issue/471: add AWQ dequantize in moore gpu, with python test pass and 9G4B-AWQ inference test pass

src/infiniop/devices/moore/moore_kernel_common.h

@@ -37,9 +37,12 @@ exp_(const float val) {
     return expf(val);
 }
 
+// Computes exp for long double on Moore GPU,
+// casts to double to resolve ambiguous exp call,
+// due to conflicting double/float definitions in MUSA math libraries.
 __forceinline__ __device__ long double
 exp_(const long double val) {
-    return exp(val);
+    return static_cast<long double>(exp(static_cast<double>(val)));
 }
 
 __forceinline__ __device__ double

src/infiniop/ops/dequantize_awq/moore/dequantize_w42f16_kernel.h

@@ -0,0 +1,56 @@
+#pragma once
+#include <musa_fp16.h> // 需要此头文件来支持 __half 和 __half2 类型
+
+/**
+ * @brief 将一个包含8个4-bit整数的uint32_t反量化为8个half精度浮点数。
+ *
+ * 这是一个通用的 CUDA C++ 实现，用于替代原有的 PTX 汇编版本，
+ * 以便在不支持高级 PTX 指令（如 lop3.b32）的 GPU 上运行。
+ * 输出顺序匹配 PTX 的交错打包：v0, v4, v1, v5, v2, v6, v3, v7（经 signed 调整后）。
+ *
+ * @param source 输入的32位无符号整数，它打包了8个4-bit的数据。
+ * @return 一个 uint4 变量，其中包含8个反量化后的 half 值。
+ */
+__device__ __forceinline__ uint4 dequantize_s4_to_fp16x2(uint32_t const &source) {
+    // 步骤 1: 从一个 32-bit 源数据中解包出 8 个 4-bit 无符号整数。
+    // 源数据的内存布局被假定为 [v7, v6, v5, v4, v3, v2, v1, v0]，
+    // 其中每个 'v' 都是一个 4-bit 的半字节 (nibble)。
+    const unsigned int v0 = (source >> 0) & 0x0F;
+    const unsigned int v1 = (source >> 4) & 0x0F;
+    const unsigned int v2 = (source >> 8) & 0x0F;
+    const unsigned int v3 = (source >> 12) & 0x0F;
+    const unsigned int v4 = (source >> 16) & 0x0F;
+    const unsigned int v5 = (source >> 20) & 0x0F;
+    const unsigned int v6 = (source >> 24) & 0x0F;
+    const unsigned int v7 = (source >> 28) & 0x0F;
+
+    // 步骤 2: 对于 signed 4-bit (s4)，减去 8 以映射到 [-8, 7] 范围。
+    // 定义偏移量
+    __half offset = __half(8);
+
+    // 计算 signed 值
+    __half hv0 = __half(v0) - offset;
+    __half hv1 = __half(v1) - offset;
+    __half hv2 = __half(v2) - offset;
+    __half hv3 = __half(v3) - offset;
+    __half hv4 = __half(v4) - offset;
+    __half hv5 = __half(v5) - offset;
+    __half hv6 = __half(v6) - offset;
+    __half hv7 = __half(v7) - offset;
+
+    // 步骤 3: 将 half 值按 PTX 交错顺序打包成 __half2 并存入 result 中。
+    // 顺序：result_ptr[0]: low=hv0, high=hv4
+    //       result_ptr[1]: low=hv1, high=hv5
+    //       result_ptr[2]: low=hv2, high=hv6
+    //       result_ptr[3]: low=hv3, high=hv7
+    // __halves2half2 函数：low 为第一个参数，high 为第二个参数。
+    uint4 result;
+    __half2 *result_ptr = reinterpret_cast<__half2 *>(&result);
+
+    result_ptr[0] = __halves2half2(hv0, hv4);
+    result_ptr[1] = __halves2half2(hv1, hv5);
+    result_ptr[2] = __halves2half2(hv2, hv6);
+    result_ptr[3] = __halves2half2(hv3, hv7);
+
+    return result;
+}

src/infiniop/ops/dequantize_awq/moore/dequantize_w42f16_moore.h

@@ -0,0 +1,8 @@
+#ifndef __DEQUANTIZE_AWQ_MOORE_H__
+#define __DEQUANTIZE_AWQ_MOORE_H__
+
+#include "../dequantize_awq.h"
+
+DESCRIPTOR(moore)
+
+#endif // __DEQUANTIZE_AWQ_MOORE_H__

