latest/amd_openvx_extensions/amd_nn/include/vx_amd_nn.h Source File

latest/amd_openvx_extensions/amd_nn/include/vx_amd_nn.h Source File#

MIVisionX: latest/amd_openvx_extensions/amd_nn/include/vx_amd_nn.h Source File
/*
Copyright (c) 2015 - 2024 Advanced Micro Devices, Inc. All rights reserved.
 
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
 
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
 
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
*/
 
#ifndef _VX_AMD_NN_H_
#define _VX_AMD_NN_H_
 
#include <VX/vx.h>
 
VX_API_ENTRY vx_node VX_API_CALL vxBatchNormalizationLayer(vx_graph graph, vx_tensor input, vx_tensor mean, vx_tensor variance, vx_tensor scale, vx_tensor bias, vx_float32 eps, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxScaleLayer(vx_graph graph, vx_tensor input, vx_tensor scale, vx_tensor bias, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxArgmaxLayer(vx_graph graph, vx_tensor input, vx_reference output);
 
VX_API_ENTRY vx_node VX_API_CALL vxConvertImageToTensorNode(vx_graph graph, vx_image input, vx_tensor output, vx_float32 a, vx_float32 b, vx_bool reverse_channel_order);
 
VX_API_ENTRY vx_node VX_API_CALL vxConvertTensorToImageNode(vx_graph graph, vx_tensor input, vx_image output, vx_float32 a, vx_float32 b, vx_bool reverse_channel_order);
 
VX_API_ENTRY vx_node VX_API_CALL vxConcatLayer(vx_graph graph, vx_tensor output, vx_tensor input1, vx_tensor input2, vx_tensor input3, vx_tensor input4, vx_tensor input5, vx_tensor input6, vx_tensor input7, vx_tensor input8, vx_int32 axis);
 
VX_API_ENTRY vx_node VX_API_CALL vxSliceLayer(vx_graph graph, vx_tensor input, vx_tensor output1, vx_tensor output2, vx_tensor output3, vx_tensor output4, vx_tensor output5, vx_tensor output6, vx_tensor output7, vx_tensor output8);
 
VX_API_ENTRY vx_node VX_API_CALL vxUpsampleNearestLayer(vx_graph graph, vx_tensor input, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxReshapeLayer(vx_graph graph, vx_tensor input, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxPermuteLayer(vx_graph graph, vx_tensor input, vx_array order, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxPriorBoxLayer(vx_graph graph, vx_tensor input_1, vx_tensor input_2, vx_float32 minSize, vx_array aspect_ratio, vx_int32 flip, vx_int32 clip, vx_float32 offset, vx_tensor output, vx_array variance, vx_float32 maxSize);
 
VX_API_ENTRY vx_node VX_API_CALL vxCropLayer(vx_graph graph, vx_tensor input, vx_tensor ref, vx_tensor output, vx_scalar axis, vx_scalar offset1, vx_scalar offset2, vx_scalar offset3, vx_scalar offset4);
 
VX_API_ENTRY vx_node VX_API_CALL vxCropAndResizeLayer(vx_graph graph, vx_tensor input, vx_tensor output, vx_scalar x_coord, vx_scalar y_coord, vx_scalar width, vx_scalar height, vx_scalar scaleFactor, vx_scalar mode);
 
VX_API_ENTRY vx_node VX_API_CALL vxTensorMinNode(vx_graph graph, vx_tensor input, vx_tensor input2, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxTensorMaxNode(vx_graph graph, vx_tensor input, vx_tensor input2, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxDetectionOutputLayer(vx_graph graph, vx_tensor input1, vx_tensor input2, vx_tensor input3, vx_int32 num_classes, vx_int32 share_location, vx_int32 background_label_id, vx_float32 nms_threshold, vx_int32 code_type, vx_int32 keep_top_k, vx_int32 variance_encoded_in_target, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxCastLayer(vx_graph graph, vx_tensor input, vx_int32 output_data_type, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxTensorExpNode(vx_graph graph, vx_tensor input, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxTensorLogNode(vx_graph graph, vx_tensor input, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxNMSLayer(vx_graph graph, vx_tensor boxes, vx_tensor scores, vx_int32 center_point_box, vx_tensor output, vx_tensor max_output_boxes_per_class, vx_tensor iou_threshold, vx_tensor score_threshold);
 
VX_API_ENTRY vx_node VX_API_CALL vxGatherLayer(vx_graph graph, vx_tensor input, vx_tensor indices, vx_tensor output, vx_int32 axis);
 
VX_API_ENTRY vx_node VX_API_CALL vxTopKLayer(vx_graph graph, vx_tensor x_tensor, vx_tensor k_tensor, vx_int32 axis, vx_int32 largest, vx_int32 sorted, vx_tensor values, vx_tensor indices);
 
VX_API_ENTRY vx_node VX_API_CALL vxReduceMinLayer(vx_graph graph, vx_tensor data, vx_array axes, vx_int32 keepdims, vx_tensor reduced);
 
VX_API_ENTRY vx_node VX_API_CALL vxTileLayer(vx_graph graph, vx_tensor input, vx_tensor repeats, vx_tensor output);
 
VX_API_ENTRY vx_node VX_API_CALL vxTensorCompareNode(vx_graph graph, vx_tensor input, vx_tensor input2, vx_tensor output);
 
#endif