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https://github.com/SikongJueluo/Mini-Nav.git
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49 lines
1.2 KiB
Python
49 lines
1.2 KiB
Python
from typing import cast
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import typer
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from commands import app
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@app.command()
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def benchmark(
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ctx: typer.Context,
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model_path: str = typer.Option(
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None, "--model", "-m", help="Path to compressor model weights"
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),
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):
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import torch
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from benchmarks import run_benchmark
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from compressors import DinoCompressor
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from configs import cfg_manager
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from transformers import AutoImageProcessor, BitImageProcessorFast
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from utils import get_device
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config = cfg_manager.get()
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benchmark_cfg = config.benchmark
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device = get_device()
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model_cfg = config.model
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processor = cast(
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BitImageProcessorFast,
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AutoImageProcessor.from_pretrained(model_cfg.dino_model, device_map=device),
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)
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model = DinoCompressor().to(device)
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if model_path:
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from compressors import HashCompressor
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compressor = HashCompressor(
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input_dim=model_cfg.compression_dim,
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hash_bits=model_cfg.compression_dim,
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)
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compressor.load_state_dict(torch.load(model_path))
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model.compressor = compressor
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run_benchmark(
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model=model,
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processor=processor,
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config=benchmark_cfg,
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model_name="dinov2",
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)
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