src/infiniop/ops/dequantize_awq/moore/dequantize_w42f16_moore.mu

@@ -0,0 +1,127 @@
+#include "../../../devices/moore/moore_handle.h"
+#include "../../../devices/moore/moore_kernel_common.h"
+#include "dequantize_w42f16_moore.h"
+#include "dequantize_w42f16_kernel.h"
+
+#include "../dequantize_awq.h"
+#include <musa_fp16.h>
+
+__global__ void __launch_bounds__(64)
+    dequantize_weights(int *__restrict__ B, half *__restrict__ scaling_factors,
+                       int *__restrict__ zeros, half *__restrict__ C, int G) {
+    // static constexpr uint32_t ZERO = 0x0;
+    half B_shared[32 * (128 + 8)];
+
+    half *B_shared_ptr2 = B_shared;
+
+    int N = blockDim.x * gridDim.x; // 2
+    int col = (blockIdx.x * blockDim.x + threadIdx.x);
+    int row = (blockIdx.y * blockDim.y + threadIdx.y);
+    int index1 = 8 * col + 8 * row * N;
+    half *C_ptr2 = C + index1;
+
+    int index2 = col + row * N;
+    int *B_ptr2 = B + index2;
+
+    int index3 = col + (int)(row / G) * N;
+    int *zeros_ptr2 = zeros + index3;
+    int index4 = 8 * col + (int)(row / G) * N * 8;
+    half *scaling_factors_ptr2 = scaling_factors + index4;
+
+    uint32_t zeros_loaded = *(uint32_t *)(zeros_ptr2);
+    uint4 B_loaded_zero = dequantize_s4_to_fp16x2(zeros_loaded);
+    uint4 B_loaded_scale = *(uint4 *)(scaling_factors_ptr2);
+
+    uint32_t B_loaded = *(uint32_t *)B_ptr2;
+    uint4 B_loaded_fp16 = dequantize_s4_to_fp16x2(B_loaded);
+
+    // Reinterpret uint4 components as __half2
+    __half2 *B_loaded_fp16_h2 = reinterpret_cast<__half2 *>(&B_loaded_fp16);
+    __half2 *B_loaded_zero_h2 = reinterpret_cast<__half2 *>(&B_loaded_zero);
+    __half2 *B_loaded_scale_h2 = reinterpret_cast<__half2 *>(&B_loaded_scale);
+
+    // Replace PTX sub.f16x2 with __hsub2 for each component
+    B_loaded_fp16_h2[0] = __hsub2(B_loaded_fp16_h2[0], B_loaded_zero_h2[0]);
+    B_loaded_fp16_h2[1] = __hsub2(B_loaded_fp16_h2[1], B_loaded_zero_h2[1]);
+    B_loaded_fp16_h2[2] = __hsub2(B_loaded_fp16_h2[2], B_loaded_zero_h2[2]);
+    B_loaded_fp16_h2[3] = __hsub2(B_loaded_fp16_h2[3], B_loaded_zero_h2[3]);
+
+    // Replace PTX fma.rn.f16x2 with __hfma2 for each component
+    B_loaded_fp16_h2[0] = __hfma2(B_loaded_fp16_h2[0], B_loaded_scale_h2[0], __float2half2_rn(0.0f));
+    B_loaded_fp16_h2[1] = __hfma2(B_loaded_fp16_h2[1], B_loaded_scale_h2[1], __float2half2_rn(0.0f));
+    B_loaded_fp16_h2[2] = __hfma2(B_loaded_fp16_h2[2], B_loaded_scale_h2[2], __float2half2_rn(0.0f));
+    B_loaded_fp16_h2[3] = __hfma2(B_loaded_fp16_h2[3], B_loaded_scale_h2[3], __float2half2_rn(0.0f));
+
+    // Store back to shared memory
+    *(uint4 *)B_shared_ptr2 = B_loaded_fp16;
+
+    for (int i = 0; i < 8; ++i) {
+        *(C_ptr2 + i) = B_shared[i];
+    }
+}
+
+namespace op::dequantize_awq::moore {
+
+struct Descriptor::Opaque {
+    std::shared_ptr<device::moore::Handle::Internal> internal;
+};
+
+Descriptor::~Descriptor() {
+    delete _opaque;
+}
+
+infiniStatus_t Descriptor::create(
+    infiniopHandle_t handle_,
+    Descriptor **desc_ptr,
+    infiniopTensorDescriptor_t out_desc,
+    infiniopTensorDescriptor_t qweight_desc,
+    infiniopTensorDescriptor_t scales_desc,
+    infiniopTensorDescriptor_t zeros_desc) {
+
+    auto handle = reinterpret_cast<device::moore::Handle *>(handle_);
+    auto result = DequantizeAWQInfo::create(out_desc, qweight_desc, scales_desc, zeros_desc);
+
+    *desc_ptr = new Descriptor(
+        0,
+        new Opaque{handle->internal()},
+        result.take(),
+        handle->device, handle->device_id);
+    return INFINI_STATUS_SUCCESS;
+}
+
+infiniStatus_t
+Descriptor::calculate(
+    void *workspace,
+    size_t workspace_size,
+    void *out,
+    const void *qweight,
+    const void *scales,
+    const void *zeros,
+    void *stream) const {
+    int in_features = _info.in_features();
+    int out_features = _info.out_features();
+    int group_size = in_features / _info.num_groups();
+
+    // ==================== 默认配置, 固定为 8 ====================
+    constexpr int BLOCK_X = 8;
+    constexpr int BLOCK_Y = 8;
+
+    int x_blocks = (out_features + BLOCK_X - 1) / BLOCK_X;
+    int y_blocks = (in_features + BLOCK_Y - 1) / BLOCK_Y;
+
+    dim3 num_blocks(x_blocks, y_blocks);
+    dim3 threads_per_block(BLOCK_X, BLOCK_Y);
+    // =====================================================
+
+    half *out_ = reinterpret_cast<half *>(out);
+
+    int *qweight_ = const_cast<int *>(reinterpret_cast<const int *>(qweight));
+    half *scales_ = const_cast<half *>(reinterpret_cast<const half *>(scales));
+    int *zeros_ = const_cast<int *>(reinterpret_cast<const int *>(zeros));
+
+    dequantize_weights<<<num_blocks, threads_per_block, 0, reinterpret_cast<musaStream_t>(stream)>>>(
+        qweight_, scales_, zeros_, out_, group_size);
+    return INFINI_STATUS_SUCCESS;
+}
+
+} // namespace op::dequantize_awq::moore

