load_ops.h 6.0 KB
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/* Copyright (c) 2018 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. */

#pragma once

#ifdef PADDLE_MOBILE_CPU
#define LOAD_CPU_OP(op_type)                                           \
  extern int TouchOpRegistrar_##op_type##_##cpu();                     \
  static int use_op_itself_##op_type##_##cpu __attribute__((unused)) = \
      TouchOpRegistrar_##op_type##_##cpu()
#else
#define LOAD_CPU_OP(op_type)
#endif

#ifdef PADDLE_MOBILE_MALI_GPU
#define LOAD_MALI_GPU_OP(op_type)                                           \
  extern int TouchOpRegistrar_##op_type##_##mali_gpu();                     \
  static int use_op_itself_##op_type##_##mali_gpu __attribute__((unused)) = \
      TouchOpRegistrar_##op_type##_##mali_gpu()
#else
#define LOAD_MALI_GPU_OP(op_type)
#endif

#ifdef PADDLE_MOBILE_FPGA
#define LOAD_FPGA_OP(op_type)                                           \
  extern int TouchOpRegistrar_##op_type##_##fpga();                     \
  static int use_op_itself_##op_type##_##fpga __attribute__((unused)) = \
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      TouchOpRegistrar_##op_type##_##fpga()
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#else
#define LOAD_FPGA_OP(op_type)
#endif

#define LOAD_FUSION_MATCHER(op_type)                                       \
  extern int TouchFusionMatcherRegistrar_##op_type();                      \
  static int use_fusion_matcher_itself_##op_type __attribute__((unused)) = \
      TouchFusionMatcherRegistrar_##op_type();

#define LOAD_OP(op_type)     \
  LOAD_CPU_OP(op_type);      \
  LOAD_MALI_GPU_OP(op_type); \
  LOAD_FPGA_OP(op_type);

#define LOAD_OP1(op_type, device_type) LOAD_##device_type##_OP(op_type);

#define LOAD_OP2(op_type, device_type1, device_type2) \
  LOAD_OP1(op_type, device_type1)                     \
  LOAD_OP1(op_type, device_type2)

#define LOAD_OP3(op_type, device_type1, device_type2, device_type3) \
  LOAD_OP2(op_type, device_type1, device_type2)                     \
  LOAD_OP1(op_type, device_type3)

