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https://github.com/Microsoft/CNTK
10 March 2023, 01:01:58 UTC
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Revision Author Date Message Commit Date
5c3f708 Mark Hillebrand 18 January 2016, 08:36:30 UTC License change 18 January 2016, 08:36:30 UTC
1143418 Marko Radmilac 29 December 2015, 18:59:54 UTC fix format 29 December 2015, 18:59:54 UTC
1893322 Marko Radmilac 29 December 2015, 18:47:32 UTC add outputs 29 December 2015, 18:47:32 UTC
d7f0c07 Frank Seide 24 December 2015, 11:04:44 UTC deleted virtual function ComputationNode::InferImageDimsFromInputs() since no longer needed after update of tensor-dim inference. Unary zip ops just copy the layout from their input, and binary zip ops take dimension-wise max (to consider broadcasting) 24 December 2015, 11:04:44 UTC
c7a0b62 Frank Seide 24 December 2015, 09:48:25 UTC bug fix: SimpleNetworkBuilder::AddTrainAndEvalCriterionNodes() should not compute 'tinput' for certain training-criterion nodes because 'input' has a different meaning for those; revived BatchSequenceReader, now supports MBLayout::AddSequence() 24 December 2015, 09:48:25 UTC
9b8a508 Frank Seide 24 December 2015, 07:58:23 UTC bug fix: ConvolutionNode must not ever change m_sampleLayout numChannels dimension 24 December 2015, 07:58:23 UTC
ff0a801 Frank Seide 24 December 2015, 07:11:40 UTC fixed numRows test for 0 dimensions 24 December 2015, 07:11:40 UTC
086e62f Frank Seide 24 December 2015, 07:02:37 UTC removed SetDims(size_t,cols) which only set m_numRows. Now, row dimension can only be set together with the sample layout, and in debug builds they are verified against each other 24 December 2015, 07:02:37 UTC
9f08610 Frank Seide 24 December 2015, 06:29:50 UTC (minor fix of last commit) 24 December 2015, 06:29:50 UTC
bf35c75 Frank Seide 24 December 2015, 06:23:20 UTC inlined all InferImageDimsFromInputs() calls in ConvolutionNodes.h. This allowed to use SetDims(TensorShape,cols) instead of setting numRows and sampleLayout separately 24 December 2015, 06:23:20 UTC
d5fd84f Frank Seide 24 December 2015, 06:12:24 UTC removed m_inputSampleLayout. It is only used in ConvolutionNodes.h, and is identical to the input's sample layout, so we can get it where we need it from the input directly 24 December 2015, 06:12:24 UTC
6a69048 Frank Seide 24 December 2015, 05:33:16 UTC changed former InferImageDimsFromInput(index) to a getter that just reads out the layout from the child, and all calls to this now assign it manually to the (input)SampleLayout variables, in quest of removing m_inputSampleLayout altogether 24 December 2015, 05:33:16 UTC
0864a8c Frank Seide 24 December 2015, 05:12:51 UTC split up InferImageDimsFromInput() into false and true versions 24 December 2015, 05:12:51 UTC
db4c5ea Frank Seide 24 December 2015, 04:48:08 UTC SetDims(node) now also clones that node's m_sampleLayout 24 December 2015, 04:48:08 UTC
166536b Frank Seide 24 December 2015, 04:46:36 UTC Merge branch 'master' of https://git.codeplex.com/cntk into fseide/tensors 24 December 2015, 04:46:36 UTC
df6c25e Frank Seide 24 December 2015, 04:45:43 UTC sorted out various SetDims() calls, towards using SetDims() only to set both m_numRows and m_sampleLayout jointly 24 December 2015, 04:45:43 UTC
