1. Pipeline changes for python 3.8
2. Fix a regression in setup.py which was just introduced in the previous commit.
Please notice, we still haven't made python 3.8 + Windows + CUDA work.
* Add schema for new Qops
* adding shape inference + qlinearaveragepool
* plus review comments
* plus review comments
* updates per review comments
* plus review comments
1. Reflect int8 GEMV improvements for multi-threading from #2696
2. Add notes on multi-threading control using OpenMP
3. Add samples of running multi-isa AOT, and show int8 GEMM differences between AVX and AVX2
4. Add rnn_benchmark example to resolve#1993
* Additional DML operators
* Check unsupported attributes and inputs
* Address PR comments
* Add kernel capability function used for partitioning, and re-enable stride-based int64 support based on value range
* Fix test failures
* Build fix
* PR comments
* Fix C# handling of unicode strings
* more tests
* check for handle before freesing
* variable reuse efficiency
* refactor and cleanup utf8 o utf16 conversion block
Update featurizers. Fix up constraint issue.
Pass static VCRT library option down to Featurizers CMAKE.
Make build Featurizers OFF by default.
Rename registration call.
* Spacing fix for code block
* Update instructions
Include java, acl, and nn api instructions on build page
* Update build instructions to link to build.md
* typo
* Update build instructions to link to build.md
* Include other minor build.md page updates
* Update CUDA version
* Fix dockerfile links
1. Move Win GPU pipeline to VS2019
2. Move C API pipeline to VS 2019
3. Move nuget mklml pipeline to VS 2019
4. Move windows no contrib ops pipeline to VS 2019
When NUPHAR_USE_MKL and NUPHAR_USE_AVX2 were not defined, we got
"unreachable code" warnings on Windows, which were turned into
errors and broke the build.
Advance commit to 4df80d5865a9d4e97f6d0b9304d4316115a04d9e
Add generated code for the commit before editing.
Import more featurizers.
Rename Automl ops domain to mlfeaturizers.
Rename conditional compilation macro.
Move and rename files getting rid of automl
Rename --use_automl build switch to --use_featurizers
Rename CMake option accordingly. Rename automl CMake targets.
Adjust CI and packaging pipeline switches.
Rename namespace automl to featurizers.
This adds MLAS support to quantize a buffer using vector instructions for x86/x64/ARM64. This helper is now used for the QuantizeLinear and DynamicQuantizeLinear ops.
* added cache version for nuphar JIT binaries
Previously, when the user wrongfully loaded a JIT binary generated
from a Nuphar version different from the current used one, she
would get mysterious runtime failures, because we didn't perform
any version check on JIT binaries.
This change added cache versions to the Nuphar runtime and
JIT binaries. The Nuphar runtime will issue verbose message that
informs the user version-mismatch errors.
* address CR feedback
* include NUPHAR_CACHE_VERSION in python wheel
