mirror of
https://github.com/ggml-org/llama.cpp.git
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f5ef34e428
* added sigmoid function * implemented metal kernel for sigmoid * implemented cuda kernel for sigmoid * added sigmoid unary op and incremented count
31 lines
1.1 KiB
Plaintext
31 lines
1.1 KiB
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_SIGMOID_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_sigmoid(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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