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// cudamatrix/cu-kernels-ansi.h
// Copyright 2009-2012 Karel Vesely
// 2013 Johns Hopkins University (author: Daniel Povey)
// 2013 Hainan Xu
// 2013 Xiaohui Zhang
// 2013-2015 Guoguo Chen
// 2016-2018 Shiyin Kang
// 2019 Yiwen Shao
// See ../../COPYING for clarification regarding multiple authors
//
// 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
//
// THIS CODE IS PROVIDED *AS IS* BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, EITHER EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION ANY IMPLIED
// WARRANTIES OR CONDITIONS OF TITLE, FITNESS FOR A PARTICULAR PURPOSE,
// MERCHANTABLITY OR NON-INFRINGEMENT.
// See the Apache 2 License for the specific language governing permissions and
// limitations under the License.
#ifndef KALDI_CUDAMATRIX_CU_KERNELS_ANSI_H_
#define KALDI_CUDAMATRIX_CU_KERNELS_ANSI_H_
#include "cudamatrix/cu-matrixdim.h"
#if HAVE_CUDA == 1
extern "C" {
// "C" version of the BaseFloat typedef-- this saves us having to write
// multiple versions of these kernels.
#if (KALDI_DOUBLEPRECISION != 0)
typedef double BaseFloat;
#else
typedef float BaseFloat;
#endif
void cudaD_add_row_sum_mat(int Gr, int Bl, double* result, const double* mat,
const MatrixDim d, const double alpha,
const double beta);
void cudaF_add_row_sum_mat(int Gr, int Bl, float* result, const float* mat,
const MatrixDim d, const float alpha,
const float beta);
void cudaD_add_col_sum_mat(int Gr, int Bl, double* result, const double* mat,
const MatrixDim d, const double alpha,
const double beta);
void cudaF_add_col_sum_mat(int Gr, int Bl, float* result, const float* mat,
const MatrixDim d, const float alpha,
const float beta);
void cudaD_add_cols(dim3 Gr, dim3 Bl, double* dst, const double* src,
const MatrixIndexT_cuda* reorder, MatrixDim dst_dim,
int src_stride);
void cudaF_add_cols(dim3 Gr, dim3 Bl, float* dst, const float* src,
const MatrixIndexT_cuda* reorder, MatrixDim dst_dim,
int src_stride);
void cudaD_add_diag_mat_mat_MN(dim3 Gr, dim3 Bl, const double alpha,
const double* M, const int strid_M,
const double* N, const MatrixDim dim_N,
const double beta, double* v);
void cudaF_add_diag_mat_mat_MN(dim3 Gr, dim3 Bl, const float alpha,
const float* M, const int strid_M,
const float* N, const MatrixDim dim_N,
const float beta, float* v);
void cudaD_add_diag_mat_mat_MNT(int Gr, int Bl, const double alpha,
const double* M, const MatrixDim dim_M,
const double* N, const int stride_N,
const double beta, double* v);
void cudaF_add_diag_mat_mat_MNT(int Gr, int Bl, const float alpha,
const float* M, const MatrixDim dim_M,
const float* N, const int stride_N,
const float beta, float* v);
void cudaD_add_diag_mat_mat_MTN(dim3 Gr, dim3 Bl, const double alpha,
const double* M, const int strid_M,
const double* N, const MatrixDim dim_N,
const double beta, double* v,
const int stride_v);
void cudaF_add_diag_mat_mat_MTN(dim3 Gr, dim3 Bl, const float alpha,
const float* M, const int strid_M,
const float* N, const MatrixDim dim_N,
const float beta, float* v, const int stride_v);
void cudaD_add_diag_packed(int Gr, int Bl, double* mat, double value, int dim);
void cudaF_add_diag_packed(int Gr, int Bl, float* mat, float value, int dim);
void cudaD_add_diag_vec_mat(dim3 Gr, dim3 Bl, double alpha, double *mat,
MatrixDim mat_dim, const double *vec,
const double *mat2, int mat2_row_stride,
int mat2_col_stride, double beta);
void cudaF_add_diag_vec_mat(dim3 Gr, dim3 Bl, float alpha, float *mat,
MatrixDim mat_dim, const float *vec,
const float *mat2, int mat2_row_stride,
int mat2_col_stride, float beta);
void cudaD_add(dim3 Gr, dim3 Bl, double *mat, double value, MatrixDim d);
void cudaF_add(dim3 Gr, dim3 Bl, float *mat, float value, MatrixDim d);
void cudaD_add_mat_blockmat(dim3 Gr, dim3 Bl, double *data, MatrixDim d,
const double *Adata, int A_num_rows, int A_num_cols,
int A_row_stride, int A_col_stride,
const CuBlockMatrixData *B_cu_data,
int B_num_blocks, double alpha, double beta,
int B_trans);
void cudaF_add_mat_blockmat(dim3 Gr, dim3 Bl, float *data, MatrixDim d,
const float *Adata, int A_num_rows, int A_num_cols,
int A_row_stride, int A_col_stride,
const CuBlockMatrixData *B_cu_data,
int B_num_blocks, float alpha, float beta,
int B_trans);
void cudaD_add_mat_blocks(dim3 Gr, dim3 Bl, double alpha, const double *src,
int32_cuda num_row_blocks, int32_cuda num_col_blocks,
double *dst, MatrixDim d, int src_stride,
int A_trans);
void cudaF_add_mat_blocks(dim3 Gr, dim3 Bl, float alpha, const float *src,
int32_cuda num_row_blocks, int32_cuda num_col_blocks,
float *dst, MatrixDim d, int src_stride, int A_trans);
void cudaD_add_mat_repeated(dim3 Gr, dim3 Bl, double alpha, const double *src,
MatrixDim src_dim, double *dst, MatrixDim dst_dim);
void cudaF_add_mat_repeated(dim3 Gr, dim3 Bl, float alpha, const float *src,
