Running check-clang-tools on Windows produces 5 test failures:
Failed Tests (5):
Clang Tools :: clang-apply-replacements/ClangRenameClassReplacements.cpp
Clang Tools :: clang-apply-replacements/basic.cpp
Clang Tools :: clang-apply-replacements/format.cpp
Clang Tools :: clang-move/move-used-helper-decls.cpp
Clang Tools :: clang-tidy/infrastructure/export-diagnostics.cpp
Four of these failures are simply due to fixed character position
offsets differing on Windows versus Linux, since Windows line endings
take up two characters instead of one:
clang-apply-replacements/ClangRenameClassReplacements.cpp runs clang-rename -offset=254
clang-apply-replacements/Inputs/basic/file[12].yaml specify e.g. FileOffset: 148 and Offset: 298
clang-apply-replacements/Inputs/format/{no,yes}.yaml specify e.g. FileOffset: 94 and Offset: 94
clang-tidy/infrastructure/export-diagnostics.cpp specifies e.g. CHECK-YAML-NEXT: FileOffset: 30
(The move-used-helper-decls.cpp failure seems more complex; clang-move
adds a blank line after void HelperFun1() {} when
clang-move/Inputs/helper_decls_test.cpp has LF line endings, but does
not add a blank line when the input files has CRLF line endings. That
difference in behavior seems like it may be an actual bug, but I have
yet to track it down.)
Differential Revision: https://reviews.llvm.org/D97625
Right now, the createTargetMachine function in LTOBackend.cpp (used by llvm-lto, and other components) selects the default Relocation Model when none is specified in the module.
Other components (such as opt and llc) that construct a TargetMachine delegate the decision on the default value to the polymorphic TargetMachine's constructor.
This commit aligns llvm-lto with other components.
Reviewed By: daltenty, fhahn
Differential Revision: https://reviews.llvm.org/D97507
Summary:
1. Enable infrastructure of AVX512_BF16, which is supported for BFLOAT16 in Cooper Lake;
2. Enable intrinsics for VCVTNE2PS2BF16, VCVTNEPS2BF16 and DPBF16PS instructions, which are Vector Neural Network Instructions supporting BFLOAT16 inputs and conversion instructions from IEEE single precision.
For more details about BF16 intrinsic, please refer to the latest ISE document: https://software.intel.com/en-us/download/intel-architecture-instruction-set-extensions-programming-reference
Patch by LiuTianle
Reviewers: craig.topper, smaslov, LuoYuanke, wxiao3, annita.zhang, spatel, RKSimon
Reviewed By: craig.topper
Subscribers: mgorny, cfe-commits
Tags: #clang
Differential Revision: https://reviews.llvm.org/D60552
llvm-svn: 360018
Summary:
1. Enable infrastructure of AVX512_BF16, which is supported for BFLOAT16 in Cooper Lake;
2. Enable VCVTNE2PS2BF16, VCVTNEPS2BF16 and DPBF16PS instructions, which are Vector Neural Network Instructions supporting BFLOAT16 inputs and conversion instructions from IEEE single precision.
VCVTNE2PS2BF16: Convert Two Packed Single Data to One Packed BF16 Data.
VCVTNEPS2BF16: Convert Packed Single Data to Packed BF16 Data.
VDPBF16PS: Dot Product of BF16 Pairs Accumulated into Packed Single Precision.
For more details about BF16 isa, please refer to the latest ISE document: https://software.intel.com/en-us/download/intel-architecture-instruction-set-extensions-programming-reference
Author: LiuTianle
Reviewers: craig.topper, smaslov, LuoYuanke, wxiao3, annita.zhang, RKSimon, spatel
Reviewed By: craig.topper
Subscribers: kristina, llvm-commits
Tags: #llvm
Differential Revision: https://reviews.llvm.org/D60550
llvm-svn: 360017
Previously the tests in lld for RISC-V were given in yaml format as
LLVM's RISC-V assembler support was incomplete. Now that the
assembler/disassembler has matured we can rewrite all tests to use
LLVM's tools.
Differential Revision: https://reviews.llvm.org/D60415
llvm-svn: 357996
