Commit ab639e4a authored by Clemens Hammacher's avatar Clemens Hammacher Committed by Commit Bot

Revert "[test] Avoid unnecessary std::vector allocations"

This reverts commit e737b4ce.

Reason for revert: On windows, V8_INFINITY is not constexpr

Original change's description:
> [test] Avoid unnecessary std::vector allocations
> 
> Instead of copying an array of fixed values into an std::vector for
> each usage of the FOR_INPUTS macro, just iterate the constant data
> directly.
> This also makes the <type>_vector() functions return {constexpr Vector}
> instead of {std::vector}.
> 
> R=​tebbi@chromium.org
> 
> Change-Id: Ifc3e5509b2fbf5e383c967c2f46acf2b07f7b5b4
> Reviewed-on: https://chromium-review.googlesource.com/725427
> Reviewed-by: Tobias Tebbi <tebbi@chromium.org>
> Commit-Queue: Clemens Hammacher <clemensh@chromium.org>
> Cr-Commit-Position: refs/heads/master@{#48688}

TBR=clemensh@chromium.org,tebbi@chromium.org

Change-Id: Iccb52941d4efe71b49b41572c3d922a5d78bdfd2
No-Presubmit: true
No-Tree-Checks: true
No-Try: true
Reviewed-on: https://chromium-review.googlesource.com/725899Reviewed-by: 's avatarClemens Hammacher <clemensh@chromium.org>
Commit-Queue: Clemens Hammacher <clemensh@chromium.org>
Cr-Commit-Position: refs/heads/master@{#48691}
parent 5f846240
......@@ -19,14 +19,14 @@ namespace internal {
template <typename T>
class Vector {
public:
constexpr Vector() : start_(nullptr), length_(0) {}
Vector() : start_(nullptr), length_(0) {}
Vector(T* data, size_t length) : start_(data), length_(length) {
DCHECK(length == 0 || data != nullptr);
}
template <int N>
explicit constexpr Vector(T (&arr)[N]) : start_(arr), length_(N) {}
explicit Vector(T (&arr)[N]) : start_(arr), length_(N) {}
static Vector<T> New(int length) {
return Vector<T>(NewArray<T>(length), length);
......@@ -47,13 +47,13 @@ class Vector {
}
// Returns the length of the vector as a size_t.
constexpr size_t size() const { return length_; }
size_t size() const { return length_; }
// Returns whether or not the vector is empty.
constexpr bool is_empty() const { return length_ == 0; }
bool is_empty() const { return length_ == 0; }
// Returns the pointer to the start of the data in the vector.
constexpr T* start() const { return start_; }
T* start() const { return start_; }
// Access individual vector elements - checks bounds in debug mode.
T& operator[](size_t index) const {
......@@ -65,14 +65,11 @@ class Vector {
T& first() { return start_[0]; }
T& last() {
DCHECK_LT(0, length_);
return start_[length_ - 1];
}
T& last() { return start_[length_ - 1]; }
typedef T* iterator;
constexpr iterator begin() const { return start_; }
constexpr iterator end() const { return start_ + length_; }
inline iterator begin() const { return &start_[0]; }
inline iterator end() const { return &start_[length_]; }
// Returns a clone of this vector with a new backing store.
Vector<T> Clone() const {
......@@ -133,8 +130,8 @@ class Vector {
// Factory method for creating empty vectors.
static Vector<T> empty() { return Vector<T>(nullptr, 0); }
template <typename S>
static constexpr Vector<T> cast(Vector<S> input) {
template<typename S>
static Vector<T> cast(Vector<S> input) {
return Vector<T>(reinterpret_cast<T*>(input.start()),
input.length() * sizeof(S) / sizeof(T));
}
......@@ -217,7 +214,7 @@ inline Vector<char> MutableCStrVector(char* data, int max) {
}
template <typename T, int N>
inline constexpr Vector<T> ArrayVector(T (&arr)[N]) {
inline Vector<T> ArrayVector(T (&arr)[N]) {
return Vector<T>(arr);
}
......
