* Copyright (c) 2026 Huawei Technologies Co., Ltd.
* This program is free software, you can redistribute it and/or modify it under the terms and conditions of
* CANN Open Software License Agreement Version 2.0 (the "License").
* Please refer to the License for details. You may not use this file except in compliance with the License.
* THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND, EITHER EXPRESS OR IMPLIED,
* INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE.
* See LICENSE in the root of the software repository for the full text of the License.
*/
* \file stateless_random.cpp
* \brief Stateless random number generation API
*/
#include "stateless_random.h"
#include "opdev/make_op_executor.h"
#include "opdev/op_def.h"
#include "opdev/op_dfx.h"
#include "opdev/op_executor.h"
#include "opdev/op_log.h"
#include "opdev/shape_utils.h"
#include "opdev/platform.h"
using namespace op;
namespace l0op {
OP_TYPE_REGISTER(StatelessRandom);
static const std::initializer_list<DataType> AICORE_DTYPE_SUPPORT_LIST = {
op::DataType::DT_FLOAT, op::DataType::DT_INT32, op::DataType::DT_BF16, op::DataType::DT_FLOAT16,
op::DataType::DT_INT16, op::DataType::DT_INT8, op::DataType::DT_UINT8, op::DataType::DT_BOOL,
op::DataType::DT_INT64};
static inline bool IsDtypeSupport(DataType inputDtype)
{
return CheckType(inputDtype, AICORE_DTYPE_SUPPORT_LIST);
}
static const aclTensor* StatelessRandomWithoutFromToAiCore(
const aclTensor* inputSize, const aclTensor* seed, const aclTensor* offset,
aclTensor* out, aclOpExecutor* executor)
{
L0_DFX(StatelessRandomWithoutFromToAiCore, inputSize, seed, offset);
ADD_TO_LAUNCHER_LIST_AICORE(
StatelessRandom, OP_INPUT(inputSize, seed, offset, nullptr, nullptr),
OP_OUTPUT(out), OP_ATTR(out->GetDataType()));
return out;
}
const aclTensor* StatelessRandomWithoutFromTo(
const aclTensor* self, int64_t seed, int64_t offset,
aclOpExecutor* executor)
{
auto inputShape = op::ToShapeVector(self->GetViewShape());
auto inputSizeArray = executor->AllocIntArray(inputShape.data(), inputShape.size());
auto inputSize = executor->ConvertToTensor(inputSizeArray, DataType::DT_INT64);
auto seedTensor = executor->ConvertToTensor(&seed, 1, op::DataType::DT_INT64);
auto offsetTensor = executor->ConvertToTensor(&offset, 1, op::DataType::DT_INT64);
aclTensor* out = nullptr;
if (IsDtypeSupport(self->GetDataType())) {
out = executor->AllocTensor(self->GetViewShape(), self->GetDataType(), self->GetViewFormat());
} else {
out = executor->AllocTensor(self->GetViewShape(), op::DataType::DT_INT32, self->GetViewFormat());
}
return StatelessRandomWithoutFromToAiCore(inputSize, seedTensor, offsetTensor, out, executor);
}
const aclTensor* StatelessRandomWithoutFromTo(
const aclTensor* self, const aclTensor* seedTensor, const aclTensor* offsetTensor,
aclOpExecutor* executor)
{
auto inputShape = op::ToShapeVector(self->GetViewShape());
auto inputSizeArray = executor->AllocIntArray(inputShape.data(), inputShape.size());
auto inputSize = executor->ConvertToTensor(inputSizeArray, DataType::DT_INT64);
aclTensor* out = nullptr;
if (IsDtypeSupport(self->GetDataType())) {
out = executor->AllocTensor(self->GetViewShape(), self->GetDataType(), self->GetViewFormat());
} else {
out = executor->AllocTensor(self->GetViewShape(), op::DataType::DT_INT32, self->GetViewFormat());
}
return StatelessRandomWithoutFromToAiCore(inputSize, seedTensor, offsetTensor, out, executor);
}
static const aclTensor* StatelessRandomAiCore(
const aclTensor* inputSize, const aclTensor* seed, const aclTensor* offset, const aclTensor* from,
const aclTensor* to, aclTensor* out, aclOpExecutor* executor)
{
L0_DFX(StatelessRandomAiCore, inputSize, seed, offset, from, to);
ADD_TO_LAUNCHER_LIST_AICORE(
StatelessRandom, OP_INPUT(inputSize, seed, offset, from, to), OP_OUTPUT(out), OP_ATTR(out->GetDataType()));
return out;
}
const aclTensor* StatelessRandom(
const aclTensor* self, int64_t seed, int64_t offset, int64_t from, int64_t to,
aclOpExecutor* executor)
{
auto inputShape = op::ToShapeVector(self->GetViewShape());
auto inputSizeArray = executor->AllocIntArray(inputShape.data(), inputShape.size());
auto inputSize = executor->ConvertToTensor(inputSizeArray, DataType::DT_INT64);
auto seedTensor = executor->ConvertToTensor(&seed, 1, op::DataType::DT_INT64);
auto offsetTensor = executor->ConvertToTensor(&offset, 1, op::DataType::DT_INT64);
auto fromTensor = executor->ConvertToTensor(executor->AllocScalar(from), op::DataType::DT_INT64);
auto toTensor = executor->ConvertToTensor(executor->AllocScalar(to), op::DataType::DT_INT64);
aclTensor* out = nullptr;
if (IsDtypeSupport(self->GetDataType())) {
out = executor->AllocTensor(self->GetViewShape(), self->GetDataType(), self->GetViewFormat());
} else {
out = executor->AllocTensor(self->GetViewShape(), op::DataType::DT_INT32, self->GetViewFormat());
}
return StatelessRandomAiCore(inputSize, seedTensor, offsetTensor, fromTensor, toTensor, out, executor);
}
const aclTensor* StatelessRandom(
const aclTensor* self, const aclTensor* seedTensor, const aclTensor* offsetTensor, int64_t from, int64_t to,
aclOpExecutor* executor)
{
auto inputShape = op::ToShapeVector(self->GetViewShape());
auto inputSizeArray = executor->AllocIntArray(inputShape.data(), inputShape.size());
auto inputSize = executor->ConvertToTensor(inputSizeArray, DataType::DT_INT64);
auto fromTensor = executor->ConvertToTensor(executor->AllocScalar(from), op::DataType::DT_INT64);
auto toTensor = executor->ConvertToTensor(executor->AllocScalar(to), op::DataType::DT_INT64);
aclTensor* out = nullptr;
if (IsDtypeSupport(self->GetDataType())) {
out = executor->AllocTensor(self->GetViewShape(), self->GetDataType(), self->GetViewFormat());
} else {
out = executor->AllocTensor(self->GetViewShape(), op::DataType::DT_INT32, self->GetViewFormat());
}
return StatelessRandomAiCore(inputSize, seedTensor, offsetTensor, fromTensor, toTensor, out, executor);
}
}