v8/test/cctest/compiler/value-helper.h
Deepti Gandluri ac774a36a7 [wasm] Implement atomic add/sub operations.
- Decode logic for atomic operations
 - Implementations for I32AtomicAdd, I32AtomicAdd8U, I32AtomicAdd16U,
I32AtomicSub, I32AtomicSub8U, I32AtomicSub16U
 - cctest value helpers for Uint16/Uint8 types

R=binji@chromium.org, bbudge@chromium.org, bradnelson@chromium.org

BUG=v8:6532

Change-Id: I710ee8ef566c5e33866afdf5b47375c2ea6fdbe6
Reviewed-on: https://chromium-review.googlesource.com/595241
Reviewed-by: Bill Budge <bbudge@chromium.org>
Reviewed-by: Brad Nelson <bradnelson@chromium.org>
Reviewed-by: Ben Smith <binji@chromium.org>
Commit-Queue: Deepti Gandluri <gdeepti@chromium.org>
Cr-Commit-Position: refs/heads/master@{#47102}
2017-08-02 22:59:18 +00:00

391 lines
14 KiB
C++

// Copyright 2014 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.
#ifndef V8_CCTEST_COMPILER_VALUE_HELPER_H_
#define V8_CCTEST_COMPILER_VALUE_HELPER_H_
#include <stdint.h>
#include "src/compiler/common-operator.h"
#include "src/compiler/node.h"
#include "src/compiler/node-matchers.h"
#include "src/isolate.h"
#include "src/objects.h"
#include "test/cctest/cctest.h"
namespace v8 {
namespace internal {
namespace compiler {
// A collection of utilities related to numerical and heap values, including
// example input values of various types, including int32_t, uint32_t, double,
// etc.
class ValueHelper {
public:
Isolate* isolate_;
ValueHelper() : isolate_(CcTest::InitIsolateOnce()) {}
void CheckFloat64Constant(double expected, Node* node) {
CHECK_EQ(IrOpcode::kFloat64Constant, node->opcode());
CHECK_EQ(expected, OpParameter<double>(node));
}
void CheckNumberConstant(double expected, Node* node) {
CHECK_EQ(IrOpcode::kNumberConstant, node->opcode());
CHECK_EQ(expected, OpParameter<double>(node));
}
void CheckInt32Constant(int32_t expected, Node* node) {
CHECK_EQ(IrOpcode::kInt32Constant, node->opcode());
CHECK_EQ(expected, OpParameter<int32_t>(node));
}
void CheckUint32Constant(int32_t expected, Node* node) {
CHECK_EQ(IrOpcode::kInt32Constant, node->opcode());
CHECK_EQ(expected, OpParameter<int32_t>(node));
}
void CheckHeapConstant(HeapObject* expected, Node* node) {
CHECK_EQ(IrOpcode::kHeapConstant, node->opcode());
CHECK_EQ(expected, *OpParameter<Handle<HeapObject>>(node));
}
void CheckTrue(Node* node) {
CheckHeapConstant(isolate_->heap()->true_value(), node);
}
void CheckFalse(Node* node) {
CheckHeapConstant(isolate_->heap()->false_value(), node);
}
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 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 const std::vector<int32_t> int32_vector() {
std::vector<uint32_t> values = uint32_vector();
return std::vector<int32_t>(values.begin(), values.end());
}
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 const std::vector<int64_t> int64_vector() {
std::vector<uint64_t> values = uint64_vector();
return std::vector<int64_t>(values.begin(), values.end());
}
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 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 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 const std::vector<uint16_t> uint16_vector() {
std::vector<int16_t> values = int16_vector();
return std::vector<uint16_t>(values.begin(), values.end());
}
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 const std::vector<uint8_t> uint8_vector() {
std::vector<int8_t> values = int8_vector();
return std::vector<uint8_t>(values.begin(), values.end());
}
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) \
std::vector<ctype> var##_vec = 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)
#define FOR_INT16_INPUTS(var) FOR_INPUTS(int16_t, int16, var)
#define FOR_UINT16_INPUTS(var) FOR_INPUTS(uint16_t, uint16, var)
#define FOR_INT8_INPUTS(var) FOR_INPUTS(int8_t, int8, var)
#define FOR_UINT8_INPUTS(var) FOR_INPUTS(uint8_t, uint8, var)
#define FOR_INT64_INPUTS(var) FOR_INPUTS(int64_t, int64, var)
#define FOR_UINT64_INPUTS(var) FOR_INPUTS(uint64_t, uint64, var)
#define FOR_FLOAT32_INPUTS(var) FOR_INPUTS(float, float32, var)
#define FOR_FLOAT64_INPUTS(var) FOR_INPUTS(double, float64, var)
#define FOR_INT32_SHIFTS(var) for (int32_t var = 0; var < 32; var++)
#define FOR_UINT32_SHIFTS(var) for (uint32_t var = 0; var < 32; var++)
// TODO(bmeurer): Drop this crap once we switch to GTest/Gmock.
static inline void CheckFloatEq(volatile float x, volatile float y) {
if (std::isnan(x)) {
CHECK(std::isnan(y));
} else {
CHECK_EQ(x, y);
CHECK_EQ(std::signbit(x), std::signbit(y));
}
}
#define CHECK_FLOAT_EQ(lhs, rhs) \
do { \
volatile float tmp = lhs; \
CheckFloatEq(tmp, rhs); \
} while (0)
static inline void CheckDoubleEq(volatile double x, volatile double y) {
if (std::isnan(x)) {
CHECK(std::isnan(y));
} else {
CHECK_EQ(x, y);
CHECK_EQ(std::signbit(x), std::signbit(y));
}
}
#define CHECK_DOUBLE_EQ(lhs, rhs) \
do { \
volatile double tmp = lhs; \
CheckDoubleEq(tmp, rhs); \
} while (0)
} // namespace compiler
} // namespace internal
} // namespace v8
#endif // V8_CCTEST_COMPILER_VALUE_HELPER_H_