Intel® oneAPI Deep Neural Network Developer Guide and Reference
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class dnnl::graph::op
Overview
An op object. More…
#include <dnnl_graph.hpp>
class op: public op_handle
{
public:
// enums
enum attr;
enum kind;
// construction
op(size_t id, kind akind, const std::string& verbose_name = "");
op(
size_t id,
kind akind,
const std::vector<logical_tensor>& inputs,
const std::vector<logical_tensor>& outputs,
const std::string& verbose_name = ""
);
// methods
void add_input(const logical_tensor& t);
void add_inputs(const std::vector<logical_tensor>& ts);
void add_output(const logical_tensor& t);
void add_outputs(const std::vector<logical_tensor>& ts);
template <typename Type, req<std::is_same<Type, int64_t>::value> = true>
op& set_attr(
attr name,
const Type& value
);
};
Detailed Documentation
An op object.
Construction
op(size_t id, kind akind, const std::string& verbose_name = "")
Constructs an op object with an unique ID, an operation kind, and a name string.
Parameters:
id |
The unique ID of the op. |
akind |
The op kind specifies which computation is represented by the op, such as Convolution or ReLU. |
verbose_name |
The string added as the op name. |
op(
size_t id,
kind akind,
const std::vector<logical_tensor>& inputs,
const std::vector<logical_tensor>& outputs,
const std::string& verbose_name = ""
)
Constructs an op object with an unique ID, an operation kind, and input/output logical tensors.
Parameters:
id |
The unique ID of this op. |
akind |
The op kind specifies which computation is represented by this op, such as Convolution or ReLU. |
inputs |
Input logical tensor to be bound to this op. |
outputs |
Output logical tensor to be bound to this op. |
verbose_name |
The string added as the op name. |
Methods
void add_input(const logical_tensor& t)
Adds an input logical tensor to the op.
Parameters:
t |
Input logical tensor. |
void add_inputs(const std::vector<logical_tensor>& ts)
Adds a vector of input logical tensors to the op.
Parameters:
ts |
The list of input logical tensors. |
void add_output(const logical_tensor& t)
Adds an output logical tensor to the op.
Parameters:
t |
Output logical tensor. |
void add_outputs(const std::vector<logical_tensor>& ts)
Adds a vector of output logical tensors to the op.
Parameters:
ts |
The list of output logical tensors. |
template <typename Type, req<std::is_same<Type, int64_t>::value> = true>
op& set_attr(
attr name,
const Type& value
)
Sets the attribute according to the name and type (int64_t).
Parameters:
Type |
Attribute’s type. |
name |
Attribute’s name. |
value |
The attribute’s value. |
Returns:
The Op self.