[builder] multihead attn runtime building (#2203)

* [hotfix] correcnt cpu_optim runtime compilation

* [builder] multihead attn

* fix bug

* fix a bug

colossalai/kernel/__init__.py

@@ -12,4 +12,12 @@ except ImportError:
     from colossalai.kernel.op_builder import CPUAdamBuilder
     cpu_optim = CPUAdamBuilder().load()
 
-__all__ = ["fused_optim", "cpu_optim", "LayerNorm", "FusedScaleMaskSoftmax", "MultiHeadAttention"]
+try:
+    from colossalai._C import multihead_attention
+except ImportError:
+    from colossalai.kernel.op_builder import MultiHeadAttnBuilder
+    multihead_attention = MultiHeadAttnBuilder().load()
+
+__all__ = [
+    "fused_optim", "cpu_optim", "multihead_attention", "LayerNorm", "FusedScaleMaskSoftmax", "MultiHeadAttention"
+]

colossalai/kernel/cuda_native/multihead_attention.py

@@ -135,11 +135,8 @@ class MultiHeadAttention(nn.Module):
         # Load cuda modules if needed
         global colossal_multihead_attention
         if colossal_multihead_attention is None:
-            try:
-                import colossalai._C.multihead_attention
-                colossal_multihead_attention = colossalai._C.multihead_attention
-            except ImportError:
-                raise RuntimeError('MultiHeadAttention requires cuda extensions')
+            from colossalai.kernel import multihead_attention
+            colossal_multihead_attention = multihead_attention
 
         # create the layer in cuda kernels.
         cuda_module = colossal_multihead_attention

colossalai/kernel/op_builder/__init__.py

 from .cpu_adam import CPUAdamBuilder
 from .fused_optim import FusedOptimBuilder
+from .multi_head_attn import MultiHeadAttnBuilder
 
-__all__ = ['CPUAdamBuilder', 'FusedOptimBuilder']
+__all__ = ['CPUAdamBuilder', 'FusedOptimBuilder', 'MultiHeadAttnBuilder']

colossalai/kernel/op_builder/builder.py

 import os
+import re
 import sys
 from pathlib import Path
 
+import torch
+
+
+def get_cuda_cc_flag():
+    """get_cuda_cc_flag
+
+    cc flag for your GPU arch
+    """
+    cc_flag = []
+    for arch in torch.cuda.get_arch_list():
+        res = re.search(r'sm_(\d+)', arch)
+        if res:
+            arch_cap = res[1]
+            if int(arch_cap) >= 60:
+                cc_flag.extend(['-gencode', f'arch=compute_{arch_cap},code={arch}'])
+
+    return cc_flag
+
 
 class Builder(object):
 

colossalai/kernel/op_builder/fused_optim.py

@@ -3,7 +3,7 @@ import re
 
 import torch
 
-from .builder import Builder
+from .builder import Builder, get_cuda_cc_flag
 
 
 class FusedOptimBuilder(Builder):
@@ -16,12 +16,7 @@ class FusedOptimBuilder(Builder):
 
         self.extra_cxx_flags = []
         self.extra_cuda_flags = ['-lineinfo']
-        for arch in torch.cuda.get_arch_list():
-            res = re.search(r'sm_(\d+)', arch)
-            if res:
-                arch_cap = res[1]
-                if int(arch_cap) >= 60:
-                    self.extra_cuda_flags.extend(['-gencode', f'arch=compute_{arch_cap},code={arch}'])
+        self.extra_cuda_flags.extend(get_cuda_cc_flag())
 
         self.sources = [self.colossalai_src_path(path) for path in self.sources_files()]
         self.extra_include_paths = [self.colossalai_src_path(path) for path in self.include_paths()]

colossalai/kernel/op_builder/multi_head_attn.py

+import os
+
+from .builder import Builder, get_cuda_cc_flag
+
+
+class MultiHeadAttnBuilder(Builder):
+
+    def __init__(self):
+        self.base_dir = "cuda_native/csrc"
+        self.name = 'multihead_attention'
+        super().__init__()
+        self.extra_cxx_flags = []
+        self.extra_cuda_flags = [
+            '-std=c++14', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__',
+            '-U__CUDA_NO_HALF2_OPERATORS__', '-DTHRUST_IGNORE_CUB_VERSION_CHECK'
+        ]
+
+        self.extra_cuda_flags.extend(get_cuda_cc_flag())
+        self.sources = [self.colossalai_src_path(path) for path in self.sources_files()]
+        self.extra_include_paths = [self.colossalai_src_path(path) for path in self.include_paths()]
+
+        self.version_dependent_macros = ['-DVERSION_GE_1_1', '-DVERSION_GE_1_3', '-DVERSION_GE_1_5']
+
+    def sources_files(self):
+        return [
+            os.path.join(self.base_dir, fname) for fname in [
+                'multihead_attention_1d.cpp', 'kernels/cublas_wrappers.cu', 'kernels/transform_kernels.cu',
+                'kernels/dropout_kernels.cu', 'kernels/normalize_kernels.cu', 'kernels/softmax_kernels.cu',
+                'kernels/general_kernels.cu', 'kernels/cuda_util.cu'
+            ]
+        ]
+
+    def include_paths(self):
+        from torch.utils.cpp_extension import CUDA_HOME
+        ret = []
+        cuda_include = os.path.join(CUDA_HOME, "include")
+        ret = [os.path.join(self.base_dir, "includes"), cuda_include]
+        ret.append(os.path.join(self.base_dir, "kernels", "include"))
+        print("include_paths", ret)
+        return ret
+
+    def builder(self, name):
+        from torch.utils.cpp_extension import CUDAExtension
+        return CUDAExtension(
+            name=name,
+            sources=[os.path.join('colossalai/kernel/cuda_native/csrc', path) for path in self.sources],
+            include_dirs=self.extra_include_paths,
+            extra_compile_args={
+                'cxx': ['-O3'] + self.version_dependent_macros,
+                'nvcc': ['-O3', '--use_fast_math'] + self.extra_cuda_flags
+            })

setup.py

@@ -172,17 +172,9 @@ if build_cuda_ext:
         cuda_ext_helper('colossalai._C.layer_norm', ['layer_norm_cuda.cpp', 'layer_norm_cuda_kernel.cu'],
                         extra_cuda_flags + cc_flag))
 
-    extra_cuda_flags = [
-        '-std=c++14', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__',
-        '-DTHRUST_IGNORE_CUB_VERSION_CHECK'
-    ]
-
-    ext_modules.append(
-        cuda_ext_helper('colossalai._C.multihead_attention', [
-            'multihead_attention_1d.cpp', 'kernels/cublas_wrappers.cu', 'kernels/transform_kernels.cu',
-            'kernels/dropout_kernels.cu', 'kernels/normalize_kernels.cu', 'kernels/softmax_kernels.cu',
-            'kernels/general_kernels.cu', 'kernels/cuda_util.cu'
-        ], extra_cuda_flags + cc_flag))
+    ### MultiHeadAttn Kernel ####
+    from colossalai.kernel.op_builder import MultiHeadAttnBuilder
+    ext_modules.append(MultiHeadAttnBuilder().builder('colossalai._C.multihead_attention'))
 
     ### Gemini Adam kernel ####
     from colossalai.kernel.op_builder import CPUAdamBuilder