DPC++ Backends Support: OpenCL and Level Zero¶
DPC++ can be used with different backends (e.g., OpenCL and Level Zero). For more details, see: https://github.com/intel/llvm/blob/sycl/sycl/doc/PluginInterface.md “The DPC++ Runtime Plugin Interface”.
In oneDNN, engines can be created using two different interfaces: by passing an index, and by passing a DPC++ device and context. The following table shows what DPC++ devices are supported (with their backends) by each of the APIs depending on the engine kind:
API |
||
---|---|---|
DPC++ devices: CPU (OpenCL) |
DPC++ devices: GPU (OpenCL and Level Zero) |
|
dnnl::sycl_interop::make_engine(const cl::sycl::device &, const cl::sycl::context &) |
DPC++ devices: CPU (OpenCL) and host |
DPC++ devices: GPU (OpenCL and Level Zero) |
The host device in DPC++ does not require a backend and is implemented in the DPC++ runtime directly.
The following sections describe the behavior of oneDNN and the prerequisites with respect to different backends.
Library Building¶
OpenCL Backend Support¶
oneDNN is always built with OpenCL backend support, and this support cannot be disabled at build time. Additional dependencies include OpenCL headers and OpenCL ICD Loader which are distributed with a DPC++ package and do not require special handling.
Level Zero Backend Support¶
Level Zero backend support is optional. Additional dependencies include Level Zero headers and should be handled by the user. Level Zero backend support is enabled implicitly if CMake is able to find Level Zero headers - in this case CMake prints the corresponding message:
-- DPC++ support is enabled (OpenCL and Level Zero)
Running¶
oneDNN builds that were built with OpenCL backend support only cannot be used with the Level Zero DPC++ backend. This means that the OpenCL DPC++ plugin must be available on the system.
CPU engines use either a CPU DPC++ device (backed by OpenCL) or a host DPC++ device underneath. GPU engines use a GPU DPC++ device underneath backed by an OpenCL or Level Zero backend.
For GPU engines, the following rules apply:
Only one GPU backend is active in oneDNN during an application run. oneDNN GPU engines can be created only with the active GPU backend
If a oneDNN build does not support Level Zero, then the active GPU backend is always OpenCL
- When both OpenCL and Level Zero GPU backend support is in place for oneDNN, then the active GPU backend is controlled by https://github.com/intel/llvm/blob/sycl/sycl/doc/EnvironmentVariables.md “SYCL_BE environment
variable”:
Empty value (which is the default) enables the Level Zero backend
PI_OPENCL
value corresponds to the OpenCL backend