mininglamp-ai--cider
wehub-resource-sync
103 行
3.0 KiB
C++
103 行
3.0 KiB
C++
// W8A8 Linear as mlx Custom Primitive.
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// Dispatches quantize + INT8 matmul (prefill) or FP MV (decode) via mlx's CommandEncoder.
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#pragma once
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#include "mlx/ops.h"
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#include "mlx/primitives.h"
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#include <mutex>
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#include <string>
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#include <unordered_map>
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namespace MTL {
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class ComputePipelineState;
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}
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namespace cider {
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namespace mx = mlx::core;
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// ── Custom Primitive ─────────────────────────────────────────────
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// Inputs: [x(M,K) float16, w(N,K) int8, scale_w(N) float32, bias(N) float16]
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// Output: [y(M,N) float16]
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//
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// M > 1: quantize activation + INT8 GEMM (prefill)
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// M == 1: FP activation × dequant weight MV (decode)
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class W8A8Linear : public mx::Primitive {
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public:
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explicit W8A8Linear(mx::Stream stream, const std::string& kernel_dir)
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: mx::Primitive(stream), kernel_dir_(kernel_dir) {}
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void eval_cpu(
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const std::vector<mx::array>& inputs,
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std::vector<mx::array>& outputs) override {
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throw std::runtime_error("W8A8Linear: CPU not supported");
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}
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void eval_gpu(
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const std::vector<mx::array>& inputs,
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std::vector<mx::array>& outputs) override;
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const char* name() const override {
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return "W8A8Linear";
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}
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bool is_equivalent(const mx::Primitive& other) const override {
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return true;
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}
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private:
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std::string kernel_dir_;
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};
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// ── Raw INT32 Matmul Primitive ───────────────────────────────────
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// Inputs: [A(M,K) int8, B(K,N) int8]
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// Output: [C(M,N) int32] (bit-exact, no dequant)
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class Int8MatMulInt32 : public mx::Primitive {
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public:
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explicit Int8MatMulInt32(mx::Stream stream, const std::string& kernel_dir)
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: mx::Primitive(stream), kernel_dir_(kernel_dir) {}
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void eval_cpu(
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const std::vector<mx::array>& inputs,
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std::vector<mx::array>& outputs) override {
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throw std::runtime_error("Int8MatMulInt32: CPU not supported");
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}
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void eval_gpu(
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const std::vector<mx::array>& inputs,
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std::vector<mx::array>& outputs) override;
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const char* name() const override {
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return "Int8MatMulInt32";
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}
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bool is_equivalent(const mx::Primitive& other) const override {
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return true;
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}
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private:
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std::string kernel_dir_;
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};
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// ── Public API ───────────────────────────────────────────────────
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mx::array perchannel_linear(
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const mx::array& x, // [M, K] float16
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const mx::array& w, // [N, K] int8
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const mx::array& scale_w, // [N] float32
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const mx::array& bias, // [N] float16
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const std::string& kernel_dir,
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mx::StreamOrDevice s = {});
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// ── Raw INT32 matmul (for bit-exact testing) ─────────────────────
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mx::array int8_matmul_int32(
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const mx::array& a, // [M, K] int8
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const mx::array& b, // [K, N] int8
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const std::string& kernel_dir,
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mx::StreamOrDevice s = {});
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} // namespace cider
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