-
Gated Multi-Layer Perceptron (Gated-MLP)
-
GELU
-
GELUBackward
-
gemm_dims_t
-
gemm_s8s8s32
-
gemm_u8s8s32
-
generate
-
GenIndex
-
get
-
get_accumulation_mode
-
get_activation_kind
-
get_algorithm
- function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16]
-
get_alpha
-
get_axis
-
get_B_pack_type
-
get_beta
-
get_blob
-
get_buffer
-
get_cache_blob
-
get_cache_blob_id
-
get_cell_kind
- function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12]
-
get_command_queue
-
get_compiled_partition_cache_capacity
-
get_constant_tensor_cache
-
get_constant_tensor_cache_capacity
-
get_context
-
get_count
-
get_cpu_isa_hints
-
get_data_handle
-
get_data_type
-
get_default_fpmath_mode
-
get_desc
-
get_deterministic
-
get_device
-
get_dilations
-
get_dims
-
get_direction
- function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12]
-
get_driver
-
get_dropout
-
get_dst_engine
-
get_effective_cpu_isa
-
get_engine
-
get_engine_cache_blob
-
get_engine_cache_blob_id
-
get_engine_kind
-
get_epsilon
-
get_f8_type_name
-
get_factors
-
get_flags
-
get_format_kind
-
get_fpmath_mode
-
get_group_size
-
get_host_scalar_value
-
get_id
-
get_in_parallel
-
get_inner_blks
-
get_inner_idxs
-
get_inner_nblks
-
get_inplace_ports
-
get_input_ports
-
get_k
-
get_kernel
-
get_kind
-
get_layout_id
-
get_layout_type
-
get_list
-
get_local_size
-
get_logical_tensor
-
get_mem_object
-
get_mem_size
-
get_memory_kind
-
get_ndims
-
get_nnz
-
get_num_handles
-
get_num_threads
-
get_ops
-
get_ops_num
-
get_output_ports
-
get_p
-
get_padded_dims
-
get_padded_offsets
-
get_padding_l
-
get_padding_r
-
get_params_binary
-
get_params_dw
-
get_params_eltwise
-
get_params_prelu
-
get_params_sum
-
get_partitions
-
get_post_ops
-
get_primitive_attr
|
-
get_primitive_cache_capacity
-
get_primitive_desc
-
get_profiling_data
-
get_prop_kind
- function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39]
-
get_property_type
-
get_queue
-
get_rnn_data_qparams
-
get_rnn_weights_projection_qparams
-
get_rnn_weights_qparams
-
get_rounding_mode
-
get_scratchpad_logical_tensor
-
get_scratchpad_mode
-
get_scratchpad_size
-
get_size
-
get_sparse_encoding
-
get_src_engine
-
get_strides
- function, [1], [2], [3], [4], [5], [6], [7], [8], [9], [10]
-
get_submemory_offset
-
get_threadpool
-
Getting started on CPU with Graph API
-
Getting started on GPU with OpenCL extensions API
-
Getting started with OpenCL extensions and Graph API
-
Getting Started with SYCL Extensions API
-
Getting started with SYCL extensions API and Graph API
-
getting_started.cpp
-
giodhw
-
giohw
-
global
-
godhwi
-
gohwi
-
goidhw
-
goihw
-
goiw
-
gowi
-
gpu
-
gpu_opencl_getting_started.cpp
-
gpu_opencl_interop.cpp
-
gpu_runtime
-
gqa_dims_t
-
Graph
-
graph
-
Graph API
-
Graph Dump
-
graph_dump_mode
-
GreaterEqual
-
group
- Accumulation Mode, [1]
- Allocator
- Attributes, [1]
- Batch Normalization, [1]
- Binary, [1]
- BLAS functions, [1]
- BRGeMM ukernel, [1]
- C API
- C++ API
- Common, [1]
- Common API, [1]
- Compiled Partition
- Compiled Partition Cache
- Concat, [1]
- Constant Tensor Cache
- Convolution, [1]
- Data types
- Deconvolution, [1]
- Dump Mode
- Eltwise, [1]
- Engine, [1], [2]
- Floating-point Math Mode, [1]
- Graph
- Graph API
- Group Normalization, [1]
- Inner Product, [1]
- Layer Normalization, [1]
- Level Zero interoperability API, [1]
- Logical Tensor
- LRN, [1]
- Matrix Multiplication, [1]
- Memory, [1]
- Op
- OpenCL interoperability API, [1], [2]
- Partition
- Pooling, [1]
- PReLU, [1]
- Primitive Cache, [1]
- Primitives, [1]
- Profiling, [1]
- Reduction, [1]
- Reorder, [1]
- Resampling, [1]
- RNN, [1]
- Runtime interoperability API, [1], [2]
- Service, [1]
- Shuffle, [1]
- Softmax, [1]
- Status
- Stream, [1]
- Sum, [1]
- SYCL interoperability API, [1], [2]
- Tensor
- Threadpool interoperability API, [1]
- Transform ukernel, [1]
- ukernel utils
- Ukernels, [1]
- Utilities, [1], [2]
-
Group Normalization
-
Group Normalization Primitive Example
-
group_normalization
-
group_normalization.cpp
-
group_normalization_backward
-
group_normalization_forward
-
group_shape
-
group_size_s64
-
grouped
-
Grouped Memory Format for Variable-Size Batching
-
Grouped Query Attention (GQA)
-
GroupNorm
-
groups
-
gru_backward
-
gru_forward
|