......@@ -87,7 +87,6 @@ v8_source_set("cctest_sources") {
"compiler/test-run-unwinding-info.cc",
"compiler/test-run-variables.cc",
"compiler/test-run-wasm-machops.cc",
"compiler/value-helper.cc",
"compiler/value-helper.h",
"expression-type-collector-macros.h",
"gay-fixed.cc",
......
......@@ -75,7 +75,6 @@
'compiler/test-run-stubs.cc',
'compiler/test-run-variables.cc',
'compiler/test-run-wasm-machops.cc',
'compiler/value-helper.cc',
'compiler/value-helper.h',
'cctest.cc',
'cctest.h',
......
......@@ -285,7 +285,7 @@ TEST(CompareWrapper) {
void Int32BinopInputShapeTester::TestAllInputShapes() {
Vector<const int32_t> inputs = ValueHelper::int32_vector();
std::vector<int32_t> inputs = ValueHelper::int32_vector();
int num_int_inputs = static_cast<int>(inputs.size());
if (num_int_inputs > 16) num_int_inputs = 16; // limit to 16 inputs
......
// Copyright 2017 the V8 project authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "test/cctest/compiler/value-helper.h"
namespace v8 {
namespace internal {
namespace compiler {
// Define constexpr arrays of ValueHelper for external references.
constexpr int8_t ValueHelper::int8_array[];
constexpr int16_t ValueHelper::int16_array[];
constexpr uint32_t ValueHelper::uint32_array[];
constexpr uint64_t ValueHelper::uint64_array[];
constexpr float ValueHelper::float32_array[];
constexpr double ValueHelper::float64_array[];
} // namespace compiler
} // namespace internal
} // namespace v8
......@@ -7,11 +7,9 @@
#include <stdint.h>
#include "src/base/template-utils.h"
#include "src/compiler/common-operator.h"
#include "src/compiler/node-matchers.h"
#include "src/compiler/node.h"
#include "src/heap/heap-inl.h"
#include "src/compiler/node-matchers.h"
#include "src/isolate.h"
#include "src/objects.h"
#include "test/cctest/cctest.h"
......@@ -62,277 +60,283 @@ class ValueHelper {
CheckHeapConstant(isolate_->heap()->false_value(), node);
}
static constexpr float float32_array[] = {
-std::numeric_limits<float>::infinity(),
-2.70497e+38f,
-1.4698e+37f,
-1.22813e+35f,
-1.20555e+35f,
-1.34584e+34f,
-1.0079e+32f,
-6.49364e+26f,
-3.06077e+25f,
-1.46821e+25f,
-1.17658e+23f,
-1.9617e+22f,
-2.7357e+20f,
-9223372036854775808.0f, // INT64_MIN
-1.48708e+13f,
-1.89633e+12f,
-4.66622e+11f,
-2.22581e+11f,
-1.45381e+10f,
-2147483904.0f, // First float32 after INT32_MIN
-2147483648.0f, // INT32_MIN
-2147483520.0f, // Last float32 before INT32_MIN
-1.3956e+09f,
-1.32951e+09f,
-1.30721e+09f,
-1.19756e+09f,
-9.26822e+08f,
-6.35647e+08f,
-4.00037e+08f,
-1.81227e+08f,
-5.09256e+07f,
-964300.0f,
-192446.0f,
-28455.0f,
-27194.0f,
-26401.0f,
-20575.0f,
-17069.0f,
-9167.0f,
-960.178f,
-113.0f,
-62.0f,
-15.0f,
-7.0f,
-1.0f,
-0.0256635f,
-4.60374e-07f,
-3.63759e-10f,
-4.30175e-14f,
-5.27385e-15f,
-1.5707963267948966f,
-1.48084e-15f,
-2.220446049250313e-16f,
-1.05755e-19f,
-3.2995e-21f,
-1.67354e-23f,
-1.11885e-23f,
-1.78506e-30f,
-5.07594e-31f,
-3.65799e-31f,
-1.43718e-34f,
-1.27126e-38f,
-0.0f,
0.0f,
1.17549e-38f,
