Comments (1)
DirectML only supports DirectX 12 devices, and there aren't any plans to support other accelerators.
from tensorflow-directml-plugin.
Related Issues (20)
- Performance issues on Nvidia GPUs with mixed precision and accuracy issues
- tensorflow graph run successfully occasionally
- TensorFlow 2.11.0 support? HOT 2
- tensorflow version 2.12 HOT 1
- ERROR: Could not find a version that satisfies the requirement tensorflow-directml-plugin (from versions: none) HOT 5
- HRESULT failed with 0x887a0001: dml_device_->GetDeviceRemovedReason() HOT 7
- Plugin install via pip forces tensorflow-cpu to be 2.10 HOT 3
- No OpKernel was registered to support Op 'CudnnRNN' used by {{node CudnnRNN}} HOT 1
- Unable to use directml on NVIDIA GPU. `UnimplementedError: Graph execution error.` HOT 1
- InvalidArgumentError: Graph execution error HOT 4
- High usage of CPU viewed from Task Manager HOT 1
- tensorflow 2.13 support? HOT 3
- tensorflow-cpu 2.12.0 encounter issue. HOT 9
- support for python 3.11, support for tf 2.13, is this project abandoned? HOT 9
- TypeError: Unable to serialize [2.0896919 2.1128857 2.1081853] to JSON. Unrecognized type <class 'tensorflow.python.framework.ops.EagerTensor'>. HOT 1
- ValueError: Received incompatible tensor with shape (1, 1, 256, 128) HOT 1
- Status on libtensorflow (C API) support on Windows HOT 2
- Is this repo deprecated?
- Importing tensorflow with enabled GPU acceleration
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from tensorflow-directml-plugin.