iotamudelta commented on a change in pull request #4342: Add workgroup size
attribute to AMDGPU functions in codegen
URL: https://github.com/apache/incubator-tvm/pull/4342#discussion_r346894323
##
File path: src/codegen/llvm/codegen_amdgpu.cc
##
@@ -36,13 +36,39 @@
namespace tvm {
namespace codegen {
+namespace {
+
+// calls the device api to get the max threads per block
+static inline int DetectROCMmaxThreadsPerBlock() {
+ TVMContext tvm_ctx;
+ tvm_ctx.device_type = kDLROCM;
+ tvm_ctx.device_id = 0;
+ tvm::runtime::DeviceAPI* api = tvm::runtime::DeviceAPI::Get(tvm_ctx, true);
+ if (api != nullptr) {
+TVMRetValue val;
+api->GetAttr(tvm_ctx, tvm::runtime::kExist, );
+if (val.operator int() == 1) {
+ tvm::runtime::DeviceAPI::Get(tvm_ctx)->
+GetAttr(tvm_ctx, tvm::runtime::kMaxThreadsPerBlock, );
+ return val.operator int();
+}
+ }
+ LOG(WARNING) << "Cannot get maximum number of threads for AMD codegen";
+ return 1024;
Review comment:
Since @t-vi pinged me: this is not entirely correct. Let me explain. Our LC
backend assumes, in the absence of explicit annotation, the max workgroup size
to be 256 and generates code for that. This impacts us differently than CUDA
since we finalize to ISA during compile time, as opposed to some IR that gets
finalized at runtime. So indeed, if a kernel is dispatched with more than 256
it may fail in interesting ways at runtime. There is internal discussion going
on to finally mitigate this behavior on the FE level. However, it is, as @t-vi
correctly asserted, easy to fix: explicit annotation with `__launch_bounds__()`
and the max workgroup size will fix this. Hence, just dropping back to 256 is
not the optimal solution, it is a workaround. The optimal solution is to figure
out best workgroup size for a given kernel and annotate explicitly. I would
hence recommend @t-vi to use the threads per block he finds performance optimal.
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
With regards,
Apache Git Services
