[ODLA/TRT] fix:dilation for conv/deconv

(cherry picked from commit 47cbb8c52b9bc01052521304140e2749e6b4b748)

Author: littlefatfat

ODLA/platforms/tensorrt/odla_tensorrt.cc

@@ -1869,13 +1869,15 @@ odla_value odla_Conv(odla_value input, odla_memory_layout input_layout,
                        static_cast<int>(kernel_dims.dims[3])},
       kernel_weights, bias_weights);
   conv->setStride(nvinfer1::DimsHW(strides[0], strides[1]));
+  conv->setDilation(nvinfer1::DimsHW(dilations[0], dilations[1]));
 #else
   auto conv = g_comp->network->addConvolutionNd(
       *input, oc,
       nvinfer1::DimsHW{static_cast<int>(kernel_dims.dims[2]),
                        static_cast<int>(kernel_dims.dims[3])},
       kernel_weights, bias_weights);
   conv->setStrideNd(nvinfer1::DimsHW(strides[0], strides[1]));
+  conv->setDilationNd(nvinfer1::DimsHW(dilations[0], dilations[1]));
 #endif
   conv->setPrePadding(nvinfer1::DimsHW(paddings_front[0], paddings_front[1]));
   conv->setPostPadding(nvinfer1::DimsHW(paddings_back[0], paddings_back[1]));
@@ -1916,13 +1918,15 @@ odla_value odla_DeConv(odla_value input, odla_memory_layout input_layout,
                        static_cast<int>(kernel_dims.dims[3])},
       kernel_weights, bias_weights);
   conv->setStride(nvinfer1::DimsHW(strides[0], strides[1]));
+  conv->setDilation(nvinfer1::DimsHW(dilations[0], dilations[1]));
 #else
   auto conv = g_comp->network->addDeconvolutionNd(
       *input, oc,
       nvinfer1::DimsHW{static_cast<int>(kernel_dims.dims[2]),
                        static_cast<int>(kernel_dims.dims[3])},
       kernel_weights, bias_weights);
   conv->setStrideNd(nvinfer1::DimsHW(strides[0], strides[1]));
+  conv->setDilationNd(nvinfer1::DimsHW(dilations[0], dilations[1]));
 #endif
 
   conv->setPrePadding(nvinfer1::DimsHW(paddings_front[0], paddings_front[1]));