src/infiniop/ops/dequantize_awq/operator.cc

@@ -5,6 +5,9 @@
 #ifdef ENABLE_NVIDIA_API
 #include "nvidia/dequantize_w42f16_nvidia.cuh"
 #endif
+#ifdef ENABLE_MOORE_API
+#include "moore/dequantize_w42f16_moore.h"
+#endif
 
 __C infiniStatus_t infiniopCreateDequantizeAWQDescriptor(
     infiniopHandle_t handle,
@@ -27,6 +30,9 @@ __C infiniStatus_t infiniopCreateDequantizeAWQDescriptor(
     switch (handle->device) {
 #ifdef ENABLE_NVIDIA_API
         CREATE(INFINI_DEVICE_NVIDIA, nvidia);
+#endif
+#ifdef ENABLE_MOORE_API
+        CREATE(INFINI_DEVICE_MOORE, moore);
 #endif
     default:
         return INFINI_STATUS_DEVICE_TYPE_NOT_SUPPORTED;
@@ -45,6 +51,9 @@ __C infiniStatus_t infiniopGetDequantizeAWQWorkspaceSize(infiniopDequantizeAWQDe
     switch (desc->device_type) {
 #ifdef ENABLE_NVIDIA_API
         GET(INFINI_DEVICE_NVIDIA, nvidia);
+#endif
+#ifdef ENABLE_MOORE_API
+        GET(INFINI_DEVICE_MOORE, moore);
 #endif
     default:
         return INFINI_STATUS_DEVICE_TYPE_NOT_SUPPORTED;
@@ -70,6 +79,9 @@ __C infiniStatus_t infiniopDequantizeAWQ(
     switch (desc->device_type) {
 #ifdef ENABLE_NVIDIA_API
         CALCULATE(INFINI_DEVICE_NVIDIA, nvidia);
+#endif
+#ifdef ENABLE_MOORE_API
+        CALCULATE(INFINI_DEVICE_MOORE, moore);
 #endif
     default:
         return INFINI_STATUS_DEVICE_TYPE_NOT_SUPPORTED;
@@ -89,6 +101,9 @@ infiniopDestroyDequantizeAWQDescriptor(infiniopDequantizeAWQDescriptor_t desc) {
     switch (desc->device_type) {
 #ifdef ENABLE_NVIDIA_API
         DELETE(INFINI_DEVICE_NVIDIA, nvidia);
+#endif
+#ifdef ENABLE_MOORE_API
+        DELETE(INFINI_DEVICE_MOORE, moore);
 #endif
     default:
         return INFINI_STATUS_DEVICE_TYPE_NOT_SUPPORTED;