support fp8 t5 encoder in examples #366
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feifeibear
reviewed
Nov 28, 2024
| @@ -19,10 +20,18 @@ def main(): | |||
| engine_args = xFuserArgs.from_cli_args(args) | |||
| engine_config, input_config = engine_args.create_config() | |||
| local_rank = get_world_group().local_rank | |||
| text_encoder = T5EncoderModel.from_pretrained(engine_config.model_config.model, subfolder="text_encoder", torch_dtype=torch.float16) | |||
| if args.use_fp8_t5_encoder: | |||
| from optimum.quanto import freeze, qfloat8, quantize | |||
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add optimum in setup.py
feifeibear
approved these changes
Nov 28, 2024
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The examples now support T5 encoder FP8 quantization, which could save GPU memory usage without affecting the result quality.