tensor.io
– Tensor IO Ops¶
File operation¶
- Load from disk with the function
load
and its associated opLoadFromDisk
Details¶
-
class
theano.tensor.io.
LoadFromDisk
(dtype, broadcastable, mmap_mode=None)¶ An operation to load an array from disk.
See also
Notes
Non-differentiable.
-
class
theano.tensor.io.
MPIRecv
(source, tag, shape, dtype)¶ An operation to asynchronously receive an array to a remote host using MPI.
See also
MPIRecv
,MPIWait
Notes
Non-differentiable.
-
class
theano.tensor.io.
MPIRecvWait
(tag)¶ An operation to wait on a previously received array using MPI.
See also
Notes
Non-differentiable.
-
class
theano.tensor.io.
MPISend
(dest, tag)¶ An operation to asynchronously Send an array to a remote host using MPI.
See also
Notes
Non-differentiable.
-
class
theano.tensor.io.
MPISendWait
(tag)¶ An operation to wait on a previously sent array using MPI.
See also
Notes
Non-differentiable.
-
theano.tensor.io.
irecv
(shape, dtype, source, tag)¶ Non-blocking receive.
-
theano.tensor.io.
isend
(var, dest, tag)¶ Non blocking send.
-
theano.tensor.io.
load
(path, dtype, broadcastable, mmap_mode=None)¶ Load an array from an .npy file.
Parameters: - path – A Generic symbolic variable, that will contain a string
- dtype (data-type) – The data type of the array to be read.
- broadcastable – The broadcastable pattern of the loaded array, for instance, (False,) for a vector, (False, True) for a column, (False, False) for a matrix.
- mmap_mode – How the file will be loaded. None means that the data will be copied into an array in memory, ‘c’ means that the file will be mapped into virtual memory, so only the parts that are needed will be actually read from disk and put into memory. Other modes supported by numpy.load (‘r’, ‘r+’, ‘w+’) cannot be supported by Theano.
Examples
>>> from theano import * >>> path = Variable(Generic()) >>> x = tensor.load(path, 'int64', (False,)) >>> y = x*2 >>> fn = function([path], y) >>> fn("stored-array.npy") array([0, 2, 4, 6, 8], dtype=int64)
-
theano.tensor.io.
mpi_send_wait_key
(a)¶ Wait as long as possible on Waits, Start Send/Recvs early.
-
theano.tensor.io.
mpi_tag_key
(a)¶ Break MPI ties by using the variable tag - prefer lower tags first.
-
theano.tensor.io.
recv
(shape, dtype, source, tag)¶ Blocking receive.
-
theano.tensor.io.
send
(var, dest, tag)¶ Blocking send.