Formatting

src/targets/gpu/device/logsoftmax.cpp

@@ -11,10 +11,7 @@ inline namespace MIGRAPHX_INLINE_NS {
 namespace gpu {
 namespace device {
 
-argument logsoftmax(hipStream_t stream,
-                    argument result,
-                    argument arg,
-                    int axis)
+argument logsoftmax(hipStream_t stream, argument result, argument arg, int axis)
 {
 
     auto lens         = result.get_shape().lens();
@@ -40,7 +37,7 @@ argument logsoftmax(hipStream_t stream,
 
             for(std::size_t j = 0; j < num_in_batch; ++j)
             {
-                data_idx[axis]  = j;
+                data_idx[axis]   = j;
                 output[data_idx] = input[data_idx] - batch_max;
             }
 

src/targets/gpu/include/migraphx/gpu/device/logsoftmax.hpp

@@ -10,10 +10,7 @@ inline namespace MIGRAPHX_INLINE_NS {
 namespace gpu {
 namespace device {
 
-argument logsoftmax(hipStream_t stream,
-                    argument result,
-                    argument arg,
-                    int axis);
+argument logsoftmax(hipStream_t stream, argument result, argument arg, int axis);
 
 } // namespace device
 } // namespace gpu

src/targets/gpu/logsoftmax.cpp

@@ -15,9 +15,8 @@ shape hip_logsoftmax::compute_shape(const std::vector<shape>& inputs) const
     return op.compute_shape({inputs.at(0)});
 }
 
-argument hip_logsoftmax::compute(context& ctx,
-                                 const shape&,
-                                 const std::vector<argument>& args) const
+argument
+hip_logsoftmax::compute(context& ctx, const shape&, const std::vector<argument>& args) const
 {
     return device::logsoftmax(ctx.get_stream().get(), args[1], args[0], op.axis);
 }