mirror of
https://github.com/hpcaitech/ColossalAI.git
synced 2025-05-05 23:18:22 +00:00
611a5a80ca
* [inference] add int8 rotary embedding kernel for smoothquant (#4843) * [inference] add smoothquant llama attention (#4850) * add smoothquant llama attention * remove uselss code * remove useless code * fix import error * rename file name * [inference] add silu linear fusion for smoothquant llama mlp (#4853) * add silu linear * update skip condition * catch smoothquant cuda lib exception * prcocess exception for tests * [inference] add llama mlp for smoothquant (#4854) * add llama mlp for smoothquant * fix down out scale * remove duplicate lines * add llama mlp check * delete useless code * [inference] add smoothquant llama (#4861) * add smoothquant llama * fix attention accuracy * fix accuracy * add kv cache and save pretrained * refactor example * delete smooth * refactor code * [inference] add smooth function and delete useless code for smoothquant (#4895) * add smooth function and delete useless code * update datasets * remove duplicate import * delete useless file * refactor codes (#4902) * rafactor code * add license * add torch-int and smoothquant license
38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
try:
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import triton
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HAS_TRITON = True
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except ImportError:
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HAS_TRITON = False
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print("Triton is not installed. Please install Triton to use Triton kernels.")
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# There may exist import error even if we have triton installed.
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if HAS_TRITON:
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from .context_attention import bloom_context_attn_fwd, llama2_context_attn_fwd, llama_context_attn_fwd
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from .copy_kv_cache_dest import copy_kv_cache_to_dest
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from .fused_layernorm import layer_norm
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from .gptq_triton import gptq_fused_linear_triton
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from .int8_rotary_embedding_kernel import int8_rotary_embedding_fwd
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from .rms_norm import rmsnorm_forward
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from .rotary_embedding_kernel import rotary_embedding_fwd
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from .smooth_attention import smooth_llama_context_attn_fwd, smooth_token_attention_fwd
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from .softmax import softmax
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from .token_attention_kernel import token_attention_fwd
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__all__ = [
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"llama_context_attn_fwd",
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"llama2_context_attn_fwd",
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"bloom_context_attn_fwd",
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"softmax",
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"layer_norm",
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"rmsnorm_forward",
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"copy_kv_cache_to_dest",
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"rotary_embedding_fwd",
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"token_attention_fwd",
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"gptq_fused_linear_triton",
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"int8_rotary_embedding_fwd",
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"smooth_llama_context_attn_fwd",
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"smooth_token_attention_fwd",
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]
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