1/**
2 * Copyright (c) Glow Contributors. See CONTRIBUTORS file.
3 *
4 * Licensed under the Apache License, Version 2.0 (the "License");
5 * you may not use this file except in compliance with the License.
6 * You may obtain a copy of the License at
7 *
8 * http://www.apache.org/licenses/LICENSE-2.0
9 *
10 * Unless required by applicable law or agreed to in writing, software
11 * distributed under the License is distributed on an "AS IS" BASIS,
12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13 * See the License for the specific language governing permissions and
14 * limitations under the License.
15 */
16
17#include "glow/ExecutionEngine/ExecutionEngine.h"
18#include "glow/Graph/Graph.h"
19#include "glow/IR/IR.h"
20#include "glow/IR/IRBuilder.h"
21#include "glow/IR/Instrs.h"
22#include "glow/Support/Random.h"
23
24#include "gtest/gtest.h"
25
26#include <cassert>
27#include <string>
28
29using namespace glow;
30using llvm::cast;
31
32extern "C" {
33// Forward declare functions from libjit.
34extern void libjit_matmul_f(float *c, const float *a, const float *b,
35 const dim_t *cDims, const dim_t *aDims,
36 const dim_t *bDims);
37}
38
39void infer(Tensor *out, Tensor *lhs, Tensor *rhs) {
40 ExecutionEngine EE;
41 PlaceholderBindings bindings;
42
43 auto &mod = EE.getModule();
44 Function *F = mod.createFunction("main");
45 auto *lhsVar =
46 mod.createPlaceholder(lhs->getElementType(), lhs->dims(), "lhs", false);
47 bindings.allocate(lhsVar);
48 auto *rhsVar =
49 mod.createPlaceholder(rhs->getElementType(), rhs->dims(), "rhs", false);
50 bindings.allocate(rhsVar);
51 auto OT = F->getParent()->uniqueType(out->getElementType(), out->dims());
52 auto *matmul = F->createMatMul("matmul", OT, lhsVar, rhsVar);
53 auto *save = F->createSave("ret", matmul);
54 auto *res = bindings.allocate(save->getPlaceholder());
55
56 EE.compile(CompilationMode::Infer);
57
58 updateInputPlaceholders(bindings, {lhsVar, rhsVar}, {lhs, rhs});
59 EE.run(bindings);
60
61 out->assign(res);
62}
63
64static void testGemm(dim_t m, dim_t n, dim_t k) {
65 PseudoRNG PRNG;
66
67 Tensor lhs(ElemKind::FloatTy, {m, k});
68 Tensor rhs(ElemKind::FloatTy, {k, n});
69 lhs.getHandle().randomize(-7.2, 8.3, PRNG);
70 rhs.getHandle().randomize(-6.3, 10.1, PRNG);
71 Tensor out1(ElemKind::FloatTy, {m, n});
72 Tensor out2(ElemKind::FloatTy, {m, n});
73
74 libjit_matmul_f((float *)out1.getUnsafePtr(), (float *)lhs.getUnsafePtr(),
75 (float *)rhs.getUnsafePtr(), out1.dims().data(),
76 lhs.dims().data(), rhs.dims().data());
77
78 infer(&out2, &lhs, &rhs);
79
80 EXPECT_TRUE(out1.isEqual(out2, 2e-2));
81}
82
83TEST(Gemm, Sweep) {
84 for (size_t m : {1, 4, 5, 8}) {
85 for (size_t n : {1, 16, 17, 1024}) {
86 for (size_t k : {1, 3}) {
87 testGemm(m, n, k);
88 }
89 }
90 }
91}
92
93TEST(Gemm, Big) { testGemm(1, 1028, 32); }
94