onnxruntime/packages.config

<?xml version="1.0" encoding="utf-8"?>
<packages>
  <package id="DirectML" version="3.0.0" targetFramework="native" />
  <package id="GoogleTestAdapter" version="0.17.1" targetFramework="net46" />
</packages>
Add DirectML Execution Provider (#2057) This change adds a new execution provider powered by [DirectML](https://aka.ms/DirectML). DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning on Windows. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers. The DirectML execution provider is capable of greatly improving evaluation time of models using commodity GPU hardware, without sacrificing broad hardware support or requiring vendor-specific extensions to be installed. Note that the DML EP code was moved verbatim from the existing WindowsAI project, which is why it doesn't yet conform to the onnxruntime coding style. This is something that can be fixed later; we would like to keep formatting/whitespace changes to a minimum for the time being to make it easier to port fixes from WindowsAI to ORT during this transition. Summary of changes: * Initial commit of DML EP files under onnxruntime/core/providers/dml * Add cmake entries for building the DML EP and for pulling down the DirectML redist using nuget * Add a submodule dependency on the Windows Implementation Library (WIL) * Add docs under docs/execution_providers/DirectML-ExecutionProvider.md * Add support for DML EP to provider tests and perf tests * Add support for DML EP to fns_candy_style_transfer sample * Add entries to the C ABI for instantiating the DML EP 2019-10-15 13:13:07 +00:00			`<?xml version="1.0" encoding="utf-8"?>`
			`<packages>`
Update 2020-08-28 04:01:19 +00:00			`<package id="DirectML" version="3.0.0" targetFramework="native" />`
Fix some warnings on Windows (#2560) 1. Enable warning "4503" # Decorated name length exceeded. 2. Enable warning "4146" # unary minus operator applied to unsigned type. 3. Enable float64 support for the Softmax operator 4. Enable compliance checks for Windows x86 32bits build 5. Use TryBatchParallelFor to replace some fallback code in mlas pooling.cc 6. Fix Android CI pipeline. 2020-01-22 23:59:11 +00:00			`<package id="GoogleTestAdapter" version="0.17.1" targetFramework="net46" />`
Add DirectML Execution Provider (#2057) This change adds a new execution provider powered by [DirectML](https://aka.ms/DirectML). DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning on Windows. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers. The DirectML execution provider is capable of greatly improving evaluation time of models using commodity GPU hardware, without sacrificing broad hardware support or requiring vendor-specific extensions to be installed. Note that the DML EP code was moved verbatim from the existing WindowsAI project, which is why it doesn't yet conform to the onnxruntime coding style. This is something that can be fixed later; we would like to keep formatting/whitespace changes to a minimum for the time being to make it easier to port fixes from WindowsAI to ORT during this transition. Summary of changes: * Initial commit of DML EP files under onnxruntime/core/providers/dml * Add cmake entries for building the DML EP and for pulling down the DirectML redist using nuget * Add a submodule dependency on the Windows Implementation Library (WIL) * Add docs under docs/execution_providers/DirectML-ExecutionProvider.md * Add support for DML EP to provider tests and perf tests * Add support for DML EP to fns_candy_style_transfer sample * Add entries to the C ABI for instantiating the DML EP 2019-10-15 13:13:07 +00:00			`</packages>`