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//===-- lib/runtime/io-api-server.cpp ---------------------------*- C++ -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
// Implements the RPC server-side handlling of the I/O statement API needed for
// basic list-directed output (PRINT *) of intrinsic types for the GPU.
#include "array.h"
#include "io-api-gpu.h"
#include "flang-rt/runtime/memory.h"
#include "flang-rt/runtime/terminator.h"
#include "flang/Runtime/io-api.h"
#include <cstdlib>
#include <cstring>
#include <tuple>
#include <shared/rpc.h>
#include <shared/rpc_dispatch.h>
namespace Fortran::runtime::io {
namespace {
// Context used to chain the IO operations once run.
struct IOContext {
Cookie cookie = nullptr;
enum Iostat result = IostatOk;
};
// The base class to store deferred execution of a function. Uses function
// pointers for type erasure to avoid virtual dispatch.
struct DeferredFunctionBase {
using ExecuteFn = void (*)(void *, IOContext &);
using DestroyFn = void (*)(void *);
DeferredFunctionBase(void *impl, ExecuteFn exec, DestroyFn dtor)
: impl_(impl), execute_(exec), destroy_(dtor) {}
DeferredFunctionBase(const DeferredFunctionBase &) = delete;
DeferredFunctionBase &operator=(const DeferredFunctionBase &) = delete;
DeferredFunctionBase(DeferredFunctionBase &&other)
: impl_(other.impl_), execute_(other.execute_), destroy_(other.destroy_) {
other.impl_ = nullptr;
}
DeferredFunctionBase &operator=(DeferredFunctionBase &&other) {
if (this != &other) {
reset();
impl_ = other.impl_;
execute_ = other.execute_;
destroy_ = other.destroy_;
other.impl_ = nullptr;
}
return *this;
}
~DeferredFunctionBase() { reset(); }
void execute(IOContext &ctx) { execute_(impl_, ctx); }
static OwningPtr<char> TempString(const char *str, std::size_t size) {
if (!str) {
return {};
}
OwningPtr<char> temp = SizedNew<char>{Terminator{__FILE__, __LINE__}}(size);
std::memcpy(temp.get(), str, size);
return OwningPtr<char>(temp.release());
}
static OwningPtr<char> TempString(const char *str) {
if (!str) {
return {};
}
return TempString(str, std::strlen(str) + 1);
}
private:
void reset() {
if (impl_) {
destroy_(impl_);
FreeMemory(impl_);
impl_ = nullptr;
}
}
void *impl_ = nullptr;
ExecuteFn execute_ = nullptr;
DestroyFn destroy_ = nullptr;
};
// Fortran does not support nested or recursive I/O, which is problematic for
// parallel execution on a GPU. To support this, we defer execution of runtime
// functions coming from the GPU's client until the end of that sequence is
// reached. This allows us to finish them in a single pass.
template <typename FnTy, typename... Args> struct DeferredFunction {
FnTy fn_;
std::tuple<std::decay_t<Args>...> args_;
DeferredFunction(FnTy &&fn, Args &&...args)
: fn_(std::forward<FnTy>(fn)), args_(std::forward<Args>(args)...) {}
// When executing the final command queue we need to replace the temporary
// values obtained from the GPU with the returned values from the actual
// runtime functions.
void execute(IOContext &ctx) {
auto caller = [&](auto &&...args) { return fn_(Rewrite(args, ctx)...); };
using RetTy = std::invoke_result_t<FnTy,
decltype(Rewrite(std::declval<Args &>(), ctx))...>;
if constexpr (std::is_same_v<RetTy, Cookie>) {
ctx.cookie = std::apply(caller, args_);
} else if constexpr (std::is_same_v<RetTy, Iostat>) {
ctx.result = std::apply(caller, args_);
} else {
std::apply(caller, args_);
}
}
private:
template <typename T> T &Rewrite(T &v, IOContext &) { return v; }
const char *Rewrite(OwningPtr<char> &p, IOContext &) { return p.get(); }
Cookie Rewrite(Cookie, IOContext &ctx) { return ctx.cookie; }
};
template <typename Fn, typename... Args>
DeferredFunctionBase MakeDeferred(Fn &&fn, Args &&...args) {
Terminator terminator{__FILE__, __LINE__};
using Ty = DeferredFunction<Fn, Args...>;
auto ptr = SizedNew<Ty>{terminator}(
sizeof(Ty), std::forward<Fn>(fn), std::forward<Args>(args)...);
void *raw = ptr.release();
return DeferredFunctionBase(
raw,
[](void *self, IOContext &ctx) { static_cast<Ty *>(self)->execute(ctx); },
[](void *self) { static_cast<Ty *>(self)->~Ty(); });
}
// The context associated with the queue of deferred functions. This serves as
// our cookie object while executing this on the GPU.
