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Supported Primitives

Batch Normalization

The implementation supports both forward and backward directions.

  • Supported formats: NCDHW, NDHWC, NCHW, NHWC, NCW, NWC, NC

Eltwise

The implementation supports both forward and backward directions.

  • Supported algorithms: abs, clip, clip_v2, elu, exp, gelu_erf, gelu_tanh, hardsigmoid, hardswish, linear, log, logistic, mish, pow, relu, round, soft_relu, sqrt, square,swish and tanh
  • Supported formats: NCDHW, NDHWC, NCHW, NHWC, NCW, NWC, NC, N

LRN

The implementation supports both forward and backward directions.

  • Supported formats: NCDHW, NDHWC, NCHW, NHWC, NCW, NWC, NC

Pooling

The implementation supports both forward and backward directions.

  • Supported formats: NCDHW, NDHWC, NCHW, NHWC, NCW, NWC

PReLU

The implementation supports both forward and backward propagations.

  • Supported formats: NCDHW, NDHWC, NCHW, NHWC, NCW, NWC, NC

  • Forward pass supports f32, f16, bf16, s8 and u8 data types

  • Backward pass supports f32 and bf16 data types

Reorder

  • Format support limitations: blocked formats are not supported
  • Supported data types: f32, bf16, f16, s8, u8

Resampling

The implementation supports both forward and backward directions.

  • Supported formats: NCDHW, NDHWC, NCHW, NHWC, NCW, NWC

Softmax/LogSoftmax

The implementation supports both forward and backward directions.

  • Supported formats: NCDHW, NDHWC, NCHW, NHWC, NCW, NWC, NC

Shuffle

The implementation supports both forward and backward propagations.

  • Supported formats: NCDHW, NDHWC, NCHW, NHWC, NCW, NWC, NC

  • Forward pass supports f32, f16, bf16 and s8 data types.

  • Backward pass supports f32 and bf16 data types.