message: feat(//core/conversion/converters/impl): logic implemented
diff: @@ -25,6 +25,12 @@ auto interpolate_registrations = RegisterNodeConversionPatterns()
  auto output_size = util::toDims(args[1].unwrapToIntList());
  TRTORCH_ASSERT(output_size.nbDims == 1, "aten::upsample_nearest1d input Tensor and output size dimension mismatch");
  +
  + auto resize_layer = ctx->net->addResize(*in);
  + TRTORCH_CHECK(resize_layer, "Unable to create interpolation (resizing) layer from node" << *n);
  +
  + resize_layer->setOutputDimensions(output_size);
  + resize_layer->setResizeMode(nvinfer1::ResizeMode::kNEAREST);
  } else {
  LOG_DEBUG("scale factor parameters not supported yet.");
  }
  @@ -35,6 +41,7 @@ auto interpolate_registrations = RegisterNodeConversionPatterns()
  "aten::upsample_nearest2d(Tensor self, int[2] output_size, float? scales_h=None, float? scales_w=None) -> (Tensor)",
  [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
  // std::raise(SIGINT);
  +
  TRTORCH_ASSERT(args[0].IValue()->isTensor(), "Input expected to be of type Tensor");
  auto in = args[0].ITensor();
  @@ -46,12 +53,11 @@ auto interpolate_registrations = RegisterNodeConversionPatterns()
  TRTORCH_ASSERT( (output_size.nbDims == 1 || output_size.nbDims == 2), "aten::upsample_nearest2d input Tensor and output size dimension mismatch");
  - nvinfer1::ILayer* new_layer;
  -
  -
  -
  - //util::toDims(args[1].unwrapToIntList());
  + auto resize_layer = ctx->net->addResize(*in);
  + TRTORCH_CHECK(resize_layer, "Unable to create interpolation (resizing) layer from node" << *n);
  + resize_layer->setOutputDimensions(output_size);
  + resize_layer->setResizeMode(nvinfer1::ResizeMode::kNEAREST);
  } else {
  LOG_DEBUG("scale factor parameters not supported yet.");
  }
  @@ -72,7 +78,11 @@ auto interpolate_registrations = RegisterNodeConversionPatterns()
  TRTORCH_ASSERT( (output_size.nbDims == 1 || output_size.nbDims == 3), "aten::upsample_nearest3d input Tensor and output size dimension mismatch");
  + auto resize_layer = ctx->net->addResize(*in);
  + TRTORCH_CHECK(resize_layer, "Unable to create interpolation (resizing) layer from node" << *n);
  + resize_layer->setOutputDimensions(output_size);
  + resize_layer->setResizeMode(nvinfer1::ResizeMode::kNEAREST);
  } else {
  LOG_DEBUG("scale factor parameters not supported yet.");
  }
  