Ubospica commented on code in PR #16039:
URL: https://github.com/apache/tvm/pull/16039#discussion_r1384207525
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src/target/target_kind.cc:
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@@ -334,6 +334,7 @@ TVM_REGISTER_TARGET_KIND("cuda", kDLCUDA)
.add_attr_option<Integer>("max_threads_per_block")
.add_attr_option<Integer>("thread_warp_size", Integer(32))
.add_attr_option<Integer>("registers_per_block")
+ .add_attr_option<Integer>("l2_cache_size_bytes")
Review Comment:
Yeah I agree with that. It's only I am following the previously defined(but
not implemented attribute) attribute in target, see
https://github.com/apache/tvm/blob/main/python/tvm/target/target.py#L272
And the same attribute is defined and implemented for devices. See
https://github.com/apache/tvm/blob/main/python/tvm/_ffi/runtime_ctypes.py#L492
The difference is that for targets, we will hardcoded this attibute (b/c we
may build a model on devices different from the provided target), and for
devices, we will automatically detect it from real devices.
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