diff options
Diffstat (limited to 'ggml.h')
| -rw-r--r-- | ggml.h | 127 |
1 files changed, 125 insertions, 2 deletions
@@ -296,6 +296,7 @@ extern "C" { GGML_OP_SUM_ROWS, GGML_OP_MEAN, GGML_OP_REPEAT, + GGML_OP_REPEAT_BACK, GGML_OP_ABS, GGML_OP_SGN, GGML_OP_NEG, @@ -309,6 +310,7 @@ extern "C" { GGML_OP_RMS_NORM_BACK, GGML_OP_MUL_MAT, + GGML_OP_OUT_PROD, GGML_OP_SCALE, GGML_OP_SET, @@ -324,6 +326,7 @@ extern "C" { GGML_OP_DIAG_MASK_INF, GGML_OP_DIAG_MASK_ZERO, GGML_OP_SOFT_MAX, + GGML_OP_SOFT_MAX_BACK, GGML_OP_ROPE, GGML_OP_ROPE_BACK, GGML_OP_ALIBI, @@ -333,10 +336,14 @@ extern "C" { GGML_OP_FLASH_ATTN, GGML_OP_FLASH_FF, + GGML_OP_FLASH_ATTN_BACK, GGML_OP_MAP_UNARY, GGML_OP_MAP_BINARY, + GGML_OP_CROSS_ENTROPY_LOSS, + GGML_OP_CROSS_ENTROPY_LOSS_BACK, + GGML_OP_COUNT, }; @@ -574,6 +581,11 @@ extern "C" { struct ggml_tensor * a, struct ggml_tensor * b); + GGML_API struct ggml_tensor * ggml_add1_inplace( + struct ggml_context * ctx, + struct ggml_tensor * a, + struct ggml_tensor * b); + GGML_API struct ggml_tensor * ggml_acc( struct ggml_context * ctx, struct ggml_tensor * a, @@ -645,6 +657,11 @@ extern "C" { struct ggml_tensor * a, struct ggml_tensor * b); + GGML_API struct ggml_tensor * ggml_repeat_back( + struct ggml_context * ctx, + struct ggml_tensor * a, + struct ggml_tensor * b); + GGML_API struct ggml_tensor * ggml_abs( struct ggml_context * ctx, struct ggml_tensor * a); @@ -698,14 +715,22 @@ extern "C" { struct ggml_tensor * a, struct ggml_tensor * b); - // A: m rows, n columns - // B: p rows, n columns (i.e. we transpose it internally) + // A: n columns, m rows + // B: n columns, p rows (i.e. we transpose it internally) // result is m columns, p rows GGML_API struct ggml_tensor * ggml_mul_mat( struct ggml_context * ctx, struct ggml_tensor * a, struct ggml_tensor * b); + // A: m columns, n rows, + // B: p columns, n rows, + // result is m columns, p rows + GGML_API struct ggml_tensor * ggml_out_prod( + struct ggml_context * ctx, + struct ggml_tensor * a, + struct ggml_tensor * b); + // // operations on tensors without backpropagation // @@ -916,6 +941,17 @@ extern "C" { struct ggml_context * ctx, struct ggml_tensor * a); + GGML_API struct ggml_tensor * ggml_soft_max_back( + struct ggml_context * ctx, + struct ggml_tensor * a, + struct ggml_tensor * b); + + // in-place, returns view(a) + GGML_API struct ggml_tensor * ggml_soft_max_back_inplace( + struct ggml_context * ctx, + struct ggml_tensor * a, + struct ggml_tensor * b); + // rotary position embedding // if mode & 1 == 1, skip n_past elements // if mode & 2 == 1, GPT-NeoX style @@ -982,6 +1018,14 @@ extern "C" { struct ggml_tensor * v, bool masked); + GGML_API struct ggml_tensor * ggml_flash_attn_back( + struct ggml_context * ctx, + struct ggml_tensor * q, + struct ggml_tensor * k, + struct ggml_tensor * v, + struct ggml_tensor * d, + bool masked); + GGML_API struct ggml_tensor * ggml_flash_ff( struct ggml_context * ctx, struct ggml_tensor * a, @@ -1005,6 +1049,19 @@ extern "C" { struct ggml_tensor * b, ggml_binary_op_f32_t fun); + // loss function + + GGML_API struct ggml_tensor * ggml_cross_entropy_loss( + struct ggml_context * ctx, + struct ggml_tensor * a, + struct ggml_tensor * b); + + GGML_API struct ggml_tensor * ggml_cross_entropy_loss_back( + struct ggml_context * ctx, + struct ggml_tensor * a, + struct ggml_tensor * b, + struct ggml_tensor * c); + // // automatic differentiation // @@ -1099,6 +1156,8 @@ extern "C" { struct { int n_iter; + float sched; // schedule multiplier (fixed, decay or warmup) + float decay; // weight decay for AdamW, use 0.0f to disable float alpha; // learning rate float beta1; float beta2; @@ -1123,6 +1182,49 @@ extern "C" { } lbfgs; }; + struct ggml_opt_context { + struct ggml_context * ctx; + struct ggml_opt_params params; + + int iter; + int64_t nx; // number of parameter elements + + bool just_initialized; + + struct { + struct ggml_tensor * x; // view of the parameters + struct ggml_tensor * g1; // gradient + struct ggml_tensor * g2; // gradient squared + struct ggml_tensor * m; // first moment + struct ggml_tensor * v; // second moment + struct ggml_tensor * mh; // first moment hat + struct ggml_tensor * vh; // second moment hat + struct ggml_tensor * pf; // past function values + float fx_best; + float fx_prev; + int n_no_improvement; + } adam; + + struct { + struct ggml_tensor * x; // current parameters + struct ggml_tensor * xp; // previous parameters + struct ggml_tensor * g; // current gradient + struct ggml_tensor * gp; // previous gradient + struct ggml_tensor * d; // search direction + struct ggml_tensor * pf; // past function values + struct ggml_tensor * lmal; // the L-BFGS memory alpha + struct ggml_tensor * lmys; // the L-BFGS memory ys + struct ggml_tensor * lms; // the L-BFGS memory s + struct ggml_tensor * lmy; // the L-BFGS memory y + float fx_best; + float step; + int j; + int k; + int end; + int n_no_improvement; + } lbfgs; + }; + GGML_API struct ggml_opt_params ggml_opt_default_params(enum ggml_opt_type type); // optimize the function defined by the tensor f @@ -1131,6 +1233,27 @@ extern "C" { struct ggml_opt_params params, struct ggml_tensor * f); + // initialize optimizer context + GGML_API void ggml_opt_init( + struct ggml_context * ctx, + struct ggml_opt_context * opt, + struct ggml_opt_params params, + int64_t nx); + + // continue optimizing the function defined by the tensor f + GGML_API enum ggml_opt_result ggml_opt_resume( + struct ggml_context * ctx, + struct ggml_opt_context * opt, + struct ggml_tensor * f); + + // continue optimizing the function defined by the tensor f + GGML_API enum ggml_opt_result ggml_opt_resume_g( + struct ggml_context * ctx, + struct ggml_opt_context * opt, + struct ggml_tensor * f, + struct ggml_cgraph * gf, + struct ggml_cgraph * gb); + // // quantization // |