2292557fd6
dist/include/ contains the MLX and MLX-C headers needed for CGo compilation. Without these, go-mlx cannot be used as a module dependency (headers not found in module cache). Libraries (dylib/metallib) are still gitignored — users build those locally via cmake. Co-Authored-By: Virgil <virgil@lethean.io>
164 lines
3.9 KiB
C
164 lines
3.9 KiB
C
/* Copyright © 2023-2024 Apple Inc. */
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/* */
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/* This file is auto-generated. Do not edit manually. */
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/* */
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#ifndef MLX_RANDOM_H
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#define MLX_RANDOM_H
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#include <stdbool.h>
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#include <stdint.h>
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#include <stdio.h>
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#include "mlx/c/array.h"
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#include "mlx/c/closure.h"
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#include "mlx/c/distributed_group.h"
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#include "mlx/c/io_types.h"
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#include "mlx/c/map.h"
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#include "mlx/c/stream.h"
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#include "mlx/c/string.h"
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#include "mlx/c/vector.h"
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#ifdef __cplusplus
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extern "C" {
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#endif
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/**
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* \defgroup random Random number operations
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*/
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/**@{*/
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int mlx_random_bernoulli(
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mlx_array* res,
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const mlx_array p,
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const int* shape,
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size_t shape_num,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_bits(
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mlx_array* res,
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const int* shape,
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size_t shape_num,
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int width,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_categorical_shape(
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mlx_array* res,
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const mlx_array logits,
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int axis,
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const int* shape,
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size_t shape_num,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_categorical_num_samples(
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mlx_array* res,
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const mlx_array logits_,
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int axis,
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int num_samples,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_categorical(
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mlx_array* res,
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const mlx_array logits,
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int axis,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_gumbel(
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mlx_array* res,
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const int* shape,
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size_t shape_num,
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mlx_dtype dtype,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_key(mlx_array* res, uint64_t seed);
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int mlx_random_laplace(
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mlx_array* res,
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const int* shape,
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size_t shape_num,
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mlx_dtype dtype,
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float loc,
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float scale,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_multivariate_normal(
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mlx_array* res,
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const mlx_array mean,
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const mlx_array cov,
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const int* shape,
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size_t shape_num,
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mlx_dtype dtype,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_normal_broadcast(
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mlx_array* res,
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const int* shape,
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size_t shape_num,
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mlx_dtype dtype,
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const mlx_array loc /* may be null */,
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const mlx_array scale /* may be null */,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_normal(
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mlx_array* res,
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const int* shape,
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size_t shape_num,
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mlx_dtype dtype,
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float loc,
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float scale,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_permutation(
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mlx_array* res,
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const mlx_array x,
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int axis,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_permutation_arange(
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mlx_array* res,
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int x,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_randint(
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mlx_array* res,
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const mlx_array low,
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const mlx_array high,
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const int* shape,
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size_t shape_num,
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mlx_dtype dtype,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_seed(uint64_t seed);
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int mlx_random_split_num(
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mlx_array* res,
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const mlx_array key,
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int num,
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const mlx_stream s);
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int mlx_random_split(
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mlx_array* res_0,
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mlx_array* res_1,
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const mlx_array key,
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const mlx_stream s);
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int mlx_random_truncated_normal(
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mlx_array* res,
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const mlx_array lower,
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const mlx_array upper,
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const int* shape,
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size_t shape_num,
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mlx_dtype dtype,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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int mlx_random_uniform(
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mlx_array* res,
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const mlx_array low,
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const mlx_array high,
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const int* shape,
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size_t shape_num,
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mlx_dtype dtype,
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const mlx_array key /* may be null */,
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const mlx_stream s);
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/**@}*/
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#ifdef __cplusplus
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}
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#endif
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#endif
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