mirror of
https://github.com/ggerganov/whisper.cpp.git
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2948c740a2
* sync : update scripts * sync : ggml * talk-llama : sync llama.cpp * make : WHISPER_CUBLAS -> WHISPER_CUDA * ci : try to fix sycl build * talk-llama : fix make build
28 lines
981 B
Plaintext
28 lines
981 B
Plaintext
#include "common.cuh"
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#define CUDA_GELU_BLOCK_SIZE 256
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#define CUDA_SILU_BLOCK_SIZE 256
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#define CUDA_TANH_BLOCK_SIZE 256
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#define CUDA_RELU_BLOCK_SIZE 256
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#define CUDA_HARDSIGMOID_BLOCK_SIZE 256
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#define CUDA_HARDSWISH_BLOCK_SIZE 256
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#define CUDA_SQR_BLOCK_SIZE 256
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void ggml_cuda_op_gelu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
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void ggml_cuda_op_silu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
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void ggml_cuda_op_gelu_quick(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
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void ggml_cuda_op_tanh(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
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void ggml_cuda_op_relu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
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void ggml_cuda_op_hardsigmoid(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
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void ggml_cuda_op_hardswish(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
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void ggml_cuda_op_leaky_relu(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
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void ggml_cuda_op_sqr(ggml_backend_cuda_context & ctx, ggml_tensor * dst);
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