[SYCL][Matrix] Add test for all sizes

sycl/test-e2e/Matrix/XMX8/joint_matrix_all_sizes.cpp

@@ -0,0 +1,23 @@
+//==-------- joint_matrix_all_sizes.cpp  - DPC++ joint_matrix---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix-xmx8
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 8
+
+#include "../joint_matrix_all_sizes_impl.hpp"

sycl/test-e2e/Matrix/XMX8/joint_matrix_bfloat16_32x64.cpp

@@ -5,7 +5,7 @@
 // SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
 //
 //===----------------------------------------------------------------------===//
-// REQUIRES: matrix
+// REQUIRES: matrix-xmx8
 
 // RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
 // RUN: %CPU_RUN_PLACEHOLDER %t.out

sycl/test-e2e/Matrix/joint_matrix_all_sizes.cpp

@@ -0,0 +1,23 @@
+//==-------- joint_matrix_all_sizes.cpp  - DPC++ joint_matrix---------------==//
+//
+// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
+// See https://llvm.org/LICENSE.txt for license information.
+// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+//
+//===----------------------------------------------------------------------===//
+// REQUIRES: matrix
+
+// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=4
+// RUN: %CPU_RUN_PLACEHOLDER %t.out
+// RUN: %GPU_RUN_PLACEHOLDER %t.out
+
+#include <iostream>
+#include <sycl/sycl.hpp>
+
+using namespace sycl;
+using namespace sycl::ext::oneapi::experimental::matrix;
+using bfloat16 = sycl::ext::oneapi::bfloat16;
+
+#define SG_SZ 16
+
+#include "joint_matrix_all_sizes_impl.hpp"

