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[Feature](bangc-ops): Add new binary op mluOpDCNBackwardData. (#903)
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bangc-ops/kernels/dcn_backward_data/dcn_backward_data.cpp
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/************************************************************************* | ||
* Copyright (C) [2022] by Cambricon, Inc. | ||
* | ||
* 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. | ||
*************************************************************************/ | ||
#include <limits.h> | ||
#include <math.h> | ||
#include <vector> | ||
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#include "kernels/utils/cnnl_helper.h" | ||
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#define DCNBPDATA_API "mluOpDcnBackwardData" | ||
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mluOpStatus_t MLUOP_WIN_API | ||
mluOpCreateDCNDescriptor(mluOpDCNDescriptor_t *dcn_desc) { | ||
PARAM_CHECK(DCNBPDATA_API, dcn_desc != NULL); | ||
CHECK_FUNC_RETURN(cnnlCreateDCNDescriptor(dcn_desc), CNNL_STATUS_SUCCESS, | ||
"[mluOpDcnBackwardData] Internal error accured in " | ||
"mluOpCreateDCNDescriptor.", | ||
MLUOP_STATUS_INTERNAL_ERROR); | ||
return MLUOP_STATUS_SUCCESS; | ||
} | ||
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mluOpStatus_t MLUOP_WIN_API | ||
mluOpDestroyDCNDescriptor(mluOpDCNDescriptor_t dcn_desc) { | ||
PARAM_CHECK(DCNBPDATA_API, dcn_desc != NULL); | ||
CHECK_FUNC_RETURN(cnnlDestroyDCNDescriptor(dcn_desc), CNNL_STATUS_SUCCESS, | ||
"[mluOpDcnBackwardData] Internal error accured in " | ||
"mluOpDestroyDCNDescriptor.", | ||
MLUOP_STATUS_INTERNAL_ERROR); | ||
return MLUOP_STATUS_SUCCESS; | ||
} | ||
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mluOpStatus_t MLUOP_WIN_API mluOpSetDCNDescriptor( | ||
mluOpDCNDescriptor_t dcn_desc, int dimNb, const int pad[], | ||
const int stride[], const int dilation[], int deformable_group, | ||
int conv_group, int im2col_step, const mluOpDataType_t compute_type) { | ||
PARAM_CHECK(DCNBPDATA_API, dcn_desc != NULL); | ||
CHECK_FUNC_RETURN( | ||
cnnlSetDCNDescriptor(dcn_desc, dimNb, pad, stride, dilation, | ||
deformable_group, conv_group, im2col_step, | ||
cnnlDataType_t(compute_type)), | ||
CNNL_STATUS_SUCCESS, | ||
"[mluOpDcnBackwardData] Internal error accured in mluOpSetDCNDescriptor.", | ||
MLUOP_STATUS_INTERNAL_ERROR); | ||
return MLUOP_STATUS_SUCCESS; | ||
} | ||
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mluOpStatus_t MLUOP_WIN_API mluOpGetDCNBakcwardDataWorkspaceSize( | ||
mluOpHandle_t handle, const mluOpDCNDescriptor_t dcn_desc, | ||
const mluOpTensorDescriptor_t input_desc, | ||
const mluOpTensorDescriptor_t offset_desc, | ||
const mluOpTensorDescriptor_t mask_desc, | ||
const mluOpTensorDescriptor_t filter_desc, | ||
const mluOpTensorDescriptor_t grad_output_desc, | ||
const mluOpTensorDescriptor_t grad_input_desc, | ||
const mluOpTensorDescriptor_t grad_offset_desc, | ||
const mluOpTensorDescriptor_t grad_mask_desc, size_t *workspace_size) { | ||
PARAM_CHECK(DCNBPDATA_API, handle != NULL); | ||
PARAM_CHECK(DCNBPDATA_API, dcn_desc != NULL); | ||
PARAM_CHECK(DCNBPDATA_API, input_desc != NULL); | ||
PARAM_CHECK(DCNBPDATA_API, offset_desc != NULL); | ||
PARAM_CHECK(DCNBPDATA_API, filter_desc != NULL); | ||
PARAM_CHECK(DCNBPDATA_API, dcn_desc != NULL); | ||
PARAM_CHECK(DCNBPDATA_API, grad_output_desc != NULL); | ||
PARAM_CHECK(DCNBPDATA_API, grad_input_desc != NULL); | ||
PARAM_CHECK(DCNBPDATA_API, grad_offset_desc != NULL); | ||
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DEFINE_CREATE_AND_SET_CNNL_HANDLE(handle, cnnl_handle); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(input_desc, cnnl_input_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(offset_desc, cnnl_offset_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(mask_desc, cnnl_mask_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(filter_desc, cnnl_filter_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(grad_output_desc, | ||
cnnl_grad_output_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(grad_input_desc, | ||