1.56657e-37f,
4.08512e-29f,
3.31357e-28f,
6.25073e-22f,
4.1723e-13f,
1.44343e-09f,
1.5707963267948966f,
5.27004e-08f,
9.48298e-08f,
5.57888e-07f,
4.89988e-05f,
0.244326f,
1.0f,
12.4895f,
19.0f,
47.0f,
106.0f,
538.324f,
564.536f,
819.124f,
7048.0f,
12611.0f,
19878.0f,
20309.0f,
797056.0f,
1.77219e+09f,
2147483648.0f, // INT32_MAX + 1
4294967296.0f, // UINT32_MAX + 1
1.51116e+11f,
4.18193e+13f,
3.59167e+16f,
9223372036854775808.0f, // INT64_MAX + 1
18446744073709551616.0f, // UINT64_MAX + 1
3.38211e+19f,
2.67488e+20f,
1.78831e+21f,
9.20914e+21f,
8.35654e+23f,
1.4495e+24f,
5.94015e+25f,
4.43608e+30f,
2.44502e+33f,
2.61152e+33f,
1.38178e+37f,
1.71306e+37f,
3.31899e+38f,
3.40282e+38f,
std::numeric_limits<float>::infinity(),
std::numeric_limits<float>::quiet_NaN(),
-std::numeric_limits<float>::quiet_NaN()};
static constexpr Vector<const float> float32_vector() {
return ArrayVector(float32_array);
static std::vector<float> float32_vector() {
static const float nan = std::numeric_limits<float>::quiet_NaN();
static const float kValues[] = {
-std::numeric_limits<float>::infinity(),
-2.70497e+38f,
-1.4698e+37f,
-1.22813e+35f,
-1.20555e+35f,
-1.34584e+34f,
-1.0079e+32f,
-6.49364e+26f,
-3.06077e+25f,
-1.46821e+25f,
-1.17658e+23f,
-1.9617e+22f,
-2.7357e+20f,
-9223372036854775808.0f, // INT64_MIN
-1.48708e+13f,
-1.89633e+12f,
-4.66622e+11f,
-2.22581e+11f,
-1.45381e+10f,
-2147483904.0f, // First float32 after INT32_MIN
-2147483648.0f, // INT32_MIN
-2147483520.0f, // Last float32 before INT32_MIN
-1.3956e+09f,
-1.32951e+09f,
-1.30721e+09f,
-1.19756e+09f,
-9.26822e+08f,
-6.35647e+08f,
-4.00037e+08f,
-1.81227e+08f,
-5.09256e+07f,
-964300.0f,
-192446.0f,
-28455.0f,
-27194.0f,
-26401.0f,
-20575.0f,
-17069.0f,
-9167.0f,
-960.178f,
-113.0f,
-62.0f,
-15.0f,
-7.0f,
-1.0f,
-0.0256635f,
-4.60374e-07f,
-3.63759e-10f,
-4.30175e-14f,
-5.27385e-15f,
-1.5707963267948966f,
-1.48084e-15f,
-2.220446049250313e-16f,
-1.05755e-19f,
-3.2995e-21f,
-1.67354e-23f,
-1.11885e-23f,
-1.78506e-30f,
-5.07594e-31f,
-3.65799e-31f,
-1.43718e-34f,
-1.27126e-38f,
-0.0f,
0.0f,
1.17549e-38f,
1.56657e-37f,
4.08512e-29f,
3.31357e-28f,
6.25073e-22f,
4.1723e-13f,
1.44343e-09f,
1.5707963267948966f,
5.27004e-08f,
9.48298e-08f,
5.57888e-07f,
4.89988e-05f,
0.244326f,
1.0f,
12.4895f,
19.0f,
47.0f,
106.0f,
538.324f,
564.536f,
819.124f,
7048.0f,
12611.0f,
19878.0f,
20309.0f,
797056.0f,
1.77219e+09f,
2147483648.0f, // INT32_MAX + 1
4294967296.0f, // UINT32_MAX + 1
1.51116e+11f,
4.18193e+13f,
3.59167e+16f,
9223372036854775808.0f, // INT64_MAX + 1
18446744073709551616.0f, // UINT64_MAX + 1
3.38211e+19f,
2.67488e+20f,
1.78831e+21f,
9.20914e+21f,
8.35654e+23f,
1.4495e+24f,
5.94015e+25f,
4.43608e+30f,
2.44502e+33f,
2.61152e+33f,
1.38178e+37f,
1.71306e+37f,
3.31899e+38f,
3.40282e+38f,
std::numeric_limits<float>::infinity(),
nan,
-nan,
};
return std::vector<float>(&kValues[0], &kValues[arraysize(kValues)]);
}
static constexpr double float64_array[] = {
-2e66,
-2.220446049250313e-16,
