[CPP Graph] Opt qbits dequant (#465)

intel · Oct 23, 2023 · e1f9e2b · e1f9e2b
1 parent e30a264
commit e1f9e2b
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Showing 15 changed files with 542 additions and 703 deletions.
diff --git a/intel_extension_for_transformers/llm/library/jblas/jblas/jit_blas_epilogue.h b/intel_extension_for_transformers/llm/library/jblas/jblas/jit_blas_epilogue.h
@@ -137,13 +137,19 @@ template <JBLAS_ISA ISA_T>
 class ZpDequantInt32ToFp32 {
  public:
   struct Param {
+    // necessary
     float* C;
     int ldc;
-    uint8_t* zpA;
-    float* scalesA;
     int ldsa;
-    float* reduceB;
+    float* scalesA;
     float* scalesB;
+    // optional if A asym
+    uint8_t* zpA = nullptr;
+    float* reduceB = nullptr;
+    // optional if B asym
+    int8_t* zpB = nullptr;
+    float* reduceA = nullptr;
+    int K = 1;
   };
   JBLAS_CODE forward(const int32_t* cacheptr, const int cachestep, const int M_offset, const int N_offset, const int M,
                      const int N, const Param& _param) {
@@ -155,9 +161,22 @@ class ZpDequantInt32ToFp32 {
     if (ret != JblasSuccess) {
       return ret;
     }
-    ret = kernel::wrapper::RemoveZeroPointBias::template forward<ISA_T>(
-        cptr, _param.ldc, M, N, _param.zpA + M_offset * _param.ldsa, _param.scalesA + M_offset * _param.ldsa,
-        _param.ldsa, _param.reduceB + N_offset);
+    if (_param.zpA == nullptr && _param.zpB == nullptr) {
+      return ret;
+    } else if (_param.zpA != nullptr && _param.zpB == nullptr) {
+      ret = kernel::wrapper::RemoveZeroPointBias::template forward<ISA_T>(
+          cptr, _param.ldc, M, N, _param.zpA + M_offset * _param.ldsa, _param.scalesA + M_offset * _param.ldsa,
+          _param.ldsa, _param.reduceB + N_offset);
+    } else if (_param.zpA == nullptr && _param.zpB != nullptr) {
+      ret = kernel::wrapper::RemoveZeroPointBias::template forward<ISA_T>(cptr, _param.ldc, M, N, _param.zpB + N_offset,
+                                                                          _param.scalesB + N_offset, _param.ldsa,
+                                                                          _param.reduceA + M_offset * _param.ldsa);
+    } else {
+      ret = kernel::wrapper::RemoveZeroPointBias::template forward<ISA_T>(
+          cptr, _param.ldc, M, N, _param.zpA + M_offset * _param.ldsa, _param.zpB + N_offset,
+          _param.scalesA + M_offset * _param.ldsa, _param.scalesB + N_offset, _param.ldsa, _param.K,
+          _param.reduceA + M_offset * _param.ldsa, _param.reduceB + N_offset);
+    }
     return ret;
   }
 };

diff --git a/intel_extension_for_transformers/llm/library/jblas/jblas/jit_blas_prologue.h b/intel_extension_for_transformers/llm/library/jblas/jblas/jit_blas_prologue.h
@@ -819,9 +819,10 @@ class WeightPack {
   }
 
   void packWeightTranspose(const int N, const int K, const Param& _param) {
-    utils::aligned_vector<WType> B_NT(N * K);
-    transposeWeight<WType, ISA_T>(N, K, _param.B, _param.ldb, B_NT.data(), N);
-    return packWeight(N, K, {B_NT.data(), N, _param.packedW});
+    auto B_NT = utils::amalloc<WType>((size_t)N * K);
+    transposeWeight<WType, ISA_T>(N, K, _param.B, _param.ldb, B_NT, N);
+    packWeight(N, K, {B_NT, N, _param.packedW});
+    utils::afree(B_NT);
   }
 
   // from KxN int8 symmetric weight to packed N//NtilexKPadxNTile int4 weight

diff --git a/intel_extension_for_transformers/llm/library/jblas/jblas/jit_blas_utils.h b/intel_extension_for_transformers/llm/library/jblas/jblas/jit_blas_utils.h
@@ -12,14 +12,21 @@
 //  See the License for the specific language governing permissions and
 //  limitations under the License.
 #pragma once
+#ifdef _OPENMP
 #include <omp.h>
+#endif
 
 #include <algorithm>
 #include <chrono>
 #include <cmath>
 #include <cstring>
 #include <functional>
 #include <vector>
+#ifdef _WIN32
+#include <cstdlib>
+#else
+#include <stdlib.h>
+#endif
 
 #include "jit_blas.h"
 #include "xbyak/xbyak_util.h"
@@ -279,7 +286,7 @@ static inline _DSTT cast(_SRCT _src) {
 
 template <>
 int8_t cast(float _src) {
-  _src = _src >= 0.f ? _src + 0.5f : _src - 0.5f;
+  _src = roundf(_src);
   _src = std::min(_src, 127.f);
   _src = std::max(_src, -128.f);
   return static_cast<int8_t>(_src);
@@ -320,11 +327,36 @@ _T deserialize(int8_t*& buf) {
 static inline int padto(int a, int b) { return updiv(a, b) * b; }
 static inline size_t padto(size_t a, int b) { return updiv(a, b) * b; }
 
+template <typename _T>
+static inline _T* amalloc(size_t _size, size_t _alignment = 64) {
+  if (_size == 0) {
+    return NULL;
+  }
+  auto psize = padto(_size * sizeof(_T), _alignment);
+#ifdef _WIN32
+  return (_T*)_aligned_malloc(psize, _alignment);
+#else
+  return (_T*)aligned_alloc(_alignment, psize);
+#endif
+}
+
+static inline void afree(void* ptr) {
+  if (ptr == NULL) {
+    return;
+  }
+#ifdef _WIN32
+  _aligned_free(ptr);
+#else
+  free(ptr);
+#endif
+}
+
 template <typename _T, int _Alignment = 64>
 class aligned_vector {
  public:
   aligned_vector() : mRawsize(0), mPtr(nullptr), mAlignedsize(0) {}
-  aligned_vector(size_t _size, _T _val = _T(0)) {
+  aligned_vector(size_t _size) { resize(_size); }
+  aligned_vector(size_t _size, _T _val) {
     resize(_size);
     std::fill_n(mVec.begin(), mVec.size(), _val);
   }
@@ -502,12 +534,15 @@ class CpuDevice {
     ADD_FLAG(AVX512_BF16);
     ADD_FLAG(AVX512_FP16);
     numcores = _cpu.getNumCores(Xbyak::util::IntelCpuTopologyLevel::CoreLevel);
+#ifdef _OPENMP
     ompthreads = omp_get_max_threads();
-    numthreads = std::min(numcores, ompthreads);
-#ifdef FORCE_NUM_THREADS
-    numthreads = FORCE_NUM_THREADS;
+#else
+    ompthreads = numcores;
 #endif
+    numthreads = std::min(numcores, ompthreads);
+#ifdef _OPENMP
     omp_set_num_threads(numthreads);
+#endif
   }
 
   static CpuDevice* getInstance() {