// load requared ops
LOAD_OP(feed)
LOAD_OP(fetch)
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#ifdef FILL_CONSTANT_OP
LOAD_OP(fill_constant)
#endif
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#ifdef BATCHNORM_OP
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LOAD_OP2(batch_norm, CPU, MALI_GPU);
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#endif
#ifdef BILINEAR_INTERP_OP
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LOAD_OP1(bilinear_interp, CPU);
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#endif
#ifdef BOXCODER_OP
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LOAD_OP1(box_coder, CPU);
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#endif
#ifdef CONCAT_OP
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LOAD_OP3(concat, CPU, MALI_GPU, FPGA);
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#endif
#ifdef CONV_OP
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LOAD_OP3(conv2d, CPU, MALI_GPU, FPGA);
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#endif
#ifdef LRN_OP
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LOAD_OP2(lrn, CPU, MALI_GPU);
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#endif
#ifdef SIGMOID_OP
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LOAD_OP1(sigmoid, CPU);
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#endif
#ifdef FUSION_FC_RELU_OP
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LOAD_OP3(fusion_fc_relu, CPU, MALI_GPU, FPGA);
LOAD_FUSION_MATCHER(fusion_fc_relu);
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#endif
#ifdef FUSION_ELEMENTWISEADDRELU_OP
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LOAD_OP3(fusion_elementwise_add_relu, CPU, MALI_GPU, FPGA);
LOAD_FUSION_MATCHER(fusion_elementwise_add_relu);
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#endif
#ifdef SPLIT_OP
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LOAD_OP1(split, CPU);
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#endif
#ifdef RESIZE_OP
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LOAD_OP2(resize, CPU, MALI_GPU);
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#endif
#ifdef FUSION_CONVADDBNRELU_OP
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LOAD_OP2(fusion_conv_add_bn_relu, CPU, FPGA);
LOAD_FUSION_MATCHER(fusion_conv_add_bn_relu);
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#endif
#ifdef RESHAPE_OP
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LOAD_OP2(reshape, CPU, MALI_GPU);
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#endif
#ifdef TRANSPOSE_OP
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LOAD_OP1(transpose, CPU);
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#endif
#ifdef PRIORBOX_OP
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LOAD_OP1(prior_box, CPU);
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#endif
#ifdef FUSION_CONVADDRELU_OP
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LOAD_OP2(fusion_conv_add_relu, CPU, FPGA);
LOAD_FUSION_MATCHER(fusion_conv_add_relu);
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#endif
#ifdef FUSION_CONVADDADDPRELU_OP
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LOAD_OP2(fusion_conv_add_add_prelu, CPU, FPGA);
LOAD_FUSION_MATCHER(fusion_conv_add_add_prelu);
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#endif
#ifdef FUSION_CONVADD_OP
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LOAD_OP2(fusion_conv_add, CPU, MALI_GPU);
LOAD_FUSION_MATCHER(fusion_conv_add);
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#endif
#ifdef SOFTMAX_OP
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LOAD_OP2(softmax, CPU, MALI_GPU);
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#endif
#ifdef SHAPE_OP
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LOAD_OP1(shape, CPU);
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#endif
#ifdef DEPTHWISECONV_OP
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LOAD_OP1(depthwise_conv2d, CPU);
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#endif
#ifdef CONV_TRANSPOSE_OP
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LOAD_OP1(conv2d_transpose, CPU);
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#endif
#ifdef SCALE_OP
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LOAD_OP2(scale, CPU, MALI_GPU);
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#endif
#ifdef ELEMENTWISEADD_OP
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LOAD_OP2(elementwise_add, CPU, MALI_GPU);
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#endif
#ifdef PRELU_OP
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LOAD_OP2(prelu, CPU, MALI_GPU);
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#endif
#ifdef FLATTEN_OP
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LOAD_OP1(flatten, CPU);
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#endif
#ifdef FUSION_CONVBNADDRELU_OP
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LOAD_OP2(fusion_conv_bn_add_relu, CPU, FPGA);
LOAD_FUSION_MATCHER(fusion_conv_bn_add_relu);
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#endif
#ifdef FUSION_CONVBNRELU_OP
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LOAD_OP2(fusion_conv_bn_relu, CPU, FPGA);
LOAD_FUSION_MATCHER(fusion_conv_bn_relu);
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#endif
#ifdef GRU_OP
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LOAD_OP1(gru, CPU);
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#endif
#ifdef FUSION_CONVADDBN_OP
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LOAD_OP2(fusion_conv_add_bn, CPU, FPGA);
LOAD_FUSION_MATCHER(fusion_conv_add_bn);
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#endif
#ifdef DROPOUT_OP
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LOAD_OP2(dropout, CPU, FPGA);
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#endif
#ifdef FUSION_CONVADDPRELU_OP
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LOAD_OP2(fusion_conv_add_prelu, CPU, FPGA);
LOAD_FUSION_MATCHER(fusion_conv_add_prelu);
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#endif
#ifdef FUSION_DWCONVBNRELU_OP
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LOAD_OP1(fusion_dwconv_bn_relu, CPU);
LOAD_FUSION_MATCHER(fusion_dwconv_bn_relu);
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#endif
#ifdef CRF_OP
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LOAD_OP1(crf_decoding, CPU);
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#endif
#ifdef MUL_OP
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LOAD_OP2(mul, CPU, MALI_GPU);
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#endif
#ifdef RELU_OP
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LOAD_OP2(relu, CPU, MALI_GPU);
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#endif
#ifdef IM2SEQUENCE_OP
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LOAD_OP1(im2sequence, CPU);
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#endif
#ifdef LOOKUP_OP
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LOAD_OP1(lookup_table, CPU);
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#endif
#ifdef FUSION_FC_OP
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LOAD_OP3(fusion_fc, CPU, MALI_GPU, FPGA);
LOAD_FUSION_MATCHER(fusion_fc);
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#endif
#ifdef POOL_OP
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LOAD_OP3(pool2d, CPU, MALI_GPU, FPGA);
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#endif
#ifdef MULTICLASSNMS_OP
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LOAD_OP1(multiclass_nms, CPU);
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#endif
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#ifdef POLYGONBOXTRANSFORM_OP
LOAD_OP1(polygon_box_transform, CPU);
#endif
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#ifdef SUM_OP
LOAD_OP1(sum, CPU);
#endif
#ifdef ELEMENTWISEMUL_OP
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LOAD_OP1(elementwise_mul, CPU);
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#endif
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#ifdef SLICE_OP
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LOAD_OP2(slice, CPU, MALI_GPU);
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#endif
#ifdef FUSION_CONVBN_OP
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LOAD_OP2(fusion_conv_bn, CPU, FPGA);
LOAD_FUSION_MATCHER(fusion_conv_bn);
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#endif
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#ifdef ELEMENTWISESUB_OP
LOAD_OP1(elementwise_sub, CPU)
#endif
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#ifdef QUANT_OP
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LOAD_OP1(quantize, CPU);
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#endif
#ifdef DEQUANT_OP
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LOAD_OP1(dequantize, CPU);
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#endif