-9223373136366403584.0,
-9223372036854775808.0, // INT64_MIN
-2147483649.5,
-2147483648.25,
-2147483648.0,
-2147483647.875,
-2147483647.125,
-2147483647.0,
-999.75,
-2e66,
-1.75,
-1.5707963267948966,
-1.0,
-0.5,
-0.0,
0.0,
3e-88,
0.125,
0.25,
0.375,
0.5,
1.0,
1.17549e-38,
1.56657e-37,
1.0000001,
1.25,
1.5707963267948966,
2,
3.1e7,
5.125,
6.25,
888,
982983.25,
2147483647.0,
2147483647.375,
2147483647.75,
2147483648.0,
2147483648.25,
2147483649.25,
9223372036854775808.0, // INT64_MAX + 1
9223373136366403584.0,
18446744073709551616.0, // UINT64_MAX + 1
2e66,
V8_INFINITY,
-V8_INFINITY,
std::numeric_limits<double>::quiet_NaN(),
-std::numeric_limits<double>::quiet_NaN()};
static constexpr Vector<const double> float64_vector() {
return ArrayVector(float64_array);
static std::vector<double> float64_vector() {
static const double nan = std::numeric_limits<double>::quiet_NaN();
static const double values[] = {-2e66,
-2.220446049250313e-16,
-9223373136366403584.0,
-9223372036854775808.0, // INT64_MIN
-2147483649.5,
-2147483648.25,
-2147483648.0,
-2147483647.875,
-2147483647.125,
-2147483647.0,
-999.75,
-2e66,
-1.75,
-1.5707963267948966,
-1.0,
-0.5,
-0.0,
0.0,
3e-88,
0.125,
0.25,
0.375,
0.5,
1.0,
1.17549e-38,
1.56657e-37,
1.0000001,
1.25,
1.5707963267948966,
2,
3.1e7,
5.125,
6.25,
888,
982983.25,
2147483647.0,
2147483647.375,
2147483647.75,
2147483648.0,
2147483648.25,
2147483649.25,
9223372036854775808.0, // INT64_MAX + 1
9223373136366403584.0,
18446744073709551616.0, // UINT64_MAX + 1
2e66,
V8_INFINITY,
-V8_INFINITY,
-nan,
nan};
return std::vector<double>(&values[0], &values[arraysize(values)]);
}
static constexpr uint32_t uint32_array[] = {
0x00000000, 0x00000001, 0xffffffff, 0x1b09788b, 0x04c5fce8, 0xcc0de5bf,
// This row is useful for testing lea optimizations on intel.
0x00000002, 0x00000003, 0x00000004, 0x00000005, 0x00000008, 0x00000009,
0x273a798e, 0x187937a3, 0xece3af83, 0x5495a16b, 0x0b668ecc, 0x11223344,
0x0000009e, 0x00000043, 0x0000af73, 0x0000116b, 0x00658ecc, 0x002b3b4c,
0x88776655, 0x70000000, 0x07200000, 0x7fffffff, 0x56123761, 0x7fffff00,
0x761c4761, 0x80000000, 0x88888888, 0xa0000000, 0xdddddddd, 0xe0000000,
0xeeeeeeee, 0xfffffffd, 0xf0000000, 0x007fffff, 0x003fffff, 0x001fffff,
0x000fffff, 0x0007ffff, 0x0003ffff, 0x0001ffff, 0x0000ffff, 0x00007fff,
0x00003fff, 0x00001fff, 0x00000fff, 0x000007ff, 0x000003ff, 0x000001ff};
static constexpr Vector<const uint32_t> uint32_vector() {
return ArrayVector(uint32_array);
static const std::vector<int32_t> int32_vector() {
std::vector<uint32_t> values = uint32_vector();
return std::vector<int32_t>(values.begin(), values.end());
}
static constexpr Vector<const int32_t> int32_vector() {
return Vector<const int32_t>::cast(uint32_vector());
static const std::vector<uint32_t> uint32_vector() {
static const uint32_t kValues[] = {
0x00000000, 0x00000001, 0xffffffff, 0x1b09788b, 0x04c5fce8, 0xcc0de5bf,
// This row is useful for testing lea optimizations on intel.
