Cosh#
Domain:
ai.onnxSince version: 22
Computes the Cosh value of the input tensor element-wise.
Inputs
input (T): Input tensor
Outputs
output (T): The hyperbolic cosine values of the input tensor computed element-wise
Type Constraints
T: Constrain input and output types to float tensors. Allowed types: tensor(bfloat16), tensor(double), tensor(float), tensor(float16).
Examples#
test_cc_cosh
Node:
Cosh(x) -> (y)
Inputs:
x: shape=(2, 3), dtype=float32
[[-2. , -0.5, 0. ],
[ 0.5, 1. , 3. ]]
Outputs:
y: shape=(2, 3), dtype=float32
[[ 3.7621958, 1.127626 , 1. ],
[ 1.127626 , 1.5430806, 10.067662 ]]
test_cosh
Node:
Cosh(x) -> (y)
Inputs:
x: shape=(3, 4, 5), dtype=float32
[[[ 1.4243481 , -0.61890423, -0.5907667 , 1.4329695 , 0.5837956 ],
[-1.3854368 , 1.2791865 , 0.32735094, 0.6038593 , 0.24222691],
[-0.89236253, -1.1303798 , -0.09180629, -0.12591071, -1.2615176 ],
[-0.55638343, -0.747256 , -0.59118223, -0.9279915 , -0.73401135]],
[[ 1.1054384 , -0.69560546, -2.1534553 , 0.11396561, -0.8268097 ],
[ 1.2137318 , -0.22223468, 0.32949635, -0.21049212, 1.3518724 ],
[ 0.01262847, 0.6841954 , -1.2623075 , 0.20052178, -1.1255072 ],
[-0.6395738 , 1.5355366 , -1.1466801 , -0.42676184, -0.74427605]],
[[-1.5989435 , 2.3646672 , -1.0641551 , 0.90345967, -0.24993172],
[-1.784248 , -0.47239977, 0.09873669, -0.36464727, 0.6651279 ],
[-1.01641 , -0.39525023, 0.45574856, -0.3439513 , -0.5487247 ],
[ 0.06280329, -0.14411083, -1.1603392 , 0.49200374, -0.16951095]]]
Outputs:
y: shape=(3, 4, 5), dtype=float32
[[[2.197907 , 1.1977133, 1.1796373, 2.2148626, 1.1753038],
[2.1233928, 1.9359893, 1.0540595, 1.1879311, 1.0294807],
[1.4252882, 1.7098715, 1.0042171, 1.0079372, 1.9069998],
[1.1588156, 1.2924317, 1.1798973, 1.4623853, 1.2817005]],
[[1.675807 , 1.2518475, 4.3653274, 1.0065011, 1.3617283],
[1.8315544, 1.0247959, 1.0547768, 1.0222354, 2.061705 ],
[1.0000798, 1.2433362, 1.908283 , 1.020172 , 1.7031338],
[1.211595 , 2.4295785, 1.7327075, 1.0924534, 1.2899976]],
[[2.574956 , 5.367239 , 1.6217042, 1.4366463, 1.0313959],
[3.0615118, 1.1136713, 1.0048784, 1.0672238, 1.2294735],
[1.5625743, 1.0791335, 1.1056634, 1.0597367, 1.1543651],
[1.0019728, 1.010402 , 1.7521976, 1.1234951, 1.0144014]]]
test_cosh_example
Node:
Cosh(x) -> (y)
Inputs:
x: shape=(3,), dtype=float32
[-1., 0., 1.]
Outputs:
y: shape=(3,), dtype=float32
[1.5430806, 1. , 1.5430806]
Differences with previous version (9)#
SchemaDiff: Cosh (domain 'ai.onnx')
old version: 9
new version: 22
breaking: no
Type constraints:
changed ‘T’: added types: [‘tensor(bfloat16)’]