dfd780a Frank Seide 24 December 2015, 04:21:27 UTC cleaning up order of Validate(): MBLayout is now set first, and SetDim() and InferImageDimsFromInput() are grouped (they will get merged) 24 December 2015, 04:21:27 UTC
5829d3d Frank Seide 24 December 2015, 03:11:28 UTC (added a perf comment) 24 December 2015, 03:11:28 UTC
6418994 Frank Seide 24 December 2015, 02:27:27 UTC enabled ScaleNode::BackpropTo to use tensor lib; merged with master 24 December 2015, 02:27:27 UTC
3f721d1 Alexey Kamenev 24 December 2015, 00:59:18 UTC Updated ResNet sample. 24 December 2015, 00:59:18 UTC
87096d4 Alexey Kamenev 24 December 2015, 00:44:11 UTC Added ResNet ImageNet samples. 24 December 2015, 00:44:11 UTC
44e7343 Frank Seide 23 December 2015, 23:29:34 UTC merged from master 23 December 2015, 23:29:34 UTC
28ffb10 Frank Seide 23 December 2015, 23:20:40 UTC changed TensorShape editing functions to in-place, to avoid more mem copying; disabled the mapping of ScaleNode, RowElementTimesNode, and ColumnElementTimesNode for now because we see a perf hit with Scale. Reenable once that is solved 23 December 2015, 23:20:40 UTC
a590e5e Frank Seide 23 December 2015, 22:44:24 UTC more optimizations of PrepareTensorOperands() aimed at reducing memory copies and mallocs 23 December 2015, 22:44:24 UTC
fd9e792 Alexey Kamenev 23 December 2015, 21:49:20 UTC Updated ResNet sample. 23 December 2015, 21:59:31 UTC
02f1f56 Alexey Kamenev 23 December 2015, 21:44:36 UTC Updated samples, remove bogus restriction from conv and pool nodes. 23 December 2015, 21:46:10 UTC
05af287 Alexey Kamenev 23 December 2015, 17:44:10 UTC Updated image samples. 23 December 2015, 21:46:00 UTC
0e880c2 Frank Seide 23 December 2015, 21:38:13 UTC some simplification of tensor-shape building, but no measurable speed impact; GetSampleShape() changed to GetAndValidateSampleLayout() which no longer makes up TensorShapes but rather enforces that m_sampleLayout is consistent and plausibly set up. Avoids a copy 23 December 2015, 21:38:13 UTC
42a027f Jasha Droppo 23 December 2015, 20:45:59 UTC Merge branch 'master' into CUDA-elementwise-rework Conflicts: Source/Math/GPUMatrix.cu Source/Math/GPUSparseMatrix.cu 23 December 2015, 20:45:59 UTC
ecbc649 Jasha Droppo 23 December 2015, 20:36:38 UTC CUDA making sure older sigmoid kernel is used for AssignSigmoidOf() 23 December 2015, 20:36:38 UTC
788b1d3 Frank Seide 23 December 2015, 19:20:16 UTC undid last stdafx.h uncomment, did not work 23 December 2015, 19:20:16 UTC
7c9a991 Frank Seide 23 December 2015, 17:18:07 UTC commented out all #include "stdafx.h" as it caused build errors without a meaningful error message that would point out which file is wrong 23 December 2015, 17:18:07 UTC
81eeff1 Frank Seide 23 December 2015, 08:39:38 UTC added a#ifndef _CRT_SECURE_NO_WARNINGS to several stdafx.h 23 December 2015, 08:39:38 UTC
af84f92 Frank Seide 23 December 2015, 08:30:59 UTC bug fix: ElementTimes::BackpropTo() in the TensorView prototype did not mask gaps correctly 23 December 2015, 08:30:59 UTC
279a653 Frank Seide 23 December 2015, 08:17:01 UTC added a missing _CRT_SECURE_NO_WARNINGS 23 December 2015, 08:17:01 UTC
e551995 Frank Seide 23 December 2015, 08:05:09 UTC updated NoGPU.cpp re TensorOp()/SmallVector 23 December 2015, 08:05:09 UTC
8856f49 Frank Seide 23 December 2015, 07:58:49 UTC all tensor ops are now available in three variants: DoOpOf(), AssignOpOf(), and AddOpOf(); SigmoidNode prototype with tensor lib for gradient as well 23 December 2015, 07:58:49 UTC
