7.1.1 Generated file update (#4431)

Author: causten

CMakeLists.txt

@@ -168,6 +168,7 @@ rocm_enable_clang_tidy(
         -bugprone-easily-swappable-parameters
         -bugprone-implicit-widening-of-multiplication-result
         -bugprone-macro-parentheses
+        -bugprone-nondeterministic-pointer-iteration-order
         -bugprone-return-const-ref-from-parameter
         -bugprone-signed-char-misuse
         -bugprone-unchecked-optional-access

Dockerfile

@@ -46,6 +46,8 @@ RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --allow-
     libomp-dev \
     rocblas \
     hipfft \
+    hipsolver \
+    rccl \
     rocthrust \
     rocrand \
     hipsparse \
@@ -67,7 +69,7 @@ RUN pip3 install https://repo.radeon.com/rocm/manylinux/rocm-rel-7.1/torch-2.6.0
                  https://repo.radeon.com/rocm/manylinux/rocm-rel-7.1/torchvision-0.21.0%2Brocm7.1.0.git4040d51f-cp310-cp310-linux_x86_64.whl\
                  https://repo.radeon.com/rocm/manylinux/rocm-rel-7.1/triton-3.2.0%2Brocm7.1.0.git20943800-cp310-cp310-linux_x86_64.whl
 
-# add this for roctracer dependancies
+# add this for roctracer dependencies
 RUN pip3 install CppHeaderParser
 
 # Workaround broken rocm packages

src/include/migraphx/operation.hpp

@@ -130,9 +130,8 @@ auto operator==(const T& x, const U& y) -> decltype(x.name() == y.name())
 } // namespace operation_operators
 
 template <class T>
-auto compute_shape_op(rank<3>,
-                      const T& x,
-                      const std::vector<shape>& inputs) -> decltype(x.compute_shape(inputs))
+auto compute_shape_op(rank<3>, const T& x, const std::vector<shape>& inputs)
+    -> decltype(x.compute_shape(inputs))
 {
     return x.compute_shape(inputs);
 }
@@ -149,9 +148,8 @@ auto compute_shape_op(rank<2>, const T& x, const std::vector<shape>& inputs)
 }
 
 template <class T>
-auto compute_shape_op(rank<1>,
-                      const T& x,
-                      const std::vector<shape>& inputs) -> decltype(x.compute_shape(inputs, {}))
+auto compute_shape_op(rank<1>, const T& x, const std::vector<shape>& inputs)
+    -> decltype(x.compute_shape(inputs, {}))
 {
     return x.compute_shape(inputs, {});
 }
@@ -388,9 +386,8 @@ auto is_context_free_op(rank<0>, const T&, const shape&, const std::vector<argum
     -> std::false_type;
 
 template <class T>
-auto is_context_free_op(const T& x)
-    -> decltype(is_context_free_op(
-        rank<1>{}, x, std::declval<const shape&>(), std::declval<std::vector<argument>>()))
+auto is_context_free_op(const T& x) -> decltype(is_context_free_op(
+    rank<1>{}, x, std::declval<const shape&>(), std::declval<std::vector<argument>>()))
 {
     return {};
 }
@@ -1430,8 +1427,8 @@ inline shape compute_shape(const operation& op, const std::vector<shape>& inputs
 }
 
 template <class T>
-inline auto compute_shape(const T& op,
-                          const std::vector<shape>& inputs) -> decltype(op.compute_shape(inputs))
+inline auto compute_shape(const T& op, const std::vector<shape>& inputs)
+    -> decltype(op.compute_shape(inputs))
 {
     return op.compute_shape(inputs);
 }

src/include/migraphx/pass.hpp

@@ -62,9 +62,8 @@ MIGRAPHX_EXPORT module& get_module(module_pass_manager& mpm);
 namespace detail {
 
 template <class T>
-auto module_pass_manager_apply(rank<1>,
-                               const T& x,
-                               module_pass_manager& mpm) -> decltype(x.apply(get_module(mpm)))
+auto module_pass_manager_apply(rank<1>, const T& x, module_pass_manager& mpm)
+    -> decltype(x.apply(get_module(mpm)))
 {
     return x.apply(get_module(mpm));
 }