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instruction.cc
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// Copyright 2021 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 <cstring>
#include <iostream>
#include <limits>
#include <sstream>
#include <type_traits>
#include "definitions.h"
#include "instruction.pb.h"
#include "random_generator.h"
#include "absl/strings/str_replace.h"
namespace automl_zero {
using ::std::abs; // NOLINT
using ::std::max; // NOLINT
using ::std::min; // NOLINT
using ::std::numeric_limits; // NOLINT
using ::std::ostringstream; // NOLINT
using ::std::round; // NOLINT
Instruction::Instruction()
: op_(NO_OP),
in1_(0),
in2_(0),
out_(0),
activation_data_(0.0),
float_data_0_(0.0),
float_data_1_(0.0),
float_data_2_(0.0) {}
Instruction::Instruction(const IntegerDataSetter& integer_data_setter)
: op_(NO_OP),
in1_(0),
in2_(0),
out_(0),
activation_data_(static_cast<double>(integer_data_setter.value_)),
float_data_0_(0.0),
float_data_1_(0.0),
float_data_2_(0.0) {}
Instruction::Instruction(const Op op, const AddressT in, const AddressT out)
: op_(op),
in1_(in),
in2_(0),
out_(out),
activation_data_(0.0),
float_data_0_(0.0),
float_data_1_(0.0),
float_data_2_(0.0) {}
Instruction::Instruction(
const Op op, const AddressT in1, const AddressT in2, const AddressT out)
: op_(op),
in1_(in1),
in2_(in2),
out_(out),
activation_data_(0.0),
float_data_0_(0.0),
float_data_1_(0.0),
float_data_2_(0.0) {}
Instruction::Instruction(
const Op op, const AddressT out,
const ActivationDataSetter& activation_data_setter)
: op_(op),
in1_(0),
in2_(0),
out_(out),
activation_data_(activation_data_setter.value_),
float_data_0_(0.0),
float_data_1_(0.0),
float_data_2_(0.0) {}
Instruction::Instruction(
const Op op, const AddressT out,
const IntegerDataSetter& integer_data_setter)
: op_(op),
in1_(0),
in2_(0),
out_(out),
activation_data_(static_cast<double>(integer_data_setter.value_)),
float_data_0_(0.0),
float_data_1_(0.0),
float_data_2_(0.0) {}
Instruction::Instruction(
const Op op, const AddressT out,
const FloatDataSetter& float_data_setter_0,
const FloatDataSetter& float_data_setter_1)
: op_(op),
in1_(0),
in2_(0),
out_(out),
activation_data_(0.0),
float_data_0_(float_data_setter_0.value_),
float_data_1_(float_data_setter_1.value_),
float_data_2_(0.0) {}
Instruction::Instruction(
const Op op, const AddressT out,
const FloatDataSetter& float_data_setter_0,
const FloatDataSetter& float_data_setter_1,
const FloatDataSetter& float_data_setter_2)
: op_(op),
in1_(0),
in2_(0),
out_(out),
activation_data_(0.0),
float_data_0_(float_data_setter_0.value_),
float_data_1_(float_data_setter_1.value_),
float_data_2_(float_data_setter_2.value_) {}
Instruction::Instruction(Op op, RandomGenerator* rand_gen) {
SetOpAndRandomizeParams(op, rand_gen);
}
Instruction::Instruction(
const Instruction& other, RandomGenerator* rand_gen)
: op_(other.op_),
in1_(other.in1_),
in2_(other.in2_),
out_(other.out_),
activation_data_(other.activation_data_),
float_data_0_(other.float_data_0_),
float_data_1_(other.float_data_1_),
float_data_2_(other.float_data_2_) {
AlterParam(rand_gen);
}
Instruction::Instruction(
const SerializedInstruction& serialized) {
Deserialize(serialized);
}
IntegerT Instruction::GetIntegerData() const {
const double rounded = round(activation_data_);
CHECK_GE(rounded, std::numeric_limits<IntegerT>::min());
CHECK_LE(rounded, std::numeric_limits<IntegerT>::max());
return static_cast<IntegerT>(rounded);
}
bool Instruction::operator==(const Instruction& other) const {
return op_ == other.op_ &&
in1_ == other.in1_ &&
in2_ == other.in2_ &&
out_ == other.out_ &&
abs(activation_data_ - other.activation_data_) <
kActivationDataTolerance &&
abs(float_data_0_ - other.float_data_0_) <
kFloatDataTolerance &&
abs(float_data_1_ - other.float_data_1_) <
kFloatDataTolerance &&
abs(float_data_2_ - other.float_data_2_) <
kFloatDataTolerance;
}
void Instruction::FillWithNoOp() {
op_ = NO_OP;
in1_ = 0;
in2_ = 0;
out_ = 0;
activation_data_ = 0.0;
float_data_0_ = 0.0;
float_data_1_ = 0.0;
float_data_2_ = 0.0;
}
void Instruction::SetOpAndRandomizeParams(
Op op, RandomGenerator* rand_gen) {
FillWithNoOp();
op_ = op;
switch (op_) {
case NO_OP:
return;
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:
RandomizeOut(rand_gen);
RandomizeData(rand_gen);
return;
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_RECIPROCAL_OP:
case SCALAR_BROADCAST_OP:
case VECTOR_ABS_OP:
case VECTOR_HEAVYSIDE_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_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:
RandomizeIn1(rand_gen);
RandomizeOut(rand_gen);
return;
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:
RandomizeIn1(rand_gen);
RandomizeIn2(rand_gen);
RandomizeOut(rand_gen);
return;
// Do not add default clause. All ops should be supported here.
