3556d1b8a3
Add optional warning for backwards incompatible broadcast.
...
Setting torch.utils.backcompat.broadcast.warning.enabled=True
will cause Python warnings in the case where broadcast occurs
but previously 1-d view style pointwise ops occured.
2017-06-11 05:37:59 -04:00
5af46cb352
Add broadcasting support for matmul.
2017-06-11 05:37:59 -04:00
d81da41650
Make sure the number of MKL and OpenMP threads match
...
Otherwise, on many machines, the size of the OpenMP thread pool will
change between MKL and our OpenMP enabled functions. The constant thread
creation and destruction results in worse performance and leaks memory
on GCC 5.4
2017-06-07 14:53:29 -04:00
8ea7c87c29
Improve init methods
2017-06-02 23:42:11 +02:00
181d2f41bd
Add initial Python wrappers for THDTensors
2017-06-02 23:42:11 +02:00
05bc877a05
make THPPointer have explicit constructors ( #1636 )
2017-05-25 15:35:54 -04:00
d0504aa41d
Implement lgamma function.
2017-05-08 16:21:26 -07:00
4c1cdb6148
Refactor Python string utility function
2017-04-28 21:25:26 +02:00
27990fee54
Use fully qualified name as tp_name for tensors and storages ( #1379 )
2017-04-27 16:26:44 -04:00
cd3bbc9dfd
more operations and optimizations (hspmm, reorder, ...)
2017-04-18 12:46:54 -07:00
71303b8af4
Autograd deadlock for recent glibc fix ( #1243 )
2017-04-12 22:24:31 +02:00
afeeb81e79
Add support for keyword arguments in torch.cat
2017-04-11 14:48:54 -07:00
91c4ba7980
Add torch.arange and deprecate torch.range
2017-04-03 10:38:58 -04:00
dfa2d26830
* make random_ range correct when both lower and upper are specified
2017-03-31 15:37:24 -04:00
8dc5d2a22e
export current_blas_handle
2017-03-23 23:32:45 +01:00
bb353ccc17
Add batch triangular factorization and solves, add IntegerTensor to cwrap ( #903 )
2017-03-23 15:06:00 -04:00
faac0f5c25
Fix torch.cat bugs
...
Always use PySequence API and disallow catting along inexistent
dimensions.
2017-03-22 18:58:42 -04:00
379ae6d865
Refactor out dispatchStateless ( #1007 )
...
Some of the error messages were incorrect due to erroneous
'tensor == THPDefaultTensorClass' checks
2017-03-15 16:24:55 -04:00
f17cfe4293
sparse tensor operations ( #735 )
2017-03-03 18:37:03 +01:00
f366e5fc81
Support int16 numpy conversions
...
issue #891
2017-03-02 09:15:57 -05:00
fc6fcf23f7
Lock the cudaFree mutex. ( #880 )
...
Prevents NCCL calls from overlapping with cudaFree() which can lead to
deadlocks.
2017-03-01 11:29:25 -05:00
67f94557ff
Expose torch.HalfTensor
2017-02-27 19:35:47 -05:00
bd5303010d
Refactor autograd package to separate Python dependencies. ( #662 )
...
The core autograd Variable, Function, and Engine no longer depend on the
Python API. This let's us implement functions in C++. In the future, we
can also multithread engine and release the GIL for most of the
non-Python backwards.
2017-02-13 16:00:16 -08:00
712686ce91
Add cat, contiguous, squeeze, and unsqueeze to THPP
...
Use unsqueeze and view from TH/THC
2017-02-11 17:49:31 +01:00
79232c24e2
Fixes after rebase
2017-01-31 01:58:09 +01:00
76520512e7
DataChannel tests rewrite ( #42 ); DataChannel isend and irecv implementation ( #44 )
2017-01-31 01:58:09 +01:00
60d1852c7b
Major improvements to master-worker mode
...
* Fixed all undefined symbol errors
* Implemented storage interface and THStorage class
* RPC improvements
* Code refactor
2017-01-31 01:58:09 +01:00
55632d81d2
Add Python wrappers for process group mode
2017-01-31 01:58:09 +01:00
c414bf0aaf
Fix handling of unicode in torch._C._add_docstr ( #487 )
2017-01-18 17:22:30 -05:00
9302f860ae
Remove unused file TensorDocstrings.cpp ( #481 )
...
Tensor docstrings are created in _tensor_docs.py
2017-01-18 13:34:40 -05:00
8aa8f791fc
add more torch.* and Tensor docs ( #476 )
2017-01-18 08:39:33 -05:00
14d5d52789
Add placeholder tensor documentation for methods that exist in torch. ( #463 )
2017-01-17 19:37:47 -05:00
f91bb96071
Remove cmin, cmax and cinv
2017-01-16 19:07:37 -05:00
bdfef2975c
adding more docs for torch.* functions
2017-01-11 08:19:49 -08:00
59d66e6963
Sparse Library ( #333 )
2017-01-05 00:43:41 +01:00
6b4ed52f10
adding docs for some torch.* functions, removing all, any stateless methods
2017-01-03 18:29:50 -05:00
849794cd2c
Remove deprecated and unimplemented functions ( #383 )
2016-12-30 18:37:44 -05:00
ab5776449c
Add documentation for some torch.xxx functions ( #382 )
2016-12-30 17:01:47 -05:00
9b7eceddc8
Accept outputs in out argument
2016-12-29 12:25:59 +01:00
24af02154c
Use ForkingPickler for sharing tensor/storages across processes ( #344 )
...
This hooks into the (internal) ForkingPickler class in multiprocessing
to reduce tensors, storages, and CUDA events instead of our queue from
joblib. This makes it easier to use the standard multiprocessing classes
in later versions of Python.
This also exposes:
- Tensor/Storage.share_memory_()
- Module.share_memory()
These methods move the CPU tensors and storages to shared memory. If
you're using the "fork" method of multiprocessing, these objects can be
directly inherited instead of serialized through a queue.
2016-12-28 20:34:23 -05:00
126a1cc398
Add Sphinx docs
2016-12-28 00:03:39 +01:00
e46d942ca6
Fix double initialization of HalfStorage ( #331 )
2016-12-19 15:19:41 -05:00
8e09f0590b
Make sure that C extension was compiled with cuDNN before using it
2016-12-15 00:47:55 +01:00
28f0cf6cee
Add docstring support to cwrap ( #295 )
2016-12-11 23:25:14 +01:00
1af9a9637f
Refactor copy and release GIL during copy ( #286 )
2016-12-11 21:54:58 +01:00
0d7d29fa57
Enable caching allocator for CUDA pinned memory ( #275 )
...
Also add binding for CUDA "sleep" kernel
2016-12-02 01:33:56 -05:00
1f5951693a
Change torch.randperm to return Long tensors
2016-12-01 23:14:41 +01:00
3928f7740a
Implement functional interface for Variables (torch.*)
2016-11-08 16:13:25 -05:00
ebc70f7919
Look for libcudart in default CUDA installation paths ( #195 )
2016-11-02 19:36:10 -04:00
f2d7e94948
Use torch.Size for Tensor sizes and tuple for strides
...
See issue #20
The torch.Size class is a tuple subclass which distinguishes sizes from
other tuples so that torch.Tensor(size) is interpreted as size instead
of data.
2016-10-28 19:37:09 +02:00
