* Copyright (c) 2025 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.
*/
#include "onnx_common.h"
#include "op_math_proto_extend.h"
#include "math/cast/op_graph/cast_proto.h"
namespace domi {
using NodeProto = ge::onnx::NodeProto;
static Status ParseParamsNpuOneHot(const Message* op_src, ge::Operator& op_dest)
{
op_dest.DynamicInputRegister("x", 1);
op_dest.DynamicOutputRegister("y", 1);
op_dest.SetAttr("original_type", "npu::1::NPUOneHot");
const NodeProto* node = dynamic_cast<const NodeProto*>(op_src);
if (node == nullptr) {
OP_LOGE(GetOpName(op_dest).c_str(), "Dynamic cast op_src to NodeProto failed.");
return FAILED;
}
bool required_attr = false;
int depth = 1;
int num_classes = -1;
int on_value = 1;
int off_value = 0;
for (const auto& attr : node->attribute()) {
if (attr.name() == "num_classes" && attr.type() == ge::onnx::AttributeProto::INT) {
num_classes = attr.i();
}
if (attr.name() == "depth" && attr.type() == ge::onnx::AttributeProto::INT) {
depth = attr.i();
required_attr = true;
}
if (attr.name() == "on_value" && attr.type() == ge::onnx::AttributeProto::INT) {
on_value = attr.i();
}
if (attr.name() == "off_value" && attr.type() == ge::onnx::AttributeProto::INT) {
off_value = attr.i();
}
}
if (!required_attr) {
OP_LOGE(GetOpName(op_dest).c_str(), "Node must have attr depth");
return FAILED;
}
ge::Tensor scalar_on_value = CreateScalar(on_value, ge::DT_INT32);
ge::Tensor scalar_off_value = CreateScalar(off_value, ge::DT_INT32);
op_dest.SetAttr("name", node->name());
op_dest.SetAttr("num_classes", num_classes);
op_dest.SetAttr("depth", depth);
op_dest.SetAttr("on_value", scalar_on_value);
op_dest.SetAttr("off_value", scalar_off_value);
return SUCCESS;
}
static Status ParseOpToGraphOneHot(const ge::Operator& op, ge::Graph& graph)
{
std::string ori_name;
if (op.GetAttr("name", ori_name) != SUCCESS) {
OP_LOGE(GetOpName(op).c_str(), "get name from op failed.");
return FAILED;
}
int axis = -1;
op.GetAttr("num_classes", axis);
int depth = 0;
op.GetAttr("depth", depth);
ge::Tensor on_value;
op.GetAttr("on_value", on_value);
ge::Tensor off_value;
op.GetAttr("off_value", off_value);
auto data0 = ge::op::Data((ori_name + "_data0").c_str()).set_attr_index(0);
auto const_on_value = ge::op::Const((ori_name + "data_on_value").c_str()).set_attr_value(on_value);
auto const_off_value = ge::op::Const((ori_name + "data_off_value").c_str()).set_attr_value(off_value);
auto cast_data0 =
ge::op::Cast((ori_name + "_Cast_data0").c_str()).set_input_x(data0).set_attr_dst_type(ge::DT_INT32);
auto cast_on_value =
ge::op::Cast((ori_name + "_Cast_on_value").c_str()).set_input_x(const_on_value).set_attr_dst_type(ge::DT_FLOAT);
auto cast_off_value = ge::op::Cast((ori_name + "_Cast_off_value").c_str())
.set_input_x(const_off_value)
.set_attr_dst_type(ge::DT_FLOAT);
std::vector<ge::Operator> inputs{data0};
std::vector<std::pair<ge::Operator, std::vector<size_t>>> outputs;
auto OneHotD = ge::op::OneHotD((ori_name + "_OneHotD").c_str())
.set_input_x(cast_data0)
.set_input_on_value(cast_on_value)
.set_input_off_value(cast_off_value)
.set_attr_depth(depth)
.set_attr_axis(axis);
outputs.emplace_back(OneHotD, vector<std::size_t>{0});
graph.SetInputs(inputs).SetOutputs(outputs);
return SUCCESS;
}
REGISTER_CUSTOM_OP("PartitionedCall")
.FrameworkType(ONNX)
.OriginOpType({ge::AscendString("ai.onnx::11::NPUOneHot"),
ge::AscendString("ai.onnx::12::NPUOneHot"),
ge::AscendString("ai.onnx::13::NPUOneHot"),
ge::AscendString("ai.onnx::14::NPUOneHot"),
ge::AscendString("ai.onnx::15::NPUOneHot"),
ge::AscendString("ai.onnx::16::NPUOneHot"),
ge::AscendString("ai.onnx::17::NPUOneHot"),
ge::AscendString("ai.onnx::18::NPUOneHot"),
ge::AscendString("npu::1::NPUOneHot")})
.ParseParamsFn(ParseParamsNpuOneHot)
.ParseOpToGraphFn(ParseOpToGraphOneHot)
.ImplyType(ImplyType::TVM);
}