as_tensor function

as_tensor

Coerce objects to tensorflow tensors (potentially of a specific dtype or shape). The provided default methods will call list("tf$convert_to_tensor"). Depending on arguments supplied it may also call some combination of

• list("tf$saturate_cast")](https://www.tensorflow.org/api_docs/python/tf/dtypes/saturate_cast) or [list("tf$cast")
• list("tf$fill")](https://www.tensorflow.org/api_docs/python/tf/fill) or [list("tf$reshape")

as_tensor(x, dtype = NULL, ..., name = NULL)

## Default S3 method:
as_tensor(x, dtype = NULL, ..., shape = NULL, name = NULL)

## S3 method for class 'double'
as_tensor(x, dtype = NULL, ..., name = NULL)

Arguments

• x: object to convert
• dtype: NULL, a tensorflow dtype (tf$int32), or something coercible to one (e.g. a string "int32")
• ...,: ignored
• name: NULL or a string. Useful for debugging in graph mode, ignored while in eager mode.
• shape: an integer vector, tensor, or tf.TensorShape. Can contain up to 1 unspecified dimension, encoded as a -1 or NA. This will reshape x using row-major (C-style) semantics. It will prefer reshaping using non-graph operations if possible, but will otherwise invoke tf$reshape(). If x is a scalar and the requested shape is fully defined or a tensor, the value of x will be recycled to fill a tensor of the requested shape (it will dispatch to tf$fill()).

Returns

a tensorflow tensor

Examples

## Not run:

as_tensor(42, "int32")
as_tensor(as_tensor(42))
## End(Not run)