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78 Commits

Author SHA1 Message Date
Sergey Zagoruyko
8dc5d2a22e export current_blas_handle 2017-03-23 23:32:45 +01:00
Brandon Amos
bb353ccc17 Add batch triangular factorization and solves, add IntegerTensor to cwrap (#903) 2017-03-23 15:06:00 -04:00
Adam Paszke
faac0f5c25 Fix torch.cat bugs 
Always use PySequence API and disallow catting along inexistent
dimensions.
 2017-03-22 18:58:42 -04:00
Sam Gross
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
Martin Raison
f17cfe4293 sparse tensor operations (#735) 2017-03-03 18:37:03 +01:00
Zhou Chang
f366e5fc81 Support int16 numpy conversions 
issue #891
 2017-03-02 09:15:57 -05:00
Sam Gross
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
Adam Paszke
67f94557ff Expose torch.HalfTensor 2017-02-27 19:35:47 -05:00
Sam Gross
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
Sam Gross
712686ce91 Add cat, contiguous, squeeze, and unsqueeze to THPP 
Use unsqueeze and view from TH/THC
 2017-02-11 17:49:31 +01:00
Adam Paszke
79232c24e2 Fixes after rebase 2017-01-31 01:58:09 +01:00
Janusz Marcinkiewicz
76520512e7 DataChannel tests rewrite (#42); DataChannel isend and irecv implementation (#44) 2017-01-31 01:58:09 +01:00
Adam Paszke
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
Adam Paszke
55632d81d2 Add Python wrappers for process group mode 2017-01-31 01:58:09 +01:00
Sam Gross
c414bf0aaf Fix handling of unicode in torch._C._add_docstr (#487) 2017-01-18 17:22:30 -05:00
Sam Gross
9302f860ae Remove unused file TensorDocstrings.cpp (#481) 
Tensor docstrings are created in _tensor_docs.py
 2017-01-18 13:34:40 -05:00
Soumith Chintala
8aa8f791fc add more torch.* and Tensor docs (#476) 2017-01-18 08:39:33 -05:00
Sam Gross
14d5d52789 Add placeholder tensor documentation for methods that exist in torch. (#463) 2017-01-17 19:37:47 -05:00
Adam Paszke
f91bb96071 Remove cmin, cmax and cinv 2017-01-16 19:07:37 -05:00
Soumith Chintala
bdfef2975c adding more docs for torch.* functions 2017-01-11 08:19:49 -08:00
Zeming Lin
59d66e6963 Sparse Library (#333) 2017-01-05 00:43:41 +01:00
Soumith Chintala
6b4ed52f10 adding docs for some torch.* functions, removing all, any stateless methods 2017-01-03 18:29:50 -05:00
Sam Gross
849794cd2c Remove deprecated and unimplemented functions (#383) 2016-12-30 18:37:44 -05:00
Sam Gross
ab5776449c Add documentation for some torch.xxx functions (#382) 2016-12-30 17:01:47 -05:00
Adam Paszke
9b7eceddc8 Accept outputs in out argument 2016-12-29 12:25:59 +01:00
Sam Gross
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
Sam Gross
126a1cc398 Add Sphinx docs 2016-12-28 00:03:39 +01:00
Sam Gross
e46d942ca6 Fix double initialization of HalfStorage (#331) 2016-12-19 15:19:41 -05:00
Adam Paszke
8e09f0590b Make sure that C extension was compiled with cuDNN before using it 2016-12-15 00:47:55 +01:00
Adam Paszke
28f0cf6cee Add docstring support to cwrap (#295) 2016-12-11 23:25:14 +01:00
Sam Gross
1af9a9637f Refactor copy and release GIL during copy (#286) 2016-12-11 21:54:58 +01:00
Sam Gross
0d7d29fa57 Enable caching allocator for CUDA pinned memory (#275) 
Also add binding for CUDA "sleep" kernel
 2016-12-02 01:33:56 -05:00
Adam Paszke
1f5951693a Change torch.randperm to return Long tensors 2016-12-01 23:14:41 +01:00
Adam Paszke
3928f7740a Implement functional interface for Variables (torch.*) 2016-11-08 16:13:25 -05:00
Adam Paszke
ebc70f7919 Look for libcudart in default CUDA installation paths (#195) 2016-11-02 19:36:10 -04:00
Sam Gross
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
Sam Gross
ad2d413c0b Add C++ bindings for cuDNN (#167) 
The Python ctypes bindings overhead was high enough that it slowed down
multi-gpu training when using 4+ Maxwell GPUs.
 2016-10-26 19:51:48 -04:00
Adam Paszke
9000f40e61 Add torch.from_numpy 2016-10-24 22:30:11 +02:00
Adam Paszke
f137c0c05a Improve error messages of stateless functions 2016-10-24 22:29:43 +02:00
Sam Gross
79ead42ade Add CUDA Stream and Event API (#133) 2016-10-18 12:15:57 -04:00
Sam Gross
3931beee81 Use THSetNumThreads instead of omp_set_num_threads 
Set OMP num threads to one in the data loader.

Fixes #81
Fixes #82
 2016-10-17 15:15:00 -04:00
Sam Gross
ee14cf9438 Add support for pinned memory: (#127) 
torch.Storage/Tensor.pin_memory()
 torch.Storage/Tensor.is_pinned()
 2016-10-15 18:38:26 -04:00
Soumith Chintala
3d6ebde756 qr and ormqr tests and bugfix 2016-10-14 03:10:16 -04:00
Adam Paszke
0325e2f646 Major autograd refactor 
Improves autograd performance by more than 2x and fixes a couple
of bugs. All core functions have been moved to C.
 2016-10-13 17:17:49 -07:00
Adam Paszke
2acee24332 Add keyword argument support to most tensor functions 2016-10-13 12:32:04 -04:00
Adam Paszke
96f61bff30 Add LAPACK functions 2016-10-08 20:37:37 -07:00
Adam Paszke
dbe540e49f Use the custom TH error handler in all threads by default 2016-09-30 14:59:50 -07:00
Adam Paszke
3f7ab95890 Finish implementation of prng related functions 2016-09-29 11:33:25 -07:00
Adam Paszke
941cf4e63d Add ffi utils for user C extensions 2016-09-29 09:35:56 -07:00
Adam Paszke
1828e7c42f Add async CUDA copy 2016-09-27 15:12:48 -07:00