_paddle_use_kernels.h 9.6 KB
Newer Older
Y
Yan Chunwei 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23
// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
//     http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.

/*
 * ATTENTION this header file can only include in .cc file.
 */

#pragma once
#include "paddle_lite_factory_helper.h"  // NOLINT
#ifndef LITE_WITH_FPGA
USE_LITE_KERNEL(feed, kHost, kAny, kAny, def);
USE_LITE_KERNEL(fetch, kHost, kAny, kAny, def);
T
TianXiaogang 已提交
24 25
USE_LITE_KERNEL(flatten, kHost, kAny, kAny, def);
USE_LITE_KERNEL(flatten2, kHost, kAny, kAny, def);
Y
Yan Chunwei 已提交
26 27 28 29 30
#else
USE_LITE_KERNEL(feed, kFPGA, kFP16, kNHWC, def);
USE_LITE_KERNEL(fetch, kFPGA, kFP16, kNHWC, def);
#endif

Y
Yan Chunwei 已提交
31 32 33 34
// host kernels
USE_LITE_KERNEL(reshape, kHost, kAny, kAny, def);
USE_LITE_KERNEL(reshape2, kHost, kAny, kAny, def);

Y
Yan Chunwei 已提交
35 36 37
#ifdef LITE_WITH_ARM
USE_LITE_KERNEL(fc, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(mul, kARM, kFloat, kNCHW, def);
W
Wilber 已提交
38
USE_LITE_KERNEL(matmul, kARM, kFloat, kNCHW, def);
Y
Yan Chunwei 已提交
39 40 41 42 43 44 45 46 47 48
USE_LITE_KERNEL(scale, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(softmax, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(lrn, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(decode_bboxes, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(box_coder, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(conv2d, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(depthwise_conv2d, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(elementwise_add, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(elementwise_mul, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(elementwise_max, kARM, kFloat, kNCHW, def);
49 50
USE_LITE_KERNEL(elementwise_div, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(fusion_elementwise_div_activation, kARM, kFloat, kNCHW, def);
Y
Yan Chunwei 已提交
51 52 53 54 55 56 57 58
USE_LITE_KERNEL(fusion_elementwise_add_activation, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(fusion_elementwise_mul_activation, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(fusion_elementwise_max_activation, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(split, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(dropout, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(concat, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(pool2d, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(relu, kARM, kFloat, kNCHW, def);
Y
Yan Chunwei 已提交
59
USE_LITE_KERNEL(relu6, kARM, kFloat, kNCHW, def);
Y
Yan Chunwei 已提交
60 61 62 63 64 65 66 67 68 69 70 71 72 73 74
USE_LITE_KERNEL(transpose, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(transpose2, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(batch_norm, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(power, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(shuffle_channel, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(yolo_box, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(argmax, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(axpy, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(leaky_relu, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(relu_clipped, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(prelu, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(sigmoid, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(tanh, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(swish, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(log, kARM, kFloat, kNCHW, def);
Y
Yan Chunwei 已提交
75
USE_LITE_KERNEL(exp, kARM, kFloat, kNCHW, def);
Y
Yan Chunwei 已提交
76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102
USE_LITE_KERNEL(conv2d_transpose, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(pad2d, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(prior_box, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(density_prior_box, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(negative, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(crop, kARM, kFloat, kNCHW, def);

USE_LITE_KERNEL(norm, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(sequence_softmax, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(im2sequence, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(bilinear_interp, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(nearest_interp, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(logical_xor, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(logical_and, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(less_than, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(top_k, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(increment, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(write_to_array, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(read_from_array, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(multiclass_nms, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(reduce_max, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(sequence_expand, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(sequence_pool, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(shape, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(fill_constant, kARM, kFloat, kNCHW, def);
USE_LITE_KERNEL(cast, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(slice, kARM, kFloat, kNCHW, def)
103 104 105
USE_LITE_KERNEL(affine_channel, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(anchor_generator, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(generate_proposals, kARM, kFloat, kNCHW, def)
Y
Yan Chunwei 已提交
106 107 108
USE_LITE_KERNEL(squeeze, kARM, kFloat, kNCHW, def)   // for x2paddle
USE_LITE_KERNEL(squeeze2, kARM, kFloat, kNCHW, def)  // for x2paddle
USE_LITE_KERNEL(expand, kARM, kFloat, kNCHW, def)    // for x2paddle
109 110
USE_LITE_KERNEL(reduce_mean, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(stack, kARM, kFloat, kNCHW, def)
111
USE_LITE_KERNEL(roi_align, kARM, kFloat, kNCHW, def)
Y
Yan Chunwei 已提交
112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128

USE_LITE_KERNEL(calib, kARM, kInt8, kNCHW, fp32_to_int8);
USE_LITE_KERNEL(calib, kARM, kInt8, kNCHW, int8_to_fp32);
USE_LITE_KERNEL(calib_once, kARM, kInt8, kNCHW, fp32_to_int8);
USE_LITE_KERNEL(calib_once, kARM, kInt8, kNCHW, int8_to_fp32);
USE_LITE_KERNEL(conv2d, kARM, kInt8, kNCHW, int8_out);
USE_LITE_KERNEL(conv2d, kARM, kInt8, kNCHW, fp32_out);
USE_LITE_KERNEL(fc, kARM, kInt8, kNCHW, int8out);
USE_LITE_KERNEL(fc, kARM, kInt8, kNCHW, fp32out);
USE_LITE_KERNEL(gru_unit, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(gru, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(beam_search_decode, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(beam_search, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(while, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(lod_reset, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(lookup_table, kARM, kFloat, kNCHW, def)
USE_LITE_KERNEL(is_empty, kARM, kFloat, kNCHW, def)
129
USE_LITE_KERNEL(assign, kARM, kFloat, kNCHW, def);
Y
Yan Chunwei 已提交
130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156
#endif

