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instruction_test.cc
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// Copyright 2024 The Google Research Authors.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "instruction.h"
#include <array>
#include <cstdint>
#include <random>
#include <type_traits>
#include <vector>
#include "gtest/gtest.h"
#include "absl/container/node_hash_set.h"
#include "definitions.h"
#include "instruction.pb.h"
#include "random_generator.h"
#include "test_util.h"
namespace automl_zero {
using ::std::abs; // NOLINT
using ::std::find; // NOLINT
using ::std::function; // NOLINT
using ::std::mt19937; // NOLINT
using ::std::round; // NOLINT
using ::std::vector; // NOLINT
using ::testing::Test;
constexpr double kTolerance = 0.0001;
// Must match the number of ops in the op enum in instruction.proto.
constexpr IntegerT kNumOps = 65;
enum DiffId : IntegerT {
kNoDifference = 0,
kDifferentOp = 1,
kDifferentIn1 = 2,
kDifferentIn2 = 3,
kDifferentOut = 4,
kDifferentActivationData = 5,
kDifferentFloatData0 = 7,
kDifferentFloatData1 = 8,
kDifferentFloatData2 = 9,
};
vector<Op> TestableOps() {
vector<Op> ops;
for (IntegerT op_id = 0; op_id < kNumOps; ++op_id) {
ops.push_back(static_cast<Op>(op_id));
}
return ops;
}
Instruction NoOpInstruction() {
Instruction instruction;
return instruction;
}
Instruction BlankInstruction(const Op op) {
Instruction instruction;
instruction.op_ = op;
return instruction;
}
Instruction SetOpAndRandomizeParams(
const Op op, RandomGenerator* rand_gen) {
Instruction instruction = NoOpInstruction();
instruction.SetOpAndRandomizeParams(op, rand_gen);
return instruction;
}
Instruction AlterParam(
const Instruction& instruction, RandomGenerator* rand_gen) {
Instruction modified_instruction = instruction;
modified_instruction.AlterParam(rand_gen);
return modified_instruction;
}
absl::node_hash_set<DiffId> Differences(
const Instruction& instr1, const Instruction& instr2) {
absl::node_hash_set<DiffId> differences;
if (instr1.op_ != instr2.op_) {
differences.insert(kDifferentOp);
}
if (instr1.in1_ != instr2.in1_) {
differences.insert(kDifferentIn1);
}
if (instr1.in2_ != instr2.in2_) {
differences.insert(kDifferentIn2);
}
if (instr1.out_ != instr2.out_) {
differences.insert(kDifferentOut);
}
if (abs(instr1.GetActivationData() - instr2.GetActivationData()) >
kActivationDataTolerance) {
differences.insert(kDifferentActivationData);
}
if (abs(instr1.GetFloatData0() - instr2.GetFloatData0()) >
kFloatDataTolerance) {
differences.insert(kDifferentFloatData0);
}
if (abs(instr1.GetFloatData1() - instr2.GetFloatData1()) >
kFloatDataTolerance) {
differences.insert(kDifferentFloatData1);
}
if (abs(instr1.GetFloatData2() - instr2.GetFloatData2()) >
kFloatDataTolerance) {
differences.insert(kDifferentFloatData2);
}
return differences;
}
DiffId RandomDifference(
const Instruction& instr1, const Instruction& instr2) {
RandomGenerator rand_gen;
const absl::node_hash_set<DiffId> differences = Differences(instr1, instr2);
if (differences.empty()) {
return kNoDifference;
}
vector<DiffId> differences_list(
differences.begin(), differences.end());
return differences_list[
rand_gen.UniformInteger(0, differences_list.size())];
}
IntegerT CountDifferences(
const Instruction& instr1, const Instruction& instr2) {
const absl::node_hash_set<DiffId> differences = Differences(instr1, instr2);
return differences.size();
}
AddressT RandomizeIn1(Op op, RandomGenerator* rand_gen) {
Instruction instr;
instr.op_ = op;
instr.RandomizeIn1(rand_gen);
CHECK_EQ(instr.in2_, 0);
CHECK_EQ(instr.out_, 0);
CHECK_EQ(instr.GetActivationData(), 0.0);
CHECK_EQ(instr.GetFloatData0(), 0.0);