0x00000002, 0x00000003, 0x00000004, 0x00000005, 0x00000008, 0x00000009,
0x273a798e, 0x187937a3, 0xece3af83, 0x5495a16b, 0x0b668ecc, 0x11223344,
0x0000009e, 0x00000043, 0x0000af73, 0x0000116b, 0x00658ecc, 0x002b3b4c,
0x88776655, 0x70000000, 0x07200000, 0x7fffffff, 0x56123761, 0x7fffff00,
0x761c4761, 0x80000000, 0x88888888, 0xa0000000, 0xdddddddd, 0xe0000000,
0xeeeeeeee, 0xfffffffd, 0xf0000000, 0x007fffff, 0x003fffff, 0x001fffff,
0x000fffff, 0x0007ffff, 0x0003ffff, 0x0001ffff, 0x0000ffff, 0x00007fff,
0x00003fff, 0x00001fff, 0x00000fff, 0x000007ff, 0x000003ff, 0x000001ff};
return std::vector<uint32_t>(&kValues[0], &kValues[arraysize(kValues)]);
}
static constexpr uint64_t uint64_array[] = {
0x00000000, 0x00000001, 0xffffffff,
0x1b09788b, 0x04c5fce8, 0xcc0de5bf,
0x00000002, 0x00000003, 0x00000004,
0x00000005, 0x00000008, 0x00000009,
0xffffffffffffffff, 0xfffffffffffffffe, 0xfffffffffffffffd,
0x0000000000000000, 0x0000000100000000, 0xffffffff00000000,
0x1b09788b00000000, 0x04c5fce800000000, 0xcc0de5bf00000000,
0x0000000200000000, 0x0000000300000000, 0x0000000400000000,
0x0000000500000000, 0x0000000800000000, 0x0000000900000000,
0x273a798e187937a3, 0xece3af835495a16b, 0x0b668ecc11223344,
0x0000009e, 0x00000043, 0x0000af73,
0x0000116b, 0x00658ecc, 0x002b3b4c,
0x88776655, 0x70000000, 0x07200000,
0x7fffffff, 0x56123761, 0x7fffff00,
0x761c4761eeeeeeee, 0x80000000eeeeeeee, 0x88888888dddddddd,
0xa0000000dddddddd, 0xddddddddaaaaaaaa, 0xe0000000aaaaaaaa,
0xeeeeeeeeeeeeeeee, 0xfffffffdeeeeeeee, 0xf0000000dddddddd,
0x007fffffdddddddd, 0x003fffffaaaaaaaa, 0x001fffffaaaaaaaa,
0x000fffff, 0x0007ffff, 0x0003ffff,
0x0001ffff, 0x0000ffff, 0x00007fff,
0x00003fff, 0x00001fff, 0x00000fff,
0x000007ff, 0x000003ff, 0x000001ff,
0x00003fffffffffff, 0x00001fffffffffff, 0x00000fffffffffff,
0x000007ffffffffff, 0x000003ffffffffff, 0x000001ffffffffff,
0x8000008000000000, 0x8000008000000001, 0x8000000000000400,
0x8000000000000401, 0x0000000000000020};
static constexpr Vector<const uint64_t> uint64_vector() {
return ArrayVector(uint64_array);
static const std::vector<int64_t> int64_vector() {
std::vector<uint64_t> values = uint64_vector();
return std::vector<int64_t>(values.begin(), values.end());
}
static constexpr Vector<const int64_t> int64_vector() {
return Vector<const int64_t>::cast(uint64_vector());
static const std::vector<uint64_t> uint64_vector() {
static const uint64_t kValues[] = {
0x00000000, 0x00000001, 0xffffffff,
0x1b09788b, 0x04c5fce8, 0xcc0de5bf,
0x00000002, 0x00000003, 0x00000004,
0x00000005, 0x00000008, 0x00000009,
0xffffffffffffffff, 0xfffffffffffffffe, 0xfffffffffffffffd,
0x0000000000000000, 0x0000000100000000, 0xffffffff00000000,
0x1b09788b00000000, 0x04c5fce800000000, 0xcc0de5bf00000000,
0x0000000200000000, 0x0000000300000000, 0x0000000400000000,
0x0000000500000000, 0x0000000800000000, 0x0000000900000000,
0x273a798e187937a3, 0xece3af835495a16b, 0x0b668ecc11223344,
0x0000009e, 0x00000043, 0x0000af73,
0x0000116b, 0x00658ecc, 0x002b3b4c,
0x88776655, 0x70000000, 0x07200000,
