| 267 | |
| 268 | template <typename T> |
| 269 | bool CompressRepeatedField(float min_compression_ratio, |
| 270 | const TensorShape& shape, TensorProto* tensor) { |
| 271 | using TypeHelper = internal::TensorProtoHelper<T>; |
| 272 | using FieldType = typename internal::TensorProtoHelper<T>::FieldType; |
| 273 | const int64 num_tensor_values = shape.num_elements(); |
| 274 | // Notice that for complex types the tensor is stored as an array of up to |
| 275 | // 2 * num_tensor_values real values (real and imaginary parts), possibly |
| 276 | // truncated. |
| 277 | const int64 num_proto_values = TypeHelper::NumValues(*tensor); |
| 278 | if (num_proto_values != num_tensor_values) { |
| 279 | // Already compressed or invalid. |
| 280 | return false; |
| 281 | } |
| 282 | const T last_value = TypeHelper::GetValue(num_proto_values - 1, *tensor); |
| 283 | int64 last_index = 0; |
| 284 | for (int64 i = num_proto_values - 2; i >= 0 && last_index == 0; --i) { |
| 285 | const T cur_value = TypeHelper::GetValue(i, *tensor); |
| 286 | if (PackedValuesNotEqual(cur_value, last_value)) { |
| 287 | last_index = i + 1; |
| 288 | } |
| 289 | } |
| 290 | const int64 num_truncated_proto_values = last_index + 1; |
| 291 | const int64 num_bytes_as_field = |
| 292 | num_truncated_proto_values * sizeof(FieldType); |
| 293 | const int64 num_bytes_as_tensor_content = num_tensor_values * sizeof(T); |
| 294 | const int64 num_bytes_before = num_proto_values * sizeof(FieldType); |
| 295 | if (std::min(num_bytes_as_field, num_bytes_as_tensor_content) > |
| 296 | static_cast<int64>(num_bytes_before / min_compression_ratio)) { |
| 297 | return false; |
| 298 | } |
| 299 | if (num_bytes_as_field <= num_bytes_as_tensor_content) { |
| 300 | TypeHelper::Truncate(num_truncated_proto_values, tensor); |
| 301 | } else { |
| 302 | gtl::InlinedVector<T, 64> tmp(num_tensor_values); |
| 303 | TypeHelper::CopyValues(tmp.begin(), *tensor); |
| 304 | TypeHelper::Truncate(0, tensor); |
| 305 | port::CopyFromArray(tensor->mutable_tensor_content(), |
| 306 | reinterpret_cast<const char*>(tmp.data()), |
| 307 | num_bytes_as_tensor_content); |
| 308 | } |
| 309 | return true; |
| 310 | } |
| 311 | |
| 312 | template <typename T> |
| 313 | bool CompressTensorProtoInPlaceImpl(int64 min_num_elements, |
nothing calls this directly
no test coverage detected