CHECK_EQ(instr.GetFloatData1(), 0.0);
CHECK_EQ(instr.GetFloatData2(), 0.0);
return instr.in1_;
}
AddressT RandomizeIn2(Op op, RandomGenerator* rand_gen) {
Instruction instr;
instr.op_ = op;
instr.RandomizeIn2(rand_gen);
CHECK_EQ(instr.in1_, 0);
CHECK_EQ(instr.out_, 0);
CHECK_EQ(instr.GetActivationData(), 0.0);
CHECK_EQ(instr.GetFloatData0(), 0.0);
CHECK_EQ(instr.GetFloatData1(), 0.0);
CHECK_EQ(instr.GetFloatData2(), 0.0);
return instr.in2_;
}
AddressT RandomizeOut(Op op, RandomGenerator* rand_gen) {
Instruction instr;
instr.op_ = op;
instr.RandomizeOut(rand_gen);
CHECK_EQ(instr.in1_, 0);
CHECK_EQ(instr.in2_, 0);
CHECK_EQ(instr.GetActivationData(), 0.0);
CHECK_EQ(instr.GetFloatData0(), 0.0);
CHECK_EQ(instr.GetFloatData1(), 0.0);
CHECK_EQ(instr.GetFloatData2(), 0.0);
return instr.out_;
}
void RandomizeData(Op op, RandomGenerator* rand_gen, Instruction* instr) {
instr->FillWithNoOp();
instr->op_ = op;
instr->RandomizeData(rand_gen);
CHECK_EQ(instr->in1_, 0);
CHECK_EQ(instr->in2_, 0);
CHECK_EQ(instr->out_, 0);
}
TEST(FloatIndexConversion, RecoversIndex) {
EXPECT_EQ(FloatToIndex(IndexToFloat(0, 4), 4), 0);
EXPECT_EQ(FloatToIndex(IndexToFloat(1, 4), 4), 1);
EXPECT_EQ(FloatToIndex(IndexToFloat(2, 4), 4), 2);
EXPECT_EQ(FloatToIndex(IndexToFloat(3, 4), 4), 3);
EXPECT_EQ(FloatToIndex(IndexToFloat(11, 16), 16), 11);
}
TEST(InstructionTest, IsTriviallyCopyable) {
EXPECT_TRUE(std::is_trivially_copy_assignable<Instruction>::value);
EXPECT_TRUE(std::is_trivially_copy_constructible<Instruction>::value);
}
TEST(InstructionTest, InstructionIsSmall) {
EXPECT_LE(sizeof(Instruction), 48);
}
TEST(InstructionTest, Constructor_Default) {
Instruction instruction;
EXPECT_EQ(instruction.op_, NO_OP);
EXPECT_EQ(instruction.in1_, 0);
EXPECT_EQ(instruction.in2_, 0);
EXPECT_EQ(instruction.out_, 0);
EXPECT_EQ(instruction.GetActivationData(), 0.0);
EXPECT_EQ(instruction.GetFloatData0(), 0.0);
EXPECT_EQ(instruction.GetFloatData1(), 0.0);
EXPECT_EQ(instruction.GetFloatData2(), 0.0);
}
TEST(InstructionTest, Constructor_IntegerData) {
Instruction instruction(IntegerDataSetter(10));
EXPECT_EQ(instruction.op_, NO_OP);
EXPECT_EQ(instruction.in1_, 0);
EXPECT_EQ(instruction.in2_, 0);
EXPECT_EQ(instruction.out_, 0);
EXPECT_EQ(instruction.GetIntegerData(), 10);
EXPECT_EQ(instruction.GetFloatData0(), 0.0);
EXPECT_EQ(instruction.GetFloatData1(), 0.0);
EXPECT_EQ(instruction.GetFloatData2(), 0.0);
}
TEST(InstructionTest, Constructor_Op_Address_Address) {
Instruction instruction(SCALAR_ABS_OP, 10, 20);
EXPECT_EQ(instruction.op_, SCALAR_ABS_OP);
EXPECT_EQ(instruction.in1_, 10);
EXPECT_EQ(instruction.in2_, 0);
EXPECT_EQ(instruction.out_, 20);
EXPECT_EQ(instruction.GetActivationData(), 0.0);
EXPECT_EQ(instruction.GetFloatData0(), 0.0);
EXPECT_EQ(instruction.GetFloatData1(), 0.0);
EXPECT_EQ(instruction.GetFloatData2(), 0.0);
}
TEST(InstructionTest, Constructor_Op_Address_Address_Address) {
Instruction instruction(SCALAR_SUM_OP, 10, 20, 30);
EXPECT_EQ(instruction.op_, SCALAR_SUM_OP);
EXPECT_EQ(instruction.in1_, 10);
EXPECT_EQ(instruction.in2_, 20);
EXPECT_EQ(instruction.out_, 30);
EXPECT_EQ(instruction.GetActivationData(), 0.0);
EXPECT_EQ(instruction.GetFloatData0(), 0.0);
EXPECT_EQ(instruction.GetFloatData1(), 0.0);
EXPECT_EQ(instruction.GetFloatData2(), 0.0);
}
TEST(InstructionTest, Constructor_Op_Address_ActivationData) {
Instruction instruction(SCALAR_CONST_SET_OP, 10, ActivationDataSetter(2.2));
EXPECT_EQ(instruction.op_, SCALAR_CONST_SET_OP);
EXPECT_EQ(instruction.in1_, 0);
EXPECT_EQ(instruction.in2_, 0);
EXPECT_EQ(instruction.out_, 10);
EXPECT_LE(abs(instruction.GetActivationData() - 2.2),
kActivationDataTolerance);
