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[SYCL][Matrix]update recent tests to use the new API and remove depre…
…cated bfloat16::from_bits (intel#1494) - Update recently added tests to use the new API (col major and row major tests VNNI/transpose) - Fix make_fp32 function so it does not do extra conversion - remove deprecated bfloat16::from_bits
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SYCL/Matrix/Legacy/joint_matrix_bfloat16_colmajorA_colmajorB.cpp
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//==-- joint_matrix_bfloat16_colmajorA_colmajorB.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 | ||
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// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1 | ||
// RUN: %CPU_RUN_PLACEHOLDER %t.out | ||
// RUN: %GPU_RUN_PLACEHOLDER %t.out | ||
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// This tests support of col major layout for matrix B which does transpose and | ||
// then VNNI transform. This is currently only available on AMX | ||
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// XFAIL: gpu | ||
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#include <iostream> | ||
#include <sycl/sycl.hpp> | ||
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using namespace sycl; | ||
using namespace sycl::ext::oneapi::experimental::matrix; | ||
using bfloat16 = sycl::ext::oneapi::bfloat16; | ||
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#define SG_SZ 16 | ||
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#include "joint_matrix_bfloat16_colmajorA_colmajorB_impl.hpp" |
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SYCL/Matrix/Legacy/joint_matrix_bfloat16_colmajorA_colmajorB_impl.hpp
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#define TM 8 | ||
#define TN SG_SZ | ||
#define TK 16 | ||
#define BF16_EPSILON 0.00781250 | ||
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template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix { | ||
private: | ||
T *mat; | ||
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public: | ||
T *get_data() { return mat; } | ||
void set_data(T *data) { mat = data; } | ||
big_matrix(T *data) : mat(data) {} | ||
}; | ||
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template <typename T1, typename T2, size_t M, size_t N, size_t K> | ||
void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A, | ||
big_matrix<T2, K, N> &B) { | ||
size_t NDRangeM = M / TM; | ||
size_t NDRangeN = N / TN; | ||
buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K)); | ||
buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N)); | ||
buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N)); | ||
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queue q; | ||
q.submit([&](handler &cgh) { | ||
auto accC = bufC.get_access<access::mode::read_write>(cgh); | ||
auto accA = bufA.get_access<access::mode::read_write>(cgh); | ||
auto accB = bufB.get_access<access::mode::read_write>(cgh); | ||
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cgh.parallel_for<class imatrix>( | ||
nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}), | ||
[=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] | ||
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{ | ||
// 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); | ||
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ext::oneapi::sub_group sg = spmd_item.get_sub_group(); | ||
joint_matrix<bfloat16, TM, TK> sub_a(sg); | ||
joint_matrix<bfloat16, TK, TN, matrix_layout::packed_b> sub_b(sg); | ||
joint_matrix<float, TM, TN> sub_c(sg); | ||
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joint_matrix_load(sg, sub_c, | ||
accC.get_pointer() + (sg_startx * TM) * N + | ||
sg_starty / SG_SZ * TN, | ||
N, matrix_layout::row_major); | ||
for (int k = 0; k < K / TK; k += 1) { // | ||
joint_matrix_load( | ||
sg, sub_a, accA.get_pointer() + (k * TK) * M + sg_startx * TM, | ||
M, matrix_layout::col_major); | ||
joint_matrix_load(sg, sub_b, | ||
accB.get_pointer() + | ||
(sg_starty / SG_SZ * TN) * K + k * TK, | ||
K, matrix_layout::col_major); | ||
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, matrix_layout::row_major); | ||
}); // parallel for | ||
}).wait(); | ||
} | ||
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static constexpr size_t MATRIX_M = TM * 2; | ||
static constexpr size_t MATRIX_N = TN * 2; | ||
static constexpr size_t MATRIX_K = TK * 2; | ||
