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# 支持算子
当前Paddle-Lite共计支持算子204个，其中基础算子78个，附加算子127个。
### 基础算子
默认编译的算子，共计78个。
Host端Kernel是算子在任意CPU上纯C/C++的具体实现，具有可移植性强的特点，因此，它一般作为各特定平台算子实现的补充。
举例PaddleLite在ARM上部署模型，如果模型中某个算子没有ARM端Kernel，但是有Host端Kerenel，那么模型优化阶段该算子会选择Host端Kerenel，该模型还是可以顺利部署。
| OP Name | Host | X86 | CUDA | ARM | OpenCL | FPGA | 华为NPU | 百度XPU | 瑞芯微NPU | 联发科APU |
|-:|-|-|-|-|-|-|-|-|-|-|
| affine_channel | | | | Y | | | | | | |
| affine_grid | | | | Y | | | | | | |
| arg_max | | | | Y | | | | | | |
| assign_value | | | Y | Y | | | | | | |
| batch_norm | | Y | | Y | | | Y | Y | Y | |
| bilinear_interp | | | Y | Y | Y | | Y | | | |
| box_coder | | | | Y | Y | | | | | |
| calib | | | Y | Y | | Y | | | | |
| cast | | Y | | Y | | | | Y | | |
| concat | | Y | Y | Y | Y | | Y | | Y | |
| conv2d | | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| conv2d_transpose | | | | Y | | | Y | | | |
| density_prior_box | | | | Y | | | | | | |
| depthwise_conv2d | | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| depthwise_conv2d_transpose | | | | | | | | | | |
| dropout | | Y | Y | Y | Y | Y | Y | Y | | |
| elementwise_add | | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| elementwise_div | | | | Y | | | Y | | Y | |
| elementwise_max | | | | Y | | | | | | |
| elementwise_mod | | | | Y | | | | | | |
| elementwise_mul | | Y | Y | Y | Y | Y | Y | | Y | Y |
| elementwise_pow | | | | | | | | | | |
| elementwise_sub | | Y | Y | Y | Y | | Y | | Y | |
| elu | | | | Y | | | | | | |
| expand | Y | | | | Y | | Y | | | |
| expand_as | Y | | | | | | | | | |
| fc | | Y | Y | Y | Y | Y | Y | | Y | Y |
| feed | Y | | Y | | | Y | | | | |
| fetch | Y | | | | | Y | | | | |
| fill_constant | Y | | | | | | | | | |
| fill_constant_batch_size_like | Y | Y | | | | | | | | |
| flatten | Y | | | | Y | | | | Y | |
| flatten2 | Y | | | | Y | | | | Y | |
| fusion_elementwise_add_activation | | | Y | Y | Y | Y | Y | | | |
| fusion_elementwise_div_activation | | | | Y | | | Y | | | |
| fusion_elementwise_max_activation | | | | Y | | | | | | |
| fusion_elementwise_mul_activation | | | Y | Y | | | Y | | | |
| fusion_elementwise_sub_activation | | | Y | Y | Y | | Y | | | |
| grid_sampler | | | | Y | Y | | | | | |
| instance_norm | | | | Y | Y | | Y | | | |
| io_copy | | | Y | | Y | Y | | | | |
| io_copy_once | | | Y | | Y | Y | | | | |
| layout | | | Y | Y | Y | Y | | | | |
| leaky_relu | | Y | Y | Y | Y | | Y | | | |
| matmul | | Y | Y | Y | | | Y | Y | | |
| mul | | Y | Y | Y | | | Y | Y | | |
| multiclass_nms | Y | | | | | Y | | | | |
| multiclass_nms2 | Y | | | | | | | | | |
| nearest_interp | | | Y | Y | Y | | Y | | | |
| pad2d | | | | Y | Y | | Y | | | |
| pool2d | | Y | Y | Y | Y | Y | Y | Y | Y | Y |
| prelu | | | | Y | | | | | | |
| prior_box | | | | Y | | Y | | | | |
| range | | | | Y | | | | | | |
| reduce_mean | | | | Y | | | Y | | | |
| relu | | Y | Y | Y | Y | | Y | | Y | Y |
| relu6 | | | | Y | Y | | Y | | | |
| reshape | Y | Y | | | Y | | Y | Y | | |
| reshape2 | Y | Y | | | Y | | Y | Y | Y | |
| scale | | Y | Y | Y | Y | Y | Y | Y | Y | |