EXPECT_EQ(instruction.GetFloatData0(), 0.0);
EXPECT_EQ(instruction.GetFloatData1(), 0.0);
EXPECT_EQ(instruction.GetFloatData2(), 0.0);
}
TEST(InstructionTest, Constructor_Op_Address_FloatData_FloatData) {
Instruction instruction(SCALAR_GAUSSIAN_SET_OP, 10,
FloatDataSetter(2.2), FloatDataSetter(3.3));
EXPECT_EQ(instruction.op_, SCALAR_GAUSSIAN_SET_OP);
EXPECT_EQ(instruction.in1_, 0);
EXPECT_EQ(instruction.in2_, 0);
EXPECT_EQ(instruction.out_, 10);
EXPECT_EQ(instruction.GetActivationData(), 0.0);
EXPECT_LE(abs(instruction.GetFloatData0() - 2.2),
kFloatDataTolerance);
EXPECT_LE(abs(instruction.GetFloatData1() - 3.3),
kFloatDataTolerance);
EXPECT_EQ(instruction.GetFloatData2(), 0.0);
}
TEST(InstructionTest,
ConstructorCanStoreIndex_Op_Address_FloatData_FloatData) {
Instruction instruction(
MATRIX_GAUSSIAN_SET_OP, 10,
FloatDataSetter(IndexToFloat(3, 4)),
FloatDataSetter(IndexToFloat(2, 4)));
EXPECT_EQ(instruction.op_, MATRIX_GAUSSIAN_SET_OP);
EXPECT_EQ(instruction.in1_, 0);
EXPECT_EQ(instruction.in2_, 0);
EXPECT_EQ(instruction.out_, 10);
EXPECT_EQ(instruction.GetActivationData(), 0.0);
EXPECT_LE(FloatToIndex(instruction.GetFloatData0(), 4), 3);
EXPECT_LE(FloatToIndex(instruction.GetFloatData1(), 4), 2);
EXPECT_EQ(instruction.GetFloatData2(), 0.0);
}
TEST(InstructionTest, Constructor_Op_Address_FloatData_FloatData_FloatData) {
Instruction instruction(
MATRIX_GAUSSIAN_SET_OP, 10, FloatDataSetter(2.2), FloatDataSetter(3.3),
FloatDataSetter(4.4));
EXPECT_EQ(instruction.op_, MATRIX_GAUSSIAN_SET_OP);
EXPECT_EQ(instruction.in1_, 0);
EXPECT_EQ(instruction.in2_, 0);
EXPECT_EQ(instruction.out_, 10);
EXPECT_EQ(instruction.GetActivationData(), 0.0);
EXPECT_LE(abs(instruction.GetFloatData0() - 2.2),
kFloatDataTolerance);
EXPECT_LE(abs(instruction.GetFloatData1() - 3.3),
kFloatDataTolerance);
EXPECT_LE(abs(instruction.GetFloatData2() - 4.4),
kFloatDataTolerance);
}
TEST(InstructionTest,
ConstructorCanStoreIndexes_Op_Address_FloatData_FloatData_FloatData) {
Instruction instruction(
MATRIX_GAUSSIAN_SET_OP, 10,
FloatDataSetter(IndexToFloat(1, 4)),
FloatDataSetter(IndexToFloat(0, 4)),
FloatDataSetter(IndexToFloat(4, 4)));
EXPECT_EQ(instruction.op_, MATRIX_GAUSSIAN_SET_OP);
EXPECT_EQ(instruction.in1_, 0);
EXPECT_EQ(instruction.in2_, 0);
EXPECT_EQ(instruction.out_, 10);
EXPECT_EQ(instruction.GetActivationData(), 0.0);
EXPECT_LE(FloatToIndex(instruction.GetFloatData0(), 4), 1);
EXPECT_LE(FloatToIndex(instruction.GetFloatData1(), 4), 0);
EXPECT_LE(FloatToIndex(instruction.GetFloatData2(), 4), 4);
}
TEST(InstructionTest, CopyConstructor) {
RandomGenerator rand_gen;
Instruction instruction1;
instruction1.SetOpAndRandomizeParams(SCALAR_SUM_OP, &rand_gen);
Instruction instruction2 = instruction1;
EXPECT_TRUE(instruction1 == instruction2);
}
TEST(InstructionTest, CopyAssignmentOperator) {
RandomGenerator rand_gen;
Instruction instruction1;
instruction1.SetOpAndRandomizeParams(SCALAR_SUM_OP, &rand_gen);
Instruction instruction2;
instruction2 = instruction1;
EXPECT_TRUE(instruction1 == instruction2);
}
TEST(InstructionTest, EqualsOperatorThroughSomeExamples) {
Instruction instruction(VECTOR_SUM_OP, 1, 2, 3);
Instruction instruction_same(VECTOR_SUM_OP, 1, 2, 3);
Instruction instruction_diff_op(SCALAR_DIFF_OP, 1, 2, 3);
Instruction instruction_diff_in1(VECTOR_SUM_OP, 2, 2, 3);
Instruction instruction_diff_in2(VECTOR_SUM_OP, 1, 0, 3);
Instruction instruction_diff_out(VECTOR_SUM_OP, 1, 2, 2);
EXPECT_TRUE(instruction == instruction_same);
EXPECT_TRUE(instruction != instruction_diff_op);
EXPECT_TRUE(instruction != instruction_diff_in1);
EXPECT_TRUE(instruction != instruction_diff_in2);
EXPECT_TRUE(instruction != instruction_diff_out);
