formatting

src/targets/gpu/convolution.cpp

@@ -144,8 +144,8 @@ shape miopen_convolution::find(context& ctx, const shape& output_shape, std::vec
     if(status != miopenStatusSuccess)
         MIGRAPHX_THROW("MIOpen Convolution: get solution failed");
 
-    solution_id = solutions.front().solution_id;
-    algo = solutions.front().algorithm;
+    solution_id    = solutions.front().solution_id;
+    algo           = solutions.front().algorithm;
     workspace_size = solutions.front().workspace_size;
 
     return shape{shape::int8_type, {workspace_size}};

src/targets/gpu/deconvolution.cpp

@@ -144,8 +144,8 @@ shape miopen_deconvolution::find(context& ctx, const shape& output_shape, std::v
     if(status != miopenStatusSuccess)
         MIGRAPHX_THROW("MIOpen Deconvolution: get solution failed");
 
-    solution_id = solutions.front().solution_id;
-    algo = solutions.front().algorithm;
+    solution_id    = solutions.front().solution_id;
+    algo           = solutions.front().algorithm;
     workspace_size = solutions.front().workspace_size;
 
     return shape{shape::int8_type, {workspace_size}};

src/targets/gpu/fuse_ops.cpp

@@ -220,8 +220,8 @@ MIGRAPHX_PRED_MATCHER(fusable_conv, instruction_ref ins)
 
     auto op = conv.op;
     // Dont fuse winograd for non-3x3s since there is no fused windograd for those configs
-    if(conv.algo == miopenConvolutionAlgoWinograd and wei.lens()[2] != 3 and
-       wei.lens()[3] != 3 and contains({{1, 1}}, op.stride))
+    if(conv.algo == miopenConvolutionAlgoWinograd and wei.lens()[2] != 3 and wei.lens()[3] != 3 and
+       contains({{1, 1}}, op.stride))
         return false;
     return contains({{0, 0, 0, 0}, {1, 1, 1, 1}, {2, 2, 2, 2}}, op.padding) and
            contains({{0, 0}, {1, 1}}, op.stride) and contains({{1, 1}}, op.dilation);

src/targets/gpu/quant_convolution.cpp

@@ -139,7 +139,7 @@ shape miopen_quant_convolution::find(context& ctx,
 
     solution_id = solutions.front().solution_id;
 
-    algo = solutions.front().algorithm;
+    algo           = solutions.front().algorithm;
     workspace_size = solutions.front().workspace_size;
 
     return shape{shape::int8_type, {workspace_size}};