Identity#
Identity - 16#
Version
name: Identity (GitHub)
domain: main
since_version: 16
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 16.
Summary
Identity operator
Inputs
input (heterogeneous) - V: Input tensor
Outputs
output (heterogeneous) - V: Tensor to copy input into.
Type Constraints
V in ( optional(seq(tensor(bool))), optional(seq(tensor(complex128))), optional(seq(tensor(complex64))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bool)), optional(tensor(complex128)), optional(tensor(complex64)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bool)), seq(tensor(complex128)), seq(tensor(complex64)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain input and output types to all tensor, sequence, and optional types.
Examples
default
import numpy as np
import onnx
node = onnx.helper.make_node(
"Identity",
inputs=["x"],
outputs=["y"],
)
data = np.array(
[
[
[
[1, 2],
[3, 4],
]
]
],
dtype=np.float32,
)
expect(node, inputs=[data], outputs=[data], name="test_identity")
_sequence
import numpy as np
import onnx
node = onnx.helper.make_node(
"Identity",
inputs=["x"],
outputs=["y"],
)
data = [
np.array(
[
[
[
[1, 2],
[3, 4],
]
]
],
dtype=np.float32,
),
np.array(
[
[
[
[2, 3],
[1, 5],
]
]
],
dtype=np.float32,
),
]
expect(node, inputs=[data], outputs=[data], name="test_identity_sequence")
_identity_opt
import numpy as np
import onnx
ten_in_tp = onnx.helper.make_tensor_type_proto(
onnx.TensorProto.FLOAT, shape=[5]
)
seq_in_tp = onnx.helper.make_sequence_type_proto(ten_in_tp)
opt_in_tp = onnx.helper.make_optional_type_proto(seq_in_tp)
identity_node = onnx.helper.make_node(
"Identity", inputs=["opt_in"], outputs=["opt_out"]
)
x = [np.array([1, 2, 3, 4, 5]).astype(np.float32)]
expect(
identity_node,
inputs=[x],
outputs=[x],
name="test_identity_opt",
opset_imports=[onnx.helper.make_opsetid("", 16)],
input_type_protos=[opt_in_tp],
output_type_protos=[opt_in_tp],
)
Identity - 14#
Version
name: Identity (GitHub)
domain: main
since_version: 14
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 14.
Summary
Identity operator
Inputs
input (heterogeneous) - V: Input tensor
Outputs
output (heterogeneous) - V: Tensor to copy input into.
Type Constraints
V in ( seq(tensor(bool)), seq(tensor(complex128)), seq(tensor(complex64)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain input and output types to all tensor and sequence types.
Identity - 13#
Version
name: Identity (GitHub)
domain: main
since_version: 13
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 13.
Summary
Identity operator
Inputs
input (heterogeneous) - T: Input tensor
Outputs
output (heterogeneous) - T: Tensor to copy input into.
Type Constraints
T in ( tensor(bfloat16), tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain input and output types to all tensor types.
Identity - 1#
Version
name: Identity (GitHub)
domain: main
since_version: 1
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 1.
Summary
Identity operator
Inputs
input (heterogeneous) - T: Input tensor
Outputs
output (heterogeneous) - T: Tensor to copy input into.
Type Constraints
T in ( tensor(bool), tensor(complex128), tensor(complex64), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) ): Constrain input and output types to all tensor types.