feat: Update Pytorch version to 1.11

Signed-off-by: Dheeraj Peri <[email protected]>

Author: peri044

README.md

@@ -111,7 +111,7 @@ torch.jit.save(trt_ts_module, "trt_torchscript_module.ts") # save the TRT embedd
 These are the following dependencies used to verify the testcases. Torch-TensorRT can work with other versions, but the tests are not guaranteed to pass.
 
 - Bazel 4.2.1
-- Libtorch 1.10.0 (built with CUDA 11.3)
+- Libtorch 1.11.0 (built with CUDA 11.3)
 - CUDA 11.3 (10.2 on Jetson)
 - cuDNN 8.2.1
 - TensorRT 8.2.4.2 (TensorRT 8.2.1 on Jetson)

WORKSPACE

@@ -56,17 +56,17 @@ new_local_repository(
 http_archive(
     name = "libtorch",
     build_file = "@//third_party/libtorch:BUILD",
-    sha256 = "190e963e739d5f7c2dcf94b3994de8fcd335706a4ebb333812ea7d8c841beb06",
+    sha256 = "8d9e829ce9478db4f35bdb7943308cf02e8a2f58cf9bb10f742462c1d57bf287",
     strip_prefix = "libtorch",
-    urls = ["https://download.pytorch.org/libtorch/cu113/libtorch-cxx11-abi-shared-with-deps-1.10.0%2Bcu113.zip"],
+    urls = ["https://download.pytorch.org/libtorch/cu113/libtorch-cxx11-abi-shared-with-deps-1.11.0%2Bcu113.zip"],
 )
 
 http_archive(
     name = "libtorch_pre_cxx11_abi",
     build_file = "@//third_party/libtorch:BUILD",
-    sha256 = "0996a6a4ea8bbc1137b4fb0476eeca25b5efd8ed38955218dec1b73929090053",
+    sha256 = "90159ecce3ff451f3ef3f657493b6c7c96759c3b74bbd70c1695f2ea2f81e1ad",
     strip_prefix = "libtorch",
-    urls = ["https://download.pytorch.org/libtorch/cu113/libtorch-shared-with-deps-1.10.0%2Bcu113.zip"],
+    urls = ["https://download.pytorch.org/libtorch/cu113/libtorch-shared-with-deps-1.11.0%2Bcu113.zip"],
 )
 
 # Download these tarballs manually from the NVIDIA website

core/conversion/evaluators/eval_util.cpp

@@ -1,3 +1,4 @@
+#include <ATen/ATen.h>
 #include "ATen/InitialTensorOptions.h"
 #include "ATen/core/List.h"
 #include "ATen/core/functional.h"
@@ -238,7 +239,7 @@ at::Tensor createTensorFromList(
   /// Gets shape of tensor to be created
   auto sizes = compute_sizes(data);
   checkListInputType(elem_type, sizes.size() == 1 && sizes[0] == 0);
-  at::ScalarType initial_scalar_type = c10::scalarTypeFromJitType(elem_type);
+  at::ScalarType initial_scalar_type = c10::scalarTypeFromJitType(*elem_type);
   if (initial_scalar_type == at::ScalarType::Double) {
     initial_scalar_type = at::typeMetaToScalarType(c10::get_default_dtype());
   }

core/lowering/passes/linear_to_addmm.cpp

@@ -7,9 +7,9 @@
 #include "torch/csrc/jit/passes/guard_elimination.h"
 #include "torch/csrc/jit/passes/peephole.h"
 #include "torch/csrc/jit/runtime/graph_executor.h"
-
-#include "core/util/prelude.h"
+#include "torch/csrc/jit/api/function_impl.h"
 #include "torch/csrc/jit/passes/subgraph_rewrite.h"
+#include "core/util/prelude.h"
 
 namespace torch_tensorrt {
 namespace core {
@@ -34,7 +34,7 @@ void replaceLinearWithBiasNonePattern(std::shared_ptr<torch::jit::Graph> graph)
         continue;
       } else {
         torch::jit::WithInsertPoint guard(*it);
-        std::shared_ptr<torch::jit::Graph> d_graph = decompose_funcs.get_function("linear").graph();
+        std::shared_ptr<torch::jit::Graph> d_graph = toGraphFunction(decompose_funcs.get_function("linear")).graph();;
         torch::jit::Value* new_output = insertGraph(*it->owningGraph(), *d_graph, it->inputs()).at(0);
         new_output->setType(it->output()->type());
         it->output()->replaceAllUsesWith(new_output);

core/partitioning/shape_analysis.cpp

@@ -1,3 +1,4 @@
+#include <ATen/ATen.h>
 #include "core/partitioning/shape_analysis.h"
 #include "core/util/prelude.h"
 #include "torch/csrc/jit/api/module.h"

py/requirements.txt

@@ -1,3 +1,3 @@
 -f https://download.pytorch.org/whl/torch_stable.html
-torch==1.10.0+cu113
+torch==1.11.0+cu113
 pybind11==2.6.2

tests/cpp/test_modules_as_engines.cpp

@@ -63,7 +63,7 @@ INSTANTIATE_TEST_SUITE_P(
         PathAndInSize({"tests/modules/resnet18_scripted.jit.pt", {{1, 3, 224, 224}}, 2e-5}),
         PathAndInSize({"tests/modules/resnet50_scripted.jit.pt", {{1, 3, 224, 224}}, 2e-5}),
         PathAndInSize({"tests/modules/mobilenet_v2_scripted.jit.pt", {{1, 3, 224, 224}}, 2e-5}),
-        PathAndInSize({"tests/modules/efficientnet_b0_scripted.jit.pt", {{1, 3, 224, 224}}, 2e-5}),
+        PathAndInSize({"tests/modules/efficientnet_b0_scripted.jit.pt", {{1, 3, 224, 224}}, 1e-4}),
         PathAndInSize({"tests/modules/vit_scripted.jit.pt", {{1, 3, 224, 224}}, 8e-2})));
 
 #endif

tests/modules/requirements.txt

@@ -1,3 +1,3 @@
 -f https://download.pytorch.org/whl/torch_stable.html
 timm==v0.4.12
-torch==1.10.0+cu113
+torch==1.11.0+cu113

tests/py/requirements.txt

@@ -1,2 +1,2 @@
-torchvision==0.11.1+cu113
+torchvision==0.12.0+cu113
 -f https://download.pytorch.org/whl/torch_stable.html

tests/util/util.h

@@ -2,7 +2,7 @@
 
 #include <string>
 #include <vector>
-
+#include <ATen/ATen.h>
 #include "ATen/Tensor.h"
 #include "core/ir/ir.h"
 #include "core/util/prelude.h"