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[PYI-4812:DEBUG] PyInstaller Bootloader 6.x
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[PYI-4812:DEBUG] LOADER: executable file: E:\LLM\server-cosyvoice-win-x86-v0.0.3\main.exe
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[PYI-4812:DEBUG] LOADER: trying to load executable-embedded archive...
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[PYI-4812:DEBUG] LOADER: attempting to open archive E:\LLM\server-cosyvoice-win-x86-v0.0.3\main.exe
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[PYI-4812:DEBUG] LOADER: cookie found at offset 0x30F4271
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[PYI-4812:DEBUG] LOADER: archive file: E:\LLM\server-cosyvoice-win-x86-v0.0.3\main.exe
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[PYI-4812:DEBUG] LOADER: process level = 1
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[PYI-4812:DEBUG] LOADER: application's top-level directory: E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep
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[PYI-4812:DEBUG] LOADER: calling SetDllDirectory: E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep
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[PYI-4812:DEBUG] LOADER: ucrtbase.dll found: E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\ucrtbase.dll
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[PYI-4812:DEBUG] LOADER: loading Python shared library: E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\python38.dll
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[PYI-4812:DEBUG] LOADER: loaded functions from Python shared library.
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[PYI-4812:DEBUG] LOADER: extracted pyimod01_archive
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[PYI-4812:DEBUG] LOADER: running pyiboot01_bootstrap.py
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2025-01-24 15:18:19,848 - modelscope - INFO - PyTorch version 2.4.1+cu118 Found.
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2025-01-24 15:18:19,849 - modelscope - INFO - Loading ast index from C:\Users\evilsir\.cache\modelscope\ast_indexer
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2025-01-24 15:18:19,850 - modelscope - INFO - Loading done! Current index file version is 1.15.0, with md5 d41d8cd98f00b204e9800998ecf8427e and a total number of 0 components indexed
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2025-01-24 15:18:22,761 DEBUG Attempting to acquire lock 2653517223632 on E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\static_ffmpeg\lock.file
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2025-01-24 15:18:22,762 DEBUG Lock 2653517223632 acquired on E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\static_ffmpeg\lock.file
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2025-01-24 15:18:22,762 DEBUG Attempting to release lock 2653517223632 on E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\static_ffmpeg\lock.file
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2025-01-24 15:18:22,762 DEBUG Lock 2653517223632 released on E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\static_ffmpeg\lock.file
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E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\diffusers\models\lora.py:393: FutureWarning: `LoRACompatibleLinear` is deprecated and will be removed in version 1.0.0. Use of `LoRACompatibleLinear` is deprecated. Please switch to PEFT backend by installing PEFT: `pip install peft`.
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deprecate("LoRACompatibleLinear", "1.0.0", deprecation_message)
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2025-01-24 15:18:28,397 INFO input frame rate=50
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torch\nn\utils\weight_norm.py:134: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
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WeightNorm.apply(module, name, dim)
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E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\cosyvoice\dataset\processor.py:24: UserWarning: torchaudio._backend.set_audio_backend has been deprecated. With dispatcher enabled, this function is no-op. You can remove the function call.
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torchaudio.set_audio_backend('soundfile')
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onnxruntime\capi\onnxruntime_inference_collection.py:69: UserWarning: Specified provider 'CUDAExecutionProvider' is not in available provider names.Available providers: 'AzureExecutionProvider, CPUExecutionProvider'
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warnings.warn(
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E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\cosyvoice\cli\frontend.py:57: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
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self.spk2info = torch.load(spk2info, map_location=self.device)
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2025-01-24 15:18:30,770 WETEXT INFO found existing fst: E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\tn\zh_tn_tagger.fst
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2025-01-24 15:18:30,770 INFO found existing fst: E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\tn\zh_tn_tagger.fst
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2025-01-24 15:18:30,770 WETEXT INFO E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\tn\zh_tn_verbalizer.fst
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2025-01-24 15:18:30,770 INFO E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\tn\zh_tn_verbalizer.fst
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2025-01-24 15:18:30,770 WETEXT INFO skip building fst for zh_normalizer ...
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2025-01-24 15:18:30,770 INFO skip building fst for zh_normalizer ...
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2025-01-24 15:18:31,386 WETEXT INFO found existing fst: E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\tn\en_tn_tagger.fst
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2025-01-24 15:18:31,386 INFO found existing fst: E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\tn\en_tn_tagger.fst
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2025-01-24 15:18:31,386 WETEXT INFO E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\tn\en_tn_verbalizer.fst
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2025-01-24 15:18:31,386 INFO E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\tn\en_tn_verbalizer.fst
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2025-01-24 15:18:31,386 WETEXT INFO skip building fst for en_normalizer ...
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2025-01-24 15:18:31,386 INFO skip building fst for en_normalizer ...