0x7fffffff, 0x56123761, 0x7fffff00,
0x761c4761eeeeeeee, 0x80000000eeeeeeee, 0x88888888dddddddd,
0xa0000000dddddddd, 0xddddddddaaaaaaaa, 0xe0000000aaaaaaaa,
0xeeeeeeeeeeeeeeee, 0xfffffffdeeeeeeee, 0xf0000000dddddddd,
0x007fffffdddddddd, 0x003fffffaaaaaaaa, 0x001fffffaaaaaaaa,
0x000fffff, 0x0007ffff, 0x0003ffff,
0x0001ffff, 0x0000ffff, 0x00007fff,
0x00003fff, 0x00001fff, 0x00000fff,
0x000007ff, 0x000003ff, 0x000001ff,
0x00003fffffffffff, 0x00001fffffffffff, 0x00000fffffffffff,
0x000007ffffffffff, 0x000003ffffffffff, 0x000001ffffffffff,
0x8000008000000000, 0x8000008000000001, 0x8000000000000400,
0x8000000000000401, 0x0000000000000020};
return std::vector<uint64_t>(&kValues[0], &kValues[arraysize(kValues)]);
}
static constexpr int16_t int16_array[] = {
0, 1, 2, INT16_MAX - 1, INT16_MAX, INT16_MIN, INT16_MIN + 1, -2, -1};
static constexpr Vector<const int16_t> int16_vector() {
return ArrayVector(int16_array);
static const std::vector<double> nan_vector(size_t limit = 0) {
static const double nan = std::numeric_limits<double>::quiet_NaN();
static const double values[] = {-nan, -V8_INFINITY * -0.0,
-V8_INFINITY * 0.0, V8_INFINITY * -0.0,
V8_INFINITY * 0.0, nan};
return std::vector<double>(&values[0], &values[arraysize(values)]);
}
static constexpr Vector<const uint16_t> uint16_vector() {
return Vector<const uint16_t>::cast(int16_vector());
static const std::vector<int16_t> int16_vector() {
static const int16_t kValues[] = {
0, 1, 2, INT16_MAX - 1, INT16_MAX, INT16_MIN, INT16_MIN + 1, -2, -1};
return std::vector<int16_t>(&kValues[0], &kValues[arraysize(kValues)]);
}
static constexpr int8_t int8_array[] = {
0, 1, 2, INT8_MAX - 1, INT8_MAX, INT8_MIN, INT8_MIN + 1, -2, -1};
static constexpr Vector<const int8_t> int8_vector() {
return ArrayVector(int8_array);
static const std::vector<uint16_t> uint16_vector() {
std::vector<int16_t> values = int16_vector();
return std::vector<uint16_t>(values.begin(), values.end());
}
static constexpr Vector<const uint8_t> uint8_vector() {
return Vector<const uint8_t>::cast(ArrayVector(int8_array));
static const std::vector<int8_t> int8_vector() {
static const int8_t kValues[] = {
0, 1, 2, INT8_MAX - 1, INT8_MAX, INT8_MIN, INT8_MIN + 1, -2, -1};
return std::vector<int8_t>(&kValues[0], &kValues[arraysize(kValues)]);
}
static constexpr uint32_t ror_array[31] = {
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31};
static const std::vector<uint8_t> uint8_vector() {
std::vector<int8_t> values = int8_vector();
return std::vector<uint8_t>(values.begin(), values.end());
}
static constexpr Vector<const uint32_t> ror_vector() {
return ArrayVector(ror_array);
static const std::vector<uint32_t> ror_vector() {
static const uint32_t kValues[31] = {
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31};
return std::vector<uint32_t>(&kValues[0], &kValues[arraysize(kValues)]);
}
};
// Helper macros that can be used in FOR_INT32_INPUTS(i) { ... *i ... }
// Watch out, these macros aren't hygenic; they pollute your scope. Thanks STL.