#ifdef LITE_WITH_X86
// NOTE all the X86 kernels are disabled temporarily for kernel are changed.
// USE_LITE_KERNEL(relu, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(mul, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(fc, kX86, kFloat, kNCHW, def);
USE_LITE_KERNEL(scale, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(fill_constant, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(square, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(elementwise_sub, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(elementwise_add, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(softmax, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(dropout, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(concat, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(conv2d, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(depthwise_conv2d, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(pool2d, kX86, kFloat, kNCHW, def);
// USE_LITE_KERNEL(batch_norm, kX86, kFloat, kNCHW, def);
#endif

#ifdef LITE_WITH_CUDA
USE_LITE_KERNEL(mul, kCUDA, kFloat, kNCHW, def);
USE_LITE_KERNEL(io_copy, kCUDA, kAny, kAny, host_to_device);
USE_LITE_KERNEL(io_copy, kCUDA, kAny, kAny, device_to_host);
USE_LITE_KERNEL(io_copy_once, kCUDA, kAny, kAny, host_to_device);
USE_LITE_KERNEL(io_copy_once, kCUDA, kAny, kAny, device_to_host);
157
USE_LITE_KERNEL(leaky_relu, kCUDA, kFloat, kNCHW, def);
Y
Yan Chunwei 已提交
158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
#endif

#ifdef LITE_WITH_OPENCL
USE_LITE_KERNEL(io_copy, kOpenCL, kAny, kAny, host_to_device);
USE_LITE_KERNEL(io_copy, kOpenCL, kAny, kAny, device_to_host);
USE_LITE_KERNEL(io_copy_once, kOpenCL, kAny, kAny, host_to_device);
USE_LITE_KERNEL(io_copy_once, kOpenCL, kAny, kAny, device_to_host);

USE_LITE_KERNEL(fc, kOpenCL, kFloat, kNCHW, def);
USE_LITE_KERNEL(mul, kOpenCL, kFloat, kNCHW, def);
USE_LITE_KERNEL(elementwise_add, kOpenCL, kFloat, kNCHW, def);
USE_LITE_KERNEL(fusion_elementwise_add_activation, kOpenCL, kFloat, kNCHW, def);
USE_LITE_KERNEL(pool2d, kOpenCL, kFloat, kNCHW, def);
USE_LITE_KERNEL(relu, kOpenCL, kFloat, kNCHW, def);
USE_LITE_KERNEL(depthwise_conv2d, kOpenCL, kFloat, kNCHW, def);
USE_LITE_KERNEL(conv2d, kOpenCL, kFloat, kNCHW, def);
#endif

#ifdef LITE_WITH_NPU
USE_LITE_KERNEL(graph_op, kNPU, kFloat, kNCHW, def);
#endif
#ifdef LITE_WITH_FPGA
USE_LITE_KERNEL(relu, kFPGA, kFP16, kNHWC, def);
USE_LITE_KERNEL(conv2d, kFPGA, kFP16, kNHWC, def);
USE_LITE_KERNEL(elementwise_add, kFPGA, kFP16, kNHWC, def);
USE_LITE_KERNEL(fusion_elementwise_add_activation, kFPGA, kFP16, kNHWC, def);
USE_LITE_KERNEL(fc, kFPGA, kFP16, kNHWC, def);
USE_LITE_KERNEL(pool2d, kFPGA, kFP16, kNHWC, def);
USE_LITE_KERNEL(scale, kFPGA, kFP16, kNHWC, def);
USE_LITE_KERNEL(softmax, kFPGA, kFP16, kNHWC, def);
USE_LITE_KERNEL(io_copy, kFPGA, kAny, kAny, host_to_device);
USE_LITE_KERNEL(io_copy, kFPGA, kAny, kAny, device_to_host);
USE_LITE_KERNEL(io_copy_once, kFPGA, kAny, kAny, host_to_device_once);
USE_LITE_KERNEL(io_copy_once, kFPGA, kAny, kAny, device_to_host_once);
USE_LITE_KERNEL(calib, kFPGA, kFP16, kNHWC, fp32_to_fp16_fpga);
USE_LITE_KERNEL(calib, kFPGA, kFP16, kNHWC, fp16_to_fp32_fpga);
USE_LITE_KERNEL(calib_once, kFPGA, kFP16, kNHWC, fp32_to_fp16_fpga);
USE_LITE_KERNEL(calib_once, kFPGA, kFP16, kNHWC, fp16_to_fp32_fpga);
USE_LITE_KERNEL(layout, kFPGA, kAny, kNHWC, hwc_to_chw_fpga_fp16);
USE_LITE_KERNEL(layout, kFPGA, kAny, kNHWC, chw_to_hwc_fpga_fp16);
USE_LITE_KERNEL(layout_once, kFPGA, kAny, kNHWC, hwc_to_chw_fpga_fp16);
USE_LITE_KERNEL(layout_once, kFPGA, kAny, kNHWC, chw_to_hwc_fpga_fp16);
#endif