}
TEST(InstructionTest, EqualsOperatorConsidersOp) {
vector<Op> ops = TestableOps();
for (IntegerT i = 0; i < ops.size(); ++i) {
Op op = ops[i];
Instruction instr1(op, 0, 0, 0);
Instruction instr2(op, 0, 0, 0);
EXPECT_TRUE(instr1 == instr2);
EXPECT_FALSE(instr1 != instr2);
}
for (IntegerT i = 0; i < ops.size(); ++i) {
for (IntegerT j = i + 1; j < ops.size(); ++j) {
Instruction instr1(ops[i], 0, 0, 0);
Instruction instr2(ops[j], 0, 0, 0);
EXPECT_FALSE(instr1 == instr2);
EXPECT_TRUE(instr1 != instr2);
}
}
}
TEST(InstructionTest, EqualsOperatorConsidersStuffOtherThanOp) {
RandomGenerator rand_gen;
for (Op op : TestableOps()) {
Instruction instr;
instr.SetOpAndRandomizeParams(op, &rand_gen);
Instruction same_instr(instr);
EXPECT_TRUE(instr == same_instr);
EXPECT_FALSE(instr != same_instr);
Instruction other_instr(instr);
other_instr.AlterParam(&rand_gen);
if (Differences(instr, other_instr).empty()) {
EXPECT_TRUE(instr == other_instr);
EXPECT_FALSE(instr != other_instr);
} else {
EXPECT_FALSE(instr == other_instr);
EXPECT_TRUE(instr != other_instr);
}
}
}
TEST(InstructionTest, RandomizesIn1) {
CHECK_GE(kMaxScalarAddresses, 4);
CHECK_GE(kMaxVectorAddresses, 3);
CHECK_GE(kMaxMatrixAddresses, 2);
RandomGenerator rand_gen;
const AddressT range_start = 0;
auto scalar_range = Range(range_start, kMaxScalarAddresses);
auto vector_range = Range(range_start, kMaxVectorAddresses);
auto matrix_range = Range(range_start, kMaxMatrixAddresses);
for (const Op op : TestableOps()) {
switch (op) {
case NO_OP:
case SCALAR_CONST_SET_OP:
case VECTOR_CONST_SET_OP:
case MATRIX_CONST_SET_OP:
case SCALAR_GAUSSIAN_SET_OP:
case VECTOR_GAUSSIAN_SET_OP:
case MATRIX_GAUSSIAN_SET_OP:
case SCALAR_UNIFORM_SET_OP:
case VECTOR_UNIFORM_SET_OP:
case MATRIX_UNIFORM_SET_OP:
EXPECT_DEATH({RandomizeIn1(op, &rand_gen);}, "Invalid op");
break;
case SCALAR_SUM_OP:
case SCALAR_DIFF_OP:
case SCALAR_PRODUCT_OP:
case SCALAR_DIVISION_OP:
case SCALAR_MIN_OP:
case SCALAR_MAX_OP:
case SCALAR_ABS_OP:
case SCALAR_HEAVYSIDE_OP:
case SCALAR_SIN_OP:
case SCALAR_COS_OP:
case SCALAR_TAN_OP:
case SCALAR_ARCSIN_OP:
case SCALAR_ARCCOS_OP:
case SCALAR_ARCTAN_OP:
case SCALAR_EXP_OP:
case SCALAR_LOG_OP:
case SCALAR_VECTOR_PRODUCT_OP:
case SCALAR_MATRIX_PRODUCT_OP:
case SCALAR_RECIPROCAL_OP:
case SCALAR_BROADCAST_OP:
EXPECT_TRUE(IsEventually(
function<AddressT(void)>([op, &rand_gen](){
return RandomizeIn1(op, &rand_gen);}),
scalar_range, scalar_range));
break;
case VECTOR_SUM_OP:
case VECTOR_DIFF_OP:
case VECTOR_PRODUCT_OP:
case VECTOR_DIVISION_OP:
case VECTOR_MIN_OP:
case VECTOR_MAX_OP:
case VECTOR_ABS_OP:
case VECTOR_HEAVYSIDE_OP:
case VECTOR_INNER_PRODUCT_OP:
case VECTOR_OUTER_PRODUCT_OP:
case VECTOR_NORM_OP:
case VECTOR_MEAN_OP:
case VECTOR_ST_DEV_OP:
case VECTOR_RECIPROCAL_OP:
case VECTOR_COLUMN_BROADCAST_OP:
case VECTOR_ROW_BROADCAST_OP:
EXPECT_TRUE(IsEventually(
function<AddressT(void)>([op, &rand_gen](){
return RandomizeIn1(op, &rand_gen);}),
vector_range, vector_range));
break;
case MATRIX_SUM_OP:
case MATRIX_DIFF_OP:
case MATRIX_PRODUCT_OP:
case MATRIX_DIVISION_OP:
case MATRIX_MIN_OP:
case MATRIX_MAX_OP:
case MATRIX_ABS_OP:
case MATRIX_HEAVYSIDE_OP:
case MATRIX_VECTOR_PRODUCT_OP:
case MATRIX_NORM_OP:
case MATRIX_TRANSPOSE_OP:
case MATRIX_MATRIX_PRODUCT_OP:
case MATRIX_MEAN_OP:
case MATRIX_ST_DEV_OP:
case MATRIX_ROW_MEAN_OP:
case MATRIX_ROW_ST_DEV_OP:
case MATRIX_RECIPROCAL_OP:
case MATRIX_ROW_NORM_OP:
case MATRIX_COLUMN_NORM_OP:
EXPECT_TRUE(IsEventually(
function<AddressT(void)>([op, &rand_gen](){
return RandomizeIn1(op, &rand_gen);}),
matrix_range, matrix_range));
break;
// Do not add default clause. All ops should be supported here.
