clang format

src/targets/gpu/device/softmax.cpp

@@ -17,9 +17,9 @@ argument softmax(hipStream_t stream,
                  std::vector<migraphx::argument> args,
                  int axis)
 {
-    auto lens              = output_shape.lens();
-    auto batch_lens = lens;
-    size_t n_dims = lens[axis];
+    auto lens        = output_shape.lens();
+    auto batch_lens  = lens;
+    size_t n_dims    = lens[axis];
     batch_lens[axis] = 1;
     migraphx::shape batch_shape{shape::int32_type, batch_lens};
 
@@ -33,26 +33,27 @@ argument softmax(hipStream_t stream,
             // each thread is for one item in the batch
             gs_launch(stream, batch_shape.elements())([=](auto i) {
                 auto batch_idx = desc_batch.multi(i);
-                auto data_idx = batch_idx;
+                auto data_idx  = batch_idx;
                 // get max
                 auto batch_max = input_ptr[desc_data.linear(batch_idx)];
                 for(std::size_t j = 1; j < n_dims; ++j)
                 {
                     data_idx[axis] = j;
-                    batch_max = std::max(to_hip_type(batch_max), to_hip_type(input_ptr[desc_data.linear(data_idx)]));
+                    batch_max      = std::max(to_hip_type(batch_max),
+                                         to_hip_type(input_ptr[desc_data.linear(data_idx)]));
                 }
 
                 for(std::size_t j = 0; j < n_dims; ++j)
                 {
-                    data_idx[axis] = j;
-                    auto idx = desc_data.linear(data_idx);
+                    data_idx[axis]  = j;
+                    auto idx        = desc_data.linear(data_idx);
                     output_ptr[idx] = input_ptr[idx] - batch_max;
                 }
 
                 for(std::size_t j = 0; j < n_dims; ++j)
                 {
-                    data_idx[axis] = j;
-                    auto idx = desc_data.linear(data_idx);
+                    data_idx[axis]  = j;
+                    auto idx        = desc_data.linear(data_idx);
                     output_ptr[idx] = exp(to_hip_type(output_ptr[idx]));
                 }
 
@@ -65,8 +66,8 @@ argument softmax(hipStream_t stream,
 
                 for(std::size_t j = 0; j < n_dims; ++j)
                 {
-                    data_idx[axis] = j;
-                    auto idx = desc_data.linear(data_idx);
+                    data_idx[axis]  = j;
+                    auto idx        = desc_data.linear(data_idx);
                     output_ptr[idx] = output_ptr[idx] / batch_sum;
                 }
             });