Merge pull request #12233 from tensor-tang/refine/mkl/gemm

add option split mkl gemm

CMakeLists.txt

@@ -136,6 +136,12 @@ else()
     set(THIRD_PARTY_BUILD_TYPE Release)
 endif()
 
+if(WITH_MKL)
+  option(MKL_SPLIT_GEMM "PaddlePaddle MKL gemm would split to small ones" OFF)
+  if (MKL_SPLIT_GEMM)
+    add_definitions(-DPADDLE_MKL_SPLIT_GEMM)
+  endif()
+endif()
 set(WITH_MKLML ${WITH_MKL})
 if (NOT DEFINED WITH_MKLDNN)
     if (WITH_MKL AND AVX2_FOUND)

paddle/fluid/operators/math/blas_impl.h

@@ -37,6 +37,7 @@ struct CBlas<float> {
     libxsmm_sgemm(args...);
   }
 #endif
+
   template <typename... ARGS>
   static void AXPY(ARGS... args) {
     platform::dynload::cblas_saxpy(args...);
@@ -76,6 +77,7 @@ struct CBlas<double> {
     libxsmm_dgemm(args...);
   }
 #endif
+
   template <typename... ARGS>
   static void AXPY(ARGS... args) {
     platform::dynload::cblas_daxpy(args...);
@@ -150,6 +152,7 @@ struct CBlas<double> {
   }
 };
 #endif
+
 template <>
 struct CBlas<platform::float16> {
   static void GEMM(...) { PADDLE_THROW("float16 GEMM not supported on CPU"); }
@@ -190,30 +193,48 @@ inline bool UseXSMM<platform::float16>(const int &m, const int &n, const int &k,
   return false;
 }
 
-template <>
 template <typename T>
-void Blas<platform::CPUDeviceContext>::GEMM(CBLAS_TRANSPOSE transA,
-                                            CBLAS_TRANSPOSE transB, int M,
-                                            int N, int K, T alpha, const T *A,
-                                            const T *B, T beta, T *C) const {
-  int lda = (transA == CblasNoTrans) ? K : M;
-  int ldb = (transB == CblasNoTrans) ? N : K;
-  int ldc = N;
+inline void GEMM_WARP(CBLAS_ORDER order, CBLAS_TRANSPOSE transA,
+                      CBLAS_TRANSPOSE transB, int M, int N, int K, T alpha,
+                      const T *A, int lda, const T *B, int ldb, T beta, T *C,
+                      int ldc) {
 #ifdef PADDLE_WITH_LIBXSMM
-  if (UseXSMM(M, N, K, transA != CblasNoTrans, transB != CblasNoTrans, alpha,
-              beta)) {
+  if (UseXSMM<T>(M, N, K, transA != CblasNoTrans, transB != CblasNoTrans, alpha,
+                 beta)) {
     // Note: SMM use ColMajor
     const char transa = 'N';
     const char transb = 'N';
     CBlas<T>::SMM_GEMM(&transa, &transb, &N, &M, &K, &alpha, B, &ldb, A, &lda,
                        &beta, C, &ldc);
-  } else {
+    return;
+  }
 #endif
-    CBlas<T>::GEMM(CblasRowMajor, transA, transB, M, N, K, alpha, A, lda, B,
-                   ldb, beta, C, ldc);
-#ifdef PADDLE_WITH_LIBXSMM
+
+#ifdef PADDLE_MKL_SPLIT_GEMM
+  constexpr int bs = 2;
+  if (M % bs == 0 && transA == CblasNoTrans && transB == CblasNoTrans) {
+    for (int off = 0; off < M; off += bs) {
+      CBlas<T>::GEMM(CblasRowMajor, CblasNoTrans, CblasNoTrans, bs, N, K, alpha,
+                     A + off * lda, lda, B, ldb, beta, C + off * ldb, ldc);
+    }
+    return;
   }
 #endif
+  CBlas<T>::GEMM(CblasRowMajor, transA, transB, M, N, K, alpha, A, lda, B, ldb,
+                 beta, C, ldc);
+}
+
+template <>
+template <typename T>
+void Blas<platform::CPUDeviceContext>::GEMM(CBLAS_TRANSPOSE transA,
+                                            CBLAS_TRANSPOSE transB, int M,
+                                            int N, int K, T alpha, const T *A,
+                                            const T *B, T beta, T *C) const {
+  int lda = (transA == CblasNoTrans) ? K : M;
+  int ldb = (transB == CblasNoTrans) ? N : K;
+  int ldc = N;
+  GEMM_WARP<T>(CblasRowMajor, transA, transB, M, N, K, alpha, A, lda, B, ldb,
+               beta, C, ldc);
 }
 
