TensorFlow-DirectML 1.15.4.dev201216
Pre-release
Pre-release
Preview build of tensorflow-directml built on December 16, 2020.
The Python packages are available as a PyPI release. To download the latest python package automatically, simply pip install tensorflow-directml
.
Changes in dev201216:
- Registers 55 new DirectML kernels. See the new Operator Roadmap for an overview of the operations DirectML supports and is planning to support.
- Updates to DirectML 1.4.0 using the redistributable NuGet package, Microsoft.AI.DirectML.
- Resolves an issue that prevented the DirectML library DLL file from loading correctly on Windows builds. This fix makes tensorflow-directml compatible with UWP apps like Python from the Microsoft Store.
- Improves DirectX device removal reporting and troubleshooting. See Troubleshooting-Timeouts.md.
- Fixes spurious out-of-memory issues affecting integrated GPUs, which don't have large pools of dedicated memory.
- Exposes additional DirectX adapter information through
device_lib.list_local_devices()
. This makes it easier for consumers of tensorflow-directml to filter out adapters that don't meet minimum hardware requirements. - Removes AVX2 requirement from Linux builds, which improves CPU compatibility.
- Switches to numpy 1.18.5 (works around breaking changes).
- Merges upstream TensorFlow 1.15.4 fixes.
- Fixes numerous DirectML kernel bugs.
- Adds a few minor performance improvements.