formatting

src/onnx/parse_convolution.cpp

@@ -24,12 +24,12 @@ struct parse_convolution : op_parser<parse_convolution>
                           onnx_parser::node_info info,
                           std::vector<instruction_ref> args) const
     {
-        auto op      = make_op(opd.op_name);
-        auto values  = op.to_value();
-        auto l0      = args[0];
-        auto weights = args[1];
-        auto  l0_shape = l0->get_shape();
-        auto in_lens = l0_shape.max_lens();
+        auto op       = make_op(opd.op_name);
+        auto values   = op.to_value();
+        auto l0       = args[0];
+        auto weights  = args[1];
+        auto l0_shape = l0->get_shape();
+        auto in_lens  = l0_shape.max_lens();
         assert(in_lens.size() > 2);
         auto kdims = in_lens.size() - 2;
 

test/onnx/gen_onnx.py

@@ -827,6 +827,7 @@ def conv_bn_relu_maxpool_test():
 
     return ([node0, node1, node2, node3], [x, y, z, m, n, k, l], [out])
 
+
 @onnx_test
 def conv_dynamic_batch_test():
     x = helper.make_tensor_value_info('0', TensorProto.FLOAT, [None, 3, 5, 5])
@@ -840,7 +841,8 @@ def conv_dynamic_batch_test():
 
 @onnx_test
 def conv_dynamic_img_test():
-    x = helper.make_tensor_value_info('0', TensorProto.FLOAT, [1, 3, None, None])
+    x = helper.make_tensor_value_info('0', TensorProto.FLOAT,
+                                      [1, 3, None, None])
     y = helper.make_tensor_value_info('1', TensorProto.FLOAT, [1, 3, 3, 3])
     out = helper.make_tensor_value_info('2', TensorProto.FLOAT,
                                         [1, 1, None, None])

test/onnx/onnx_test.cpp

@@ -777,8 +777,9 @@ TEST_CASE(conv_dynamic_batch_test)
 {
     migraphx::program p;
     auto* mm = p.get_main_module();
-    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {{1, 6, 0}, {3, 3, 0}, {5, 5, 0}, {5, 5, 0}}});
-    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
+    auto l0  = mm->add_parameter(
+        "0", {migraphx::shape::float_type, {{1, 6, 0}, {3, 3, 0}, {5, 5, 0}, {5, 5, 0}}});
+    auto l1 = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
     auto c0 = mm->add_instruction(
         migraphx::make_op("convolution",
                           {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),
@@ -797,8 +798,9 @@ TEST_CASE(conv_dynamic_img_test)
 {
     migraphx::program p;
     auto* mm = p.get_main_module();
-    auto l0  = mm->add_parameter("0", {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {5, 10, 0}, {5, 10, 0}}});
-    auto l1  = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
+    auto l0  = mm->add_parameter(
+        "0", {migraphx::shape::float_type, {{1, 1, 0}, {3, 3, 0}, {5, 10, 0}, {5, 10, 0}}});
+    auto l1 = mm->add_parameter("1", {migraphx::shape::float_type, {1, 3, 3, 3}});
     auto c0 = mm->add_instruction(
         migraphx::make_op("convolution",
                           {{"padding", {0, 0}}, {"stride", {1, 1}}, {"dilation", {1, 1}}}),