MatrixDim src_dim, float *dst, MatrixDim dst_dim);
void cudaD_add_mat_diag_vec(dim3 Gr, dim3 Bl, double alpha, double *mat,
MatrixDim mat_dim, const double *mat2,
int mat2_row_stride, int mat2_col_stride,
const double *vec, double beta);
void cudaF_add_mat_diag_vec(dim3 Gr, dim3 Bl, float alpha, float *mat,
MatrixDim mat_dim, const float *mat2,
int mat2_row_stride, int mat2_col_stride,
const float *vec, float beta);
void cudaD_add_mat(dim3 Gr, dim3 Bl, double alpha, const double *src,
double *dst, MatrixDim d, int src_stride, int A_trans);
void cudaF_add_mat(dim3 Gr, dim3 Bl, float alpha, const float *src, float *dst,
MatrixDim d, int src_stride, int A_trans);
void cudaD_add_mat_mat_elements(dim3 Gr, dim3 Bl, double *data,
const double *srcA_data,
const double *srcB_data, MatrixDim dim,
int srcA_stride, int srcB_stride, double alpha,
double beta);
void cudaF_add_mat_mat_elements(dim3 Gr, dim3 Bl, float *data,
const float *srcA_data, const float *srcB_data,
MatrixDim dim, int srcA_stride, int srcB_stride,
float alpha, float beta);
void cudaD_add_row_ranges(dim3 Gr, dim3 Bl, double *data, MatrixDim dim,
const double *src_data, MatrixDim src_dim,
const Int32Pair *indexes);
void cudaF_add_row_ranges(dim3 Gr, dim3 Bl, float *data, MatrixDim dim,
const float *src_data, MatrixDim src_dim,
const Int32Pair *indexes);
void cudaD_add_rows(dim3 Gr, dim3 Bl, double alpha, double* dst,
const double* src, const MatrixIndexT_cuda* reorder,
MatrixDim dst_dim, int src_stride);
void cudaF_add_rows(dim3 Gr, dim3 Bl, float alpha, float* dst, const float* src,
const MatrixIndexT_cuda* reorder, MatrixDim dst_dim,
int src_stride);
void cudaD_mul_rows(dim3 Gr, dim3 Bl, double* dst,
const double* src, const MatrixIndexT_cuda* reorder,
MatrixDim dst_dim, int src_stride);
void cudaF_mul_rows(dim3 Gr, dim3 Bl, float* dst, const float* src,
const MatrixIndexT_cuda* reorder, MatrixDim dst_dim,
int src_stride);
void cudaD_add_rows_direct(dim3 Gr, dim3 Bl, double alpha, double* dst,
const double* const * src, MatrixDim dst_dim);
void cudaF_add_rows_direct(dim3 Gr, dim3 Bl, float alpha, float* dst,
const float* const * src, MatrixDim dst_dim);
void cudaD_add_smat(dim3 Gr, dim3 Bl, double* mat, MatrixDim mat_dim,
double alpha, const int* smat_row_ptr,
const int* smat_col_idx, const double* smat_val);
void cudaF_add_smat(dim3 Gr, dim3 Bl, float* mat, MatrixDim mat_dim,
float alpha, const int* smat_row_ptr,
const int* smat_col_idx, const float* smat_val);
void cudaD_add_smat_trans(dim3 Gr, dim3 Bl, double* mat, MatrixDim mat_dim,
double alpha, const int* smat_row_ptr,
const int* smat_col_idx, const double* smat_val);
void cudaF_add_smat_trans(dim3 Gr, dim3 Bl, float* mat, MatrixDim mat_dim,
float alpha, const int* smat_row_ptr,
const int* smat_col_idx, const float* smat_val);
void cudaD_add_to_rows_direct(dim3 Gr, dim3 Bl, double alpha,
double* const * dst, const double* src,
MatrixDim src_dim);
void cudaF_add_to_rows_direct(dim3 Gr, dim3 Bl, float alpha, float* const * dst,
const float* src, MatrixDim src_dim);
void cudaD_add_to_rows(dim3 Gr, dim3 Bl, double alpha,
double* dst, const double* src,
const MatrixIndexT_cuda* reorder,
MatrixDim src_dim, int dst_stride);
void cudaF_add_to_rows(dim3 Gr, dim3 Bl, float alpha,
float* dst, const float* src,
const MatrixIndexT_cuda* reorder,
MatrixDim src_dim, int dst_stride);
void cudaD_add_vec2(dim3 Gr, dim3 Bl, double *mat, const double *vec,
const double alpha, int dim);
void cudaF_add_vec2(dim3 Gr, dim3 Bl, float* mat, const float* vec,
const float alpha, int dim);
void cudaD_add_vec_to_cols(dim3 Gr, dim3 Bl, double alpha, const double *col,
double beta, double *dst, MatrixDim d);
void cudaF_add_vec_to_cols(dim3 Gr, dim3 Bl, float alpha, const float *col,
float beta, float *dst, MatrixDim d);
void cudaD_add_vec_to_rows(dim3 Gr, dim3 Bl, double alpha, const double *row,
double beta, double *dst, MatrixDim d);
void cudaF_add_vec_to_rows(dim3 Gr, dim3 Bl, float alpha, const float *row,
float beta, float *dst, MatrixDim d);
void cudaD_add_vec_vec(int Gr, int Bl, double alpha, double* v, const double* x,
const double* y, double beta, int dim);
void cudaF_add_vec_vec(int Gr, int Bl, float alpha, float* v, const float* x,
const float* y, float beta, int dim);
void cudaD_block_add_mat_mat(dim3 Gr, dim3 Bl, CuBlockMatrixData *B_cu_data,
int num_blocks, const double *C_data,
int C_num_cols, int C_row_stride, int C_col_stride,
const double *D_data, int D_row_stride,
int D_col_stride, double alpha, double beta);
void cudaF_block_add_mat_mat(dim3 Gr, dim3 Bl, CuBlockMatrixData *B_cu_data,
int num_blocks, const float *C_data,
int C_num_cols, int C_row_stride, int C_col_stride,
const float *D_data, int D_row_stride,
int D_col_stride, float alpha, float beta);
void cudaD_calc_group_max_deriv(dim3 Gr, dim3 Bl, double *y, const double *x1,
const double *x2, MatrixDim y_dim,
int x1_stride, int x2_stride, int group_size);