}
}
void Instruction::AlterParam(
RandomGenerator* rand_gen) {
switch (op_) {
case NO_OP:
return;
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:
switch (rand_gen->Choice2()) {
case kChoice0of2:
RandomizeOut(rand_gen);
return;
case kChoice1of2:
AlterData(rand_gen);
return;
}
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_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 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:
switch (rand_gen->Choice2()) {
case kChoice0of2:
RandomizeIn1(rand_gen);
return;
case kChoice1of2:
RandomizeOut(rand_gen);
return;
}
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:
switch (rand_gen->Choice3()) {
case kChoice0of3:
RandomizeIn1(rand_gen);
return;
case kChoice1of3:
RandomizeIn2(rand_gen);
return;
case kChoice2of3:
RandomizeOut(rand_gen);
return;
}
// Do not add default clause. All ops should be supported here.
}
}
void Instruction::RandomizeIn1(RandomGenerator* rand_gen) {
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:
LOG(FATAL) << "Invalid op: " << static_cast<IntegerT>(op_) << std::endl;
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_RECIPROCAL_OP:
case SCALAR_BROADCAST_OP:
case SCALAR_VECTOR_PRODUCT_OP:
case SCALAR_MATRIX_PRODUCT_OP:
in1_ = rand_gen->ScalarInAddress();
return;
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:
in1_ = rand_gen->VectorInAddress();
return;
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:
in1_ = rand_gen->MatrixInAddress();
return;
// Do not add default clause. All ops should be supported here.
}
}
void Instruction::RandomizeIn2(RandomGenerator* rand_gen) {
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 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 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:
LOG(FATAL) << "Invalid op: " << static_cast<IntegerT>(op_) << std::endl;
case SCALAR_SUM_OP:
case SCALAR_DIFF_OP:
case SCALAR_PRODUCT_OP:
case SCALAR_DIVISION_OP:
case SCALAR_MIN_OP:
case SCALAR_MAX_OP:
in2_ = rand_gen->ScalarInAddress();
return;
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:
in2_ = rand_gen->VectorInAddress();
return;
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:
in2_ = rand_gen->MatrixInAddress();
return;
// Do not add default clause. All ops should be supported here.
}
}
void Instruction::RandomizeOut(RandomGenerator* rand_gen) {
switch (op_) {
case NO_OP:
LOG(FATAL) << "Invalid op: " << static_cast<IntegerT>(op_) << std::endl;
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 SCALAR_RECIPROCAL_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:
out_ = rand_gen->ScalarOutAddress();
return;
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:
out_ = rand_gen->VectorOutAddress();
return;
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:
out_ = rand_gen->MatrixOutAddress();
return;
// Do not add default clause. All ops should be supported here.
}
}
void Instruction::RandomizeData(RandomGenerator* rand_gen) {
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 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 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 MATRIX_ROW_ST_DEV_OP:
LOG(FATAL) << "Invalid op: " << static_cast<IntegerT>(op_) << std::endl;
case SCALAR_CONST_SET_OP: {
activation_data_ = rand_gen->UniformActivation(-1.0, 1.0);
return;
}
case VECTOR_CONST_SET_OP: {
// float_data_0_ represents the index. See FloatToIndex for more details.
float_data_0_ = rand_gen->UniformFloat(0.0, 1.0);
// float_data_1_ represents the value to store.
float_data_1_ = rand_gen->UniformFloat(-1.0, 1.0);
return;
}
case MATRIX_CONST_SET_OP: {
float_data_0_ = rand_gen->UniformFloat(0.0, 1.0);
float_data_1_ = rand_gen->UniformFloat(0.0, 1.0);
float_data_2_ = rand_gen->UniformFloat(-1.0, 1.0);
return;
}
case SCALAR_GAUSSIAN_SET_OP:
case VECTOR_GAUSSIAN_SET_OP:
case MATRIX_GAUSSIAN_SET_OP: {
float_data_0_ = rand_gen->UniformFloat(-1.0, 1.0); // Mean.
float_data_1_ = rand_gen->UniformFloat(0.0, 1.0); // St. dev.
return;
}
case SCALAR_UNIFORM_SET_OP:
case VECTOR_UNIFORM_SET_OP:
case MATRIX_UNIFORM_SET_OP: {
float_data_0_ = rand_gen->UniformFloat(-1.0, 1.0);
float_data_1_ = rand_gen->UniformFloat(-1.0, 1.0);
return;
}
// Do not add default clause. All ops should be supported here.