}
}
}
TEST(InstructionTest, RandomizesIn2) {
CHECK_GE(kMaxScalarAddresses, 4);
CHECK_GE(kMaxVectorAddresses, 3);
CHECK_GE(kMaxMatrixAddresses, 2);
RandomGenerator rand_gen;
const AddressT range_start = 0;
auto scalar_range = Range(range_start, kMaxScalarAddresses);
auto vector_range = Range(range_start, kMaxVectorAddresses);
auto matrix_range = Range(range_start, kMaxMatrixAddresses);
for (const Op op : TestableOps()) {
switch (op) {
case NO_OP:
case SCALAR_ABS_OP:
case SCALAR_HEAVYSIDE_OP:
case SCALAR_CONST_SET_OP:
case SCALAR_SIN_OP:
case SCALAR_COS_OP:
case SCALAR_TAN_OP:
case SCALAR_ARCSIN_OP:
case SCALAR_ARCCOS_OP:
case SCALAR_ARCTAN_OP:
case SCALAR_EXP_OP:
case SCALAR_LOG_OP:
case VECTOR_ABS_OP:
case VECTOR_HEAVYSIDE_OP:
case VECTOR_CONST_SET_OP:
case MATRIX_ABS_OP:
case MATRIX_HEAVYSIDE_OP:
case MATRIX_CONST_SET_OP:
case VECTOR_NORM_OP:
case MATRIX_NORM_OP:
case MATRIX_TRANSPOSE_OP:
case VECTOR_MEAN_OP:
case VECTOR_ST_DEV_OP:
case MATRIX_MEAN_OP:
case MATRIX_ST_DEV_OP:
case MATRIX_ROW_MEAN_OP:
case MATRIX_ROW_ST_DEV_OP:
case SCALAR_GAUSSIAN_SET_OP:
case VECTOR_GAUSSIAN_SET_OP:
case MATRIX_GAUSSIAN_SET_OP:
case SCALAR_UNIFORM_SET_OP:
case VECTOR_UNIFORM_SET_OP:
case MATRIX_UNIFORM_SET_OP:
case SCALAR_RECIPROCAL_OP:
case SCALAR_BROADCAST_OP:
case VECTOR_RECIPROCAL_OP:
case MATRIX_RECIPROCAL_OP:
case MATRIX_ROW_NORM_OP:
case MATRIX_COLUMN_NORM_OP:
case VECTOR_COLUMN_BROADCAST_OP:
case VECTOR_ROW_BROADCAST_OP:
EXPECT_DEATH({RandomizeIn2(op, &rand_gen);}, "Invalid op");
break;
case SCALAR_SUM_OP:
case SCALAR_DIFF_OP:
case SCALAR_PRODUCT_OP:
case SCALAR_DIVISION_OP:
case SCALAR_MIN_OP:
case SCALAR_MAX_OP:
EXPECT_TRUE(IsEventually(
function<AddressT(void)>([op, &rand_gen](){
return RandomizeIn2(op, &rand_gen);}),
scalar_range, scalar_range));
break;
case VECTOR_SUM_OP:
case VECTOR_DIFF_OP:
case VECTOR_PRODUCT_OP:
case VECTOR_DIVISION_OP:
case VECTOR_MIN_OP:
case VECTOR_MAX_OP:
case SCALAR_VECTOR_PRODUCT_OP:
case VECTOR_INNER_PRODUCT_OP:
case VECTOR_OUTER_PRODUCT_OP:
case MATRIX_VECTOR_PRODUCT_OP:
EXPECT_TRUE(IsEventually(
function<AddressT(void)>([op, &rand_gen](){
return RandomizeIn2(op, &rand_gen);}),
vector_range, vector_range));
break;
case MATRIX_SUM_OP:
case MATRIX_DIFF_OP:
case MATRIX_PRODUCT_OP:
case MATRIX_DIVISION_OP:
case MATRIX_MIN_OP:
case MATRIX_MAX_OP:
case SCALAR_MATRIX_PRODUCT_OP:
case MATRIX_MATRIX_PRODUCT_OP:
EXPECT_TRUE(IsEventually(
function<AddressT(void)>([op, &rand_gen](){
return RandomizeIn2(op, &rand_gen);}),
matrix_range, matrix_range));
break;
// Do not add default clause. All ops should be supported here.