void cudaF_calc_group_max_deriv(dim3 Gr, dim3 Bl, float *y, const float *x1,
const float *x2, MatrixDim y_dim, int x1_stride,
int x2_stride, int group_size);
void cudaD_comp_obj_deriv(dim3 Gr, dim3 Bl, MatrixElement<double>* x, int s,
const double* z, MatrixDim d, double* z2,
MatrixDim d2, double* t);
void cudaF_comp_obj_deriv(dim3 Gr, dim3 Bl, MatrixElement<float>* x, int s,
const float* z, MatrixDim d, float* z2, MatrixDim d2,
float* t);
void cudaD_copy_col_from_mat_df(int Gr, int Bl, double* v, int col,
const double* mat, MatrixDim dmat, int dim);
void cudaF_copy_col_from_mat_df(int Gr, int Bl, double* v, int col,
const float* mat, MatrixDim dmat, int dim);
void cudaD_copy_col_from_mat_fd(int Gr, int Bl, float* v, int col,
const double* mat, MatrixDim dmat, int dim);
void cudaF_copy_col_from_mat_fd(int Gr, int Bl, float* v, int col,
const float* mat, MatrixDim dmat, int dim);
void cudaD_copy_cols(dim3 Gr, dim3 Bl, double* dst, const double* src,
const MatrixIndexT_cuda* reorder, MatrixDim dst_dim,
int src_stride);
void cudaF_copy_cols(dim3 Gr, dim3 Bl, float* dst, const float* src,
const MatrixIndexT_cuda* reorder, MatrixDim dst_dim,
int src_stride);
void cudaD_copy_cols_from_vec(dim3 Gr, dim3 Bl, double *mat_out,
MatrixDim d_out, const double *v_in);
void cudaF_copy_cols_from_vec(dim3 Gr, dim3 Bl, float *mat_out, MatrixDim d_out,
const float *v_in);
void cudaD_copy(dim3 Gr, dim3 Bl, double *y, const double *x,
const int32_cuda *copy_from, MatrixDim d_out, MatrixDim d_in);
void cudaF_copy(dim3 Gr, dim3 Bl, float *y, const float *x,
const int32_cuda *copy_from, MatrixDim d_out, MatrixDim d_in);
void cuda_copy_from_mat_dd(dim3 Gr, dim3 Bl, double *mat_out,
const double* mat_in, MatrixDim d_out,
MatrixDim d_in);
void cuda_copy_from_mat_dd_trans(dim3 Gr, dim3 Bl, double *mat_out,
const double* mat_in, MatrixDim d_out,
MatrixDim d_in);
void cuda_copy_from_mat_df(dim3 Gr, dim3 Bl, double* mat_out,
const float* mat_in, MatrixDim d_out,
MatrixDim d_in);
void cuda_copy_from_mat_df_trans(dim3 Gr, dim3 Bl, double* mat_out,
const float* mat_in, MatrixDim d_out,
MatrixDim d_in);
void cuda_copy_from_mat_fd(dim3 Gr, dim3 Bl, float *mat_out,
const double* mat_in, MatrixDim d_out,
MatrixDim d_in);
void cuda_copy_from_mat_fd_trans(dim3 Gr, dim3 Bl, float *mat_out,
const double* mat_in, MatrixDim d_out,
MatrixDim d_in);
void cuda_copy_from_mat_ff(dim3 Gr, dim3 Bl, float* mat_out,
const float* mat_in, MatrixDim d_out,
MatrixDim d_in);
void cuda_copy_from_mat_ff_trans(dim3 Gr, dim3 Bl, float* mat_out,
const float* mat_in, MatrixDim d_out,
MatrixDim d_in);
void cuda_copy_from_smat_dd(dim3 Gr, dim3 Bl, double* mat, MatrixDim mat_dim,
const int* smat_row_ptr, const int* smat_col_idx,
const double* smat_val);
void cuda_copy_from_smat_dd_trans(dim3 Gr, dim3 Bl, double* mat,
MatrixDim mat_dim, const int* smat_row_ptr,
const int* smat_col_idx,
const double* smat_val);
void cuda_copy_from_smat_df(dim3 Gr, dim3 Bl, double* mat, MatrixDim mat_dim,
const int* smat_row_ptr, const int* smat_col_idx,
const float* smat_val);
void cuda_copy_from_smat_df_trans(dim3 Gr, dim3 Bl, double* mat,
MatrixDim mat_dim, const int* smat_row_ptr,
const int* smat_col_idx,
const float* smat_val);
void cuda_copy_from_smat_fd(dim3 Gr, dim3 Bl, float* mat, MatrixDim mat_dim,
const int* smat_row_ptr, const int* smat_col_idx,
const double* smat_val);
void cuda_copy_from_smat_fd_trans(dim3 Gr, dim3 Bl, float* mat,
MatrixDim mat_dim, const int* smat_row_ptr,
const int* smat_col_idx,
const double* smat_val);
void cuda_copy_from_smat_ff(dim3 Gr, dim3 Bl, float* mat, MatrixDim mat_dim,
const int* smat_row_ptr, const int* smat_col_idx,
const float* smat_val);
void cuda_copy_from_smat_ff_trans(dim3 Gr, dim3 Bl, float* mat,
MatrixDim mat_dim, const int* smat_row_ptr,
const int* smat_col_idx,
const float* smat_val);
void cudaD_copy_from_sp(dim3 Gr, dim3 Bl, const double* x, double* y,
MatrixDim d_out);
void cudaF_copy_from_sp(dim3 Gr, dim3 Bl, const float* x, float* y,
MatrixDim d_out);
void cudaD_copy_from_tp(dim3 Gr, dim3 Bl, double* A, const double* B,
MatrixDim dmat);
void cudaDF_copy_from_tp(dim3 Gr, dim3 Bl, double* A, const float* B,
MatrixDim dmat);
void cudaFD_copy_from_tp(dim3 Gr, dim3 Bl, float* A, const double* B,
MatrixDim dmat);
void cudaF_copy_from_tp(dim3 Gr, dim3 Bl, float* A, const float* B,
MatrixDim dmat);
void cudaD_copy_from_tp_trans(dim3 Gr, dim3 Bl, double* A, const double* B,
MatrixDim dmat);
void cudaDF_copy_from_tp_trans(dim3 Gr, dim3 Bl, double* A, const float* B,
MatrixDim dmat);
void cudaFD_copy_from_tp_trans(dim3 Gr, dim3 Bl, float* A, const double* B,
MatrixDim dmat);
void cudaF_copy_from_tp_trans(dim3 Gr, dim3 Bl, float* A, const float* B,
MatrixDim dmat);
void cublas_copy_kaldi_df(int Gr, int Bl, int n, const double* x, int incx,
float* y, int incy);
