Formatting

src/targets/gpu/hip.cpp

@@ -11,10 +11,7 @@ namespace gpu {
 
 using hip_ptr = MIGRAPH_MANAGE_PTR(void, hipFree);
 
-std::string hip_error(int error)
-{
-    return hipGetErrorString(static_cast<hipError_t>(error));
-}
+std::string hip_error(int error) { return hipGetErrorString(static_cast<hipError_t>(error)); }
 
 hip_ptr allocate_gpu(std::size_t sz)
 {
@@ -54,7 +51,7 @@ hip_ptr write_to_gpu(const void* x, std::size_t sz)
 
 argument allocate_gpu(shape s)
 {
-    auto p = share(allocate_gpu(s.bytes()+1));
+    auto p = share(allocate_gpu(s.bytes() + 1));
     return {s, [p]() mutable { return reinterpret_cast<char*>(p.get()); }};
 }
 

src/targets/gpu/lowering.cpp

@@ -102,7 +102,8 @@ struct miopen_convolution
         auto y_desc = make_tensor(output_shape);
 
         std::size_t workspace_size = 0;
-        miopenConvolutionForwardGetWorkSpaceSize(ctx.handle.get(), x_desc.get(), w_desc.get(), cd.get(), y_desc.get(), &workspace_size);
+        miopenConvolutionForwardGetWorkSpaceSize(
+            ctx.handle.get(), x_desc.get(), w_desc.get(), cd.get(), y_desc.get(), &workspace_size);
         workspace_shape = shape{shape::int8_type, {workspace_size}};
 
         auto x         = to_gpu(generate_argument(inputs[0]->get_shape()));
@@ -360,7 +361,8 @@ struct miopen_apply
         auto workspace = insert_allocation(ins, ws);
         auto output    = insert_allocation(ins, ins->result);
 
-        prog->replace_instruction(ins, conv, ins->arguments.at(0), ins->arguments.at(1), workspace, output);
+        prog->replace_instruction(
+            ins, conv, ins->arguments.at(0), ins->arguments.at(1), workspace, output);
     }
 
     void apply_pooling(instruction_ref ins)