#define FOR_INPUTS(ctype, itype, var) \
Vector<const ctype> var##_vec = \
::v8::internal::compiler::ValueHelper::itype##_vector(); \
for (Vector<const ctype>::iterator var = var##_vec.begin(), \
var##_end = var##_vec.end(); \
var != var##_end; ++var)
#define FOR_INPUTS(ctype, itype, var) \
std::vector<ctype> var##_vec = \
::v8::internal::compiler::ValueHelper::itype##_vector(); \
for (std::vector<ctype>::iterator var = var##_vec.begin(); \
var != var##_vec.end(); ++var)
#define FOR_INT32_INPUTS(var) FOR_INPUTS(int32_t, int32, var)
#define FOR_UINT32_INPUTS(var) FOR_INPUTS(uint32_t, uint32, var)
......
......@@ -100,7 +100,8 @@ TEST(TestCWasmEntryArgPassing_int32) {
WASM_I32_ADD(WASM_I32_MUL(WASM_I32V_1(2), WASM_GET_LOCAL(0)), WASM_ONE)},
[](int32_t a) { return 2 * a + 1; });
FOR_INT32_INPUTS(v) { tester.CheckCall(*v); }
std::vector<int32_t> test_values = compiler::ValueHelper::int32_vector();
for (int32_t v : test_values) tester.CheckCall(v);
}
// Pass int64_t, return double.
......@@ -110,7 +111,10 @@ TEST(TestCWasmEntryArgPassing_double_int64) {
WASM_F64_SCONVERT_I64(WASM_GET_LOCAL(0))},
[](int64_t a) { return static_cast<double>(a); });
FOR_INT64_INPUTS(v) { tester.CheckCall(*v); }
std::vector<int64_t> test_values_i64 = compiler::ValueHelper::int64_vector();
for (int64_t v : test_values_i64) {
tester.CheckCall(v);
}
}
// Pass double, return int64_t.
......@@ -120,7 +124,9 @@ TEST(TestCWasmEntryArgPassing_int64_double) {
WASM_I64_SCONVERT_F64(WASM_GET_LOCAL(0))},
[](double d) { return static_cast<int64_t>(d); });
FOR_INT64_INPUTS(i) { tester.CheckCall(*i); }
for (int64_t i : compiler::ValueHelper::int64_vector()) {
tester.CheckCall(i);
}
}
// Pass float, return double.
......@@ -132,7 +138,8 @@ TEST(TestCWasmEntryArgPassing_float_double) {
WASM_F64(1))},
[](float f) { return 2. * static_cast<double>(f) + 1.; });
FOR_FLOAT32_INPUTS(f) { tester.CheckCall(*f); }
std::vector<float> test_values = compiler::ValueHelper::float32_vector();
for (float f : test_values) tester.CheckCall(f);
}
// Pass two doubles, return double.
......@@ -142,8 +149,11 @@ TEST(TestCWasmEntryArgPassing_double_double) {
WASM_F64_ADD(WASM_GET_LOCAL(0), WASM_GET_LOCAL(1))},
[](double a, double b) { return a + b; });
FOR_FLOAT64_INPUTS(d1) {
FOR_FLOAT64_INPUTS(d2) { tester.CheckCall(*d1, *d2); }
std::vector<double> test_values = compiler::ValueHelper::float64_vector();
for (double d1 : test_values) {
for (double d2 : test_values) {
tester.CheckCall(d1, d2);
}
}
}
......@@ -166,11 +176,10 @@ TEST(TestCWasmEntryArgPassing_AllTypes) {
return 0. + a + b + c + d;
});
Vector<const int32_t> test_values_i32 = compiler::ValueHelper::int32_vector();
Vector<const int64_t> test_values_i64 = compiler::ValueHelper::int64_vector();
Vector<const float> test_values_f32 = compiler::ValueHelper::float32_vector();
Vector<const double> test_values_f64 =
compiler::ValueHelper::float64_vector();
std::vector<int32_t> test_values_i32 = compiler::ValueHelper::int32_vector();
std::vector<int64_t> test_values_i64 = compiler::ValueHelper::int64_vector();
std::vector<float> test_values_f32 = compiler::ValueHelper::float32_vector();
std::vector<double> test_values_f64 = compiler::ValueHelper::float64_vector();
size_t max_len =
std::max(std::max(test_values_i32.size(), test_values_i64.size()),
std::max(test_values_f32.size(), test_values_f64.size()));
......