void cublas_copy_kaldi_fd(int Gr, int Bl, int n, const float* x, int incx,
double* y, int incy);
void cudaD_copy_low_upp(dim3 Gr, dim3 Bl, double* A, MatrixDim dimA);
void cudaF_copy_low_upp(dim3 Gr, dim3 Bl, float* A, MatrixDim dimA);
void cudaD_copy_rows(dim3 Gr, dim3 Bl, double* dst, const double* src,
const MatrixIndexT_cuda* reorder, MatrixDim dst_dim,
int src_stride);
void cudaF_copy_rows(dim3 Gr, dim3 Bl, float* dst, const float* src,
const MatrixIndexT_cuda* reorder, MatrixDim dst_dim,
int src_stride);
void cudaD_copy_rows_direct(dim3 Gr, dim3 Bl, double* dst,
const double* const * src, MatrixDim dst_dim);
void cudaF_copy_rows_direct(dim3 Gr, dim3 Bl, float* dst,
const float* const * src, MatrixDim dst_dim);
void cudaD_copy_rows_from_vec(dim3 Gr, dim3 Bl, double *mat_out,
MatrixDim d_out, const double *v_in);
void cudaF_copy_rows_from_vec(dim3 Gr, dim3 Bl, float *mat_out, MatrixDim d_out,
const float *v_in);
void cudaD_copy_to_rows_direct(dim3 Gr, dim3 Bl, double* const * dst,
const double* src, MatrixDim src_dim);
void cudaF_copy_to_rows_direct(dim3 Gr, dim3 Bl, float* const * dst,
const float* src, MatrixDim src_dim);
void cudaD_copy_upp_low(dim3 Gr, dim3 Bl, double* A, MatrixDim dimB);
void cudaF_copy_upp_low(dim3 Gr, dim3 Bl, float* A, MatrixDim dimA);
void cudaD_diff_group_pnorm(dim3 Gr, dim3 Bl, double *id, const double *iv,
const double *ov, const double* od,
MatrixDim id_dim, int iv_stride, int ov_stride,
int od_stride, int group_size, double power);
void cudaF_diff_group_pnorm(dim3 Gr, dim3 Bl, float *id, const float *iv,
const float *ov, const float* od, MatrixDim id_dim,
int iv_stride, int ov_stride, int od_stride,
int group_size, float power);
void cudaD_diff_log_softmax(dim3 Gr, dim3 Bl, const MatrixDim in_deriv_dim,
const double* out_value, const int out_value_stride,
const double* out_deriv, const int out_deriv_stride,
double* in_deriv);
void cudaF_diff_log_softmax(dim3 Gr, dim3 Bl, const MatrixDim in_deriv_dim,
const float* out_value, const int out_value_stride,
const float* out_deriv, const int out_deriv_stride,
float* in_deriv);
void cudaD_diff_lstm_nonlinearity(dim3 Gr, dim3 Bl, const int cell_dim,
const int have_dropout_mask,
const int num_rows, const double* input,
const int in_stride, const double* params,
const int params_stride,
const double* output_deriv,
const int output_deriv_stride,
const double* deriv_sum_in,
const int deriv_sum_in_stride,
const double* self_repair_config,
double count, double* input_deriv,
const int input_deriv_stride,
double* params_deriv,
const int params_deriv_stride,
double* value_sum_out,
const int value_sum_out_stride,
double* deriv_sum_out,
const int deriv_sum_out_stride,
double* self_repair_sum_out,
const int self_repair_sum_out_stride);
void cudaF_diff_lstm_nonlinearity(dim3 Gr, dim3 Bl, const int cell_dim,
const int have_dropout_mask,
const int num_rows, const float* input,
const int in_stride, const float* params,
const int params_stride,
const float* output_deriv,
const int output_deriv_stride,
const double* deriv_sum_in,
const int deriv_sum_in_stride,
const float* self_repair_config, double count,
float* input_deriv,
const int input_deriv_stride,
float* params_deriv,
const int params_deriv_stride,
double* value_sum_out,
const int value_sum_out_stride,
double* deriv_sum_out,
const int deriv_sum_out_stride,
float* self_repair_sum_out,
const int self_repair_sum_out_stride);
void cudaD_diff_normalize_per_row(size_t Gr, size_t Bl, double *id,
int id_stride, const double *iv,
MatrixDim iv_dim, const double* od,
int od_stride, double target_rms,
bool add_log_stddev);
void cudaF_diff_normalize_per_row(size_t Gr, size_t Bl, float *id,
int id_stride, const float *iv,
MatrixDim iv_dim, const float* od,
int od_stride, float target_rms,
bool add_log_stddev);
void cudaD_diff_parametric_relu(dim3 Gr, dim3 Bl, double *eout, const double *e,
const double *y, MatrixDim d, int e_stride,
int y_stride, const double *a, const double *b);
void cudaF_diff_parametric_relu(dim3 Gr, dim3 Bl, float *eout, const float *e,
const float *y, MatrixDim d, int e_stride,
int y_stride, const float *a, const float *b);
void cudaD_diff_sigmoid(dim3 Gr, dim3 Bl, double *eout, const double *e,
const double *y, MatrixDim d, int e_stride,
int y_stride);
void cudaF_diff_sigmoid(dim3 Gr, dim3 Bl, float *eout, const float *e,
const float *y, MatrixDim d, int e_stride,
int y_stride);
void cudaD_diff_softmax(dim3 Gr, dim3 Bl, double* x, const MatrixDim dim,
const double* value, const int value_stride,
const double* diff, const int diff_stride);
void cudaF_diff_softmax(dim3 Gr, dim3 Bl, float* x, const MatrixDim dim,
const float* value, const int value_stride,
const float* diff, const int diff_stride);
void cudaD_diff_tanh(dim3 Gr, dim3 Bl, double *eout, const double *e,
const double *y, MatrixDim d, int e_stride, int y_stride);
void cudaF_diff_tanh(dim3 Gr, dim3 Bl, float *eout, const float *e,
