// Copyright © 2023-2024 Apple Inc.

#pragma once

#include <optional>
#include <variant>

#include "mlx/utils.h"

namespace mlx::core::fast {

array rms_norm(
    const array& x,
    const std::optional<array>& weight,
    float eps,
    StreamOrDevice s = {});

array layer_norm(
    const array& x,
    const std::optional<array>& weight,
    const std::optional<array>& bias,
    float eps,
    StreamOrDevice s = {});

array rope(
    const array& x,
    int dims,
    bool traditional,
    std::optional<float> base,
    float scale,
    int offset,
    const std::optional<array>& freqs = std::nullopt,
    StreamOrDevice s = {});

array rope(
    const array& x,
    int dims,
    bool traditional,
    std::optional<float> base,
    float scale,
    const array& offset,
    const std::optional<array>& freqs = std::nullopt,
    StreamOrDevice s = {});

/** Computes: O = softmax(Q @ K.T) @ V **/
array scaled_dot_product_attention(
    const array& queries,
    const array& keys,
    const array& values,
    const float scale,
    const std::variant<std::monostate, std::string, array>& mask = {},
    const std::optional<int> memory_efficient_threshold = std::nullopt,
    StreamOrDevice s = {});

std::tuple<array, array, array> affine_quantize(
    const array& w,
    int group_size = 64,
    int bits = 4,
    StreamOrDevice s = {});

array affine_dequantize(
    const array& w,
    const array& scales,
    const array& biases,
    int group_size = 64,
    int bits = 4,
    StreamOrDevice s = {});

typedef std::variant<int, bool, Dtype> TemplateArg;

typedef std::function<std::vector<array>(
    const std::vector<array>&,
    const std::vector<Shape>&,
    const std::vector<Dtype>&,
    std::tuple<int, int, int>,
    std::tuple<int, int, int>,
    std::vector<std::pair<std::string, TemplateArg>>,
    std::optional<float>,
    bool,
    StreamOrDevice)>
    MetalKernelFunction;

MetalKernelFunction metal_kernel(
    const std::string& name,
    const std::vector<std::string>& input_names,
    const std::vector<std::string>& output_names,
    const std::string& source,
    const std::string& header = "",
    bool ensure_row_contiguous = true,
    bool atomic_outputs = false);

} // namespace mlx::core::fast