}
}
}
TEST(InstructionTest, RandomizesOut) {
CHECK_GE(kMaxScalarAddresses, 4);
CHECK_GE(kMaxVectorAddresses, 3);
CHECK_GE(kMaxMatrixAddresses, 2);
RandomGenerator rand_gen;
auto scalar_range =
Range(kFirstOutScalarAddress, kMaxScalarAddresses);
auto vector_range =
Range(kFirstOutVectorAddress, kMaxVectorAddresses);
auto matrix_range =
Range(kFirstOutMatrixAddress, kMaxMatrixAddresses);
for (const Op op : TestableOps()) {
switch (op) {
case NO_OP:
EXPECT_DEATH({RandomizeOut(op, &rand_gen);}, "Invalid op");
break;
case SCALAR_SUM_OP:
case SCALAR_DIFF_OP:
case SCALAR_PRODUCT_OP:
case SCALAR_DIVISION_OP:
case SCALAR_MIN_OP:
case SCALAR_MAX_OP:
case SCALAR_ABS_OP:
case SCALAR_HEAVYSIDE_OP:
case SCALAR_CONST_SET_OP:
case SCALAR_SIN_OP:
case SCALAR_COS_OP:
case SCALAR_TAN_OP:
case SCALAR_ARCSIN_OP:
case SCALAR_ARCCOS_OP:
case SCALAR_ARCTAN_OP:
case SCALAR_EXP_OP:
case SCALAR_LOG_OP:
case VECTOR_INNER_PRODUCT_OP:
case VECTOR_NORM_OP:
case MATRIX_NORM_OP:
case VECTOR_MEAN_OP:
case VECTOR_ST_DEV_OP:
case MATRIX_MEAN_OP:
case MATRIX_ST_DEV_OP:
case SCALAR_GAUSSIAN_SET_OP:
case SCALAR_UNIFORM_SET_OP:
case SCALAR_RECIPROCAL_OP:
EXPECT_TRUE(IsEventually(
function<AddressT(void)>([op, &rand_gen](){
return RandomizeOut(op, &rand_gen);}),
scalar_range, scalar_range));
break;
case VECTOR_SUM_OP:
case VECTOR_DIFF_OP:
case VECTOR_PRODUCT_OP:
case VECTOR_DIVISION_OP:
case VECTOR_MIN_OP:
case VECTOR_MAX_OP:
case VECTOR_ABS_OP:
case VECTOR_HEAVYSIDE_OP:
case VECTOR_CONST_SET_OP:
case SCALAR_VECTOR_PRODUCT_OP:
case MATRIX_VECTOR_PRODUCT_OP:
case MATRIX_ROW_MEAN_OP:
case MATRIX_ROW_ST_DEV_OP:
case VECTOR_GAUSSIAN_SET_OP:
case VECTOR_UNIFORM_SET_OP:
case SCALAR_BROADCAST_OP:
case VECTOR_RECIPROCAL_OP:
case MATRIX_ROW_NORM_OP:
case MATRIX_COLUMN_NORM_OP:
EXPECT_TRUE(IsEventually(
function<AddressT(void)>([op, &rand_gen](){
return RandomizeOut(op, &rand_gen);}),
vector_range, vector_range));
break;
case MATRIX_SUM_OP:
case MATRIX_DIFF_OP:
case MATRIX_PRODUCT_OP:
case MATRIX_DIVISION_OP:
case MATRIX_MIN_OP:
case MATRIX_MAX_OP:
case MATRIX_ABS_OP:
case MATRIX_HEAVYSIDE_OP:
case MATRIX_CONST_SET_OP:
case VECTOR_OUTER_PRODUCT_OP:
case SCALAR_MATRIX_PRODUCT_OP:
case MATRIX_TRANSPOSE_OP:
case MATRIX_MATRIX_PRODUCT_OP:
case MATRIX_GAUSSIAN_SET_OP:
case MATRIX_UNIFORM_SET_OP:
case MATRIX_RECIPROCAL_OP:
case VECTOR_COLUMN_BROADCAST_OP:
case VECTOR_ROW_BROADCAST_OP:
EXPECT_TRUE(IsEventually(
function<AddressT(void)>([op, &rand_gen](){
return RandomizeOut(op, &rand_gen);}),
matrix_range, matrix_range));
break;
// Do not add default clause. All ops should be supported here.