}
}
void Instruction::AlterData(RandomGenerator* rand_gen) {
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 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:
LOG(FATAL) << "Invalid op: " << static_cast<IntegerT>(op_) << std::endl;
case SCALAR_CONST_SET_OP: {
MutateActivationLogScaleOrFlip(rand_gen, &activation_data_);
return;
}
case VECTOR_CONST_SET_OP: {
switch (rand_gen->Choice2()) {
case kChoice0of2:
// Mutate index. See FloatToIndex for more details.
float_data_0_ = rand_gen->UniformFloat(0.0, 1.0);
break;
case kChoice1of2:
// Mutate value.
MutateFloatLogScaleOrFlip(rand_gen, &float_data_1_);
break;
}
return;
}
case MATRIX_CONST_SET_OP: {
switch (rand_gen->Choice3()) {
case kChoice0of3:
// Mutate first index.
float_data_0_ = rand_gen->UniformFloat(0.0, 1.0);
break;
case kChoice1of3:
// Mutate second index.
float_data_1_ = rand_gen->UniformFloat(0.0, 1.0);
break;
case kChoice2of3:
// Mutate value.
MutateFloatLogScaleOrFlip(rand_gen, &float_data_2_);
break;
}
return;
}
case SCALAR_GAUSSIAN_SET_OP:
case VECTOR_GAUSSIAN_SET_OP:
case MATRIX_GAUSSIAN_SET_OP: {
switch (rand_gen->Choice2()) {
case kChoice0of2:
// Mutate mean.
MutateFloatLogScaleOrFlip(rand_gen, &float_data_0_);
break;
case kChoice1of2:
// Mutate stdev.
MutateFloatLogScale(rand_gen, &float_data_1_);
break;
}
return;
}
case SCALAR_UNIFORM_SET_OP:
case VECTOR_UNIFORM_SET_OP:
case MATRIX_UNIFORM_SET_OP: {
float value0 = float_data_0_;
float value1 = float_data_1_;
switch (rand_gen->Choice2()) {
case kChoice0of2:
// Mutate low.
MutateFloatLogScaleOrFlip(rand_gen, &value0);
break;
case kChoice1of2:
// Mutate high.
MutateFloatLogScaleOrFlip(rand_gen, &value1);
break;
}
float_data_0_ = min(value0, value1);
float_data_1_ = max(value0, value1);
return;
}
// Do not add default clause. All ops should be supported here.
}
}
std::string Instruction::ToString() const {
ostringstream stream;
switch (op_) {
case NO_OP:
stream << " NoOp()" << std::endl;
break;
case SCALAR_SUM_OP:
stream << " s" << out_ << " = s" << in1_ << " + s" << in2_
<< std::endl;
break;
case SCALAR_DIFF_OP:
stream << " s" << out_ << " = s" << in1_ << " - s" << in2_
<< std::endl;
break;
case SCALAR_PRODUCT_OP:
stream << " s" << out_ << " = s" << in1_ << " * s" << in2_
<< std::endl;
break;
case SCALAR_DIVISION_OP:
stream << " s" << out_ << " = s" << in1_ << " / s" << in2_
<< std::endl;
break;
case SCALAR_MIN_OP:
stream << " s" << out_ << " = minimum(s" << in1_ << ", s" << in2_
<< ")" << std::endl;
break;
case SCALAR_MAX_OP:
stream << " s" << out_ << " = maximum(s" << in1_ << ", s" << in2_
<< ")" << std::endl;
break;
case SCALAR_ABS_OP:
stream << " s" << out_ << " = abs(s" << in1_ << ")" << std::endl;
break;
case SCALAR_HEAVYSIDE_OP:
stream << " s" << out_ << " = heaviside(s" << in1_ << ", 1.0)"
<< std::endl;
break;
case SCALAR_CONST_SET_OP: {
stream << " s" << out_ << " = " << activation_data_ << std::endl;
break;
}
case SCALAR_SIN_OP:
stream << " s" << out_ << " = sin(s" << in1_ << ")" << std::endl;
break;
case SCALAR_COS_OP:
stream << " s" << out_ << " = cos(s" << in1_ << ")" << std::endl;
break;
case SCALAR_TAN_OP:
stream << " s" << out_ << " = tan(s" << in1_ << ")" << std::endl;
break;
case SCALAR_ARCSIN_OP:
stream << " s" << out_ << " = arcsin(s" << in1_ << ")"
<< std::endl;
break;
