_file_name)
if not os.path.isfile(trt_file_path): if not os.path.isfile(trt_file_path):

1
cosyvoice/flow/flow_matching.py
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@@ -102,7 +102,6 @@ class ConditionalCFM(BASECFM):
if self.estimator is not None: if self.estimator is not None:
return self.estimator.forward(x, mask, mu, t, spks, cond) return self.estimator.forward(x, mask, mu, t, spks, cond)
else: else:
print("-----------")
assert self.training is False, 'tensorrt cannot be used in training' assert self.training is False, 'tensorrt cannot be used in training'
bs = x.shape[0] bs = x.shape[0]
hs = x.shape[1] hs = x.shape[1]