comaniac commented on a change in pull request #9544:
URL: https://github.com/apache/tvm/pull/9544#discussion_r755622053
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File path: python/tvm/target/target.py
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@@ -228,7 +235,7 @@ def _merge_opts(opts, new_opts):
return opts
-def cuda(model="unknown", options=None):
+def cuda(model="unknown", arch=None, options=None):
Review comment:
docstring
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File path: src/target/target_kind.cc
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@@ -143,6 +143,33 @@ void CheckOrSetAttr(Map<String, ObjectRef>* attrs, const
String& name, const Str
/********** Target kind attribute updaters **********/
+/*!
+ * \brief Update the attributes in the CUDA target.
+ * \param attrs The original attributes
+ * \return The updated attributes
+ */
+Map<String, ObjectRef> UpdateCUDAAttrs(Map<String, ObjectRef> attrs) {
+ // Update -arch=sm_xx
+ int archInt;
+ if (attrs.count("arch")) {
+ // If -arch has been specified, validate the correctness
+ String archStr = Downcast<String>(attrs.at("arch"));
+ archInt = ExtractIntWithPrefix(archStr, "sm_");
+ ICHECK(archInt != -1) << "ValueError: CUDA target gets an invalid CUDA
arch: -arch=" << archStr;
+ } else {
+ // Use the compute version of the first CUDA GPU instead
+ TVMRetValue version;
+ if (!DetectDeviceFlag({kDLCUDA, 0}, runtime::kComputeVersion, &version)) {
+ LOG(WARNING) << "Unable to detect CUDA version, default to
\"-arch=sm_20\" instead";
+ archInt = 20;
Review comment:
Our of curiosity, why sm_20?
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