case SCALAR_ARCCOS_OP:
stream << " s" << out_ << " = arccos(s" << in1_ << ")"
<< std::endl;
break;
case SCALAR_ARCTAN_OP:
stream << " s" << out_ << " = arctan(s" << in1_ << ")"
<< std::endl;
break;
case SCALAR_EXP_OP:
stream << " s" << out_ << " = exp(s" << in1_ << ")" << std::endl;
break;
case SCALAR_LOG_OP:
stream << " s" << out_ << " = log(s" << in1_ << ")" << std::endl;
break;
case SCALAR_RECIPROCAL_OP:
stream << " s" << out_ << " = 1 / s" << in1_ << std::endl;
break;
case SCALAR_BROADCAST_OP:
stream << " v" << out_ << " = bcast(s" << in1_ << ")"
<< std::endl;
break;
case VECTOR_RECIPROCAL_OP:
stream << " v" << out_ << " = 1 / v" << in1_ << std::endl;
break;
case MATRIX_RECIPROCAL_OP:
stream << " m" << out_ << " = 1 / m" << in1_ << std::endl;
break;
case MATRIX_ROW_NORM_OP:
stream << " v" << out_ << " = norm(m" << in1_ << ", axis=1)"
<< std::endl;
break;
case MATRIX_COLUMN_NORM_OP:
stream << " v" << out_ << " = norm(m" << in1_ << ", axis=0)"
<< std::endl;
break;
case VECTOR_COLUMN_BROADCAST_OP:
stream << " m" << out_ << " = bcast(v" << in1_ << ", axis=0)"
<< std::endl;
break;
case VECTOR_ROW_BROADCAST_OP:
stream << " m" << out_ << " = bcast(v" << in1_ << ", axis=1)"
<< std::endl;
break;
case VECTOR_SUM_OP:
stream << " v" << out_ << " = v" << in1_ << " + v" << in2_
<< std::endl;
break;
case VECTOR_DIFF_OP:
stream << " v" << out_ << " = v" << in1_ << " - v" << in2_
<< std::endl;
break;
case VECTOR_PRODUCT_OP:
stream << " v" << out_ << " = v" << in1_ << " * v" << in2_
<< std::endl;
break;
case VECTOR_DIVISION_OP:
stream << " v" << out_ << " = v" << in1_ << " / v" << in2_
<< std::endl;
break;
case VECTOR_MIN_OP:
stream << " v" << out_ << " = minimum(v" << in1_ << ", v" << in2_
<< ")" << std::endl;
break;
case VECTOR_MAX_OP:
stream << " v" << out_ << " = maximum(v" << in1_ << ", v" << in2_
<< ")" << std::endl;
break;
case VECTOR_ABS_OP:
stream << " v" << out_ << " = abs(v" << in1_ << ")" << std::endl;
break;
case VECTOR_HEAVYSIDE_OP:
stream << " v" << out_ << " = heaviside(v" << in1_ << ", 1.0)"
<< std::endl;
break;
case VECTOR_CONST_SET_OP: {
stream << " v" << out_ << "[" << float_data_0_ << "]"
<< " = " << float_data_1_ << std::endl;
break;
}
case MATRIX_SUM_OP:
stream << " m" << out_ << " = m" << in1_ << " + m" << in2_
<< std::endl;
break;
case MATRIX_DIFF_OP:
stream << " m" << out_ << " = m" << in1_ << " - m" << in2_
<< std::endl;
break;
case MATRIX_PRODUCT_OP:
stream << " m" << out_ << " = m" << in1_ << " * m" << in2_
<< std::endl;
break;
case MATRIX_DIVISION_OP:
stream << " m" << out_ << " = m" << in1_ << " / m" << in2_
<< std::endl;
break;
case MATRIX_MIN_OP:
stream << " m" << out_ << " = minimum(m" << in1_ << ", m" << in2_
<< ")" << std::endl;
break;
case MATRIX_MAX_OP:
stream << " m" << out_ << " = maximum(m" << in1_ << ", m" << in2_
<< ")" << std::endl;
break;
case MATRIX_ABS_OP:
stream << " m" << out_ << " = abs(m" << in1_ << ")" << std::endl;
break;
case MATRIX_HEAVYSIDE_OP:
stream << " m" << out_ << " = heaviside(m" << in1_ << ", 1.0)"
<< std::endl;
break;
case MATRIX_CONST_SET_OP: {
stream << " m" << out_
<< "[" << float_data_0_ << ", " << float_data_1_ << "]"
<< " = " << float_data_2_ << std::endl;
break;
}
case SCALAR_VECTOR_PRODUCT_OP:
stream << " v" << out_ << " = s" << in1_ << " * v" << in2_
<< std::endl;