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PascalCase -> snake_case for consistency with the rest of the codebase.

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This commit is contained in:
Tomasz Sobczyk
2020-10-14 22:42:58 +02:00
committed by nodchip
parent 2398d34e87
commit 146a6b056e
37 changed files with 844 additions and 737 deletions
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26
src/nnue/layers/affine_transform.h
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@@ -47,36 +47,36 @@ namespace Eval::NNUE::Layers {
static constexpr IndexType kOutputDimensions = OutputDimensions;
static constexpr IndexType kPaddedInputDimensions =
CeilToMultiple<IndexType>(kInputDimensions, kMaxSimdWidth);
ceil_to_multiple<IndexType>(kInputDimensions, kMaxSimdWidth);
// Size of forward propagation buffer used in this layer
static constexpr std::size_t kSelfBufferSize =
CeilToMultiple(kOutputDimensions * sizeof(OutputType), kCacheLineSize);
ceil_to_multiple(kOutputDimensions * sizeof(OutputType), kCacheLineSize);
// Size of the forward propagation buffer used from the input layer to this layer
static constexpr std::size_t kBufferSize =
PreviousLayer::kBufferSize + kSelfBufferSize;
// Hash value embedded in the evaluation file
static constexpr std::uint32_t GetHashValue() {
static constexpr std::uint32_t get_hash_value() {
std::uint32_t hash_value = 0xCC03DAE4u;
hash_value += kOutputDimensions;
hash_value ^= PreviousLayer::GetHashValue() >> 1;
hash_value ^= PreviousLayer::GetHashValue() << 31;
hash_value ^= PreviousLayer::get_hash_value() >> 1;
hash_value ^= PreviousLayer::get_hash_value() << 31;
return hash_value;
}
// A string that represents the structure from the input layer to this layer
static std::string GetStructureString() {
static std::string get_structure_string() {
return "AffineTransform[" +
std::to_string(kOutputDimensions) + "<-" +
std::to_string(kInputDimensions) + "](" +
PreviousLayer::GetStructureString() + ")";
PreviousLayer::get_structure_string() + ")";
}
// Read network parameters
bool ReadParameters(std::istream& stream) {
if (!previous_layer_.ReadParameters(stream))
bool read_parameters(std::istream& stream) {
if (!previous_layer_.read_parameters(stream))
return false;
for (std::size_t i = 0; i < kOutputDimensions; ++i)
@@ -89,8 +89,8 @@ namespace Eval::NNUE::Layers {
}
// write parameters
bool WriteParameters(std::ostream& stream) const {
if (!previous_layer_.WriteParameters(stream))
bool write_parameters(std::ostream& stream) const {
if (!previous_layer_.write_parameters(stream))
return false;
stream.write(reinterpret_cast<const char*>(biases_),
@@ -104,10 +104,10 @@ namespace Eval::NNUE::Layers {
}
// Forward propagation
const OutputType* Propagate(
const OutputType* propagate(
const TransformedFeatureType* transformed_features, char* buffer) const {
const auto input = previous_layer_.Propagate(
const auto input = previous_layer_.propagate(
transformed_features, buffer + kSelfBufferSize);
const auto output = reinterpret_cast<OutputType*>(buffer);