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67 lines
1.6 KiB
Plaintext
67 lines
1.6 KiB
Plaintext
#ifndef CUDANET_MATMUL_H
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#define CUDANET_MATMUL_H
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namespace CUDANet::Kernels {
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/**
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* @brief Matrix vector multiplication kernel
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*
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* @param d_matrix Device pointer to matrix
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* @param d_vector Device pointer to vector
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* @param d_output Device pointer to output vector
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* @param w Width of the matrix
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* @param h Height of the matrix
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*/
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__global__ void mat_vec_mul(
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const float* __restrict__ d_matrix,
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const float* __restrict__ d_vector,
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float* __restrict__ d_output,
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const unsigned int w,
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const unsigned int h
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);
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/**
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* @brief Vector vector addition kernel
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*
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* @param d_vector1 Device pointer to first vector
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* @param d_vector2 Device pointer to second vector
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* @param d_output Device pointer to output vector
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* @param w Length of the vectors
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*/
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__global__ void vec_vec_add(
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const float* __restrict__ d_vector1,
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const float* __restrict__ d_vector2,
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float* __restrict__ d_output,
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const unsigned int w
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);
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/**
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* @brief Max reduction kernel
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*
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* @param d_vector Device pointer to vector
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* @param d_output Device pointer to output vector
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*/
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__global__ void max_reduce(
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const float* __restrict__ d_vector,
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float* __restrict__ d_output
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);
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/**
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* @brief Add scalar to each element of the vector
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*
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* @param d_vector
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* @param d_scalar
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* @param d_output
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* @param w
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* @return __global__
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*/
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__global__ void vec_scalar_sub(
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const float* __restrict__ d_vector,
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const float* __restrict__ d_scalar,
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float* __restrict__ d_output,
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const unsigned int w
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);
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} // namespace CUDANet::Kernels
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#endif // CUDANET_MATMUL_H |