Decodes the encoded stream inside handle
.
tfc.ops.entropy_decode_index(
handle, index, shape, Tdecoded, name=None
)
The output shape is defined as handle.shape + MakeShape(shape)
, and therefore
both handle
and shape
arguments determine how many symbols are decoded.
Like encoders, decoders in handle
reference multiple distributions. index
indicates which distribution should be used to decode each value in the output.
For example, if decoded
is a 3-D array, then output(i,j,k)
is decoded using
the index(i,j,k)
-th distribution. In general, index
should match the index
of the corresponding EntropyEncodeIndex
op. index
should have the same shape
as output decoded
: handle.shape + MakeShape(shape)
.
handle
controls the number of coding streams. Suppose that index
has the
shape [2, 3, 4]
and that handle
has shape [2]
. Then the first output slice
[0, :, :]
of shape [3, 4]
is decoded from handle[0]
and the second output
slice [1, :, :]
is decoded from handle[1]
. If handle
has shape []
, then
there is only one handle, and the entire output is decoded from a single stream.
The input handle may be produced by the CreateRangeDecoder
op, or may be
passed through from a different EntropyDecode*
op.
This op modifies the input handle
. The handle input edge to the op nodes of
this type should not have other consumers in the graph.
Args | |
---|---|
handle
|
A Tensor of type variant .
|
index
|
A Tensor . Must be one of the following types: int32 .
|
shape
|
A Tensor of type int32 .
|
Tdecoded
|
A tf.DType from: tf.int32 .
|
name
|
A name for the operation (optional). |
Returns | |
---|---|
A tuple of Tensor objects (aliased_handle, decoded).
|
|
aliased_handle
|
A Tensor of type variant .
|
decoded
|
A Tensor of type Tdecoded .
|