Description Usage Format Value Fields Usage Public Methods Details Author(s)
Tensor class providing methods for chaining operations to be evaluated lazily.
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R6Class
object
Object of R6Class
with methods for symbolic operations
tensor
Stores the tensor object
name
The name of the Tensor object
graph
The graph containing the registered Nodes and Operations to be evaluated
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.dot(name = NA)
Dot product of two Tensors
.add(name = NA)
Addition of two Tensors
.sub(name = NA)
Subtraction of two Tensors
.mult(name = NA)
Elementwise multiplication of two Tensors
.div(name = NA)
Elementwise division of two Tensors
.eq(name = NA)
Elementwise equality of Tensors
.neq(name = NA)
Elementwise inequality of Tensors
.gte(name = NA)
Elementwise >= of Tensors
.gt(name = NA)
Elementwise > of Tensors
.lte(name = NA)
Elementwise <= of Tensors
.lt(name = NA)
Elementwise < of Tensors
pow(val,name = NA)
Power (^
) of Tensor elements
log(base = exp(1))(name = NA)
Natural log of Tensor elements
log10(name = NA)
Log base 10 of Tensor elements
log1p(name = NA)
log(1+x)
of Tensor elements
log2(name = NA)
Log base 2 of Tensor elements
exp(name = NA)
Exponential of Tensor elements
expm1(name = NA)
exp(x) - 1
of Tensor elements
sin(name = NA)
sin of Tensor elements
asin(name = NA)
asin of Tensor elements
sinh(name = NA)
sinh of Tensor elements
cos(name = NA)
cos of Tensor elements
acos(name = NA)
acos of Tensor elements
cosh(name = NA)
cosh of Tensor elements
tan(name = NA)
tan of Tensor elements
atan(name = NA)
atan of Tensor elements
tanh(name = NA)
tanh of Tensor elements
max(name = NA)
max of Tensor elements
min(name = NA)
min of Tensor elements
mean(name = NA)
mean of Tensor elements
abs(name = NA)
abs of Tensor elements
round(digits, name = NA)
round of Tensor elements
floor(name = NA)
floor of Tensor elements
ceiling(name = NA)
ceiling of Tensor elements
sqrt(name = NA)
sqrt of Tensor elements
sign(name = NA)
sign of Tensor elements
sum(name = NA)
sum of Tensor elements
cumsum(name = NA)
cumulative sum of Tensor elements
prod(name = NA)
product of Tensor elements
cumprod(name = NA)
cumulative product of Tensor elements
compute(feed_list)
Compute/Evaluate the Tensor graph
chain(f)(name = NA)
Process a function to be evaluated within the Tensor graph
drop(idx = NA, name = NA)
Drop a previously added operation from the Tensor graph
has_history
returns boolean indicating of additional Tensor involved in graph
Tensor
is the base class of this package (based upon R6). The
Placeholder
, variable
, and constant
are all child
class of the Tensor
class.
There are only minor differences with the variable
and constant
child classes. variable
instances have their shape
fixed. The
internal data values may be changed but the shape of the Tensor is not allowed.
As can be assumed, the constant
child class does not allow any change to
the underlying Tensor or the Tensor shape.
The Placeholder
class is unique in that it contains NO underlying data.
The class simply contains the shape of the intended Tensor. All chained methods
are still applicable. The user is recommended to provide a name
to the
initialized Placeholder
as when the final compute
method is called,
the operations will look for a passed named list element in the
compute{feed_list = list()}
call. This allows the user to provide alternate
datasets to a previously prototyped process. This mirrors the functionality of
libraries such as Tensorflow.
Charles Determan Jr.
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