Dictionary Trainer::RestoreFromCheckpoint(const std::wstring& modelFilePath)
{
// Restore the model's parameters
m_combinedTrainingFunction->Restore(modelFilePath);
Dictionary checkpoint = Dictionary::Load(GetTrainerStateCheckpointFilePath(modelFilePath));
size_t version = 0;
if (checkpoint.Contains(versionPropertyName))
version = checkpoint[versionPropertyName].Value<size_t>();
auto learnerState = checkpoint[learnersPropertyName].Value<std::vector<DictionaryValue>>();
auto externalState = checkpoint[externalStatePropertyName].Value<Dictionary>();
m_parameterLearners->RestoreFromCheckpoint(learnerState);
if (!m_distributed)
{
return externalState;
}
// this ensures that nobody will start writing to the model/checkpoint files, until
// everybody is done reading them.
DistributedCommunicatorPtr communicator = MPICommunicator();
communicator->Barrier();
auto mainWorkerId = std::to_wstring(0);
auto localWorkerId = std::to_wstring(communicator->CurrentWorker().m_globalRank);
// before version 1, there was no distributed state per se. Instead, the external state
// contained a dictionary of worker-specific external states.
if (version == 0)
{
auto key = externalState.Contains(localWorkerId) ? localWorkerId : mainWorkerId;
return externalState[key].Value<Dictionary>();
}
Dictionary distributedState = checkpoint[distributedStatePropertyName].Value<Dictionary>();
if (communicator->CurrentWorker().IsMain() || !distributedState.Contains(localWorkerId))
{
return externalState;
}
// the checkpoint contains internal state for this worker.
Dictionary localState = distributedState[localWorkerId].Value<Dictionary>();
auto internalState = localState[internalWorkerStateKey].Value<Dictionary>();
auto compositeFunction = std::dynamic_pointer_cast<CompositeFunction>(m_combinedTrainingFunction);
if (compositeFunction == nullptr)
RuntimeError("Combined training function is not a CompositeFunction.");
// this assumes the compositeFunction (restored form a checkpoint made by the main node) and
// the internal worker state both have identical UIDs.
compositeFunction->SetInternalState(internalState);
return localState[externalWorkerStateKey].Value<Dictionary>();
}
// dictionary load/contains/find test
void Test::Test9()
{
const size_t dict_size = 10;
ofstream f("dict");
for (size_t i = 0; i < dict_size; ++i)
f << i << endl;
f.close();
Dictionary dict;
string msg;
bool res = dict.Load("dict", 1, msg);
for (size_t i = 0; res && i < dict_size; ++i)
{
string str = to_string(i);
res = dict.Contains(str);
Dictionary::DictionaryData::iterator di;
res = res && dict.Find(str, di);
res = res && di->first.compare(str) == 0;
res = res && di->second == false;
}
printf(res ? "Test9:\tpassed\r\n" : "Test9:\tfailed\r\n");
remove("dict");
}
/*static*/ FunctionPtr UDFUtils::Deserialize(const Dictionary& dict,
const unordered_map<std::wstring, Variable>& uidToVariableMap,
const DeviceDescriptor& device)
{
static const vector<std::wstring> s_requiredDictionaryKeys = { typeKey, uidKey, inputsKey, userDefinedStateKey };
ValidateDictionary<PrimitiveFunction>(dict, s_requiredDictionaryKeys, s_userDefinedFunctionTypeValue, s_serializationVersion);
const auto& uid = dict[uidKey].Value<std::wstring>();
std::wstring name = L"";
if (dict.Contains(nameKey))
name = dict[nameKey].Value<std::wstring>();
auto inputs = GetInputVariables(dict, uidToVariableMap, s_serializationVersion);
auto state = dict[userDefinedStateKey].Value<Dictionary>();
FunctionPtr udf;
if (IsNativeUDF(dict))
{
udf = Function::DeserializeNativeImpl(inputs, name, state);
}
else if (s_SWIGCallbackWrapper != nullptr)
{
// If we're being called from SWIG, the actual deserializer should be registered by
// the target language CNTK implementation (i.e., cntk_py for Python)
udf = s_SWIGCallbackWrapper->operator()(inputs, name, state);
}
if (udf == nullptr)
{
RuntimeError("Unable to reconstruct a user-defined function (name = %S, uid = %S). "
"Please make sure to specify a valid UDF deserializer.", name.c_str(), uid.c_str());
}
// Restore the original uid, which other functions in the graph depend on
// (their inputs refer to the uids of this UDF outputs, which are generated base on the uid of this UDF).
