Deep Neural Network Library (DNNL)  1.91.0
Performance library for Deep Learning

examples → include Relation

File in examplesIncludes file in include
cnn_inference_f32.cdnnl.h
cnn_inference_f32.cppdnnl.hpp
cnn_inference_int8.cppdnnl.hpp
cnn_training_f32.cppdnnl.hpp
cpu_cnn_training_bf16.cppdnnl.hpp
cpu_cnn_training_f32.cdnnl.h
cpu_rnn_inference_f32.cppdnnl.hpp
cpu_rnn_inference_int8.cppdnnl.hpp
cross_engine_reorder.cdnnl.h
cross_engine_reorder.cppdnnl.hpp
example_utils.hdnnl.h
example_utils.hdnnl_debug.h
example_utils.hppdnnl.hpp
example_utils.hppdnnl_debug.h
getting_started.cppdnnl.hpp
getting_started.cppdnnl_debug.h
gpu_opencl_interop.cppdnnl.hpp
memory_format_propagation.cppdnnl.hpp
performance_profiling.cppdnnl.hpp
rnn_training_f32.cppdnnl.hpp
sycl_interop.cppdnnl.hpp
sycl_interop.cppdnnl_debug.h
sycl_interop_usm.cppdnnl.hpp
sycl_interop_usm.cppdnnl_debug.h
tutorials / matmul / cpu_matmul_quantization.cppdnnl.hpp
tutorials / matmul / cpu_sgemm_and_matmul.cppdnnl.hpp
tutorials / matmul / inference_int8_matmul.cppdnnl.hpp