| 475 | BENCHMARK again gpu conv paper | | New |
| 495 | rename inv -> recip | james.bergstra | New |
| 64 | enable RSS for Timeline | none | New |
| 86 | anonymous access | none | New |
| 91 | backup using hotcopy | | New |
| 348 | Doublecheck there are no serious errors in documentation | | New |
| 385 | storing tensor types in str | | New |
| 399 | theano to use logging module | | New |
| 400 | lazy linker | | New |
| 401 | conv for seperable kernels | | New |
| 402 | conv unrolling should be automatic (and self-optimizing) | | New |
| 405 | ctrl-C during compilation makes program stuck | | New |
| 408 | conv with vsipl | | New |
| 412 | compiling graphs of sparse is slow. write a c version of {{{SparseConstantSignature.__eq__}}} | | New |
| 413 | add c_header_dirs to CLinkerOp and CLinkerType | bergstra | New |
| 423 | a walkthrough example of how to code something simple in C, using ndarrays. | none | New |
| 429 | loading ModuleCache too soon deletes many entries that it shouldn't | | New |
| 438 | faster math.h functions with -mveclibabi | | New |
| 441 | merging scan operations | | New |
| 445 | n_channels in ConvOp | | New |
| 456 | unflip filters to be more c_contiguous | | New |
| 457 | GpuConv use texture/constant memory | none | New |
| 458 | conv_full_patch_split | none | New |
| 459 | make conv op read/write coalesced by making data aligned | none | New |
| 462 | conv_rows, implement the nb_rows in one block to higher occupency, | none | New |
| 463 | make conv_full_patch_reduce_padded | none | New |
| 466 | Optimize reduce for long reductionsOptimize reduce for long reductions | none | New |
| 470 | CopyFromCudaNdarray needs general version | none | New |
| 472 | Implement reductions: prod, min, max | none | New |
| 473 | Add typenum, support for all dtypes | none | New |
| 474 | recurse on givens argument to function() | | New |
| 477 | document Op.nin and Op.nout | none | New |
| 479 | BENCHMARK: benchmark again eblearn? | | New |
| 480 | Benchmark: others | | New |
| 489 | note the use of transpose v in benchmark | james.bergstra | New |
| 494 | constant shape at build time | none | New |
| 496 | elemwise optimization for T.and, T.or, T.xor, T.le, T.ge | | New |
| 499 | verify subtensor(dot) is optimized | | New |
| 520 | add learn rate annealing to deep learning tutorials | | New |
| 533 | Reorganize functions in tensor and methods of _py_tensor_operators | none | New |
| 534 | Implement the garbage collector for ProfileMode | | New |
| 535 | DebugMode should implement garbage collection | | New |
| 549 | create a script to run nosetests without too much error and with a final Pass/fail result | | New |
| 562 | Review skipped tests | | New |
| 571 | clean all compiledir in the base_compiledir | | New |
| 582 | Follow-up to #573: implement and write tests for io.In(...borrow=True) | | New |
| 584 | CURAND for random streams | none | New |
| 585 | CUSPARSE for GPU sparse Ops | none | New |
| 616 | In test_conv_cuda_ndarray.py, implement test_logical_shapes | | New |
| 639 | support numpy dot semantic | | New |
| 651 | Add theano.tensor.not_ | | New |
| 653 | make gemv and gemm class and optimization work for complex* type | | New |
| 704 | parallel compilation for multi-cpu machines | | New |
| 705 | are deep learning tutorials importable? | | New |
| 706 | wish: "package mode" | | New |
| 708 | scikits.datasets compatibility | | New |
| 784 | Ticket for testing email alerts | | New |
| 789 | Faster toposort | | New |
| 378 | refactor nnet.prepend_<X>_to_each_row | | New |
| 460 | Should we unroll the full patch multiplication when the image and kernel fit in shared memory? | none | New |
| 461 | all GpuConvOp kernel should allow non c_contiguous memory access | none | New |
| 464 | GpuConvOp thread block multiple of 32? | none | New |
| 465 | malloc3d | none | New |
| 467 | Add Conv logical input shapes | none | New |
| 471 | Explore subclass-ability | none | New |
| 492 | create a c_code_signature | | New |
| 497 | Break optimization loop in local_mul_canonizer in a cleaner way | | New |
| 510 | use the warnings module | | New |
| 511 | grad of min,max,max_and_argmax with multiple axis not implemented | | New |
| 515 | Finish the Images2Neibs ops | | New |
| 545 | Implement tensor.jacobian | | Accepted |
| 554 | In object should have a shape parameter | nouiz | assigned |
| 555 | assert_shape function | nouiz | assigned |
| 556 | remove image_shape, and filter_shape from the interface conv2d(). | | New |
| 581 | CpuConv optimization by duplicating memory and calling gemm. | | New |
| 587 | Add theano.len to compute a Variable's symbolic length | | New |
| 589 | Update tests so they do not print deprecation warnings | | New |
| 599 | Implement neibs2image support for neib_step and wrap_centered mode | | New |
| 603 | finish the new convolution with fft | | New |
| 609 | Merge the verify_grad and multiple_outputs_numeric_grad | | New |
| 614 | SparseVariable don't have the sum function implemented | | New |
| 659 | Support use of -1 in reshape on GPU | none | New |
| 703 | better documentation for "numpy backend" | none | New |
| 47 | Website maintenance | none | New |
| 440 | numeric_grad doesn't work with functions that have scalars as input | | New |