sycl/test-e2e/Matrix/joint_matrix_all_sizes_impl.hpp

@@ -0,0 +1,199 @@
+#define BF16_EPSILON 0.00781250
+static constexpr size_t M_MULTIPLIER = 16;
+
+template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix {
+private:
+  T *mat;
+
+public:
+  T *get_data() { return mat; }
+  void set_data(T *data) { mat = data; }
+  big_matrix(T *data) : mat(data) {}
+};
+
+template <typename T>
+void matrix_vnni(unsigned int rows, unsigned int cols, T *src, T *dest,
+                 unsigned int vnniFactor) {
+  for (unsigned int i = 0; i < rows / vnniFactor; i++) {
+    for (unsigned int j = 0; j < cols; j++) {
+      for (unsigned int k = 0; k < vnniFactor; k++) {
+        dest[i * cols * vnniFactor + j * vnniFactor + k] =
+            src[(i * vnniFactor + k) * cols + j];
+      }
+    }
+  }
+}
+
+template <typename T1, typename T2, size_t M, size_t N, size_t K,
+          int vnniFactor, size_t TM, size_t TN, size_t TK>
+void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A,
+                     big_matrix<T2, K / vnniFactor, N * vnniFactor> &B) {
+  size_t NDRangeM = M / TM;
+  size_t NDRangeN = N / TN;
+  buffer<T2, 2> bufA(A.get_data(), range<2>(M, K));
+  buffer<T2, 2> bufB(B.get_data(), range<2>(K, N));
+  buffer<T1, 2> bufC(C.get_data(), range<2>(M, N));
+
+  queue q;
+  q.submit([&](handler &cgh) {
+     sycl::accessor accC{bufC, cgh, sycl::read_write};
+     sycl::accessor accA{bufA, cgh, sycl::read_only};
+     sycl::accessor accB{bufB, cgh, sycl::read_only};
+
+     cgh.parallel_for(
+         nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}),
+         [=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]]
+
+         {
+           // The submatrix API has to be accessed by all the workitems in a
+           // subgroup these functions will be called once by the subgroup no
+           // code divergence between the workitems
+           const auto global_idx = spmd_item.get_global_id(0);
+           const auto global_idy = spmd_item.get_global_id(1);
+           const auto sg_startx = global_idx - spmd_item.get_local_id(0);
+           const auto sg_starty = global_idy - spmd_item.get_local_id(1);
+
+           sub_group sg = spmd_item.get_sub_group();
+           joint_matrix<sub_group, T2, use::a, TM, TK, layout::row_major> sub_a;
+           // For B, we assume B has been already VNNIed.
+           joint_matrix<sub_group, T2, use::b, TK, TN,
+                        ext::intel::experimental::matrix::layout::packed>
+               sub_b;
+           joint_matrix<sub_group, T1, use::accumulator, TM, TN> sub_c;
+
+           joint_matrix_load(sg, sub_c,
+                             accC.get_pointer() + (sg_startx * TM) * N +
+                                 sg_starty / SG_SZ * TN,
+                             N, layout::row_major);
+           for (int k = 0; k < K / TK; k += 1) {
+             joint_matrix_load(
+                 sg, sub_a, accA.get_pointer() + (sg_startx * TM) * K + k * TK,
+                 K);
+             joint_matrix_load(sg, sub_b,
+                               accB.get_pointer() +
+                                   (k * TK / vnniFactor) * (N * vnniFactor) +
+                                   sg_starty / SG_SZ * TN * vnniFactor,
+                               N * vnniFactor);
+             sub_c = joint_matrix_mad(sg, sub_a, sub_b, sub_c);
+           }
+           joint_matrix_store(sg, sub_c,
+                              accC.get_pointer() + (sg_startx * TM) * N +
+                                  sg_starty / SG_SZ * TN,
+                              N, layout::row_major);
+         }); // parallel for
+   }).wait();
+}
+
+static constexpr size_t MATRIX_N = 128;
+static constexpr size_t MATRIX_K = 128;
+
+float make_fp32(bfloat16 x) {
+  unsigned int y = *((int *)&x);
+  y = y << 16;
+  float *res = reinterpret_cast<float *>(&y);
+  return *res;
+}
+
+template <typename Ta, typename Tc>
+void matrix_multiply_ref(Ta *A, Ta *B, Tc *C, int M, int N, int K) {
+  for (int m = 0; m < M; m++)
+    for (int n = 0; n < N; n++) {
+      for (int k = 0; k < K; k++) {
+        if (std::is_same_v<Ta, bfloat16> && std::is_same_v<Tc, float>)
+          C[m * N + n] += make_fp32(A[m * K + k]) * make_fp32(B[k * N + n]);
+        if (std::is_same_v<Ta, int8_t> && std::is_same_v<Tc, int32_t>)
+          C[m * N + n] += A[m * K + k] * B[k * N + n];
+      }
+    }
+}
+
+template <typename Ta, typename Tc, int vnni_factor, size_t tM, size_t tN,
+          size_t tK>
+int init_and_multiply() {
+
+  static constexpr size_t MATRIX_M = tM * M_MULTIPLIER;
+  std::cout << "MATRIX_M=" << MATRIX_M << "\n";
+
+  Ta A[MATRIX_M][MATRIX_K];
+  Ta B[MATRIX_K][MATRIX_N];
+  Ta Bvnni[MATRIX_K / vnni_factor][MATRIX_N * vnni_factor];
+  Tc C[MATRIX_M][MATRIX_N];
+  Tc D[MATRIX_M][MATRIX_N];
+
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_K; j++) {
+      if (std::is_same_v<Ta, bfloat16> && std::is_same_v<Tc, float>)
+        A[i][j] = bfloat16(1.0f * (i + j));
+      if (std::is_same_v<Ta, int8_t> && std::is_same_v<Tc, int32_t>)
+        A[i][j] = i + j;
+    }
+  }
+  for (int i = 0; i < MATRIX_K; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if (std::is_same_v<Ta, bfloat16> && std::is_same_v<Tc, float>)
+        B[i][j] = bfloat16(2.0f * i + 3.0f * j);
+      if (std::is_same_v<Ta, int8_t> && std::is_same_v<Tc, int32_t>)
+        B[i][j] = i + 2 * j;
+    }
+  }
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      C[i][j] = 1;
+      D[i][j] = 1;
+    }
+  }
+
+  big_matrix<Tc, MATRIX_M, MATRIX_N> MC((Tc *)&C);
+  big_matrix<Tc, MATRIX_M, MATRIX_N> MD((Tc *)&D);
+  big_matrix<Ta, MATRIX_M, MATRIX_K> MA((Ta *)&A);
+  matrix_vnni<Ta>(MATRIX_K, MATRIX_N, (Ta *)&B, (Ta *)&Bvnni, vnni_factor);
+  big_matrix<Ta, MATRIX_K / vnni_factor, MATRIX_N * vnni_factor> MBvnni(
+      (Ta *)&Bvnni);
+
+  matrix_multiply<Tc, Ta, MATRIX_M, MATRIX_N, MATRIX_K, vnni_factor, tM, tN,
+                  tK>(MC, MA, MBvnni);
+  matrix_multiply_ref((Ta *)A, (Ta *)B, (Tc *)D, MATRIX_M, MATRIX_N, MATRIX_K);
+
+  bool res = true;
+  for (int i = 0; i < MATRIX_M; i++) {
+    for (int j = 0; j < MATRIX_N; j++) {
+      if constexpr (std::is_same_v<Ta, bfloat16> && std::is_same_v<Tc, float>) {
+        if (fabs(C[i][j] - D[i][j]) > BF16_EPSILON) {
+          res = false;
+          std::cout << "Failed bfloat16: C is " << C[i][j] << ", D is "
+                    << D[i][j] << std::endl;
+        }
+      } else if (std::is_same_v<Ta, int8_t> && std::is_same_v<Tc, int32_t>) {
+        if (C[i][j] != D[i][j]) {
+          res = false;
+          std::cout << "Failed int8_t: C is " << C[i][j] << ", D is " << D[i][j]
+                    << std::endl;
+        }
+      }
+    }
+  }
+  std::cout << (res ? "passed" : "failed") << std::endl;
+  return !res;
+}
+
+int main() {
+  init_and_multiply<bfloat16, float, 2, 1, SG_SZ, 16>();
+  init_and_multiply<bfloat16, float, 2, 2, SG_SZ, 16>();
+  init_and_multiply<bfloat16, float, 2, 3, SG_SZ, 16>();
+  init_and_multiply<bfloat16, float, 2, 4, SG_SZ, 16>();
+  init_and_multiply<bfloat16, float, 2, 5, SG_SZ, 16>();
+  init_and_multiply<bfloat16, float, 2, 6, SG_SZ, 16>();
+  init_and_multiply<bfloat16, float, 2, 7, SG_SZ, 16>();
+  init_and_multiply<bfloat16, float, 2, 8, SG_SZ, 16>();
+
+  init_and_multiply<int8_t, int32_t, 4, 1, SG_SZ, 32>();
+  init_and_multiply<int8_t, int32_t, 4, 2, SG_SZ, 32>();
+  init_and_multiply<int8_t, int32_t, 4, 3, SG_SZ, 32>();
+  init_and_multiply<int8_t, int32_t, 4, 4, SG_SZ, 32>();
+  init_and_multiply<int8_t, int32_t, 4, 5, SG_SZ, 32>();
+  init_and_multiply<int8_t, int32_t, 4, 6, SG_SZ, 32>();
+  init_and_multiply<int8_t, int32_t, 4, 7, SG_SZ, 32>();
+  init_and_multiply<int8_t, int32_t, 4, 8, SG_SZ, 32>();
+
+  return 0;
+}