| search_fc | | Y | Y | | | | | | | |
| sequence_topk_avg_pooling | | Y | Y | | | | | | | |
| shuffle_channel | | | | Y | | | Y | | | |
| sigmoid | | Y | Y | Y | Y | | Y | | Y | |
| slice | | Y | | Y | Y | | | Y | | |
| softmax | | Y | Y | Y | | | Y | Y | Y | Y |
| split | | | | Y | | | Y | | | |
| squeeze | Y | | | | | | | | | |
| squeeze2 | Y | | | | | | | | | |
| stack | | Y | | Y | | | | Y | | |
| subgraph | | | | | | | Y | Y | Y | Y |
| tanh | | Y | Y | Y | Y | | Y | Y | | |
| thresholded_relu | | | | Y | | | Y | | | |
| transpose | | Y | Y | Y | Y | | Y | Y | | |
| transpose2 | | Y | Y | Y | Y | | Y | Y | Y | |
| unsqueeze | Y | | | | | | Y | | | |
| unsqueeze2 | Y | | | | | | Y | | | |
| yolo_box | | | Y | Y | | | | Y | | |
### 附加算子
附加算子共计127个，需要在编译时打开`--build_extra=ON`开关才会编译，具体请参考[参数详情](../source_compile/library)。
| OP Name | Host | X86 | CUDA | ARM | OpenCL | FPGA | 华为NPU | 百度XPU | 瑞芯微NPU | 联发科APU |
|-:|-|-|-|-|-|-|-|-|-|-|
| abs | | | Y | Y | | | | | | |
| anchor_generator | | | | Y | | | | | | |
| assign | Y | | | | | | | | | |
| attention_padding_mask | | | | | | | | | | |
| axpy | | | | Y | | | | | | |
| beam_search_decode | | | | Y | | | | | | |
| beam_search_decode | | | | Y | | | | | | |
| box_clip | | | | Y | | | | | | |
| calib_once | | | Y | Y | | Y | | | | |
| clip | | | | Y | | | | | | |
| collect_fpn_proposals | | | | Y | | | | | | |
| conditional_block | Y | | | | | | | | | |
| crf_decoding | Y | | | | | | | | | |
| crop | | | | Y | | | | | | |
| ctc_align | Y | | | | | | | | | |
| decode_bboxes | | | | Y | | | | | | |
| deformable_conv | | | | Y | | | | | | |
| distribute_fpn_proposals | | | | Y | | | | | | |
| equal | Y | | | | | | | | | |
| exp | | | | Y | Y | | | | | |
| fake_channel_wise_dequantize_max_abs | | | | | | | | | | |
| fake_dequantize_max_abs | | | | | | | | | | |
| fake_quantize_abs_max | | | | | | | | | | |
| fake_quantize_dequantize_abs_max | | | | | | | | | | |
| fake_quantize_dequantize_moving_average_abs_max | | | | | | | | | | |
| fake_quantize_moving_average_abs_max | | | | | | | | | | |
| fake_quantize_range_abs_max | | | | | | | | | | |
| floor | | | | Y | | | | | | |
| gather | | Y | | Y | | | | Y | | |
| gelu | | Y | | | | | | | | |
| generate_proposals | | | | Y | | | | | | |
| greater_equal | Y | | | | | | | | | |
| greater_than | Y | | | | | | | | | |
| group_norm | | | | Y | | | | | | |
| gru | | Y | Y | Y | | Y | | | | |
| gru_unit | | | | Y | | | | | | |
| hard_sigmoid | | | | Y | Y | | Y | | | |
| hard_swish | | | | Y | | | | | | |
| im2sequence | | | | Y | | | | | | |
| increment | | | | Y | | | Y | | | |
| is_empty | Y | | | | | | | | | |
| layer_norm | | Y | | Y | | | Y | Y | | |
| layout_once | | | Y | Y | | Y | | | | |
| less_equal | Y | | | | | | | | | |
| less_than | Y | | | | | | Y | | | |
| lod_reset | | | | Y | | | | | | |
| log | | | | Y | | | Y | | | |
| logical_and | Y | | | | | | | | | |
| logical_not | Y | | | | | | | | | |
| logical_or | Y | | | | | | | | | |
| logical_xor | Y | | | | | | | | | |
| lookup_table | | Y | Y | Y | | | | Y | | |
