Constant#
Constant - 13#
Version
name: Constant (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
This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value, or value_* must be specified.
Attributes
sparse_value: The value for the elements of the output tensor in sparse format.
value: The value for the elements of the output tensor.
value_float: The value for the sole element for the scalar, float32, output tensor.
value_floats: The values for the elements for the 1D, float32, output tensor.
value_int: The value for the sole element for the scalar, int64, output tensor.
value_ints: The values for the elements for the 1D, int64, output tensor.
value_string: The value for the sole element for the scalar, UTF-8 string, output tensor.
value_strings: The values for the elements for the 1D, UTF-8 string, output tensor.
Outputs
output (heterogeneous) - T: Output tensor containing the same value of the provided tensor.
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.
Examples
default
import numpy as np
import onnx
values = np.random.randn(5, 5).astype(np.float32)
node = onnx.helper.make_node(
"Constant",
inputs=[],
outputs=["values"],
value=onnx.helper.make_tensor(
name="const_tensor",
data_type=onnx.TensorProto.FLOAT,
dims=values.shape,
vals=values.flatten().astype(float),
),
)
expect(node, inputs=[], outputs=[values], name="test_constant")
Constant - 12#
Version
name: Constant (GitHub)
domain: main
since_version: 12
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 12.
Summary
This operator produces a constant tensor. Exactly one of the provided attributes, either value, sparse_value, or value_* must be specified.
Attributes
sparse_value: The value for the elements of the output tensor in sparse format.
value: The value for the elements of the output tensor.
value_float: The value for the sole element for the scalar, float32, output tensor.
value_floats: The values for the elements for the 1D, float32, output tensor.
value_int: The value for the sole element for the scalar, int64, output tensor.
value_ints: The values for the elements for the 1D, int64, output tensor.
value_string: The value for the sole element for the scalar, UTF-8 string, output tensor.
value_strings: The values for the elements for the 1D, UTF-8 string, output tensor.
Outputs
output (heterogeneous) - T: Output tensor containing the same value of the provided tensor.
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.
Constant - 11#
Version
name: Constant (GitHub)
domain: main
since_version: 11
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 11.
Summary
A constant tensor. Exactly one of the two attributes, either value or sparse_value, must be specified.
Attributes
sparse_value: The value for the elements of the output tensor in sparse format.
value: The value for the elements of the output tensor.
Outputs
output (heterogeneous) - T: Output tensor containing the same value of the provided tensor.
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.
Constant - 9#
Version
name: Constant (GitHub)
domain: main
since_version: 9
function: False
support_level: SupportType.COMMON
shape inference: True
This version of the operator has been available since version 9.
Summary
A constant tensor.
Attributes
value (required): The value for the elements of the output tensor.
Outputs
output (heterogeneous) - T: Output tensor containing the same value of the provided tensor.
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.
Constant - 1#
Version
name: Constant (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
A constant tensor.
Attributes
value (required): The value for the elements of the output tensor.
Outputs
output (heterogeneous) - T: Output tensor containing the same value of the provided tensor.
Type Constraints
T in ( tensor(double), tensor(float), tensor(float16) ): Constrain input and output types to float tensors.