5040ff7 Frank Seide 23 December 2015, 07:18:24 UTC reimplemented SmallVector without dynamic memory allocation--10% faster for small minibatches, same speed as without tensor lib 23 December 2015, 07:18:24 UTC
beda4ef Frank Seide 23 December 2015, 06:25:50 UTC changed TensorShape to use new class SmallVector<> instead of std::vector, which is meant to avoid dynamic memory allocations 23 December 2015, 06:25:50 UTC
283f22d Frank Seide 23 December 2015, 05:36:54 UTC new CUDA-efficient Sigmoid() implementation as suggested by Jasha 23 December 2015, 05:36:54 UTC
fb3dae2 Frank Seide 23 December 2015, 04:28:21 UTC prototypical implementation of Sigmoid ForwardProp() using the tensor lib; special optimization for linear-scan unary tensor operations (most frequent case); adjusted the threshold for the Sigmoid() tensor op to reduce probability of thread divergence (thresholding at 0 will give a 50:50 split, doubling runtime). Still a overall 10% slower than old kernel, not clear why 23 December 2015, 04:28:21 UTC
cd87741 Frank Seide 23 December 2015, 01:37:11 UTC merged with master 23 December 2015, 01:37:11 UTC
d717aa0 Frank Seide 23 December 2015, 01:34:10 UTC undid previous heuristic, and instead changed the condition in RowSliceNode to not fail if the input is really a vector in image disguise (as one would load from old model files); made gcc happy, suddenly it no longer liked to match the template of TensorOpN() 23 December 2015, 01:34:10 UTC
0eed21c Yongqiang Wang 22 December 2015, 23:49:02 UTC Fix a bug in RowSlice node (support legacy model format) 22 December 2015, 23:49:02 UTC
bdfcf91 Frank Seide 22 December 2015, 23:04:52 UTC added a heuristic to TensorShape::Load() that allows to read old models created when sample layouts were not fully consistent 22 December 2015, 23:04:52 UTC
644c470 Frank Seide 22 December 2015, 22:35:19 UTC new class GridDim to centralize computation of grid dimensions 22 December 2015, 22:35:19 UTC
58b8afb Alexey Kamenev 22 December 2015, 21:58:25 UTC Updated AlexNet and VGG sample configs. 22 December 2015, 21:59:40 UTC
9602bdd Alexey Kamenev 22 December 2015, 21:52:40 UTC Updated image samples. 22 December 2015, 21:54:18 UTC
e8c4e8f Frank Seide 22 December 2015, 20:47:01 UTC minor optimization of tensor CUDA kernel 22 December 2015, 20:47:01 UTC
12a0c2e Frank Seide 22 December 2015, 09:49:09 UTC made gcc happy (two-phase name lookup) 22 December 2015, 09:49:09 UTC
85c186f Frank Seide 22 December 2015, 09:46:50 UTC (comments) 22 December 2015, 09:46:50 UTC
71cb56c Frank Seide 22 December 2015, 09:43:59 UTC all BackpropTo() overloads from derived classes of NonlinearityNodeBase are now removed, code is cleaner and regular; brought back Validate() of DropoutNode, why did it go missing? 22 December 2015, 09:43:59 UTC
33e58f3 Frank Seide 22 December 2015, 09:32:21 UTC further unified BackpropToV(), close to being ready to remove the dups 22 December 2015, 09:32:21 UTC
3ecbc8a Frank Seide 22 December 2015, 09:13:20 UTC removed ScaleNode, RowElementTimesNode, and ColumnElementTimesNode if ENABLE_TENSORVIEW is #defined 22 December 2015, 09:13:20 UTC
b297b6d Frank Seide 22 December 2015, 09:01:00 UTC made NonlinearityNodes.h a little more regular and removed some left-overs 22 December 2015, 09:01:00 UTC
