ByteDance-Seed/cryofm-v24e308f7f028af46ca2c7ee5af81e29775bc370dddensity-mapnpu:0{
"npu": "Ascend910B (Ascend910_9362), Atlas 800T A2, 64 GB HBM",
"driver": "npu-smi 25.5.5",
"torch": "2.9.0+cpu",
"torch_npu": "2.9.0.post1+gitee7ba04",
"cann": "8.5.1",
"python": "3.11"
}安装:pip install -r requirements.txt
默认运行:python inference.py
{
"source": "EMDB EMD-11649 beta-galactosidase cryo-EM map (real data)",
"fixture_sha256_float32": "d7a2b33dc9c3fc789cff13adf46b7d96474c9e734c6da539ad3b3ffb3436a9fa",
"preprocessing": "Fourier resample 1.85A -> 1.5A (official resize_by_voxel_size), center 64^3 crop, official maxvalue normalization (percentile 99.999, mean 0.04, std 0.09)",
"box": "64x64x64 voxels @ 1.5 A (96 A field of view), fp32, vol_cond conditioning + style tag 0",
"voxels": 262144
}{
"shape": [
1,
64,
64,
64
],
"dtype": "float32",
"finite_ratio": 1.0,
"stats_50step_cfg_run": {
"min": -0.4833,
"max": 11.1772,
"mean": 0.0173,
"std": 1.3416
},
"saved_as": "cryo-EM enhanced density map (.mrc, 1.5 A voxel size)"
}{
"protocol": "same local weights, same seeded inputs (noise generated once on CPU and copied to device), same preprocessing and dtype; forward pass at t=500 conditioned on the real patch; full 25-step euler ODE sampling endpoints compared on both devices",
"emready_forward_max_abs_diff": 0.028199434280395508,
"emready_forward_mean_abs_diff": 0.000937688356568156,
"pretrain_forward_max_abs_diff": 0.009545564651489258,
"pretrain_forward_mean_abs_diff": 0.0003439055258080692,
"sampled_endpoint_emready_max_abs_diff": 0.3604156970977783,
"sampled_endpoint_emready_mean_abs_diff": 0.000546153757112311,
"valid_voxel_mask_mean_abs_diff": 0.0006212271961668053,
"valid_voxel_mask_p999_abs_diff": 0.030581674575805715,
"valid_voxel_mask_cosine": 0.9999979010241073,
"sampled_endpoint_pretrain_max_abs_diff": 0.01567983627319336,
"verdict": "PASS - density-map route acceptance met (masked cosine >= 0.999); residual differences are fp32 kernel reduction-order noise accumulated through ODE integration"
}{
"timing": "torch.npu.synchronize() bracketed, 3 warmup + 10 timed runs, batch=1 box",
"emready_boxes_per_s": 5.882,
"emready_mvxels_per_s": 1.54,
"emready_peak_memory_MB": 2368.7,
"pretrain_boxes_per_s": 11.738,
"pretrain_mvxels_per_s": 3.077,
"sampling_wall_s_50steps_cfg": 8.82,
"dtype": "float32"
}


#NPU #Ascend #Ascend910