}
}
}
TEST(InstructionTest, RandomizesData) {
RandomGenerator rand_gen;
auto feature_index_range = Range(0, FeatureIndexT(4));
for (const Op op : TestableOps()) {
switch (op) {
case NO_OP:
case SCALAR_SUM_OP:
case SCALAR_DIFF_OP:
case SCALAR_PRODUCT_OP:
case SCALAR_DIVISION_OP:
case SCALAR_MIN_OP:
case SCALAR_MAX_OP:
case SCALAR_ABS_OP:
case SCALAR_HEAVYSIDE_OP:
case SCALAR_SIN_OP:
case SCALAR_COS_OP:
case SCALAR_TAN_OP:
case SCALAR_ARCSIN_OP:
case SCALAR_ARCCOS_OP:
case SCALAR_ARCTAN_OP:
case SCALAR_EXP_OP:
case SCALAR_LOG_OP:
case VECTOR_SUM_OP:
case VECTOR_DIFF_OP:
case VECTOR_PRODUCT_OP:
case VECTOR_DIVISION_OP:
case VECTOR_MIN_OP:
case VECTOR_MAX_OP:
case VECTOR_ABS_OP:
case VECTOR_HEAVYSIDE_OP:
case MATRIX_SUM_OP:
case MATRIX_DIFF_OP:
case MATRIX_PRODUCT_OP:
case MATRIX_DIVISION_OP:
case MATRIX_MIN_OP:
case MATRIX_MAX_OP:
case MATRIX_ABS_OP:
case MATRIX_HEAVYSIDE_OP:
case SCALAR_VECTOR_PRODUCT_OP:
case VECTOR_INNER_PRODUCT_OP:
case VECTOR_OUTER_PRODUCT_OP:
case SCALAR_MATRIX_PRODUCT_OP:
case MATRIX_VECTOR_PRODUCT_OP:
case VECTOR_NORM_OP:
case MATRIX_NORM_OP:
case MATRIX_TRANSPOSE_OP:
case MATRIX_MATRIX_PRODUCT_OP:
case VECTOR_MEAN_OP:
case VECTOR_ST_DEV_OP:
case MATRIX_MEAN_OP:
case MATRIX_ST_DEV_OP:
case MATRIX_ROW_MEAN_OP:
case SCALAR_RECIPROCAL_OP:
case SCALAR_BROADCAST_OP:
case VECTOR_RECIPROCAL_OP:
case MATRIX_RECIPROCAL_OP:
case MATRIX_ROW_NORM_OP:
case MATRIX_COLUMN_NORM_OP:
case VECTOR_COLUMN_BROADCAST_OP:
case VECTOR_ROW_BROADCAST_OP:
case MATRIX_ROW_ST_DEV_OP: {
Instruction instr;
EXPECT_DEATH({RandomizeData(op, &rand_gen, &instr);}, "Invalid op");
break;
}
case SCALAR_CONST_SET_OP: {
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([op, &rand_gen](){
Instruction instr;
RandomizeData(op, &rand_gen, &instr);
return static_cast<IntegerT>(
round(10.0 * instr.GetActivationData()));
}),
Range<IntegerT>(-100, 101), Range<IntegerT>(-10, 11)));
break;
}
case VECTOR_CONST_SET_OP: {
EXPECT_TRUE(IsEventually(
function<FeatureIndexT(void)>([op, &rand_gen](){
Instruction instr;
RandomizeData(op, &rand_gen, &instr);
return FloatToIndex(instr.GetFloatData0(), 4);
}),
feature_index_range, feature_index_range));
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([op, &rand_gen](){
Instruction instr;
RandomizeData(op, &rand_gen, &instr);
return static_cast<IntegerT>(
round(10.0 * instr.GetFloatData1()));
}),
Range<IntegerT>(-10, 11), Range<IntegerT>(-10, 11)));
break;
}
case MATRIX_CONST_SET_OP: {
EXPECT_TRUE(IsEventually(
function<FeatureIndexT(void)>([op, &rand_gen](){
Instruction instr;
RandomizeData(op, &rand_gen, &instr);
return FloatToIndex(instr.GetFloatData0(), 4);
}),
feature_index_range, feature_index_range));
EXPECT_TRUE(IsEventually(
function<FeatureIndexT(void)>([op, &rand_gen](){
Instruction instr;
RandomizeData(op, &rand_gen, &instr);
return FloatToIndex(instr.GetFloatData1(), 4);
}),
feature_index_range, feature_index_range));
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([op, &rand_gen](){
Instruction instr;
RandomizeData(op, &rand_gen, &instr);
return static_cast<IntegerT>(
round(10.0 * instr.GetFloatData2()));
}),
Range<IntegerT>(-10, 11), Range<IntegerT>(-10, 11)));
break;
}
case SCALAR_GAUSSIAN_SET_OP:
case VECTOR_GAUSSIAN_SET_OP:
case MATRIX_GAUSSIAN_SET_OP: {
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([op, &rand_gen](){
Instruction instr;
RandomizeData(op, &rand_gen, &instr);
return static_cast<IntegerT>(
round(10.0 * instr.GetFloatData0()));
}),
Range<IntegerT>(-10, 11), Range<IntegerT>(-10, 11)));
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([op, &rand_gen](){
Instruction instr;
RandomizeData(op, &rand_gen, &instr);
return static_cast<IntegerT>(
round(10.0 * instr.GetFloatData1()));
}),
Range<IntegerT>(0, 11), Range<IntegerT>(0, 11)));
break;
}
case SCALAR_UNIFORM_SET_OP:
case VECTOR_UNIFORM_SET_OP:
case MATRIX_UNIFORM_SET_OP: {
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([op, &rand_gen](){
Instruction instr;
RandomizeData(op, &rand_gen, &instr);
return static_cast<IntegerT>(
round(3.0 * instr.GetFloatData0()));
}),
Range<IntegerT>(-3, 4), Range<IntegerT>(-3, 4)));
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([op, &rand_gen](){
Instruction instr;
RandomizeData(op, &rand_gen, &instr);
return static_cast<IntegerT>(
round(3.0 * instr.GetFloatData1()));
}),
Range<IntegerT>(-3, 4), Range<IntegerT>(-3, 4)));
break;
}
// Do not add default clause. All ops should be supported here.
