README.md

@@ -32,8 +32,7 @@ More installation methods can be found at [CPU Installation Guide](https://intel
 You can install Intel® Extension for PyTorch\* for GPU via command below.
 
 ```python
-python -m pip install torch==1.13.0a0 -f https://developer.intel.com/ipex-whl-stable-xpu
-python -m pip install intel_extension_for_pytorch==1.13.10+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
+python -m pip install torch==1.13.0a0+git6c9b55e intel_extension_for_pytorch==1.13.120+xpu -f https://developer.intel.com/ipex-whl-stable-xpu
 ```
 
 **Note:** The patched PyTorch 1.13.0a0 is required to work with Intel® Extension for PyTorch\* on Intel® graphics card for now.
@@ -84,11 +83,11 @@ with torch.no_grad():
 
 ## Model Zoo
 
-Use cases that had already been optimized by Intel engineers are available at [Model Zoo for Intel® Architecture](https://github.com/IntelAI/models/tree/pytorch-r1.13-models). A bunch of PyTorch use cases for benchmarking are also available on the [Github page](https://github.com/IntelAI/models/tree/pytorch-r1.13-models/benchmarks#pytorch-use-cases). You can get performance benefits out-of-box by simply running scipts in the Model Zoo.
+Use cases that had already been optimized by Intel engineers are available at [Model Zoo for Intel® Architecture](https://github.com/IntelAI/models/tree/pytorch-r2.0-models). A bunch of PyTorch use cases for benchmarking are also available on the [Github page](https://github.com/IntelAI/models/tree/pytorch-r2.0-models/benchmarks#pytorch-use-cases). You can get performance benefits out-of-box by simply running scipts in the Model Zoo.
 
 ## License
 
-_Apache License_, Version _2.0_. As found in [LICENSE](https://github.com/intel/intel-extension-for-pytorch/blob/master/LICENSE.txt) file.
+_Apache License_, Version _2.0_. As found in [LICENSE](https://github.com/intel/intel-extension-for-pytorch/blob/master/LICENSE) file.
 
 ## Security
 

csrc/cpu/CMakeLists.txt

@@ -73,6 +73,9 @@ set(IPEX_CPU_CPP_SRCS ${IPEX_CPU_CPP_DYNDISP_SRCS} ${IPEX_CPU_CPP_ISA_SRCS_GEN}
 
 list(REMOVE_ITEM IPEX_CPU_CPP_SRCS ${IPEX_CPU_CPP_ISA_SRCS_ORIGIN})
 
+# Disable XCR check to support Virtual Machines. Some hypervisor can't simulate XCR0 correctly.
+# add_definitions (-DENABLE_XCR_CHECK)
+
 add_library(${PLUGIN_NAME_CPU} SHARED ${IPEX_CPU_CPP_SRCS})
 
 set_target_properties(${PLUGIN_NAME_CPU} PROPERTIES ONEDNN_INCLUDE_DIR "${IPEX_CPU_CPP_THIRD_PARTY_ROOT}/ideep/mkl-dnn/include")