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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
/*!
* \file metadata.h
* \brief Meta data related utilities
*/
#ifndef TVM_RUNTIME_METADATA_H_
#define TVM_RUNTIME_METADATA_H_
#include <tvm/ffi/container/array.h>
#include <tvm/ffi/container/map.h>
#include <tvm/ffi/extra/json.h>
#include <tvm/ffi/extra/module.h>
#include <tvm/ffi/function.h>
#include <tvm/runtime/tensor.h>
#include <tvm/support/io.h>
#include <tvm/support/serializer.h>
#include <string>
#include <utility>
#include <vector>
namespace tvm {
namespace runtime {
inline ffi::String get_name_mangled(const ffi::String& module_name, const ffi::String& name) {
std::stringstream ss;
ss << module_name << "_" << name;
return ss.str();
}
namespace launch_param {
/*! \brief A tag to specify whether or not dynamic shared memory is used */
constexpr const char* kUseDynamicSharedMemoryTag = "tirx.use_dyn_shared_memory";
/*! \brief A tag to specify whether or not use programatic dependent launch */
constexpr const char* kUseProgramaticDependentLaunch = "tirx.use_programtic_dependent_launch";
/*! \brief A tag to specify whether or not use cooperative launch */
constexpr const char* kUseCooperativeLaunch = "tirx.use_cooperative_launch";
} // namespace launch_param
/*! \brief Extra tags for function arguments */
enum class ArgExtraTags : int { kNone = 0, kTensorMap = 1 };
/*! \brief function information needed by device */
class FunctionInfoObj : public ffi::Object {
public:
ffi::String name;
ffi::Array<DLDataType> arg_types;
ffi::Array<ffi::String> launch_param_tags;
ffi::Array<ArgExtraTags> arg_extra_tags;
ffi::json::Value SaveToJSON() const {
namespace json = ::tvm::ffi::json;
json::Object obj;
obj.Set("name", name);
json::Array sarg_types;
for (const auto& t : arg_types) {
sarg_types.push_back(ffi::String(ffi::DLDataTypeToString(t)));
}
obj.Set("arg_types", std::move(sarg_types));
{
json::Array tags;
for (const auto& s : launch_param_tags) tags.push_back(s);
obj.Set("launch_param_tags", std::move(tags));
}
json::Array iarg_extra_tags;
for (const auto& t : arg_extra_tags) {
iarg_extra_tags.push_back(static_cast<int64_t>(t));
}
obj.Set("arg_extra_tags", std::move(iarg_extra_tags));
return obj;
}
void LoadFromJSON(ffi::json::Object src) {
namespace json = ::tvm::ffi::json;
name = src.at("name").cast<ffi::String>();
auto sarg_types_arr = src.at("arg_types").cast<json::Array>();
arg_types = ffi::Array<DLDataType>();
for (size_t i = 0; i < sarg_types_arr.size(); ++i) {
arg_types.push_back(
ffi::StringToDLDataType(std::string(sarg_types_arr[i].cast<ffi::String>())));
}
auto lt = src.find("launch_param_tags");
if (lt != src.end()) {
auto arr = (*lt).second.cast<json::Array>();
launch_param_tags = ffi::Array<ffi::String>();
for (const auto& elem : arr) launch_param_tags.push_back(elem.cast<ffi::String>());
} else {
auto tt = src.find("thread_axis_tags");
if (tt != src.end()) {
auto arr = (*tt).second.cast<json::Array>();
launch_param_tags = ffi::Array<ffi::String>();
for (const auto& elem : arr) launch_param_tags.push_back(elem.cast<ffi::String>());
}
}
auto et = src.find("arg_extra_tags");
if (et != src.end()) {
auto earr = (*et).second.cast<json::Array>();
arg_extra_tags = ffi::Array<ArgExtraTags>();
for (size_t i = 0; i < earr.size(); ++i) {
arg_extra_tags.push_back(static_cast<ArgExtraTags>(earr[i].cast<int64_t>()));
}
}
}
TVM_FFI_DECLARE_OBJECT_INFO_FINAL("runtime.FunctionInfo", FunctionInfoObj, ffi::Object);
};
class FunctionInfo : public ffi::ObjectRef {
public:
FunctionInfo(ffi::String name, ffi::Array<DLDataType> arg_types,
ffi::Array<ffi::String> launch_param_tags, ffi::Array<ArgExtraTags> arg_extra_tags) {
auto n = ffi::make_object<FunctionInfoObj>();
n->name = std::move(name);
n->arg_types = std::move(arg_types);
n->launch_param_tags = std::move(launch_param_tags);
n->arg_extra_tags = std::move(arg_extra_tags);
data_ = std::move(n);
}
TVM_FFI_DEFINE_OBJECT_REF_METHODS_NULLABLE(FunctionInfo, ffi::ObjectRef, FunctionInfoObj);
};
} // namespace runtime
namespace support {
// ---- Serializer for runtime::FunctionInfo ----
template <>
struct Serializer<runtime::FunctionInfo> {
static constexpr bool enabled = true;
static void Write(Stream* strm, const runtime::FunctionInfo& info) {
Serializer<ffi::String>::Write(strm, info->name);
Serializer<ffi::Array<DLDataType>>::Write(strm, info->arg_types);
Serializer<ffi::Array<ffi::String>>::Write(strm, info->launch_param_tags);
Serializer<ffi::Array<runtime::ArgExtraTags>>::Write(strm, info->arg_extra_tags);
}
static bool Read(Stream* strm, runtime::FunctionInfo* info) {
auto n = ffi::make_object<runtime::FunctionInfoObj>();
if (!Serializer<ffi::String>::Read(strm, &(n->name))) return false;
if (!Serializer<ffi::Array<DLDataType>>::Read(strm, &(n->arg_types))) return false;
if (!Serializer<ffi::Array<ffi::String>>::Read(strm, &(n->launch_param_tags))) return false;
if (!Serializer<ffi::Array<runtime::ArgExtraTags>>::Read(strm, &(n->arg_extra_tags)))
return false;
*info = runtime::FunctionInfo(std::move(n));
return true;
}
};
} // namespace support
} // namespace tvm
#endif // TVM_RUNTIME_METADATA_H_