const float *y, MatrixDim d, int e_stride, int y_stride);
void cudaD_ensure_nonzero(dim3 Gr, dim3 Bl, const double *x, MatrixDim d,
double epsilon, int y_stride, double *y);
void cudaF_ensure_nonzero(dim3 Gr, dim3 Bl, const float *x, MatrixDim d,
float epsilon, int y_stride, float *y);
void cudaD_diff_xent(dim3 Gr, dim3 Bl, const int32_cuda *vec_tgt,
double *mat_net_out, double *vec_log_post, MatrixDim d);
void cudaF_diff_xent(dim3 Gr, dim3 Bl, const int32_cuda *vec_tgt,
float *mat_net_out, float *vec_log_post, MatrixDim d);
void cudaD_div_elements(dim3 Gr, dim3 Bl, double *mat, const double *A,
MatrixDim dst_d, int src_stride);
void cudaF_div_elements(dim3 Gr, dim3 Bl, float *mat, const float *A,
MatrixDim dst_d, int src_stride);
void cudaD_div_rows_vec(dim3 Gr, dim3 Bl, double *mat, const double *vec_div,
MatrixDim d);
void cudaF_div_rows_vec(dim3 Gr, dim3 Bl, float *mat, const float *vec_div,
MatrixDim d);
void cudaD_equal_element_mask(dim3 Gr, dim3 Bl, const double *mat1,
const double *mat2, double *mask,
MatrixDim mat1_dim, int mat2_stride,
int mask_stride);
void cudaF_equal_element_mask(dim3 Gr, dim3 Bl, const float *mat1,
const float *mat2, float *mask,
MatrixDim mat1_dim, int mat2_stride,
int mask_stride);
void cudaD_find_row_max_id(dim3 Gr, dim3 Bl, const double *mat, double *vec_val,
int32_cuda *vec_id, MatrixDim d);
void cudaF_find_row_max_id(dim3 Gr, dim3 Bl, const float *mat, float *vec_val,
int32_cuda *vec_id, MatrixDim d);
void cudaD_group_max(dim3 Gr, dim3 Bl, double *y, const double *x, MatrixDim d,
int src_stride, int group_size);
void cudaF_group_max(dim3 Gr, dim3 Bl, float *y, const float *x, MatrixDim d,
int src_stride, int group_size);
void cudaD_group_pnorm(dim3 Gr, dim3 Bl, double *y, const double *x,
MatrixDim d, int src_stride, int group_size,
double power);
void cudaF_group_pnorm(dim3 Gr, dim3 Bl, float *y, const float *x, MatrixDim d,
int src_stride, int group_size, float power);
void cudaD_group_spec_pnorm(dim3 Gr, dim3 Bl, double *y, const double *x,
MatrixDim d, int src_stride, int group_size,
double power);
void cudaF_group_spec_pnorm(dim3 Gr, dim3 Bl, float *y, const float *x,
MatrixDim d, int src_stride, int group_size,
float power);
void cudaD_heaviside(dim3 Gr, dim3 Bl, double *y, const double *x, MatrixDim d,
int src_stride);
void cudaF_heaviside(dim3 Gr, dim3 Bl, float *y, const float *x, MatrixDim d,
int src_stride);
void cudaD_exp(dim3 Gr, dim3 Bl, double *y, const double *x, MatrixDim d,
int src_stride);
void cudaF_exp(dim3 Gr, dim3 Bl, float *y, const float *x, MatrixDim d,
int src_stride);
void cudaD_pow(dim3 Gr, dim3 Bl, double *y, const double *x, double power, MatrixDim d,
int src_stride);
void cudaF_pow(dim3 Gr, dim3 Bl, float *y, const float *x, float power, MatrixDim d,
int src_stride);
void cudaD_ceiling(dim3 Gr, dim3 Bl, double* y, const double* x, double ceiling_val,
MatrixDim dim, int src_stride);
void cudaF_ceiling(dim3 Gr, dim3 Bl, float* y, const float* x, float ceiling_val,
MatrixDim dim, int src_stride);
void cudaD_floor(dim3 Gr, dim3 Bl, double* y, const double* x, double floor_val,
MatrixDim dim, int src_stride);
void cudaF_floor(dim3 Gr, dim3 Bl, float* y, const float* x, float floor_val,
MatrixDim dim, int src_stride);
void cudaD_exp_limited(dim3 Gr, dim3 Bl, double* y, const double* x,
double lower_limit, double upper_limit, MatrixDim d, int src_stride);
void cudaF_exp_limited(dim3 Gr, dim3 Bl, float* y, const float* x,
float lower_limit, float upper_limit, MatrixDim d, int src_stride);
void cudaD_exp_special(dim3 Gr, dim3 Bl, double* y, const double* x,
MatrixDim d, int src_stride);
void cudaF_exp_special(dim3 Gr, dim3 Bl, float* y, const float* x,
MatrixDim d, int src_stride);
void cudaD_log(dim3 Gr, dim3 Bl, double* y, const double* x, MatrixDim d, int src_stride);
void cudaF_log(dim3 Gr, dim3 Bl, float* y, const float* x, MatrixDim d, int src_stride);
void cudaD_pow_abs(dim3 Gr, dim3 Bl, double* y, const double* x, double power,
bool include_sign, MatrixDim dim, int src_stride);
void cudaF_pow_abs(dim3 Gr, dim3 Bl, float* y, const float* x, float power,
bool include_sign, MatrixDim dim, int src_stride);
void cuda_int32_add(dim3 Gr, dim3 Bl, int32_cuda *mat, int32_cuda value,
MatrixDim d);
void cuda_int32_set_const(dim3 Gr, dim3 Bl, int32_cuda *mat, int32_cuda value,
MatrixDim d);
void cuda_int32_sequence(dim3 Gr, dim3 Bl, int32_cuda* data, int length,
int32_cuda base);
void cudaD_invert_elements(dim3 Gr, dim3 Bl, double *data, MatrixDim d);
void cudaF_invert_elements(dim3 Gr, dim3 Bl, float *data, MatrixDim d);
void cudaD_log_softmax_reduce(size_t Gr, size_t Bl, double *y, const double *x,
MatrixDim y_dim, int x_stride);
void cudaF_log_softmax_reduce(size_t Gr, size_t Bl, float *y, const float *x,
MatrixDim y_dim, int x_stride);
void cudaD_lstm_nonlinearity(dim3 Gr, dim3 Bl, const double* in,
