Misha GoinandClaude
d79b52b182
Signed-off-by: mgoin <mgoin64@gmail.com> Co-authored-by: Claude <noreply@anthropic.com>
47 lines
1.8 KiB
C++
47 lines
1.8 KiB
C++
#pragma once
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#include <optional>
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#include <string>
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#include <torch/library.h>
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#include <tuple>
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#include <vector>
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void rms_norm(torch::Tensor& out, torch::Tensor& input,
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std::optional<torch::Tensor> weight, double epsilon);
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void fused_add_rms_norm(torch::Tensor& input, torch::Tensor& residual,
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std::optional<torch::Tensor> weight, double epsilon);
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void rotary_embedding(torch::Tensor& positions, torch::Tensor& query,
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std::optional<torch::Tensor> key, int64_t head_size,
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torch::Tensor& cos_sin_cache, bool is_neox,
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int64_t rope_dim_offset, bool inverse);
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void silu_and_mul(torch::Tensor& out, torch::Tensor& input);
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void gelu_and_mul(torch::Tensor& out, torch::Tensor& input);
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void gelu_tanh_and_mul(torch::Tensor& out, torch::Tensor& input);
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void gelu_tanh(torch::Tensor& out, torch::Tensor& input);
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void gelu_new(torch::Tensor& out, torch::Tensor& input);
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void gelu_fast(torch::Tensor& out, torch::Tensor& input);
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void gelu_quick(torch::Tensor& out, torch::Tensor& input);
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void static_scaled_int8_quant(torch::Tensor& out, torch::Tensor const& input,
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torch::Tensor const& scale,
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std::optional<torch::Tensor> const& azp);
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void dynamic_scaled_int8_quant(torch::Tensor& out, torch::Tensor const& input,
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torch::Tensor& scales,
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std::optional<torch::Tensor> const& azp);
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torch::Tensor dynamic_4bit_int_moe_cpu(
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torch::Tensor x, torch::Tensor topk_ids, torch::Tensor topk_weights,
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torch::Tensor w13_packed, torch::Tensor w2_packed, int64_t hidden_size,
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int64_t intermediate_size, int64_t group_size,
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bool apply_router_weight_on_input, int64_t activation_kind);
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