oneAPI Deep Neural Network Library (oneDNN)
oneAPI Deep Neural Network Library (oneDNN)
Performance library for Deep Learning
2.2.2
Examples
Here is a list of all examples:
bnorm_u8_via_binary_postops.cpp
cnn_inference_f32.c
cnn_inference_f32.cpp
cnn_inference_int8.cpp
cnn_training_bf16.cpp
cnn_training_f32.cpp
cpu_cnn_training_f32.c
cpu_rnn_inference_f32.cpp
cpu_rnn_inference_int8.cpp
cross_engine_reorder.c
cross_engine_reorder.cpp
getting_started.cpp
gpu_opencl_interop.cpp
memory_format_propagation.cpp
performance_profiling.cpp
batch_normalization.cpp
binary.cpp
concat.cpp
convolution.cpp
eltwise.cpp
inner_product.cpp
layer_normalization.cpp
logsoftmax.cpp
lrn.cpp
lstm.cpp
matmul.cpp
pooling.cpp
prelu.cpp
reduction.cpp
reorder.cpp
resampling.cpp
shuffle.cpp
softmax.cpp
sum.cpp
rnn_training_f32.cpp
sycl_interop_buffer.cpp
cpu_matmul_quantization.cpp
cpu_sgemm_and_matmul.cpp
inference_int8_matmul.cpp