......@@ -101,7 +101,8 @@ TEST(TestArgumentPassing_int32) {
WASM_GET_LOCAL(0), WASM_CALL_FUNCTION0(f2.function_index())},
[](int32_t a) { return 2 * a + 1; });
FOR_INT32_INPUTS(v) { helper.CheckCall(*v); }
std::vector<int32_t> test_values = compiler::ValueHelper::int32_vector();
for (int32_t v : test_values) helper.CheckCall(v);
}
// Pass int64_t, return double.
......@@ -124,13 +125,17 @@ TEST(TestArgumentPassing_double_int64) {
return static_cast<double>(a64 | b64);
});
FOR_INT32_INPUTS(v1) {
FOR_INT32_INPUTS(v2) { helper.CheckCall(*v1, *v2); }
std::vector<int32_t> test_values_i32 = compiler::ValueHelper::int32_vector();
for (int32_t v1 : test_values_i32) {
for (int32_t v2 : test_values_i32) {
helper.CheckCall(v1, v2);
}
}
FOR_INT64_INPUTS(v) {
int32_t v1 = static_cast<int32_t>(*v);
int32_t v2 = static_cast<int32_t>(*v >> 32);
std::vector<int64_t> test_values_i64 = compiler::ValueHelper::int64_vector();
for (int64_t v : test_values_i64) {
int32_t v1 = static_cast<int32_t>(v);
int32_t v2 = static_cast<int32_t>(v >> 32);
helper.CheckCall(v1, v2);
helper.CheckCall(v2, v1);
}
......@@ -171,7 +176,8 @@ TEST(TestArgumentPassing_float_double) {
WASM_GET_LOCAL(0), WASM_CALL_FUNCTION0(f2.function_index())},
[](float f) { return 2. * static_cast<double>(f) + 1.; });
FOR_FLOAT32_INPUTS(f) { helper.CheckCall(*f); }
std::vector<float> test_values = compiler::ValueHelper::float32_vector();
for (float f : test_values) helper.CheckCall(f);
}
// Pass two doubles, return double.
......@@ -187,8 +193,11 @@ TEST(TestArgumentPassing_double_double) {
WASM_CALL_FUNCTION0(f2.function_index())},
[](double a, double b) { return a + b; });
FOR_FLOAT64_INPUTS(d1) {
FOR_FLOAT64_INPUTS(d2) { helper.CheckCall(*d1, *d2); }
std::vector<double> test_values = compiler::ValueHelper::float64_vector();
for (double d1 : test_values) {
for (double d2 : test_values) {
helper.CheckCall(d1, d2);
}
}
}
......@@ -233,11 +242,10 @@ TEST(TestArgumentPassing_AllTypes) {
helper.CheckCall(a, b1, b0, c, d);
};
Vector<const int32_t> test_values_i32 = compiler::ValueHelper::int32_vector();
Vector<const int64_t> test_values_i64 = compiler::ValueHelper::int64_vector();
Vector<const float> test_values_f32 = compiler::ValueHelper::float32_vector();
Vector<const double> test_values_f64 =
compiler::ValueHelper::float64_vector();
std::vector<int32_t> test_values_i32 = compiler::ValueHelper::int32_vector();
std::vector<int64_t> test_values_i64 = compiler::ValueHelper::int64_vector();
std::vector<float> test_values_f32 = compiler::ValueHelper::float32_vector();
std::vector<double> test_values_f64 = compiler::ValueHelper::float64_vector();
size_t max_len =
std::max(std::max(test_values_i32.size(), test_values_i64.size()),
std::max(test_values_f32.size(), test_values_f64.size()));
......
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