bfloat16 A[MATRIX_K][MATRIX_M]; | ||
bfloat16 B[MATRIX_N][MATRIX_K]; | ||
float C[MATRIX_M][MATRIX_N]; | ||
float D[MATRIX_M][MATRIX_N]; | ||
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float make_fp32(bfloat16 x) { | ||
unsigned int y = *((int *)&x); | ||
y = y << 16; | ||
float *res = reinterpret_cast<float *>(&y); | ||
return *res; | ||
} | ||
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void matrix_multiply_ref(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++) { | ||
D[m][n] += make_fp32(A[k][m]) * make_fp32(B[n][k]); | ||
} | ||
} | ||
} | ||
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int main() { | ||
for (int i = 0; i < MATRIX_K; i++) { | ||
for (int j = 0; j < MATRIX_M; j++) { | ||
A[i][j] = bfloat16(1.0f * (i + j)); | ||
} | ||
} | ||
for (int i = 0; i < MATRIX_N; i++) { | ||
for (int j = 0; j < MATRIX_K; j++) { | ||
B[i][j] = bfloat16(2.0f * i + 3.0f * j); | ||
} | ||
} | ||
for (int i = 0; i < MATRIX_M; i++) { | ||
for (int j = 0; j < MATRIX_N; j++) { | ||
C[i][j] = 1.0; | ||
D[i][j] = 1.0; | ||
} | ||
} | ||
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big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C); | ||
big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D); | ||
big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A); | ||
big_matrix<bfloat16, MATRIX_K, MATRIX_N> MB((bfloat16 *)&B); | ||
matrix_multiply(MC, MA, MB); | ||
matrix_multiply_ref(MATRIX_M, MATRIX_N, MATRIX_K); | ||
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bool res = true; | ||
for (int i = 0; i < MATRIX_M; i++) { | ||
for (int j = 0; j < MATRIX_N; j++) { | ||
if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON) | ||
res = false; | ||
} | ||
} | ||
std::cout << (res ? "passed" : "failed") << std::endl; | ||
return !res; | ||
} |
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28
SYCL/Matrix/Legacy/joint_matrix_bfloat16_rowmajorA_rowmajorB.cpp
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@@ -0,0 +1,28 @@ | ||
//==--joint_matrix_bfloat16_rowmajorA_rowmajorB.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 | ||
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// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1 | ||
// RUN: %CPU_RUN_PLACEHOLDER %t.out | ||
// RUN: %GPU_RUN_PLACEHOLDER %t.out | ||
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// This tests support of row major layout for matrix B which does automatic VNNI | ||
// transform. This is currently only available on AMX | ||
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// XFAIL: gpu | ||
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#include <iostream> | ||
#include <sycl/sycl.hpp> | ||
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using namespace sycl; | ||
using namespace sycl::ext::oneapi::experimental::matrix; | ||
using bfloat16 = sycl::ext::oneapi::bfloat16; | ||
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#define SG_SZ 16 | ||
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#include "joint_matrix_bfloat16_rowmajorA_rowmajorB_impl.hpp" |
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129
SYCL/Matrix/Legacy/joint_matrix_bfloat16_rowmajorA_rowmajorB_impl.hpp
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@@ -0,0 +1,129 @@ | ||
#define TM 8 | ||
#define TN SG_SZ | ||
#define TK 16 | ||
#define BF16_EPSILON 0.00781250 | ||
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template <typename T, size_t NUM_ROWS, size_t NUM_COLS> struct big_matrix { | ||
private: | ||
T *mat; | ||
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public: | ||
T *get_data() { return mat; } | ||
void set_data(T *data) { mat = data; } | ||
big_matrix(T *data) : mat(data) {} | ||
}; | ||
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template <typename T1, typename T2, size_t M, size_t N, size_t K> | ||
void matrix_multiply(big_matrix<T1, M, N> &C, big_matrix<T2, M, K> &A, | ||
big_matrix<T2, K, N> &B) { | ||
size_t NDRangeM = M / TM; | ||
size_t NDRangeN = N / TN; | ||
buffer<bfloat16, 2> bufA(A.get_data(), range<2>(M, K)); | ||
buffer<bfloat16, 2> bufB(B.get_data(), range<2>(K, N)); | ||
buffer<float, 2> bufC((float *)C.get_data(), range<2>(M, N)); | ||
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queue q; | ||
q.submit([&](handler &cgh) { | ||
auto accC = bufC.get_access<access::mode::read_write>(cgh); | ||
auto accA = bufA.get_access<access::mode::read_write>(cgh); | ||
