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cuda : add ELU support (#14657)

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This commit is contained in:
Yavor Ivanov
2025-07-13 02:33:16 -07:00
committed by GitHub
parent 05fec5bd29
commit e743cddb60
3 changed files with 13 additions and 0 deletions
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4
ggml/src/ggml-cuda/ggml-cuda.cu
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@ -2303,6 +2303,9 @@ static bool ggml_cuda_compute_forward(ggml_backend_cuda_context & ctx, struct gg
case GGML_UNARY_OP_EXP: case GGML_UNARY_OP_EXP:
ggml_cuda_op_exp(ctx, dst); ggml_cuda_op_exp(ctx, dst);
break; break;
case GGML_UNARY_OP_ELU:
ggml_cuda_op_elu(ctx, dst);
break;
default: default:
return false; return false;
} }
@ -3116,6 +3119,7 @@ static bool ggml_backend_cuda_device_supports_op(ggml_backend_dev_t dev, const g
case GGML_UNARY_OP_GELU_QUICK: case GGML_UNARY_OP_GELU_QUICK:
case GGML_UNARY_OP_TANH: case GGML_UNARY_OP_TANH:
case GGML_UNARY_OP_EXP: case GGML_UNARY_OP_EXP:
case GGML_UNARY_OP_ELU:
return ggml_is_contiguous(op->src[0]); return ggml_is_contiguous(op->src[0]);
default: default:
return false; return false;

7
ggml/src/ggml-cuda/unary.cu
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@ -83,6 +83,10 @@ static __device__ __forceinline__ float op_log(float x) {
return logf(x); return logf(x);
} }
static __device__ __forceinline__ float op_elu(float x) {
return (x > 0.f) ? x : expm1f(x);
}
template <float (*op)(float), typename T> template <float (*op)(float), typename T>
static __global__ void unary_op_kernel(const T * x, T * dst, const int k) { static __global__ void unary_op_kernel(const T * x, T * dst, const int k) {
const int i = blockDim.x*blockIdx.x + threadIdx.x; const int i = blockDim.x*blockIdx.x + threadIdx.x;
@ -196,6 +200,9 @@ void ggml_cuda_op_log(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
ggml_cuda_op_unary<op_log>(ctx, dst); ggml_cuda_op_unary<op_log>(ctx, dst);
} }
void ggml_cuda_op_elu(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
ggml_cuda_op_unary<op_elu>(ctx, dst);
}
/* gated ops */ /* gated ops */
template <float (*op)(float), typename T> template <float (*op)(float), typename T>

2
ggml/src/ggml-cuda/unary.cuh
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@ -59,6 +59,8 @@ void ggml_cuda_op_cos(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_log(ggml_backend_cuda_context & ctx, ggml_tensor * dst); void ggml_cuda_op_log(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_elu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_reglu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); void ggml_cuda_op_reglu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
void ggml_cuda_op_geglu(ggml_backend_cuda_context & ctx, ggml_tensor * dst); void ggml_cuda_op_geglu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);