5301b18 Frank Seide 22 December 2015, 07:43:59 UTC prototypically implemented ScaleNode, RowElementTimesNode, and ColumnElementTimesNode just as ElementTimesNode with tensor lib (broadcasting), by hacking the name mapping 22 December 2015, 07:43:59 UTC
d17a011 Frank Seide 22 December 2015, 07:10:52 UTC imlemented MinusNode and ElementTimesNode with tensor lib; changed aggregation in tensor lib to use double instead of ElemType; replaced ValueForToDense() by dong the same thing in BinaryElementwiseNode::BeginForwardProp() 22 December 2015, 07:10:52 UTC
90387f0 Frank Seide 22 December 2015, 06:36:15 UTC moved MinusNode and ElementTimesNode to derive from BinaryElementwiseNode; added missing 'override's 22 December 2015, 06:36:15 UTC
757509c Frank Seide 22 December 2015, 06:14:13 UTC created a new standard base class BinaryElementwiseNode, to implement PlusNode and friends. PlusNode first got the treatment, others will follow 22 December 2015, 06:14:13 UTC
3369234 Frank Seide 22 December 2015, 06:00:05 UTC new #define ENABLE_TENSORVIEW; new methods ComputationNode::ValueTensorFor() and GradientTensorFor(). Makes PlusNode much easier 22 December 2015, 06:00:05 UTC
782a100 U-FAREAST\fseide 22 December 2015, 03:03:47 UTC merge branch 'master' of https://git.codeplex.com/cntk into fseide/tensors 22 December 2015, 03:03:47 UTC
dfd7b39 Frank Seide 22 December 2015, 03:02:27 UTC first prototype of gradient using tensor lib 22 December 2015, 03:02:27 UTC
152054c Frank Seide 22 December 2015, 02:10:23 UTC bug fix in InputValueBase: now initializes and deserializes tensor dimensions correctly; bug fix: RowSliceNode now tests Input(0) layout directly since we no longer infer the input layout 22 December 2015, 02:10:23 UTC
24df1c1 Frank Seide 22 December 2015, 01:26:25 UTC partial cleanup of sample layouts: ComputationNodeBase::GetSampleShape() now uses m_sampleLayout; added an overload for ComputationNode::SetDims() that takes a TensorShape and sets both m_sampleLayout and m_numRows from it; changed all sample layouts that were set/inferred to something resembling a vector to a 1-dim tensor. This may break code, as the old code would put the vector dimension into the third index. I presume that the old behavior is the bug; bug fix in RowSlice: it inferred the tensor dimension as if we were slicing the first tensor dimension, which we are not. RowSlice() now only allows actual vectors as inputs 22 December 2015, 01:26:25 UTC
49ab831 Frank Seide 21 December 2015, 23:54:08 UTC refactored the GetTensorsForwardBinary() prototype implementation to be more general; prototypical implementation of gap masking with the new tensor lib (not enabled yet) 21 December 2015, 23:54:08 UTC
8add7ee Frank Seide 21 December 2015, 21:58:50 UTC cleaned up DropoutNode 21 December 2015, 21:58:50 UTC
1527b89 Philipp Kranen 21 December 2015, 10:30:43 UTC Adapted Readme files wrt new directory structure 21 December 2015, 10:30:43 UTC
9cf0f3d Frank Seide 19 December 2015, 08:15:55 UTC Merge branch 'master' of https://git.codeplex.com/cntk into fseide/tensors 19 December 2015, 08:15:55 UTC
2fc5fa9 Frank Seide 19 December 2015, 08:15:32 UTC bug fix: ComputationNode::GetTensorsForwardBinary() made a copy instead of taking a reference to the matrix 19 December 2015, 08:15:32 UTC
835b319 Amit Agarwal 19 December 2015, 07:03:20 UTC Use only 2 threads for CPUMatrix::SetValue as this is a memory bound operation and use of large number of threads does not help but instead hurts in case of parallel training where this causes oversubscription. 19 December 2015, 07:03:20 UTC
