| 58 | } |
| 59 | |
| 60 | bool DecodeUnaryVariant(Variant* variant) { |
| 61 | CHECK_NOTNULL(variant); |
| 62 | if (variant->TypeName().empty()) { |
| 63 | VariantTensorDataProto* t = variant->get<VariantTensorDataProto>(); |
| 64 | if (t == nullptr || !t->metadata().empty() || !t->tensors().empty()) { |
| 65 | // Malformed variant. |
| 66 | return false; |
| 67 | } else { |
| 68 | // Serialization of an empty Variant. |
| 69 | variant->clear(); |
| 70 | return true; |
| 71 | } |
| 72 | } |
| 73 | UnaryVariantOpRegistry::VariantDecodeFn* decode_fn = |
| 74 | UnaryVariantOpRegistry::Global()->GetDecodeFn(variant->TypeName()); |
| 75 | if (decode_fn == nullptr) { |
| 76 | return false; |
| 77 | } |
| 78 | const string type_name = variant->TypeName(); |
| 79 | bool decoded = (*decode_fn)(variant); |
| 80 | if (!decoded) return false; |
| 81 | if (variant->TypeName() != type_name) { |
| 82 | LOG(ERROR) << "DecodeUnaryVariant: Variant type_name before decoding was: " |
| 83 | << type_name |
| 84 | << " but after decoding was: " << variant->TypeName() |
| 85 | << ". Treating this as a failure."; |
| 86 | return false; |
| 87 | } |
| 88 | return true; |
| 89 | } |
| 90 | |
| 91 | // Add some basic registrations for use by others, e.g., for testing. |
| 92 | |