auto accB = bufB.get_access<access::mode::read_write>(cgh); | ||
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cgh.parallel_for<class imatrix>( | ||
nd_range<2>({NDRangeM, NDRangeN * SG_SZ}, {1, 1 * SG_SZ}), | ||
[=](nd_item<2> spmd_item) [[intel::reqd_sub_group_size(SG_SZ)]] | ||
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{ | ||
// 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); | ||
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ext::oneapi::sub_group sg = spmd_item.get_sub_group(); | ||
joint_matrix<bfloat16, TM, TK> sub_a(sg); | ||
joint_matrix<bfloat16, TK, TN, matrix_layout::packed_b> sub_b(sg); | ||
joint_matrix<float, TM, TN> sub_c(sg); | ||
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joint_matrix_load(sg, sub_c, | ||
accC.get_pointer() + (sg_startx * TM) * N + | ||
sg_starty / SG_SZ * TN, | ||
N, matrix_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, matrix_layout::row_major); | ||
joint_matrix_load(sg, sub_b, | ||
accB.get_pointer() + (k * TK) * (N) + | ||
sg_starty / SG_SZ * TN, | ||
N, matrix_layout::row_major); | ||
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, matrix_layout::row_major); | ||
}); // parallel for | ||
}).wait(); | ||
} | ||
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static constexpr size_t MATRIX_M = TM * 2; | ||
static constexpr size_t MATRIX_N = TN * 2; | ||
static constexpr size_t MATRIX_K = TK * 2; | ||
bfloat16 A[MATRIX_M][MATRIX_K]; | ||
bfloat16 B[MATRIX_K][MATRIX_N]; | ||
float C[MATRIX_M][MATRIX_N]; | ||
float D[MATRIX_M][MATRIX_N]; | ||
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float make_fp32(bfloat16 x) { | ||
unsigned int y = *((int *)&x); | ||
y = y << 16; | ||
float *res = reinterpret_cast<float *>(&y); | ||
return *res; | ||
} | ||
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void matrix_multiply_ref(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++) { | ||
D[m][n] += make_fp32(A[m][k]) * make_fp32(B[k][n]); | ||
} | ||
} | ||
} | ||
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int main() { | ||
for (int i = 0; i < MATRIX_M; i++) { | ||
for (int j = 0; j < MATRIX_K; j++) { | ||
A[i][j] = bfloat16(1.0f * (i + j)); | ||
} | ||
} | ||
for (int i = 0; i < MATRIX_K; i++) { | ||
for (int j = 0; j < MATRIX_N; j++) { | ||
B[i][j] = bfloat16(2.0f * i + 3.0f * j); | ||
} | ||
} | ||
for (int i = 0; i < MATRIX_M; i++) { | ||
for (int j = 0; j < MATRIX_N; j++) { | ||
C[i][j] = 1.0; | ||
D[i][j] = 1.0; | ||
} | ||
} | ||
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big_matrix<float, MATRIX_M, MATRIX_N> MC((float *)&C); | ||
big_matrix<float, MATRIX_M, MATRIX_N> MD((float *)&D); | ||
big_matrix<bfloat16, MATRIX_M, MATRIX_K> MA((bfloat16 *)&A); | ||
big_matrix<bfloat16, MATRIX_K, MATRIX_N> MB((bfloat16 *)&B); | ||
matrix_multiply(MC, MA, MB); | ||
matrix_multiply_ref(MATRIX_M, MATRIX_N, MATRIX_K); | ||
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bool res = true; | ||
for (int i = 0; i < MATRIX_M; i++) { | ||
for (int j = 0; j < MATRIX_N; j++) { | ||
if ((fabs(C[i][j]) - fabs(D[i][j])) > BF16_EPSILON) | ||
res = false; | ||
} | ||
} | ||
std::cout << (res ? "passed" : "failed") << std::endl; | ||
return !res; | ||
} |
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SYCL/Matrix/Legacy/joint_matrix_int8_colmajorA_colmajorB.cpp
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@@ -0,0 +1,27 @@ | ||
//==----- joint_matrix_int8_colmajorA_colmajorB.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 | ||
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// RUN: %clangxx -fsycl %s -o %t.out -DSYCL_EXT_ONEAPI_MATRIX_VERSION=1 | ||
// RUN: %CPU_RUN_PLACEHOLDER %t.out | ||
// RUN: %GPU_RUN_PLACEHOLDER %t.out | ||
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// This tests support of col major layout for matrix B which does transpose and | ||
// then VNNI transform. This is currently only available on AMX | ||
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// XFAIL: gpu | ||
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#include <iostream> | ||
#include <sycl/sycl.hpp> | ||
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using namespace sycl; | ||
using namespace sycl::ext::oneapi::experimental::matrix; | ||
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#define SG_SZ 16 | ||
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#include "joint_matrix_int8_colmajorA_colmajorB_impl.hpp" |
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