mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-06-29 04:35:05 +00:00
8d94219a4a
* ggml : add ggml_set_rows Add ggml_set_rows(a, b, c) which copies rows from 'b' into 'a' using indices from 'c'. ref: #8366 * use I64 for indices * ggml : add repeat impl for i64 * ggml : add ggml_is_contiguous_rows * ggml : ggml_set_rows support broadcast * ggml : ggml_set_rows support quantized dst ggml-ci * ggml : support GGML_TYPE_F32 ".from_float" trait * ggml : ggml_set_rows update comment + better index name * tests : add ggml_set_rows * metal : add ggml_set_rows implementation ggml-ci * ggml : simplify forward_dup_f32 * ggml : fix supports_op * tests : add comment to set_rows * ggml : leave the repeat_i64 for a separate PR ggml-ci * ggml : set_rows use std::min instead of MIN * ggml : better error message for set_rows unsupported type * metal : perform op->type check only once * tests : more consistent implementation + more tests ggml-ci --------- Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
113 lines
8.2 KiB
C++
113 lines
8.2 KiB
C++
#pragma once
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#include "ggml.h"
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//
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// cache line
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//
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#if defined(__cpp_lib_hardware_interference_size)
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#define CACHE_LINE_SIZE std::hardware_destructive_interference_size
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#else
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#if defined(__POWER9_VECTOR__)
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#define CACHE_LINE_SIZE 128
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#elif defined(__VXE__) || defined(__VXE2__)
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#define CACHE_LINE_SIZE 256
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#else
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#define CACHE_LINE_SIZE 64
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#endif
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#endif
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static const size_t CACHE_LINE_SIZE_F32 = CACHE_LINE_SIZE/sizeof(float);
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#ifdef __cplusplus
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extern "C" {
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#endif
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void ggml_compute_forward_dup(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_add(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_add1(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_acc(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_sum(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_sum_rows(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_mean(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_argmax(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_count_equal(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_repeat(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_repeat_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_concat(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_silu_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_rms_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_rms_norm_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_group_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_l2_norm(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_out_prod(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_scale(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_set(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_cpy(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_cont(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_reshape(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_view(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_permute(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_transpose(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_get_rows(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_get_rows_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_set_rows(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_diag(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_diag_mask_inf(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_diag_mask_zero(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_soft_max(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_soft_max_ext_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_rope(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_rope_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_clamp(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_conv_transpose_1d(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_im2col(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_im2col_back_f32(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_conv_transpose_2d(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_conv_2d_dw(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_pool_1d(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_pool_2d(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_pool_2d_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_upscale(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_pad(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_pad_reflect_1d(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_roll(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_arange(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_timestep_embedding(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_argsort(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_leaky_relu(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_flash_attn_ext(
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const struct ggml_compute_params * params,
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const struct ggml_tensor * q,
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const struct ggml_tensor * k,
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const struct ggml_tensor * v,
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const struct ggml_tensor * mask,
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struct ggml_tensor * dst);
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void ggml_compute_forward_flash_attn_back(
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const struct ggml_compute_params * params,
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const bool masked,
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struct ggml_tensor * dst);
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void ggml_compute_forward_ssm_conv(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_ssm_scan(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_win_part(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_win_unpart(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_unary(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_get_rel_pos(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_add_rel_pos(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_rwkv_wkv6(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_rwkv_wkv7(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_gla(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_map_custom1(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_map_custom2(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_map_custom3(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_custom(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_cross_entropy_loss(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_cross_entropy_loss_back(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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void ggml_compute_forward_opt_step_adamw(const struct ggml_compute_params * params, struct ggml_tensor * dst);
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#ifdef __cplusplus
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}
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#endif
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