98f5917ac9
* Fix: support infer 2.2 models * Fix imports * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
50 lines
1.4 KiB
Python
50 lines
1.4 KiB
Python
import sys
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import torch
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from transformers import ClapModel, ClapProcessor
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from config import config
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models = dict()
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processor = ClapProcessor.from_pretrained("./emotional/clap-htsat-fused")
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def get_clap_audio_feature(audio_data, device=config.bert_gen_config.device):
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if (
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sys.platform == "darwin"
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and torch.backends.mps.is_available()
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and device == "cpu"
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):
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device = "mps"
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if not device:
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device = "cuda"
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if device not in models.keys():
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models[device] = ClapModel.from_pretrained("./emotional/clap-htsat-fused").to(
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device
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)
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with torch.no_grad():
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inputs = processor(
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audios=audio_data, return_tensors="pt", sampling_rate=48000
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).to(device)
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emb = models[device].get_audio_features(**inputs)
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return emb.T
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def get_clap_text_feature(text, device=config.bert_gen_config.device):
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if (
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sys.platform == "darwin"
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and torch.backends.mps.is_available()
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and device == "cpu"
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):
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device = "mps"
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if not device:
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device = "cuda"
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if device not in models.keys():
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models[device] = ClapModel.from_pretrained("./emotional/clap-htsat-fused").to(
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device
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)
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with torch.no_grad():
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inputs = processor(text=text, return_tensors="pt").to(device)
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emb = models[device].get_text_features(**inputs)
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return emb.T
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