Files
pytorch/cmake/public/ComputeLibrary.cmake
Siddhartha Menon e1e6417d4c Add SVE implementation of embedding_lookup_idx (#133995)
Adds an accelerated version of the embedding_lookup_idx perfkernels. This is done via a python codegen file similarly to `caffe2/perfkernels/hp_emblookup_codegen.py`

Pull Request resolved: https://github.com/pytorch/pytorch/pull/133995
Approved by: https://github.com/malfet, https://github.com/huydhn
2024-10-15 18:52:44 +00:00

35 lines
1.6 KiB
CMake

# Build with Compute Library backend for the Arm architecture
# Note: Compute Library is available from: https://github.com/ARM-software/ComputeLibrary
# and must be built separately. The location of the Compute Library build
# must be set with the env var ACL_ROOT_DIR. This path will be checked later
# as part of FindACL.cmake in oneDNN.
if(NOT USE_MKLDNN_ACL)
RETURN()
endif()
set(DNNL_AARCH64_USE_ACL ON CACHE BOOL "" FORCE)
# Check the Compute Library version number.
# Note: oneDNN / MKL-DNN v2.2 onwards will check the Compute Library version
# the version check here can be removed once PyTorch transitions to v2.2.
set(ACL_MINIMUM_VERSION "21.02")
file(GLOB_RECURSE ACL_VERSION_FILE $ENV{ACL_ROOT_DIR}/*/arm_compute_version.embed)
if("${ACL_VERSION_FILE}" STREQUAL "")
message(WARNING "Build may fail: Could not determine ACL version (minimum required is ${ACL_MINIMUM_VERSION})")
else()
file(READ ${ACL_VERSION_FILE} ACL_VERSION_STRING)
string(REGEX MATCH "v([0-9]+\\.[0-9]+)" ACL_VERSION "${ACL_VERSION_STRING}")
set(ACL_VERSION "${CMAKE_MATCH_1}")
if("${ACL_VERSION}" VERSION_EQUAL "0.0")
# Unreleased ACL versions come with version string "v0.0-unreleased", and may not be compatible with oneDNN.
# It is recommended to use the latest release of ACL.
message(WARNING "Build may fail: Using unreleased ACL version (minimum required is ${ACL_MINIMUM_VERSION})")
elseif(${ACL_VERSION} VERSION_LESS ${ACL_MINIMUM_VERSION})
message(FATAL_ERROR "Detected ACL version ${ACL_VERSION}, but minimum required is ${ACL_MINIMUM_VERSION}")
endif()
endif()