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E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\cosyvoice\cli\model.py:57: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
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self.llm.load_state_dict(torch.load(llm_model, map_location=self.device))
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E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\cosyvoice\cli\model.py:60: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
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self.flow.load_state_dict(torch.load(flow_model, map_location=self.device))
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E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\cosyvoice\cli\model.py:62: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
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self.hift.load_state_dict(torch.load(hift_model, map_location=self.device))
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2025-01-24 15:18:36,847 DEBUG load_ssl_context verify=True cert=None trust_env=True http2=False
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2025-01-24 15:18:36,848 DEBUG load_verify_locations cafile='E:\\LLM\\server-cosyvoice-win-x86-v0.0.3\\_dep\\certifi\\cacert.pem'
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2025-01-24 15:18:36,850 DEBUG Using proactor: IocpProactor
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2025-01-24 15:18:36,850 DEBUG load_ssl_context verify=True cert=None trust_env=True http2=False
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2025-01-24 15:18:36,851 DEBUG load_verify_locations cafile='E:\\LLM\\server-cosyvoice-win-x86-v0.0.3\\_dep\\certifi\\cacert.pem'
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E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\gradio\components\base.py:190: UserWarning: 'scale' value should be an integer. Using 0.5 will cause issues.
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warnings.warn(
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E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\gradio\components\base.py:190: UserWarning: 'scale' value should be an integer. Using 0.25 will cause issues.
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warnings.warn(
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E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep\gradio\layouts\column.py:55: UserWarning: 'scale' value should be an integer. Using 0.25 will cause issues.
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warnings.warn(
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2025-01-24 15:18:37,013 DEBUG Using proactor: IocpProactor
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INFO: Started server process [4812]
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INFO: Waiting for application startup.
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INFO: Application startup complete.
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ERROR: [Errno 10048] error while attempting to bind on address ('127.0.0.1', 50617): 通常每个套接字地址(协议/网络地址/端口)只允许使用一次。
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INFO: Waiting for application shutdown.
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INFO: Application shutdown complete.
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2025-01-24 15:18:37,356 DEBUG load_ssl_context verify=True cert=None trust_env=True http2=False
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2025-01-24 15:18:37,357 DEBUG load_verify_locations cafile='E:\\LLM\\server-cosyvoice-win-x86-v0.0.3\\_dep\\certifi\\cacert.pem'
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2025-01-24 15:18:37,363 DEBUG load_ssl_context verify=True cert=None trust_env=True http2=False
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2025-01-24 15:18:37,364 DEBUG load_verify_locations cafile='E:\\LLM\\server-cosyvoice-win-x86-v0.0.3\\_dep\\certifi\\cacert.pem'
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2025-01-24 15:18:37,862 DEBUG load_ssl_context verify=True cert=None trust_env=True http2=False
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2025-01-24 15:18:37,863 DEBUG load_verify_locations cafile='E:\\LLM\\server-cosyvoice-win-x86-v0.0.3\\_dep\\certifi\\cacert.pem'
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2025-01-24 15:18:37,866 DEBUG load_ssl_context verify=True cert=None trust_env=True http2=False
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2025-01-24 15:18:37,866 DEBUG load_verify_locations cafile='E:\\LLM\\server-cosyvoice-win-x86-v0.0.3\\_dep\\certifi\\cacert.pem'
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2025-01-24 15:18:38,368 DEBUG connect_tcp.started host='127.0.0.1' port=4780 local_address=None timeout=3 socket_options=None
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2025-01-24 15:18:38,368 DEBUG connect_tcp.started host='127.0.0.1' port=4780 local_address=None timeout=3 socket_options=None
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2025-01-24 15:18:38,369 DEBUG connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x00000269932AB190>
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2025-01-24 15:18:38,394 DEBUG connect_tcp.complete return_value=<httpcore._backends.sync.SyncStream object at 0x00000269932AB130>
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2025-01-24 15:18:38,901 DEBUG start_tls.started ssl_context=<ssl.SSLContext object at 0x00000269932BDA40> server_hostname='127.0.0.1' timeout=3
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2025-01-24 15:18:38,901 DEBUG start_tls.failed exception=ConnectError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))
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2025-01-24 15:18:38,907 DEBUG Starting new HTTPS connection (1): huggingface.co:443
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2025-01-24 15:18:38,927 DEBUG start_tls.started ssl_context=<ssl.SSLContext object at 0x00000269932BDD40> server_hostname='127.0.0.1' timeout=3
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2025-01-24 15:18:38,928 DEBUG start_tls.failed exception=ConnectError(SSLZeroReturnError(6, 'TLS/SSL connection has been closed (EOF) (_ssl.c:1149)'))
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transformer is not installed, please install it if you want to use related modules
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failed to import ttsfrd, use WeTextProcessing instead
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##################### MSBrick Info #####################
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root: E:\LLM\server-cosyvoice-win-x86-v0.0.3\_dep
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args: Namespace(gpu_mode='', model_dir='E:\\LLM\\server-cosyvoice-win-x86-v0.0.3\\_dep\\pretrained_models/CosyVoice-300M', port=50617)
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######################################################