 template <>
@@ -222,9 +243,9 @@ void Blas<platform::CPUDeviceContext>::GEMM(bool transA, bool transB, int M,
                                             int N, int K, T alpha, const T *A,
                                             int lda, const T *B, int ldb,
                                             T beta, T *C, int ldc) const {
-  CBlas<T>::GEMM(CblasRowMajor, transA == false ? CblasNoTrans : CblasTrans,
-                 transB == false ? CblasNoTrans : CblasTrans, M, N, K, alpha, A,
-                 lda, B, ldb, beta, C, ldc);
+  GEMM_WARP<T>(CblasRowMajor, transA == false ? CblasNoTrans : CblasTrans,
+               transB == false ? CblasNoTrans : CblasTrans, M, N, K, alpha, A,
+               lda, B, ldb, beta, C, ldc);
 }
 
 template <typename DeviceContext>

paddle/fluid/operators/math/math_function_test.cc

@@ -228,3 +228,57 @@ TEST(math_funciton, set_constant) {
   }
   delete ctx;
 }
+
+template <typename T>
+void GemmWarpTest(int m, int n, int k, T alpha, T beta) {
+  paddle::framework::Tensor mat_a;
+  paddle::framework::Tensor mat_b;
+  paddle::framework::Tensor mat_c_ref;
+  paddle::framework::Tensor mat_c_mkl;
+  auto* cpu_place = new paddle::platform::CPUPlace();
+
+  T* A = mat_a.mutable_data<T>({m, k}, *cpu_place);
+  T* B = mat_b.mutable_data<T>({k, n}, *cpu_place);
+  T* CREF = mat_c_ref.mutable_data<T>({m, n}, *cpu_place);
+  T* CMKL = mat_c_mkl.mutable_data<T>({m, n}, *cpu_place);
+
+  ASSERT_EQ(mat_c_mkl.numel(), mat_c_ref.numel());
+  for (int i = 0; i < mat_a.numel(); ++i) {
+    A[i] = static_cast<T>(i);
+  }
+  for (int i = 0; i < mat_b.numel(); ++i) {
+    B[i] = static_cast<T>(i + 1);
+  }
+  for (int i = 0; i < mat_c_ref.numel(); ++i) {
+    CREF[i] = static_cast<T>(i + 2);
+    CMKL[i] = CREF[i];
+  }
+
+  // this would call gemm_warp
+  paddle::platform::CPUDeviceContext context(*cpu_place);
+  GetBlas<T>(context).GEMM(CblasNoTrans, CblasNoTrans, m, n, k, alpha, A, B,
+                           beta, CREF);
+
+  // lda,ldb,ldc follow RowMajor
+  int lda = k;
+  int ldb = n;
+  int ldc = n;
+  paddle::operators::math::CBlas<T>::GEMM(CblasRowMajor, CblasNoTrans,
+                                          CblasNoTrans, m, n, k, alpha, A, lda,
+                                          B, ldb, beta, CMKL, ldc);
+
+  for (int i = 0; i < mat_c_mkl.numel(); ++i) {
+    EXPECT_FLOAT_EQ(CREF[i], CMKL[i]);
+  }
+}
+
+TEST(math_function, gemm_warp) {
+  GemmWarpTest<float>(3, 2, 5, 1.f, 0.f);
+  GemmWarpTest<float>(3, 2, 5, 2.f, 1.f);
+  GemmWarpTest<float>(8, 5, 6, 1.f, 0.f);
+  GemmWarpTest<float>(8, 5, 6, 2.f, 1.f);
+  GemmWarpTest<double>(3, 2, 5, 1.0, 0.0);
+  GemmWarpTest<double>(3, 2, 5, 2.0, 1.0);
+  GemmWarpTest<double>(8, 5, 6, 1.0, 0.0);
+  GemmWarpTest<double>(8, 5, 6, 2.0, 1.0);
+}