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new 3b49f7973d [FIX] Minor Compilation Warning Fixes (#13794)
3b49f7973d is described below
commit 3b49f7973d497a3087004c3487c3e89b8d9e6c2f
Author: Siyuan Feng <[email protected]>
AuthorDate: Tue Jan 17 20:24:30 2023 +0800
[FIX] Minor Compilation Warning Fixes (#13794)
This PR fixes some warnings from the latest clang compiler.
---
include/tvm/tir/function.h | 8 ++++----
src/tir/analysis/control_flow_graph.h | 7 ++++---
2 files changed, 8 insertions(+), 7 deletions(-)
diff --git a/include/tvm/tir/function.h b/include/tvm/tir/function.h
index cf92f97360..9f7c0fa16b 100644
--- a/include/tvm/tir/function.h
+++ b/include/tvm/tir/function.h
@@ -224,14 +224,14 @@ class TensorIntrin : public ObjectRef {
TVM_DEFINE_OBJECT_REF_METHODS(TensorIntrin, ObjectRef, TensorIntrinNode)
};
-/*
+/*!
* \brief Specialize parameters of PrimFunc.
* \param func The PrimFunc to be specialized.
* \param param_map The mapping from function params to the instance.
* \return The new function with parameter specialized.
* \note We can define a Meta TIR function with symbolic shape:
*
- * \code
+ * \code{.py}
* @T.prim_func
* def mem_copy(a: T.handle, b: T.handle, m: T.int32, n: T.int32) -> None:
* A = T.match_buffer(a, (m, n), "float32")
@@ -244,14 +244,14 @@ class TensorIntrin : public ObjectRef {
*
* Then we can make it specialized with given shapes or buffers.
*
- * \code
+ * \code{.py}
* a, _, m, n = mem_copy.params
* func = mem_copy.specialize({a: tir.decl_buffer((16, 16))})
* # or
* func = mem_copy.specialize({n: 16, m: 16})
* \endcode
*
- * \code {.language-id}
+ * \code{.py}
* @T.prim_func
* def mem_copy_16_16(a: T.handle, b: T.handle) -> None:
* A = T.match_buffer(a, (16, 16), "float32")
diff --git a/src/tir/analysis/control_flow_graph.h
b/src/tir/analysis/control_flow_graph.h
index 590392cf65..00a6b68ff9 100644
--- a/src/tir/analysis/control_flow_graph.h
+++ b/src/tir/analysis/control_flow_graph.h
@@ -292,7 +292,8 @@ class BufferState {
std::vector<BufferTouch> constraints_;
};
-/*! \brief Represents the flow of control through a `tir::Stmt`
+/*!
+ * \brief Represents the flow of control through a `tir::Stmt`
*
* This class contains an internal representation of the possible
* control flow that may occur during execution of a `tir::Stmt`. It
@@ -312,7 +313,7 @@ class BufferState {
*
* For example, consider the following PrimFunc
*
- * ```python
+ * \code{.py}
* @T.prim_func
* def func(T.Buffer[16, "float32"]):
* for i in T.serial(16):
@@ -320,7 +321,7 @@ class BufferState {
* B[i] = i
* else:
* B[i] = i-8
- * ```
+ * \endcode
*
* The control flow graph would have eight control blocks.
*