| lookup_table_dequant | | | | Y | | | | | | |
| lookup_table_v2 | | Y | Y | Y | | | | | | |
| lrn | | | | Y | Y | | | | | |
| lstm | | | | Y | | | | | | |
| match_matrix_tensor | | Y | Y | | | | | | | |
| max_pool2d_with_index | | | | | | | | | | |
| mean | | | | Y | | | | | | |
| merge_lod_tensor | | | | Y | | | | | | |
| negative | | | | Y | | | | | | |
| norm | | | | Y | | Y | | | | |
| not_equal | Y | | | | | | | | | |
| one_hot | Y | | | | | | | | | |
| pixel_shuffle | Y | | | Y | Y | | | | | |
| pow | | | | Y | | | | | | |
| print | Y | | | | | | | | | |
| read_from_array | Y | | | | | | | | | |
| reciprocal | | | | Y | | | | | | |
| reduce_max | | | | Y | | | | | | |
| reduce_prod | | | | Y | | | | | | |
| reduce_sum | | Y | | | | | | Y | | |
| relu_clipped | | | | Y | | | Y | | | |
| retinanet_detection_output | Y | | | | | | | | | |
| roi_align | | | | Y | | | | | | |
| rsqrt | | | | Y | | | | | | |
| search_aligned_mat_mul | | Y | Y | | | | | | | |
| search_attention_padding_mask | | Y | Y | | | | | | | |
| search_grnn | | Y | Y | | | | | | | |
| search_group_padding | | Y | Y | | | | | | | |
| search_seq_arithmetic | | Y | Y | | | | | | | |
| search_seq_depadding | | Y | Y | | | | | | | |
| search_seq_fc | | Y | Y | | | | | | | |
| search_seq_softmax | | Y | Y | | | | | | | |
| sequence_arithmetic | | Y | Y | | | | | | | |
| sequence_concat | | Y | Y | | | | | | | |
| sequence_conv | | Y | | Y | | | | | | |
| sequence_expand | | | | Y | | | | | | |
| sequence_expand_as | | Y | | | | | | | | |
| sequence_mask | | | Y | | | | | | | |
| sequence_pad | | | Y | | | | | | | |
| sequence_pool | | Y | Y | Y | | | | | | |
| sequence_pool_concat | | | Y | | | | | | | |
| sequence_reshape | | Y | | | | | | | | |
| sequence_reverse | | Y | Y | | | | | | | |
| sequence_reverse_embedding | | | Y | | | | | | | |
| sequence_softmax | | | | Y | | | | | | |
| sequence_unpad | Y | | Y | | | | | | | |
| shape | Y | Y | | | | | | | | |
| sign | | | | | | | | | | |
| softsign | | Y | | | | | Y | | | |
| split_lod_tensor | | | | Y | | | | | | |
| sqrt | | | | | | | Y | | | |
| square | | Y | | Y | | | Y | | | |
| swish | | | | Y | Y | | | | | |
| top_k | | | | Y | | | | | | |
| topk_pooling | | | Y | | | | | | | |
| uniform_random | | | | | | | | | | |
| var_conv_2d | | Y | Y | | | | | | | |
| where_index | Y | | | | | | | | | |
| while | Y | | | | | | | | | |
| write_to_array | Y | | | | | | | | | |
| __xpu__conv2d | | | | | | | | Y | | |
| __xpu__embedding_with_eltwise_add | | | | | | | | Y | | |
| __xpu__fc | | | | | | | | Y | | |
| __xpu__mmdnn_bid_emb_att | | | | | | | | Y | | |
| __xpu__mmdnn_bid_emb_grnn_att | | | | | | | | Y | | |
| __xpu__mmdnn_bid_emb_grnn_att2 | | | | | | | | Y | | |
| __xpu__mmdnn_match_conv_topk | | | | | | | | Y | | |
| __xpu__mmdnn_merge_all | | | | | | | | Y | | |
| __xpu__mmdnn_search_attention | | | | | | | | Y | | |
| __xpu__multi_encoder | | | | | | | | Y | | |
| __xpu__resnet_cbam | | | | | | | | Y | | |
| __xpu__resnet50 | | | | | | | | Y | | |
| __xpu__sfa_head | | | | | | | | Y | | |
| matrix_nms | Y | | | | | | | | | |