ZQPei commented on a change in pull request #9544:
URL: https://github.com/apache/tvm/pull/9544#discussion_r753802783
##########
File path: python/tvm/contrib/nvcc.py
##########
@@ -72,10 +73,12 @@ def compile_cuda(code, target="ptx", arch=None,
options=None, path_target=None):
file_target = path_target if path_target else temp_target
cmd = ["nvcc"]
- cmd += ["--%s" % target, "-O3"]
+ cmd += ["--%s" % compile_target, "-O3"]
if isinstance(arch, list):
cmd += arch
- else:
+ if isinstance(arch, tvm.ir.container.Array):
Review comment:
Yes, of course.
##########
File path: python/tvm/target/cuda_scope.py
##########
@@ -0,0 +1,98 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""Global configuration/variable scope for cuda target"""
+import tvm
+from tvm._ffi import register_func as _register_func
+from tvm.contrib import nvcc
+
+from .. import nd as _nd
+
+
+class CudaGlobalScope(object):
+ current = None
+
+ def __init__(self):
+ self._old = CudaGlobalScope.current
+ CudaGlobalScope.current = self
+
+ self._old_cuda_target_arch = None
+ self.cuda_target_arch = None
+
+
+CUDA_GLOBAL_SCOPE = CudaGlobalScope()
+CUDA_DEVICE_TYPE = _nd.device("cuda").device_type
Review comment:
It doesn't matter whether CUDA is enabled or not. CUDA_DEVICE_TYPE will
be set to 2.
##########
File path: python/tvm/target/cuda_scope.py
##########
@@ -0,0 +1,98 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""Global configuration/variable scope for cuda target"""
+import tvm
+from tvm._ffi import register_func as _register_func
+from tvm.contrib import nvcc
+
+from .. import nd as _nd
+
+
+class CudaGlobalScope(object):
+ current = None
+
+ def __init__(self):
+ self._old = CudaGlobalScope.current
+ CudaGlobalScope.current = self
+
+ self._old_cuda_target_arch = None
+ self.cuda_target_arch = None
+
+
+CUDA_GLOBAL_SCOPE = CudaGlobalScope()
+CUDA_DEVICE_TYPE = _nd.device("cuda").device_type
+
+
+@_register_func
+def tvm_callback_cuda_compile(code):
+ """use nvcc to generate ptx code for better optimization"""
+ curr_cuda_target_arch = get_cuda_target_arch()
+ # e.g., target arch could be [
+ # "-gencode", "arch=compute_52,code=sm_52",
+ # "-gencode", "arch=compute_70,code=sm_70"
+ # ]
+ compile_target = "fatbin" if isinstance(curr_cuda_target_arch, list) else
"ptx"
+ ptx = nvcc.compile_cuda(code, compile_target=compile_target,
arch=curr_cuda_target_arch)
+ return ptx
+
+
+@_register_func("target.set_cuda_target_arch")
+def set_cuda_target_arch(arch, gencode=True):
+ """set target architecture of nvcc compiler
+
+ Parameters
+ ----------
+ arch: str or list
+ The argument of nvcc -arch. (e.g. "sm_51", "sm_62")
+ it can also be a count of gencode arguments pass to nvcc command line,
+ e.g., ["-gencode", "arch=compute_52,code=sm_52", "-gencode",
"arch=compute_70,code=sm_70"]
+ """
+ if arch is None:
+ cuda_arch = None
+ elif isinstance(arch, str):
+ if gencode:
+ compute_version = arch.split("_")[1]
+ cuda_arch = ["-gencode",
f"arch=compute_{compute_version},code=sm_{compute_version}"]
+ else:
+ cuda_arch = arch
+ elif isinstance(arch, (list, tvm.ir.container.Array)):
+ cuda_arch = list(arch)
+ assert "-gencode" in cuda_arch
+ else:
+ raise TypeError(
+ "arch is expected to be str or "
+ + "a list or NoneType, but received "
+ + "{}".format(type(arch))
+ )
+
+ CudaGlobalScope.current._old_cuda_target_arch = get_cuda_target_arch()
+ CudaGlobalScope.current.cuda_target_arch = cuda_arch
+
+
+@_register_func("target.get_cuda_target_arch")
+def get_cuda_target_arch(target=None):
+ """get target architecture of nvcc compiler"""
+ if target is None:
+ return CudaGlobalScope.current.cuda_target_arch
+
+ return tvm.target.Target(target=target).arch
Review comment:
If it is not CUDA target, the arch attribute will be None.
##########
File path: python/tvm/target/target.py
##########
@@ -113,6 +114,8 @@ def __init__(self, target, host=None):
def __enter__(self):
_ffi_api.TargetEnterScope(self)
+ if self.kind.name == "cuda":
+ self.enter_cuda_scope()
Review comment:
Good suggestion, I will try to amend that.
##########
File path: python/tvm/target/target.py
##########
@@ -139,6 +142,14 @@ def current(allow_none=True):
"""
return _ffi_api.TargetCurrent(allow_none)
+ def enter_cuda_scope(self):
+ if self.arch:
+ set_cuda_target_arch(self.arch)
+
+ @property
+ def arch(self):
Review comment:
There is alreadya `arch` attribute in target class in the C++ side, and
I am simply adding a python API of it.
If it is not CUDA arch, `target.arch` will be None by default.
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