Fix fromIntArrayRef call

build_tools/python_deploy/build_linux_packages.sh

@@ -193,7 +193,7 @@ function build_in_tree() {
       -DLLVM_EXTERNAL_TORCH_MLIR_DIALECTS_SOURCE_DIR="/main_checkout/torch-mlir/externals/llvm-external-projects/torch-mlir-dialects" \
       -DLLVM_TARGETS_TO_BUILD=host \
       -DMLIR_ENABLE_BINDINGS_PYTHON=ON \
-      -DTORCH_MLIR_ENABLE_LTC=OFF \
+      -DTORCH_MLIR_ENABLE_LTC=ON \
       -DTORCH_MLIR_USE_INSTALLED_PYTORCH="$torch_from_bin" \
       -DTORCH_MLIR_SRC_PYTORCH_REPO=${TORCH_MLIR_SRC_PYTORCH_REPO} \
       -DTORCH_MLIR_SRC_PYTORCH_BRANCH=${TORCH_MLIR_SRC_PYTORCH_BRANCH} \
@@ -256,9 +256,8 @@ function test_in_tree() {
   echo ":::: Run TOSA e2e integration tests"
   python -m e2e_testing.main --config=tosa -v
 
-  # XXX: Uncomment once LTC is enabled again.
-  # echo ":::: Run Lazy Tensor Core e2e integration tests"
-  # python -m e2e_testing.main --config=lazy_tensor_core -v
+  echo ":::: Run Lazy Tensor Core e2e integration tests"
+  python -m e2e_testing.main --config=lazy_tensor_core -v
 }
 
 function setup_venv() {
@@ -307,7 +306,7 @@ function build_out_of_tree() {
       -DLLVM_DIR="/main_checkout/torch-mlir/llvm-build/lib/cmake/llvm/" \
       -DMLIR_DIR="/main_checkout/torch-mlir/llvm-build/lib/cmake/mlir/" \
       -DMLIR_ENABLE_BINDINGS_PYTHON=OFF \
-      -DTORCH_MLIR_ENABLE_LTC=OFF \
+      -DTORCH_MLIR_ENABLE_LTC=ON \
       -DTORCH_MLIR_USE_INSTALLED_PYTORCH="$torch_from_bin" \
       -DTORCH_MLIR_SRC_PYTORCH_REPO=${TORCH_MLIR_SRC_PYTORCH_REPO} \
       -DTORCH_MLIR_SRC_PYTORCH_BRANCH=${TORCH_MLIR_SRC_PYTORCH_BRANCH} \

e2e_testing/main.py

@@ -15,8 +15,7 @@
 
 # Available test configs.
 from torch_mlir_e2e_test.configs import (
-    # XXX: Uncomment once LTC is enabled again.
-    # LazyTensorCoreTestConfig,
+    LazyTensorCoreTestConfig,
     LinalgOnTensorsBackendTestConfig,
     MhloBackendTestConfig,
     NativeTorchTestConfig,

python/torch_mlir/csrc/base_lazy_backend/mlir_native_functions.cpp

@@ -336,7 +336,7 @@ at::Tensor LazyNativeFunctions::empty_strided(
     c10::optional<at::Device> device, c10::optional<bool> pin_memory) {
   TORCH_LAZY_FN_COUNTER("lazy::");
   at::Tensor t = empty_symint(
-    c10::fromIntArrayRef(size),
+    c10::fromIntArrayRefSlow(size),
     dtype, layout, device, pin_memory, c10::nullopt);
   return t.as_strided(size, stride, /*storage_offset=*/0);
 }
@@ -356,7 +356,7 @@ LazyNativeFunctions::fill_(at::Tensor& self, const at::Scalar& value) {
 at::Tensor LazyNativeFunctions::_unsafe_view(
     const at::Tensor& self, at::IntArrayRef size) {
   TORCH_LAZY_FN_COUNTER("lazy::");
-  return LazyNativeFunctions::view_copy_symint(self, c10::fromIntArrayRef(size));
+  return LazyNativeFunctions::view_copy_symint(self, c10::fromIntArrayRefSlow(size));
 }
 
 // This is needed by the torch.tensor constructor.

python/torch_mlir_e2e_test/configs/__init__.py

@@ -3,9 +3,7 @@
 # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 # Also available under a BSD-style license. See LICENSE.
 
-# XXX: Uncomment once LTC is enabled again.
-# from .lazy_tensor_core import LazyTensorCoreTestConfig
-
+from .lazy_tensor_core import LazyTensorCoreTestConfig
 from .linalg_on_tensors_backend import LinalgOnTensorsBackendTestConfig
 from .native_torch import NativeTorchTestConfig
 from .torchscript import TorchScriptTestConfig

pytorch-requirements.txt

@@ -1,3 +1,3 @@
 -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
 --pre
-torch==1.14.0.dev20221010
+torch==1.14.0.dev20221011

pytorch-version.txt

@@ -1 +1 @@
-04f63b02a1336db038f4b09006401546f445e68f
+027a1549b9838b5268d3bedc123b05314ec671ca

setup.py

@@ -46,7 +46,7 @@
 PACKAGE_VERSION = os.environ.get("TORCH_MLIR_PYTHON_PACKAGE_VERSION") or "0.0.1"
 
 # If true, enable LTC build by default
-TORCH_MLIR_ENABLE_LTC_DEFAULT = False
+TORCH_MLIR_ENABLE_LTC_DEFAULT = True
 
 # Build phase discovery is unreliable. Just tell it what phases to run.
 class CustomBuild(_build):