[hotfix] Fix import error: colossal.kernel without triton installed (#4722)

* [hotfix] remove triton kernels from kernel init

* revise bloom/llama kernel imports for infer

colossalai/inference/tensor_parallel/modeling/bloom.py

@@ -17,9 +17,7 @@ from transformers.models.bloom.modeling_bloom import (
 from transformers.utils import logging
 
 from colossalai.inference.tensor_parallel.batch_infer_state import BatchInferState
-from colossalai.kernel.triton.context_attention import bloom_context_attn_fwd
-from colossalai.kernel.triton.copy_kv_cache_dest import copy_kv_cache_to_dest
-from colossalai.kernel.triton.token_attention_kernel import token_attention_fwd
+from colossalai.kernel.triton import bloom_context_attn_fwd, copy_kv_cache_to_dest, token_attention_fwd
 
 
 def generate_alibi(n_head, dtype=torch.float16):

colossalai/inference/tensor_parallel/modeling/llama.py

@@ -6,10 +6,12 @@ from transformers.modeling_outputs import BaseModelOutputWithPast
 from transformers.models.llama.modeling_llama import LlamaAttention, LlamaDecoderLayer, LlamaModel, LlamaRMSNorm
 
 from colossalai.inference.tensor_parallel.batch_infer_state import BatchInferState
-from colossalai.kernel.triton.context_attention import llama_context_attn_fwd
-from colossalai.kernel.triton.copy_kv_cache_dest import copy_kv_cache_to_dest
-from colossalai.kernel.triton.rotary_embedding_kernel import rotary_embedding_fwd
-from colossalai.kernel.triton.token_attention_kernel import token_attention_fwd
+from colossalai.kernel.triton import (
+    copy_kv_cache_to_dest,
+    llama_context_attn_fwd,
+    rotary_embedding_fwd,
+    token_attention_fwd,
+)
 
 try:
     from vllm import layernorm_ops, pos_encoding_ops

colossalai/inference/tensor_parallel/policies/bloom.py

@@ -8,10 +8,10 @@ from colossalai.shardformer.policies.bloom import BloomForCausalLMPolicy
 from ..modeling.bloom import BloomInferenceForwards
 
 try:
-    from colossalai.kernel.triton.fused_layernorm import layer_norm
+    from colossalai.kernel.triton import layer_norm
     HAS_TRITON_NORM = True
 except:
-    print("you should install triton from https://github.com/openai/triton")
+    print("Some of our kernels require triton. You might want to install triton from https://github.com/openai/triton")
     HAS_TRITON_NORM = False
 
 

colossalai/inference/tensor_parallel/policies/llama.py

 from functools import partial
+
 import torch
-from transformers.models.llama.modeling_llama import (
-    LlamaAttention, 
-    LlamaDecoderLayer, 
-    LlamaModel, 
-    LlamaRMSNorm
-)
+from transformers.models.llama.modeling_llama import LlamaAttention, LlamaDecoderLayer, LlamaModel, LlamaRMSNorm
 
 # import colossalai
 from colossalai.shardformer.policies.llama import LlamaForCausalLMPolicy
+
 from ..modeling.llama import LlamaInferenceForwards, get_llama_vllm_rmsnorm_forward
 
 try:
-    from colossalai.kernel.triton.rms_norm import rmsnorm_forward
+    from colossalai.kernel.triton import rmsnorm_forward
     HAS_TRITON_RMSNORM = True
 except:
     print("you should install triton from https://github.com/openai/triton")
     HAS_TRITON_RMSNORM = False
 
-    
+
 def get_triton_rmsnorm_forward():
     if HAS_TRITON_RMSNORM:
+
         def _triton_rmsnorm_forward(self: LlamaRMSNorm, hidden_states: torch.Tensor):
             return rmsnorm_forward(hidden_states, self.weight.data, self.variance_epsilon)
-        
+
         return _triton_rmsnorm_forward
     else:
         return None
-    
+
+
 class LlamaModelInferPolicy(LlamaForCausalLMPolicy):
 
     def __init__(self) -> None:
@@ -59,12 +58,11 @@ class LlamaModelInferPolicy(LlamaForCausalLMPolicy):
         else:
             # NOTE: adding rms_norm from cuda kernels caused precision issue, fix @tiandiao123
             infer_forward = get_llama_vllm_rmsnorm_forward()
-            
+
         if infer_forward is not None:
             method_replacement = {'forward': partial(infer_forward)}
             self.append_or_create_method_replacement(description=method_replacement,
-                                                        policy=policy,
-                                                        target_key=LlamaRMSNorm)
+                                                     policy=policy,
+                                                     target_key=LlamaRMSNorm)
 
         return policy
-

colossalai/kernel/__init__.py

 from .cuda_native import FusedScaleMaskSoftmax, LayerNorm, MultiHeadAttention
-from .triton import llama_context_attn_fwd, bloom_context_attn_fwd
-from .triton import softmax
-from .triton import copy_kv_cache_to_dest
 
 __all__ = [
     "LayerNorm",
     "FusedScaleMaskSoftmax",
     "MultiHeadAttention",
-    "llama_context_attn_fwd",
-    "bloom_context_attn_fwd",
-    "softmax",
-    "copy_kv_cache_to_dest",
 ]

colossalai/kernel/triton/__init__.py

@@ -2,4 +2,11 @@ from .context_attention import bloom_context_attn_fwd, llama_context_attn_fwd
 from .copy_kv_cache_dest import copy_kv_cache_to_dest
 from .fused_layernorm import layer_norm
 from .rms_norm import rmsnorm_forward
+from .rotary_embedding_kernel import rotary_embedding_fwd
 from .softmax import softmax
+from .token_attention_kernel import token_attention_fwd
+
+__all__ = [
+    "llama_context_attn_fwd", "bloom_context_attn_fwd", "softmax", "layer_norm", "rmsnorm_forward",
+    "copy_kv_cache_to_dest", "rotary_embedding_fwd", "token_attention_fwd"
+]