const int in_stride, const double* params,
const int params_stride, const int out_stride,
const int cell_dim, const int have_dropout_mask,
const int num_rows,
double* out);
void cudaF_lstm_nonlinearity(dim3 Gr, dim3 Bl, const float* in,
const int in_stride, const float* params,
const int params_stride, const int out_stride,
const int cell_dim, const int have_dropout_mask,
const int num_rows,
float* out);
void cudaD_matrix_add_elements(dim3 Gr, dim3 Bl, double *data, MatrixDim dim,
double alpha, MatrixElement<double>* x,
int num_elements);
void cudaF_matrix_add_elements(dim3 Gr, dim3 Bl, float *data, MatrixDim dim,
float alpha, MatrixElement<float>* x,
int num_elements);
void cudaD_matrix_add_indexed_values(dim3 Gr, dim3 Bl, MatrixDim dim,
double alpha, const Int32Pair* indices,
const double* x, int s, double* data);
void cudaF_matrix_add_indexed_values(dim3 Gr, dim3 Bl, MatrixDim dim,
float alpha, const Int32Pair* indices,
const float* x, int s, float* data);
void cudaD_matrix_add_to_elements(dim3 Gr, dim3 Bl, double alpha,
double* mat, MatrixDim dim,
const MatrixIndexT_cuda* elements);
void cudaF_matrix_add_to_elements(dim3 Gr, dim3 Bl, float alpha,
float* mat, MatrixDim dim,
const MatrixIndexT_cuda* elements);
void cudaD_matrix_lookup(dim3 Gr, dim3 Bl, const double *data, MatrixDim dim,
const Int32Pair *indices, int indices_size,
double *output);
void cudaF_matrix_lookup(dim3 Gr, dim3 Bl, const float *data, MatrixDim dim,
const Int32Pair *indices, int indices_size,
float *output);
void cudaD_vector_copy_elements(dim3 Gr, dim3 Bl, double *data, int dim,
const double *src_mat, int mat_stride,
bool transpose,
const MatrixIndexT_cuda* elements);
void cudaF_vector_copy_elements(dim3 Gr, dim3 Bl, float *data, int dim,
const float *src_mat, int mat_stride,
bool transpose,
const MatrixIndexT_cuda* elements);
void cudaD_max(dim3 Gr, dim3 Bl, double *mat, const double *A, MatrixDim dst_d,
int src_stride);
void cudaF_max(dim3 Gr, dim3 Bl, float *mat, const float *A, MatrixDim dst_d,
int src_stride);
void cudaD_max_mat_cols(int Gr, int Bl, double* result, const double* mat,
const MatrixDim d);
void cudaF_max_mat_cols(int Gr, int Bl, float* result, const float* mat,
const MatrixDim d);
void cudaD_min(dim3 Gr, dim3 Bl, double *mat, const double *other,
MatrixDim mat_d, int other_stride);
void cudaF_min(dim3 Gr, dim3 Bl, float *mat, const float *other,
MatrixDim mat_d, int other_stride);
void cudaD_min_mat_cols(int Gr, int Bl, double* result, const double* mat,
const MatrixDim d);
void cudaF_min_mat_cols(int Gr, int Bl, float* result, const float* mat,
const MatrixDim d);
void cudaD_mul_cols_vec(dim3 Gr, dim3 Bl, double *mat, const double *scale,
MatrixDim d);
void cudaF_mul_cols_vec(dim3 Gr, dim3 Bl, float *mat, const float *scale,
MatrixDim d);
void cudaD_mul_elements(dim3 Gr, dim3 Bl, double *mat, const double *A,
MatrixDim dst_d, int src_stride);
void cudaF_mul_elements(dim3 Gr, dim3 Bl, float *mat, const float *A,
MatrixDim dst_d, int src_stride);
void cudaD_mul_rows_group_mat(dim3 Gr, dim3 Bl, double *y, const double *x,
MatrixDim d, int src_stride, int group_size);
void cudaF_mul_rows_group_mat(dim3 Gr, dim3 Bl, float *y, const float *x,
MatrixDim d, int src_stride, int group_size);
void cudaD_mul_rows_vec(dim3 Gr, dim3 Bl, double *mat, const double *scale,
MatrixDim d);
void cudaF_mul_rows_vec(dim3 Gr, dim3 Bl, float *mat, const float *scale,
MatrixDim d);
void cudaD_normalize_per_row(size_t Gr, size_t Bl, double *y, int y_stride,
const double *x, MatrixDim x_d, double tartget_rms,
bool add_log_stddev);
void cudaF_normalize_per_row(size_t Gr, size_t Bl, float *y, int y_stride,
const float *x, MatrixDim x_d, float tartget_rms,
bool add_log_stddev);
void cudaD_one(int Gr, int Bl, double* x, int dim);
void cudaF_one(int Gr, int Bl, float* x, int dim);
void cudaD_parametric_relu(dim3 Gr, dim3 Bl, double *y, const double *x,
MatrixDim d, int src_stride, const double *a,
const double *b);
void cudaF_parametric_relu(dim3 Gr, dim3 Bl, float *y, const float *x,
MatrixDim d, int src_stride, const float *a,
const float *b);
void cudaD_randomize(dim3 Gr, dim3 Bl, double *y, const double *x,
const int32_cuda *copy_from, MatrixDim d_out,
MatrixDim d_in);
void cudaF_randomize(dim3 Gr, dim3 Bl, float *y, const float *x,
const int32_cuda *copy_from, MatrixDim d_out,
MatrixDim d_in);
void cudaD_regularize_l1(dim3 Gr, dim3 Bl, double *wei, double *grad, double l1,
double lr, MatrixDim d, int stride_grad);
void cudaF_regularize_l1(dim3 Gr, dim3 Bl, float *wei, float *grad, float l1,
float lr, MatrixDim d, int stride_grad);
void cudaD_replace_value(int Gr, int Bl, double *v, int dim, double orig,
double changed);
void cudaF_replace_value(int Gr, int Bl, float *v, int dim, float orig,
float changed);
void cudaD_scale_diag_packed(int Gr, int Bl, double* mat, double value,
int dim);
