/* * Copyright (C) 2016-2022 T-Head Semiconductor Co., Ltd. All rights reserved. * * SPDX-License-Identifier: Apache-2.0 * * 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 * * 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. */ /* CSI-NN2 version 2.0.x */ #ifndef INCLUDE_SHL_PNNA_H_ #define INCLUDE_SHL_PNNA_H_ #include "csi_nn.h" #include "shl_utils.h" int shl_pnna_conv2d(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_tensor *kernel, struct csinn_tensor *bias, struct csinn_conv2d_params *params); int shl_pnna_depthwise_conv2d(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_tensor *kernel, struct csinn_tensor *bias, struct csinn_conv2d_params *params); int shl_pnna_group_conv2d(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_tensor *kernel, struct csinn_tensor *bias, struct csinn_conv2d_params *params); int shl_pnna_deconv2d(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_tensor *kernel, struct csinn_tensor *bias, struct csinn_conv2d_params *params); int shl_pnna_depthwise_deconv2d(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_tensor *kernel, struct csinn_tensor *bias, struct csinn_conv2d_params *params); int shl_pnna_fullyconnected(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_tensor *weights, struct csinn_tensor *bias, struct csinn_fc_params *params); int shl_pnna_maxpool2d(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_pool_params *params); int shl_pnna_avgpool2d(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_pool_params *params); int shl_pnna_global_avgpool2d(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_pool_params *params); int shl_pnna_global_maxpool2d(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_pool_params *params); int shl_pnna_negative(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_siso_params *params); int shl_pnna_tanh(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_siso_params *params); int shl_pnna_sigmoid(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_sigmoid_params *params); int shl_pnna_elu(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_relu_params *params); int shl_pnna_relu(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_relu_params *params); int shl_pnna_relu1(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_relu_params *params); int shl_pnna_relu6(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_relu_params *params); int shl_pnna_leaky_relu(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_relu_params *params); int shl_pnna_prelu(struct csinn_tensor *input, struct csinn_tensor *alpha, struct csinn_tensor *output, struct csinn_prelu_params *params); int shl_pnna_softmax(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_softmax_params *params); int shl_pnna_batch_normalization(struct csinn_tensor *input, struct csinn_tensor *mean, struct csinn_tensor *variance, struct csinn_tensor *gamma, struct csinn_tensor *beta, struct csinn_tensor *output, struct csinn_bn_params *params); int shl_pnna_l2_normalization(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_l2n_params *params); int shl_pnna_lrn(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_lrn_params *params); int shl_pnna_matmul(struct csinn_tensor *mat0, struct csinn_tensor *mat1, struct csinn_tensor *output, struct csinn_matmul_params *params); int shl_pnna_add(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_sub(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_mul(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_div(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_maximum(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_minimum(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_power(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_greater(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_less(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_equal(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_not_equal(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_greater_equal(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_less_equal(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_select(struct csinn_tensor *condition, struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_and(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_or(struct csinn_tensor *input0, struct csinn_tensor *input1, struct csinn_tensor *output, struct csinn_diso_params *params); int shl_pnna_pad(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_pad_params *params); int shl_pnna_resize(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_resize_params *params); int shl_pnna_concat(struct csinn_tensor **input, struct csinn_tensor *output, struct csinn_concat_params *params); int shl_pnna_transpose(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_transpose_params *params); int shl_pnna_reshape(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_reshape_params *params); int shl_pnna_shape(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_shape_params *params); int shl_pnna_flatten(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_flatten_params *params); int shl_pnna_crop(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_crop_params *params); int shl_pnna_slice(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_slice_params *params); int shl_pnna_split(struct csinn_tensor *input, struct csinn_tensor **output, struct csinn_split_params *params); int shl_pnna_squeeze(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_squeeze_params *params); int shl_pnna_space_to_batch_nd(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_space_to_batch_nd_params *params); int shl_pnna_batch_to_space_nd(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_batch_to_space_nd_params *params); int shl_pnna_space_to_depth(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_space_to_depth_params *params); int shl_pnna_depth_to_space(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_depth_to_space_params *params); int shl_pnna_sum(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_reduce_params *params); int shl_pnna_mean(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_reduce_params *params); int shl_pnna_max(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_reduce_params *params); int shl_pnna_min(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_reduce_params *params); int shl_pnna_prod(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_reduce_params *params); int shl_pnna_argmin(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_reduce_params *params); int shl_pnna_argmax(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_reduce_params *params); int shl_pnna_all(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_reduce_params *params); int shl_pnna_any(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_reduce_params *params); int shl_pnna_strided_slice(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_strided_slice_params *params); int shl_pnna_roipool(struct csinn_tensor *data, struct csinn_tensor *rois, struct csinn_tensor *output, struct csinn_roi_pool_params *params); int shl_pnna_proposal(struct csinn_tensor *cls_prob, struct csinn_tensor *bbox_pred, struct csinn_tensor *im_info, struct csinn_tensor *output, struct csinn_proposal_params *params); int shl_pnna_unpooling(struct csinn_tensor *input, struct csinn_tensor *mask, struct csinn_tensor *output, struct csinn_unpooling_params *params); int shl_pnna_maxpool2d_locat(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_pool_params *params); int shl_pnna_data_covert(struct csinn_tensor *input, struct csinn_tensor *output, struct csinn_siso_params *params); int shl_pnna_set_input_strides(struct csinn_session *sess, int input_byte_size, int input_fix_h, int input_fix_w); struct shl_pnna_tensor_fix { int height; int width; }; struct shl_pnna_target_data { void *network; void *net_obj; void *context; void *binding; void *attrs; void *graph; void *nodes; void *in_buffers; void *out_buffers; void *light_hwconfig; void *light_mapconfig; void *to_free; int priority; struct shl_pnna_tensor_fix **input_fix; enum csinn_quant_enum quant_type; }; #endif // INCLUDE_SHL_PNNA_H_