add patch file to disable elu converter in core library

Signed-off-by: Bo Wang <[email protected]>

Author: bowang007

examples/custom_converters/README.md

@@ -12,6 +12,13 @@ Converter for aten::elu requested, but no such converter was found.
 If you need a converter for this operator, you can try implementing one yourself
 or request a converter: https://www.github.com/NVIDIA/TRTorch/issues
 
+Note that ELU converter is now supported in our library. If you want to get above
+error and run the example in this document, you can either:
+1. get the source code, go to root directory, then run: <br />
+  `git apply ./examples/custom_converters/elu_converter/disable_core_elu.patch`
+2. If you are using a pre-downloaded release of TRTorch, you need to make sure that 
+it doesn't support elu operator in default. (TRTorch <= v0.1.0)
+   
 ## Writing Converter in C++
 We can register a converter for this operator in our application. You can find more 
 information on all the details of writing converters in the contributors documentation

examples/custom_converters/elu_converter/disable_core_elu.patch

@@ -0,0 +1,26 @@
+diff --git a/core/conversion/converters/impl/activation.cpp b/core/conversion/converters/impl/activation.cpp
+index 64edeed..5279413 100644
+--- a/core/conversion/converters/impl/activation.cpp
++++ b/core/conversion/converters/impl/activation.cpp
+@@ -152,21 +152,6 @@ auto acthardtanh TRTORCH_UNUSED =
+                     out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], out_tensor);
+                     LOG_DEBUG("Output shape: " << out_tensor->getDimensions());
+                     return true;
+-                  }})
+-        .pattern({"aten::elu(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -> (Tensor)",
+-                  [](ConversionCtx* ctx, const torch::jit::Node* n, args& args) -> bool {
+-                    auto in = args[0].ITensorOrFreeze(ctx);
+-                    auto alpha = args[1].unwrapToDouble();
+-
+-                    auto new_layer = ctx->net->addActivation(*in, nvinfer1::ActivationType::kELU);
+-                    TRTORCH_CHECK(new_layer, "Unable to create layer for aten::elu");
+-                    new_layer->setAlpha(alpha);
+-
+-                    new_layer->setName(trtorch::core::util::node_info(n).c_str());
+-
+-                    auto out_tensor = ctx->AssociateValueAndTensor(n->outputs()[0], new_layer->getOutput(0));
+-                    LOG_DEBUG("Output shape: " << out_tensor->getDimensions());
+-                    return true;
+                   }});
+ 
+ } // namespace