struct DeferredContext {
IOContext ioCtx;
DynamicArray<DeferredFunctionBase> commands;
};
template <typename FnTy, typename... Args>
bool EnqueueDeferred(FnTy &&fn, Cookie cookie, Args &&...args) {
DeferredContext *ctx = reinterpret_cast<DeferredContext *>(cookie);
ctx->commands.emplace_back(
MakeDeferred(fn, cookie, std::forward<Args>(args)...));
return true;
}
template <std::uint32_t NumLanes>
rpc::Status HandleOpcodesImpl(rpc::Server::Port &port) {
switch (port.get_opcode()) {
case BeginExternalListOutput_Opcode:
rpc::invoke<NumLanes>(port,
[](ExternalUnit unitNumber, const char *sourceFile,
int sourceLine) -> Cookie {
DeferredContext *ctx = new (AllocateMemoryOrCrash(
Terminator{__FILE__, __LINE__}, sizeof(DeferredContext)))
DeferredContext;
ctx->commands.emplace_back(
MakeDeferred(IONAME(BeginExternalListOutput), unitNumber,
DeferredFunctionBase::TempString(sourceFile), sourceLine));
return reinterpret_cast<Cookie>(ctx);
});
break;
case BeginExternalFormattedOutput_Opcode:
rpc::invoke<NumLanes>(port,
[](const char *format, std::size_t formatLength,
const Descriptor *formatDescriptor, ExternalUnit unitNumber,
const char *sourceFile, int sourceLine) -> Cookie {
Terminator terminator{__FILE__, __LINE__};
if (formatDescriptor)
terminator.Crash("Non-trivial format descriptors are unsupported");
DeferredContext *ctx =
new (AllocateMemoryOrCrash(terminator, sizeof(DeferredContext)))
DeferredContext;
ctx->commands.emplace_back(
MakeDeferred(IONAME(BeginExternalFormattedOutput),
DeferredFunctionBase::TempString(format, formatLength),
formatLength, formatDescriptor, unitNumber,
DeferredFunctionBase::TempString(sourceFile), sourceLine));
return reinterpret_cast<Cookie>(ctx);
});
break;
case EnableHandlers_Opcode:
rpc::invoke<NumLanes>(port,
[](Cookie cookie, bool hasIoStat, bool hasErr, bool hasEnd, bool hasEor,
bool hasIoMsg) -> void {
EnqueueDeferred(IONAME(EnableHandlers), cookie, hasIoStat, hasErr,
hasEnd, hasEor, hasIoMsg);
});
break;
case EndIoStatement_Opcode:
rpc::invoke<NumLanes>(port, [](Cookie cookie) -> Iostat {
DeferredContext *ctx = reinterpret_cast<DeferredContext *>(cookie);
ctx->commands.emplace_back(MakeDeferred(IONAME(EndIoStatement), cookie));
for (auto &fn : ctx->commands) {
fn.execute(ctx->ioCtx);
}
Iostat result = ctx->ioCtx.result;
ctx->~DeferredContext();
FreeMemory(ctx);
return result;
});
break;
case OutputInteger8_Opcode:
rpc::invoke<NumLanes>(port, [](Cookie cookie, std::int8_t n) -> bool {
return EnqueueDeferred(IONAME(OutputInteger8), cookie, n);
});
break;
case OutputInteger16_Opcode:
rpc::invoke<NumLanes>(port, [](Cookie cookie, std::int16_t n) -> bool {
return EnqueueDeferred(IONAME(OutputInteger16), cookie, n);
});
break;
case OutputInteger32_Opcode:
rpc::invoke<NumLanes>(port, [](Cookie cookie, std::int32_t n) -> bool {
return EnqueueDeferred(IONAME(OutputInteger32), cookie, n);
});
break;
case OutputInteger64_Opcode:
rpc::invoke<NumLanes>(port, [](Cookie cookie, std::int64_t n) -> bool {
return EnqueueDeferred(IONAME(OutputInteger64), cookie, n);
});
break;
#ifdef __SIZEOF_INT128__
case OutputInteger128_Opcode:
rpc::invoke<NumLanes>(port, [](Cookie cookie, common::int128_t n) -> bool {
return EnqueueDeferred(IONAME(OutputInteger128), cookie, n);
});
break;
#endif
case OutputReal32_Opcode:
rpc::invoke<NumLanes>(port, [](Cookie cookie, float x) -> bool {
return EnqueueDeferred(IONAME(OutputReal32), cookie, x);
});
break;
case OutputReal64_Opcode:
rpc::invoke<NumLanes>(port, [](Cookie cookie, double x) -> bool {
return EnqueueDeferred(IONAME(OutputReal64), cookie, x);
});
break;
case OutputComplex32_Opcode:
rpc::invoke<NumLanes>(port, [](Cookie cookie, float re, float im) -> bool {
return EnqueueDeferred(IONAME(OutputComplex32), cookie, re, im);
});
break;
case OutputComplex64_Opcode:
rpc::invoke<NumLanes>(
port, [](Cookie cookie, double re, double im) -> bool {
return EnqueueDeferred(IONAME(OutputComplex64), cookie, re, im);
});
break;
case OutputAscii_Opcode:
rpc::invoke<NumLanes>(
port, [](Cookie cookie, const char *x, std::size_t length) -> bool {
return EnqueueDeferred(IONAME(OutputAscii), cookie,
DeferredFunctionBase::TempString(x, length), length);
});
break;
case OutputCharacter_Opcode:
rpc::invoke<NumLanes>(port,
[](Cookie cookie, const char *x, std::size_t length, int kind) -> bool {
return EnqueueDeferred(IONAME(OutputCharacter), cookie,
DeferredFunctionBase::TempString(x, length * kind), length, kind);
});
break;
case OutputLogical_Opcode:
rpc::invoke<NumLanes>(port, [](Cookie cookie, bool truth) -> bool {
return EnqueueDeferred(IONAME(OutputLogical), cookie, truth);
});
break;
default:
return rpc::RPC_UNHANDLED_OPCODE;
}
return rpc::RPC_SUCCESS;
}
} // namespace
RT_EXT_API_GROUP_BEGIN
std::uint32_t IODEF(HandleRPCOpcodes)(void *raw, std::uint32_t numLanes) {
rpc::Server::Port &port = *reinterpret_cast<rpc::Server::Port *>(raw);
switch (numLanes) {
case 1:
return HandleOpcodesImpl<1>(port);
case 32:
return HandleOpcodesImpl<32>(port);
case 64:
return HandleOpcodesImpl<64>(port);
default:
return rpc::RPC_ERROR;
}
}
RT_EXT_API_GROUP_END
} // namespace Fortran::runtime::io