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DeepLearning/Tensor/abs

compute the absolute value of entries in a Tensor

DeepLearning/Tensor/ceil

compute the ceiling of entries in a Tensor

DeepLearning/Tensor/erf

compute the erf of entries in a Tensor

DeepLearning/Tensor/erfc

compute the erfc of entries in a Tensor

DeepLearning/Tensor/exp

compute the exponential of entries in a Tensor

DeepLearning/Tensor/floor

compute the floor of entries in a Tensor

DeepLearning/Tensor/log

compute the logarithm of entries in a Tensor

DeepLearning/Tensor/lnGAMMA

compute the lnGAMMA of entries in a Tensor

DeepLearning/Tensor/Psi

compute the Psi of entries in a Tensor

DeepLearning/Tensor/round

compute the rounded value of entries in a Tensor

DeepLearning/Tensor/sign

compute the sign of entries in a Tensor

DeepLearning/Tensor/sqrt

compute the square root of entries in a Tensor

DeepLearning/Tensor/Zeta

compute the Hurwitz zeta function on entries in a Tensor

 

Calling Sequence

Parameters

Options

Description

Examples

Compatibility

Calling Sequence

abs(t,opts)    ceil(t,opts)     erf(t,opts)

erfc(t,opts)   exp(t,opts)      floor(t,opts)

log(t,opts)    lnGAMMA(t,opts)  Psi(t,opts)

round(t,opts)  sign(t,opts)     sqrt(t,opts)

Zeta(t,opts)

Parameters

t

-

Tensor

opts

-

zero or more options as specified below

Options

• 

name=string

The value of option name specifies an optional name for this Tensor, to be displayed in output and when visualizing the dataflow graph.

Description

• 

The abs(t) command computes the abs of entries in a Tensor.

• 

The ceil(t) command computes the complex ceil of entries in a Tensor.

• 

The erf(t) command computes the erf of entries in a Tensor.

• 

The erfc(t) command computes the erfc of entries in a Tensor.

• 

The exp(t) command computes the exponential of entries in a Tensor.

• 

The floor(t) command computes the floor of entries in a Tensor.

• 

The log(t) command computes the logarithm of entries in a Tensor.

• 

The lnGAMMA(t) command computes the lnGAMMA of entries in a Tensor.

• 

The Psi(t) command computes the Psi of entries in a Tensor.

• 

The round(t) command computes the rounded value of entries in a Tensor.

• 

The sign(t) command computes the sign of entries in a Tensor.

• 

The sqrt(t) command computes the square root of entries in a Tensor.

• 

The Zeta(t) command computes the Hurwitz zeta of entries in a Tensor.

Examples

withDeepLearning:

VMatrix11.0,18.3,12.1,20.3,datatype=float8

V11.18.300000000000012.100000000000020.3000000000000

(1)

tTensorV

tDeepLearning TensorName: Const:0Shape: [2, 2]Data Type: float[8]

(2)

valueabst

11.18.300000000000012.100000000000020.3000000000000

(3)

valueceilt

11.19.13.21.

(4)

valueerft

1.1.1.1.

(5)

valueexpt

59874.14171519788.86316876451942107179871.8622537516.54904512153239108

(6)

valueroundt

11.18.12.20.

(7)

Compatibility

• 

The DeepLearning/Tensor/abs, DeepLearning/Tensor/ceil, DeepLearning/Tensor/erf, DeepLearning/Tensor/erfc, DeepLearning/Tensor/exp, DeepLearning/Tensor/floor, DeepLearning/Tensor/log, DeepLearning/Tensor/lnGAMMA, DeepLearning/Tensor/Psi, DeepLearning/Tensor/round, DeepLearning/Tensor/sign, DeepLearning/Tensor/sqrt and DeepLearning/Tensor/Zeta commands were introduced in Maple 2018.

• 

For more information on Maple 2018 changes, see Updates in Maple 2018.

See Also

DeepLearning Overview

Tensor