cnnl_grad_input_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(grad_offset_desc, | ||
cnnl_grad_offset_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(grad_mask_desc, | ||
cnnl_grad_mask_desc); | ||
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CHECK_FUNC_RETURN( | ||
cnnlGetDCNBakcwardDataWorkspaceSize( | ||
cnnl_handle, dcn_desc, cnnl_input_desc, cnnl_offset_desc, | ||
cnnl_mask_desc, cnnl_filter_desc, cnnl_grad_output_desc, | ||
cnnl_grad_input_desc, cnnl_grad_offset_desc, cnnl_grad_mask_desc, | ||
workspace_size), | ||
CNNL_STATUS_SUCCESS, | ||
"[mluOpDcnBackwardData] Internal error accured in mluOpReduce.", | ||
MLUOP_STATUS_INTERNAL_ERROR); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_input_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_offset_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_mask_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_filter_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_grad_output_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_grad_input_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_grad_offset_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_grad_mask_desc); | ||
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DESTROY_CNNL_HANDLE(cnnl_handle); | ||
return MLUOP_STATUS_SUCCESS; | ||
} | ||
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mluOpStatus_t MLUOP_WIN_API mluOpDCNBackwardData( | ||
mluOpHandle_t handle, const mluOpDCNDescriptor_t dcn_desc, | ||
const mluOpTensorDescriptor_t input_desc, const void *input, | ||
const mluOpTensorDescriptor_t offset_desc, const void *offset, | ||
const mluOpTensorDescriptor_t mask_desc, const void *mask, | ||
const mluOpTensorDescriptor_t filter_desc, const void *filter, | ||
const mluOpTensorDescriptor_t grad_output_desc, const void *grad_output, | ||
void *workspace, const size_t workspace_size, | ||
const mluOpTensorDescriptor_t grad_input_desc, void *grad_input, | ||
const mluOpTensorDescriptor_t grad_offset_desc, void *grad_offset, | ||
const mluOpTensorDescriptor_t grad_mask_desc, void *grad_mask) { | ||
PARAM_CHECK(DCNBPDATA_API, handle != NULL); | ||
if (workspace_size > 0) { | ||
PARAM_CHECK(DCNBPDATA_API, workspace != NULL); | ||
} | ||
DEFINE_CREATE_AND_SET_CNNL_HANDLE(handle, cnnl_handle); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(input_desc, cnnl_input_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(offset_desc, cnnl_offset_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(mask_desc, cnnl_mask_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(filter_desc, cnnl_filter_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(grad_output_desc, | ||
cnnl_grad_output_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(grad_input_desc, | ||
cnnl_grad_input_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(grad_offset_desc, | ||
cnnl_grad_offset_desc); | ||
DEFINE_CREATE_AND_SET_CNNL_TENSOR_DESCRIPTOR(grad_mask_desc, | ||
cnnl_grad_mask_desc); | ||
CHECK_FUNC_RETURN( | ||
cnnlDCNBackwardData( | ||
cnnl_handle, dcn_desc, cnnl_input_desc, input, cnnl_offset_desc, | ||
offset, cnnl_mask_desc, mask, cnnl_filter_desc, filter, | ||
cnnl_grad_output_desc, grad_output, workspace, workspace_size, | ||
cnnl_grad_input_desc, grad_input, cnnl_grad_offset_desc, grad_offset, | ||
cnnl_grad_mask_desc, grad_mask), | ||
CNNL_STATUS_SUCCESS, | ||
"[mluOpDcnBackwardData] Internal error accured in mluOpDcnBackwardData.", | ||
MLUOP_STATUS_INTERNAL_ERROR); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_input_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_offset_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_mask_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_filter_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_grad_output_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_grad_input_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_grad_offset_desc); | ||
DESTROY_CNNL_TENSOR_DESCRIPTOR(cnnl_grad_mask_desc); | ||
DESTROY_CNNL_HANDLE(cnnl_handle); | ||
return MLUOP_STATUS_SUCCESS; | ||
} |
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