Files
pytorch/torch/csrc/distributed/rpc/script_call.cpp
Michael Suo 51a34545e9 Revert D18482934: support torch script call over rpc
Test Plan: revert-hammer

Differential Revision:
D18482934

Original commit changeset: bd82a0d820c4

fbshipit-source-id: ca5e50fb0a883ee311aeb310198d84ad28062158
2020-01-14 13:30:56 -08:00

111 lines
3.2 KiB
C++

#include <torch/csrc/distributed/rpc/script_call.h>
#include <torch/csrc/jit/pickle.h>
namespace torch {
namespace distributed {
namespace rpc {
const std::string ScriptCall::BUILTIN_OP_NAMESPACE_("torch.ops.aten.");
const std::string ScriptCall::ATEN_PREFIX_("aten::");
ScriptCall::ScriptCall(
std::shared_ptr<Operator> op,
std::vector<at::IValue>&& args)
: op_(std::move(op)), stack_(args) {}
std::shared_ptr<Operator> ScriptCall::op() const {
return *op_;
}
const std::vector<at::IValue>& ScriptCall::stack() const {
return stack_;
}
std::vector<at::IValue>& ScriptCall::stackRef() {
return stack_;
}
void ScriptCall::toIValues(std::vector<at::IValue>& ivalues) const {
for (auto& value : stack_) {
ivalues.push_back(value);
}
if (op_) {
// TODO: replace this with a real overload_name when FunctionSchema supports
// that.
ivalues.emplace_back(toString((*op_)->schema()));
// insert qualified name
auto opName = (*op_)->schema().name();
TORCH_CHECK(
opName.find("::") == opName.rfind("::") &&
opName.rfind(ATEN_PREFIX_) == 0,
"Unexpected operator name ",
opName);
// aten::add -> torch.ops.aten.add
opName.replace(0, ATEN_PREFIX_.length(), BUILTIN_OP_NAMESPACE_);
ivalues.emplace_back(std::move(opName));
}
}
std::shared_ptr<Operator> ScriptCall::fromIValues(
std::vector<at::IValue>& ivalues) {
const std::string& qualifiedName = ivalues.back().toStringRef();
if (qualifiedName.rfind(BUILTIN_OP_NAMESPACE_) == 0) {
ivalues.pop_back();
const std::string& str_schema = ivalues.back().toStringRef();
auto op = matchOperator(str_schema);
ivalues.pop_back();
// remove str_schema from ivalues
return op;
} else {
TORCH_CHECK(false, "Unrecognized qualified name ", qualifiedName);
}
}
Message ScriptCall::toMessage() && {
std::vector<IValue> ivalues;
toIValues(ivalues);
std::vector<torch::Tensor> tensor_table;
auto payload =
jit::pickle(c10::ivalue::Tuple::create(ivalues), &tensor_table);
return Message(
std::move(payload), std::move(tensor_table), MessageType::SCRIPT_CALL);
}
std::unique_ptr<ScriptCall> ScriptCall::fromMessage(const Message& message) {
auto payload = static_cast<const char*>(message.payload().data());
auto payload_size = message.payload().size();
auto value =
jit::unpickle(payload, payload_size, nullptr, &message.tensors());
auto values = value.toTuple()->elements();
auto op = fromIValues(values);
return std::make_unique<ScriptCall>(op, std::move(values));
}
std::shared_ptr<Operator> ScriptCall::matchOperator(
const std::string& str_schema) {
// TODO: This is a temporary solution. We should pass enough information to
// allow deterministically matched to one operator.
// extract symbol from the schema
auto schema = torch::jit::parseSchema(str_schema);
auto symbol = at::Symbol::fromQualString(schema.name());
for (auto op : torch::jit::getAllOperatorsFor(symbol)) {
if (toString(op->schema()).compare(str_schema) == 0) {
return op;
}
}
TORCH_CHECK(false, "Cannot find matching operator for schema ", str_schema);
}
} // namespace rpc
} // namespace distributed
} // namespace torch