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https://github.com/ggerganov/whisper.cpp.git
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whisper : reorganize source code + improve CMake (#2256)
* scripts : update sync [no ci] * files : reorganize [no ci] * sync : llama.cpp * cmake : link math library * cmake : build normal ggml library * files : move headers to include * objc : fix path to ggml-metal.h * ci : fix WHISPER_CUDA -> GGML_CUDA * scripts : sync LICENSE [no ci]
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31
ggml/src/ggml-cuda/scale.cu
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31
ggml/src/ggml-cuda/scale.cu
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#include "scale.cuh"
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static __global__ void scale_f32(const float * x, float * dst, const float scale, const int k) {
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const int i = blockDim.x*blockIdx.x + threadIdx.x;
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if (i >= k) {
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return;
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}
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dst[i] = scale * x[i];
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}
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static void scale_f32_cuda(const float * x, float * dst, const float scale, const int k, cudaStream_t stream) {
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const int num_blocks = (k + CUDA_SCALE_BLOCK_SIZE - 1) / CUDA_SCALE_BLOCK_SIZE;
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scale_f32<<<num_blocks, CUDA_SCALE_BLOCK_SIZE, 0, stream>>>(x, dst, scale, k);
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}
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void ggml_cuda_op_scale(ggml_backend_cuda_context & ctx, ggml_tensor * dst) {
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const ggml_tensor * src0 = dst->src[0];
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const float * src0_d = (const float *)src0->data;
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float * dst_d = (float *)dst->data;
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cudaStream_t stream = ctx.stream();
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GGML_ASSERT(src0->type == GGML_TYPE_F32);
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GGML_ASSERT( dst->type == GGML_TYPE_F32);
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float scale;
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memcpy(&scale, dst->op_params, sizeof(float));
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scale_f32_cuda(src0_d, dst_d, scale, ggml_nelements(src0), stream);
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}
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