Formatting

src/include/migraph/instruction.hpp

@@ -99,10 +99,7 @@ struct instruction
                });
     }
 
-    shape get_shape() const
-    {
-        return result;
-    }
+    shape get_shape() const { return result; }
 
     friend bool operator==(instruction_ref ref, const instruction& i) { return i == ref; }
 

src/targets/gpu/lowering.cpp

@@ -386,19 +386,19 @@ struct miopen_apply
     // Not sure how to write this. Review and fix required
     void apply_batch_norm_inference(instruction_ref ins)
     {
-        auto&& op   = any_cast<batch_norm_inference>(ins->op);
-        auto output = insert_allocation(ins, ins->result);
+        auto&& op       = any_cast<batch_norm_inference>(ins->op);
+        auto output     = insert_allocation(ins, ins->result);
         shape old_shape = ins->arguments.at(1)->get_shape();
-        std::vector<int64_t> new_shape{1,static_cast<int64_t>(old_shape.elements()),1,1};
-        auto arg1 = prog->insert_instruction(ins, migraph::reshape{new_shape}, 
-                      ins->arguments.at(1));
-        auto arg2 = prog->insert_instruction(ins, migraph::reshape{new_shape}, 
-                      ins->arguments.at(2));
-        auto arg3 = prog->insert_instruction(ins, migraph::reshape{new_shape}, 
-                      ins->arguments.at(3));
-        auto arg4 = prog->insert_instruction(ins, migraph::reshape{new_shape}, 
-                      ins->arguments.at(4));
-        prog->replace_instruction(ins, 
+        std::vector<int64_t> new_shape{1, static_cast<int64_t>(old_shape.elements()), 1, 1};
+        auto arg1 =
+            prog->insert_instruction(ins, migraph::reshape{new_shape}, ins->arguments.at(1));
+        auto arg2 =
+            prog->insert_instruction(ins, migraph::reshape{new_shape}, ins->arguments.at(2));
+        auto arg3 =
+            prog->insert_instruction(ins, migraph::reshape{new_shape}, ins->arguments.at(3));
+        auto arg4 =
+            prog->insert_instruction(ins, migraph::reshape{new_shape}, ins->arguments.at(4));
+        prog->replace_instruction(ins,
                                   miopen_batch_norm_inference{op},
                                   ins->arguments.at(0),
                                   arg1,

test/gpu/miopen.cpp

@@ -227,7 +227,7 @@ struct test_batchnorm_inference
         migraph::program p;
 
         migraph::shape s{migraph::shape::float_type, {batches, channels, height, width}};
-        migraph::shape vars{migraph::shape::float_type, {1,channels,1,1}};
+        migraph::shape vars{migraph::shape::float_type, {1, channels, 1, 1}};
         auto x        = p.add_parameter("x", s);
         auto mean     = p.add_parameter("mean", vars);
         auto variance = p.add_parameter("variance", vars);
@@ -260,7 +260,7 @@ void batch_norm_inference_test()
     const float output_val = scale_val * (x_val - mean_val) / (std::sqrt(variance_val)) + bias_val;
 
     migraph::shape s{migraph::shape::float_type, {batches, channels, height, width}};
-    migraph::shape vars{migraph::shape::float_type, {1,channels,1,1}};
+    migraph::shape vars{migraph::shape::float_type, {1, channels, 1, 1}};
     std::vector<float> x_data(width * height * channels * batches);
     std::vector<float> scale_data(channels);
     std::vector<float> bias_data(channels);