module onnxrt.ops_cpu.op_acosh
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Short summary#
module mlprodict.onnxrt.ops_cpu.op_acosh
Runtime operator.
Classes#
class |
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Acosh ===== Calculates the hyperbolic arccosine of the given input tensor element-wise. Inputs |
Properties#
property |
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Returns the list of arguments as well as the list of parameters with the default values (close to the signature). … |
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Returns the list of modified parameters. |
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Returns the list of optional arguments. |
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Returns the list of optional arguments. |
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Returns all parameters in a dictionary. |
Methods#
method |
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Documentation#
Runtime operator.
- class mlprodict.onnxrt.ops_cpu.op_acosh.Acosh(onnx_node, desc=None, **options)#
Bases:
mlprodict.onnxrt.ops_cpu._op.OpRunUnaryNum
Calculates the hyperbolic arccosine of the given input tensor element-wise.
Inputs
input (heterogeneous)T: Input tensor
Outputs
output (heterogeneous)T: The hyperbolic arccosine values of the input tensor computed element-wise
Type Constraints
T tensor(float16), tensor(float), tensor(double): Constrain input and output types to float tensors.
Version
Onnx name: Acosh
This version of the operator has been available since version 9.
Runtime implementation:
Acosh
- Parameters
onnx_node – onnx node
desc – internal representation
expected_attributes – expected attributes for this node
options – runtime options
- __init__(onnx_node, desc=None, **options)#
- Parameters
onnx_node – onnx node
desc – internal representation
expected_attributes – expected attributes for this node
options – runtime options
- _run(x)#
Should be overwritten.
- _run_inplace(x)#
- to_python(inputs)#
Returns a python code equivalent to this operator.
- Parameters
inputs – inputs name
- Returns
imports, python code, both as strings