void cudaF_scale_diag_packed(int Gr, int Bl, float* mat, float value, int dim);
void cudaD_scale(dim3 Gr, dim3 Bl, double *mat, double value, MatrixDim d);
void cudaF_scale(dim3 Gr, dim3 Bl, float *mat, float value, MatrixDim d);
void cudaD_select_rows(dim3 Gr, dim3 Bl, const int* out_row_ptr,
int* out_col_idx, double* out_val,
const int* row_indexes, const int num_selected_rows,
const int* in_row_ptr, const int* in_col_idx,
const double* in_val);
void cudaF_select_rows(dim3 Gr, dim3 Bl, const int* out_row_ptr,
int* out_col_idx, float* out_val, const int* row_indexes,
const int num_selected_rows, const int* in_row_ptr,
const int* in_col_idx, const float* in_val);
void cudaD_set_bias_params(int Gr, int Bl, double* v, const double* a,
double param_1, double param_2, double param_3,
int* flag, int dim);
void cudaF_set_bias_params(int Gr, int Bl, float* v, const float* a,
float param_1, float param_2, float param_3,
int* flag, int dim);
void cudaD_set_const(dim3 Gr, dim3 Bl, double *mat, double value, MatrixDim d);
void cudaF_set_const(dim3 Gr, dim3 Bl, float *mat, float value, MatrixDim d);
void cudaD_set_diag(int Gr, int Bl, double* mat, double value, MatrixDim d);
void cudaF_set_diag(int Gr, int Bl, float* mat, float value, MatrixDim d);
void cudaD_set_diag_packed(int Gr, int Bl, double* mat, double value, int dim);
void cudaF_set_diag_packed(int Gr, int Bl, float* mat, float value, int dim);
void cudaD_set_mat_mat_div_mat(dim3 Gr, dim3 Bl, const double *A,
const double *B, const double *C, double *dst,
MatrixDim d, int stride_a, int stride_b,
int stride_c);
void cudaF_set_mat_mat_div_mat(dim3 Gr, dim3 Bl, const float *A, const float *B,
const float *C, float *dst, MatrixDim d,
int stride_a, int stride_b, int stride_c);
void cudaD_set_zero_above_diag(dim3 Gr, dim3 Bl, double* mat, MatrixDim d);
void cudaF_set_zero_above_diag(dim3 Gr, dim3 Bl, float* mat, MatrixDim d);
void cudaD_sigmoid(dim3 Gr, dim3 Bl, double *y, const double *x, MatrixDim d,
int src_stride);
void cudaF_sigmoid(dim3 Gr, dim3 Bl, float *y, const float *x, MatrixDim d,
int src_stride);
void cudaD_soft_hinge(dim3 Gr, dim3 Bl, double *y, const double *x, MatrixDim d,
int src_stride);
void cudaF_soft_hinge(dim3 Gr, dim3 Bl, float *y, const float *x, MatrixDim d,
int src_stride);
void cudaD_softmax_reduce(size_t Gr, size_t Bl, double *y, const double *x,
MatrixDim d, int src_stride);
void cudaF_softmax_reduce(size_t Gr, size_t Bl, float *y, const float *x,
MatrixDim d, int src_stride);
void cudaD_splice(dim3 Gr, dim3 Bl, double *y, const double *x,
const int32_cuda *off, MatrixDim d_out, MatrixDim d_in);
void cudaF_splice(dim3 Gr, dim3 Bl, float *y, const float *x,
const int32_cuda *off, MatrixDim d_out, MatrixDim d_in);
void cudaD_sum_column_ranges(dim3 Gr, dim3 Bl, double *data, MatrixDim dim,
const double *src_data, MatrixDim src_dim,
const Int32Pair *indices);
void cudaF_sum_column_ranges(dim3 Gr, dim3 Bl, float *data, MatrixDim dim,
const float *src_data, MatrixDim src_dim,
const Int32Pair *indices);
void cudaD_sum_mat_cols(int Gr, int Bl, double* result, const double* mat,
const MatrixDim d);
void cudaF_sum_mat_cols(int Gr, int Bl, float* result, const float* mat,
const MatrixDim d);
void cudaD_sy_add_tr2(dim3 Gr, dim3 Bl, double alpha, double beta,
const double* T, MatrixDim tdim, double *S,
MatrixDim sdim);
void cudaF_sy_add_tr2(dim3 Gr, dim3 Bl, float alpha, float beta, const float* T,
MatrixDim tdim, float *S, MatrixDim sdim);
void cudaD_take_lower(dim3 Gr, dim3 Bl, const double* x, double* y,
MatrixDim d_in);
void cudaF_take_lower(dim3 Gr, dim3 Bl, const float* x, float* y,
MatrixDim d_in);
void cudaD_take_mean(dim3 Gr, dim3 Bl, const double* x, double* y,
MatrixDim d_in);
void cudaF_take_mean(dim3 Gr, dim3 Bl, const float* x, float* y,
MatrixDim d_in);
void cudaD_take_upper(dim3 Gr, dim3 Bl, const double* x, double* y,
MatrixDim d_in);
void cudaF_take_upper(dim3 Gr, dim3 Bl, const float* x, float* y,
MatrixDim d_in);
void cudaD_tanh(dim3 Gr, dim3 Bl, double *y, const double *x, MatrixDim d,
int src_stride);
void cudaF_tanh(dim3 Gr, dim3 Bl, float *y, const float *x, MatrixDim d,
int src_stride);
void cudaD_trace(int Gr, int Bl, double* mat, double* value, int dim);
void cudaF_trace(int Gr, int Bl, float* mat, float* value, int dim);
void cudaD_trace_mat_mat(dim3 Gr, dim3 Bl, const double* A, const double* B,
MatrixDim dA, int B_stride, double* value);
void cudaF_trace_mat_mat(dim3 Gr, dim3 Bl, const float* A, const float* B,
MatrixDim dA, int B_stride, float* value);
void cudaD_trace_mat_mat_trans(dim3 Gr, dim3 Bl, const double* A,
const double* B, MatrixDim dA, int B_stride,
double* value);
void cudaF_trace_mat_mat_trans(dim3 Gr, dim3 Bl, const float* A, const float* B,
MatrixDim dA, int B_stride, float* value);
void cudaD_trace_mat_smat(dim3 Gr, dim3 Bl, const double* mat,
