Fused-RoPE Attention with q_offset and k_offset It's only because I haven't got time to work on that... MLC-LLM uses the C++ APIs but we haven't exposed it in Python. We welcome contributions from the community :)
主要的修改包括 Pre-Normalization、RMSNorm、SwiGLU 和 RoPE。实验选取的 LLaMA 模型使用 128K 个 Token 的词汇表,支持的序列长度最长为 2K。实验使用的 AdamW 优化器遵循 LLaMA 的训练设置。所有训练运行都采用 bfloat16 混合精度。实验使用 ZeRO-1 来做数据并行(对 Optimizer State 做分片),所使用的通信框架是...
Flash Attention RMSNorm RoPE SwiGLU 使用示例 训练时使能融合算子 推理时使能融合算子 openMind Library 已支持Ascend Extension for PyTorch插件torch_npu提供的融合算子特性,让使用PyTorch框架的开发者更充分地释放昇腾AI处理器的算力。 开发者通过from openmind import apply_fused_kernel或者通过openmind-cli train即...
2025-03-13T08:22:15.096745 - Output will be ignored 2025-03-13T08:22:15.264541 - Using xformers attention in VAE 2025-03-13T08:22:15.267534 - Using xformers attention in VAE 2025-03-13T08:22:16.076511 - VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16 2025-03-...
class MixtralAttention(nn.Module): def __init__(self, @@ -257,8 +146,10 @@ def __init__( rope_theta=rope_theta, sliding_window=config.sliding_window, linear_method=linear_method) self.block_sparse_moe = MixtralMoE(config=config, linear_method=linear_method) self.block_sparse_moe =...
2. We also need to pay attention to the inspection time. The method you can use is crane pouring or portable pouring, but it must be checked regularly. It is necessary to control the inspection time within two months, and pay attention to the deformation and expansion of each p...
[c--4l4toshi,-o3noah-nenvba]eevpeybrebreeonel-n4re-ropenoperotretdedfofrorthtehesysnytnhtehseissisofof[l][bl]ebneznozpoypryarnaono [4[,43,-3b-]bp]ypryrrorloel-e4-(41(H1HM)-o)a-nonenyse,ssiy,nnicntlchuledutidincignpgtrhotehtoerceroaeclastciohtinaovnoef...
2025-03-13T08:22:15.267534 - Using xformers attention in VAE 2025-03-13T08:22:16.076511 - VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16 2025-03-13T08:22:16.296938 - model weight dtype torch.float8_e4m3fn, manual cast: torch.bfloat16 ...
apply_rope_inplace) from .sampling import (chain_speculative_sampling, sampling_from_probs, top_k_renorm_prob, top_k_sampling_from_probs, top_k_top_p_sampling_from_probs, top_p_renorm_prob, top_p_sampling_from_probs) from .sparse import BlockSparseAttentionWrapper try: from ._build_...
enable_dp_attention=False, enable_torch_compile=False, torch_compile_max_bs=32, cuda_graph_max_bs=160, torchao_config='', enable_nan_detection=False, enable_p2p_check=False, triton_attention_reduce_in_fp32=False, num_continuous_decode_steps=1, delete_ckpt_after_loading=False) [2024-11-...