}
}
}
TEST(InstructionTest, RandomizesCorrectFields) {
RandomGenerator rand_gen;
for (const Op op : TestableOps()) {
Instruction blank_instr = BlankInstruction(op);
switch (op) {
case NO_OP:
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([&](){
return CountDifferences(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{0}, {0}));
EXPECT_TRUE(IsEventually(
function<DiffId(void)>([&](){
return RandomDifference(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{kNoDifference}, {kNoDifference}));
break;
case SCALAR_SUM_OP:
case SCALAR_DIFF_OP:
case SCALAR_PRODUCT_OP:
case SCALAR_DIVISION_OP:
case SCALAR_MIN_OP:
case SCALAR_MAX_OP:
case VECTOR_SUM_OP:
case VECTOR_DIFF_OP:
case VECTOR_PRODUCT_OP:
case VECTOR_DIVISION_OP:
case VECTOR_MIN_OP:
case VECTOR_MAX_OP:
case MATRIX_SUM_OP:
case MATRIX_DIFF_OP:
case MATRIX_PRODUCT_OP:
case MATRIX_DIVISION_OP:
case MATRIX_MIN_OP:
case MATRIX_MAX_OP:
case SCALAR_VECTOR_PRODUCT_OP:
case VECTOR_INNER_PRODUCT_OP:
case VECTOR_OUTER_PRODUCT_OP:
case SCALAR_MATRIX_PRODUCT_OP:
case MATRIX_VECTOR_PRODUCT_OP:
case MATRIX_MATRIX_PRODUCT_OP:
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([&](){
return CountDifferences(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{0, 1, 2, 3}, {3}));
EXPECT_TRUE(IsEventually(
function<DiffId(void)>([&](){
return RandomDifference(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{kNoDifference, kDifferentIn1, kDifferentIn2, kDifferentOut},
{kDifferentIn1, kDifferentIn2, kDifferentOut}));
break;
case SCALAR_ABS_OP:
case SCALAR_HEAVYSIDE_OP:
case SCALAR_SIN_OP:
case SCALAR_COS_OP:
case SCALAR_TAN_OP:
case SCALAR_ARCSIN_OP:
case SCALAR_ARCCOS_OP:
case SCALAR_ARCTAN_OP:
case SCALAR_EXP_OP:
case SCALAR_LOG_OP:
case VECTOR_ABS_OP:
case VECTOR_HEAVYSIDE_OP:
case MATRIX_ABS_OP:
case MATRIX_HEAVYSIDE_OP:
case VECTOR_NORM_OP:
case MATRIX_NORM_OP:
case MATRIX_TRANSPOSE_OP:
case VECTOR_MEAN_OP:
case VECTOR_ST_DEV_OP:
case MATRIX_MEAN_OP:
case MATRIX_ST_DEV_OP:
case MATRIX_ROW_MEAN_OP:
case MATRIX_ROW_ST_DEV_OP:
case SCALAR_RECIPROCAL_OP:
case SCALAR_BROADCAST_OP:
case VECTOR_RECIPROCAL_OP:
case MATRIX_RECIPROCAL_OP:
case MATRIX_ROW_NORM_OP:
case MATRIX_COLUMN_NORM_OP:
case VECTOR_COLUMN_BROADCAST_OP:
case VECTOR_ROW_BROADCAST_OP:
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([&](){
return CountDifferences(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{0, 1, 2}, {2}));
EXPECT_TRUE(IsEventually(
function<DiffId(void)>([&](){
return RandomDifference(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{kNoDifference, kDifferentIn1, kDifferentOut},
{kDifferentIn1, kDifferentOut}));
break;
case SCALAR_CONST_SET_OP:
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([&](){
return CountDifferences(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{0, 1, 2}, {2}));
EXPECT_TRUE(IsEventually(
function<DiffId(void)>([&](){
return RandomDifference(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{kNoDifference, kDifferentOut, kDifferentActivationData},
{kDifferentOut, kDifferentActivationData}));
break;
case VECTOR_CONST_SET_OP:
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([&](){
return CountDifferences(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{0, 1, 2, 3}, {3}));
EXPECT_TRUE(IsEventually(
function<DiffId(void)>([&](){
return RandomDifference(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{kNoDifference, kDifferentOut, kDifferentFloatData0,
kDifferentFloatData1},
{kDifferentOut, kDifferentFloatData0, kDifferentFloatData1}));
break;
case MATRIX_CONST_SET_OP:
EXPECT_TRUE(IsEventually(
function<IntegerT(void)>([&](){
return CountDifferences(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{0, 1, 2, 3, 4}, {4}));
EXPECT_TRUE(IsEventually(
function<DiffId(void)>([&](){
return RandomDifference(
blank_instr, SetOpAndRandomizeParams(op, &rand_gen));}),
{kNoDifference, kDifferentOut, kDifferentFloatData0,