MatrixDim mat_dim, const int* smat_row_ptr,
const int* smat_col_idx, const double* smat_val,
double* trace_vec);
void cudaF_trace_mat_smat(dim3 Gr, dim3 Bl, const float* mat, MatrixDim mat_dim,
const int* smat_row_ptr, const int* smat_col_idx,
const float* smat_val, float* trace_vec);
void cudaD_trace_mat_smat_trans(dim3 Gr, dim3 Bl, const double* mat,
MatrixDim mat_dim, const int* smat_row_ptr,
const int* smat_col_idx, const double* smat_val,
double* trace_vec);
void cudaF_trace_mat_smat_trans(dim3 Gr, dim3 Bl, const float* mat,
MatrixDim mat_dim, const int* smat_row_ptr,
const int* smat_col_idx, const float* smat_val,
float* trace_vec);
void cudaD_vec_apply_ceiling(int Gr, int Bl, double* v, double ceiling_val,
float* num, int dim);
void cudaF_vec_apply_ceiling(int Gr, int Bl, float* v, float ceiling_val,
float* num, int dim);
void cudaD_vec_apply_exp(int Gr, int Bl, double* v, int dim);
void cudaF_vec_apply_exp(int Gr, int Bl, float* v, int dim);
void cudaD_vec_apply_floor(int Gr, int Bl, double* v, double floor_val,
float* num, int dim);
void cudaF_vec_apply_floor(int Gr, int Bl, float* v, float floor_val,
float* num, int dim);
void cudaD_vec_apply_log(int Gr, int Bl, double* v, double* flag, int dim);
void cudaF_vec_apply_log(int Gr, int Bl, float* v, float* flag, int dim);
void cudaD_vec_copy_diag_from_packed(int Gr, int Bl, double *dst,
const double *src, int dim);
void cudaF_vec_copy_diag_from_packed(int Gr, int Bl, float *dst,
const float *src, int dim);
void cudaD_vec_max(int Gr, int Bl, const double* v, double* value, int dim,
int inc);
void cudaF_vec_max(int Gr, int Bl, const float* v, float* value, int dim,
int inc);
void cudaD_vec_min(int Gr, int Bl, const double* v, double* value, int dim,
int inc);
void cudaF_vec_min(int Gr, int Bl, const float* v, float* value, int dim,
int inc);
void cudaD_vec_mul_elements(int Gr, int Bl, double* v, const double* a,
int dim);
void cudaF_vec_mul_elements(int Gr, int Bl, float* v, const float* a, int dim);
void cudaD_vec_soft_max(int Gr, int Bl, double* v, int dim);
void cudaF_vec_soft_max(int Gr, int Bl, float* v, int dim);
void cudaD_vec_sum(int Gr, int Bl, double* v, double* value, int dim, int inc);
void cudaF_vec_sum(int Gr, int Bl, float* v, float* value, int dim, int inc);
void cuda_compress_int16(dim3 Gr, dim3 Bl, const BaseFloat *src,
MatrixDim dim, int16_t *dest,
int dest_stride, float inv_scale,
bool bounds_check);
void cuda_compress_uint16(dim3 Gr, dim3 Bl, const BaseFloat *src,
MatrixDim dim, uint16_t *dest,
int dest_stride, float inv_scale,
bool bounds_check);
void cuda_compress_uint8(dim3 Gr, dim3 Bl, const BaseFloat *src,
MatrixDim dim, uint8_t *dest,
int dest_stride, float inv_scale,
bool bounds_check);
void cuda_compress_int8(dim3 Gr, dim3 Bl, const BaseFloat *src,
MatrixDim dim, int8_t *dest,
int dest_stride, float inv_scale,
bool bounds_check);
void cuda_compress_uint8_sign(dim3 Gr, dim3 Bl, const BaseFloat *src,
MatrixDim dim, uint8_t *dest, int dest_stride);
void cuda_uncompress_int16(dim3 Gr, dim3 Bl, BaseFloat *dest,
MatrixDim dim, const int16_t *src,
int src_stride, float scale);
void cuda_uncompress_uint16(dim3 Gr, dim3 Bl, BaseFloat *dest,
MatrixDim dim, const uint16_t *src,
int src_stride, float scale);
void cuda_uncompress_int8(dim3 Gr, dim3 Bl, BaseFloat *dest,
MatrixDim dim, const int8_t *src,
int src_stride, float scale);
void cuda_uncompress_uint8(dim3 Gr, dim3 Bl, BaseFloat *dest,
MatrixDim dim, const uint8_t *src,
int src_stride, float scale);
// copies the sub matrix in src[range_start, range_end] to the matrix in dst
// if src row is outside of the clamped range it will clamp to the specified
// rows. src and dst cannot overlap.
void cudaF_mat_copy_range_clamped(
int32_t row_start, int32_t row_end, int32_t num_cols,
const float *src, int32_t lds,
int32_t clamp_low, int32_t clamp_high,
float *dst, int32_t ldd);
void cudaD_mat_copy_range_clamped(
int32_t row_start, int32_t row_end, int32_t num_cols,
const double *src, int32_t lds,
int32_t clamp_low, int32_t clamp_high,
double *dst, int32_t ldd);
// for i=[0,num_mats) perform the matrix copy outputs[i] = inputs[i] where
// the matrices are of size num_rows[i] x num_cols[i] and have a leading
// dimension of ldo[i] for the output and ldi[i] for the input.
void cudaF_batched_copy_mats(int32_t num_mats, int32_t *num_rows,
int32_t *num_cols, const float **inputs, int32_t *ldi, float **outputs,
int32_t *ldo);
void cudaD_batched_copy_mats(int32_t num_mats, int32_t *num_rows,
int32_t *num_cols, const double **inputs, int32_t *ldi, double **outputs,
int32_t *ldo);
// Launches a kernel that does nothing, explicitly using the legacy default stream;
// this will synchronize all CUDA streams (except for non-blocking streams) on the
// device.
void cuda_legacy_noop();
} // extern "C"
#endif // HAVE_CUDA
#endif
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