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| /* | ||
| // Copyright (c) 2018 Intel Corporation | ||
| // | ||
| // 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. | ||
| */ | ||
|
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| /////////////////////////////////////////////////////////////////////////////////////////////////// | ||
| #ifndef FUSED_CONV_ELTWISE_H | ||
| #define FUSED_CONV_ELTWISE_H | ||
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| #include "api/C/cldnn.h" | ||
| /// @addtogroup c_api C API | ||
| /// @{ | ||
| /// @addtogroup c_topology Network Topology | ||
| /// @{ | ||
| /// @addtogroup c_primitives Primitives | ||
| /// @{ | ||
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| #ifdef __cplusplus | ||
| extern "C" { | ||
| #endif | ||
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| /// @brief Performs forward spatial convolution with weight sharing fused with eltwise. | ||
| /// Also supports built-in Relu @CLDNN_PRIMITIVE_DESC{activation} separate for convolution and for eltwise, available by setting it in arguments. | ||
| CLDNN_BEGIN_PRIMITIVE_DESC(fused_conv_eltwise) | ||
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| struct conv_data | ||
| { | ||
| /// @brief Defines a shift, relative to (0,0) position of the input buffer, where (0,0) point of the convolution window should start calculations. | ||
| cldnn_tensor input_offset; | ||
| /// @brief Defines shift in input buffer between adjacent calculations of output values. | ||
| cldnn_tensor stride; | ||
| /// @brief Defines gaps in the input - dilation rate k=1 is normal convolution, k=2 means skipping one pixel per input, k=4 means skipping 3 pixels. | ||
| /// As an example in one dimension, a filter w of size 3 would compute over input x the following: w[0]*x[0] + w[1]*x[1] + w[2]*x[2] for dilation of 1. | ||
| /// For dilation 2 the filter would instead compute w[0]*x[0] + w[1]*x[2] + w[2]*x[4]. | ||
| cldnn_tensor dilation; | ||
| /// @brief Enable Relu activation. | ||
| uint32_t with_activation; | ||
| /// @brief Relu activation slope. | ||
| float activation_negative_slope; | ||
| /// @brief On how many cards split the computation to. | ||
| uint32_t split; | ||
| /// @brief Indicates that the primitive has user-defined output size (non-zero value). | ||
| uint32_t with_output_size; | ||
| /// @brief User-defined output data size of the primitive (w/o padding). | ||
| cldnn_tensor output_size; | ||
| /// @brief Array of primitive ids containing weights data. Size of array should be equivalent to @p split. | ||
| cldnn_primitive_id_arr weights; | ||
| /// @brief Array of primitive ids containing bias data. Size of array should be equivalent to @p split. | ||
| cldnn_primitive_id_arr bias; | ||
| /// @brief List of primitive ids containing weights quanitization factors per output feature map. | ||
| cldnn_primitive_id_arr weights_quantization_factors; | ||
| /// @brief List of primitive ids containing output calibration factors per output feature map. | ||
| cldnn_primitive_id_arr output_calibration_factors; | ||
| /// @brief Input quantization factor | ||
| float input_quantization_factor; | ||
| /// @brief Output quantization factor | ||
| float output_quantization_factor; | ||
| } conv; | ||
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| struct eltw_data | ||
| { | ||
| /// @brief Primitive id containing output quanitization factors per output feature map. | ||
| cldnn_primitive_id output_calibration_factors; | ||
| /// @brief Output quantization factor | ||
| float output_quantization_factor; | ||
| /// @brief Eltwise mode. See #cldnn_eltwise_mode. | ||
| int32_t mode; /*cldnn_eltwise_mode*/ | ||
| /// @brief Blob-wise coefficient for SUM operation | ||
| cldnn_float_arr coefficients; | ||
| /// @brief Enables Relu activation. | ||
| uint32_t with_activation; | ||
| /// @brief Relu activation slope. | ||
| float activation_negative_slope; | ||
| /// @brief Defines shift in input buffers between adjacent calculations of output values. | ||
| cldnn_tensor_arr stride; | ||
| } eltw; | ||
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| CLDNN_END_PRIMITIVE_DESC(fused_conv_eltwise) | ||
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| CLDNN_DECLARE_PRIMITIVE_TYPE_ID(fused_conv_eltwise); | ||
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| #ifdef __cplusplus | ||
| } | ||
| #endif | ||
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| /// @} | ||
| /// @} | ||
| /// @} | ||
| #endif /* FUSED_CONV_ELTWISE_H */ | ||
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