udf->m_uid = uid;
return udf;
}
/*static*/ bool UDFUtils::IsNativeUDF(const Dictionary& dict)
{
assert(IsUDF(dict));
return (dict.Contains(nativeUDFKey) && dict[nativeUDFKey].Value<bool>() == true);
}
/*static*/ bool UDFUtils::IsUDF(const Dictionary& dict)
{
return (dict.Contains(typeKey) && dict[typeKey].Value<std::wstring>() == s_userDefinedFunctionTypeValue);
}
/*static*/ Variable Variable::Deserialize(const Dictionary& dict, const CNTK::DeviceDescriptor& device)
{
static const vector<std::wstring> s_requiredDictionaryKeys = { typeKey, uidKey, kindKey, dataTypeKey, dynamicAxisKey, isSparseKey, needsGradientKey, shapeKey };
size_t version = ValidateDictionary<Variable>(dict, s_requiredDictionaryKeys, s_variableTypeValue, s_serializationVersion);
const auto& uid = dict[uidKey].Value<std::wstring>();
VariableKind kind = VariableKind(dict[kindKey].Value<std::size_t>());
if (kind != VariableKind::Constant &&
kind != VariableKind::Input &&
kind != VariableKind::Parameter &&
kind != VariableKind::Placeholder)
{
LogicError("Unexpected variable '%ls':'%u' (%s).",
kindKey.c_str(),
static_cast<std::underlying_type<VariableKind>::type>(kind),
GetVersionsString<Variable>(s_serializationVersion, version).c_str());
}
DataType dataType = DataType(dict[dataTypeKey].Value<std::size_t>());
if (dataType != DataType::Unknown &&
dataType != DataType::Float &&
dataType != DataType::Double)
{
LogicError("Unexpected variable '%ls':'%u' (%s).",
dataTypeKey.c_str(),
static_cast<std::underlying_type<DataType>::type>(dataType),
GetVersionsString<Variable>(s_serializationVersion, version).c_str());
}
const vector<DictionaryValue>& dictionaryValueVector = dict[dynamicAxisKey].Value<vector<DictionaryValue>>();
vector<Axis> dynamicAxis;
dynamicAxis.reserve(dictionaryValueVector.size());
for (const auto& dictionaryValue : dictionaryValueVector)
{
dynamicAxis.push_back(dictionaryValue.Value<Axis>());
}
bool isSparse = dict[isSparseKey].Value<bool>();
std::wstring name = L"";
if (dict.Contains(nameKey))
name = dict[nameKey].Value<std::wstring>();
bool needsGradient = dict[needsGradientKey].Value<bool>();
const auto& shape = dict[shapeKey].Value<NDShape>();
if (kind == VariableKind::Constant || kind == VariableKind::Parameter)
{
auto& value = dict[valueKey].Value<NDArrayView>();
// TODO: this copying here is redundant, value should be moved from the dictionary to the variable.
// Also, the correct device should be used upfront when deserializing NDArrayView.
Variable var(shape, kind, dataType, value.DeepClone(device, kind == VariableKind::Constant), needsGradient, dynamicAxis, isSparse, name, uid);
if (var.IsParameter())
return Parameter(var);
else
return Constant(var);
}
return Variable(shape, kind, dataType, nullptr, needsGradient, dynamicAxis, isSparse, name, uid);
}