d1752e1 Frank Seide 19 December 2015, 07:01:22 UTC log messages to see where it fails in Jenkins 19 December 2015, 07:01:22 UTC
775458f Frank Seide 19 December 2015, 05:36:56 UTC bug fix: wrong index bounds in TensorOpReduce 19 December 2015, 05:36:56 UTC
61df8fe Frank Seide 19 December 2015, 04:35:16 UTC fixed a warning in Windows Release build; fixed CPUONLY build (TensorOp() missing in NoGPU.cpp) 19 December 2015, 04:35:16 UTC
4da5273 Frank Seide 19 December 2015, 04:02:29 UTC disabled the prototypical use of the new tensor addition in the PlusNode again 19 December 2015, 04:02:29 UTC
b98855a Frank Seide 19 December 2015, 03:59:26 UTC tensor library works in PlusNode prototype implementation() which reduces ForwardProp() to two lines of code; bug fix: GetTensorsForwardBinary() ignored #samples in FrameRange; bug fix: TensorView cannot hold a reference to a Matrix object since these are often temporaries. Instead, we copy a Matrix object that itself is a reference; deleted orphaned ClassDiagram.cd from Math Project 19 December 2015, 03:59:26 UTC
9fe02f9 Frank Seide 19 December 2015, 03:59:26 UTC Merge branch 'master' of https://git.codeplex.com/cntk into fseide/tensors 19 December 2015, 03:59:26 UTC
befdf9d Frank Seide 19 December 2015, 02:17:41 UTC GPU version of tensor ops passes the simple tests now 19 December 2015, 02:17:41 UTC
57ddd12 Frank Seide 19 December 2015, 01:59:44 UTC CUDA implementation for tensor ops complete, but not computing the right thing 19 December 2015, 01:59:44 UTC
ef80d86 Alexey Kamenev 18 December 2015, 23:41:59 UTC Updated Linux baselines. 18 December 2015, 23:42:35 UTC
cf7fc9f Alexey Kamenev 18 December 2015, 23:17:49 UTC Updated baselines for cuDNN. 18 December 2015, 23:42:35 UTC
b2fb4d0 Frank Seide 18 December 2015, 23:00:05 UTC added plumbing for tensor operations to GPUMatrix.cu, but have not implemented an acty; implemented row-major conversion in GPUMatrix::SetValue() (on the CPU, so not maximally efficient) 18 December 2015, 23:00:05 UTC
3a6ea21 Frank Seide 18 December 2015, 21:31:26 UTC Merge branch 'master' of https://git.codeplex.com/cntk into fseide/tensors 18 December 2015, 21:31:26 UTC
c343e98 Frank Seide 18 December 2015, 21:30:33 UTC further optimized the most frequent tensor loops (1-stride loops for unary and binary ops), but still not seeing 4-way SSE parallelism 18 December 2015, 21:30:33 UTC
9d33fc1 Frank Seide 18 December 2015, 18:55:30 UTC added a specialization of a tensor op for inner dimensions where all strides are 1. Seems not quite enough for really efficient unrolling though 18 December 2015, 18:55:30 UTC
1a1bd17 Frank Seide 18 December 2015, 18:01:17 UTC bug fix: ComputationNode::DetermineNumCols() was an outdated pre-refactoring hold-over with a now incorrect validity check. Can just be removed, Should fix reported by user xiaoqing; removed unnecessary ad inconsistent use of 'this->' throughout Matrix.cpp, also fixed some bad indentations 18 December 2015, 18:01:17 UTC
1f26215 Alexey Kamenev 17 December 2015, 20:31:17 UTC Fixed mbStart in ImageReader for distributed case. 18 December 2015, 17:29:40 UTC
b8de2fe Alexey Kamenev 17 December 2015, 02:52:17 UTC Added support for distributed reading in ImageReader. 18 December 2015, 17:29:30 UTC
6e20025 Frank Seide 18 December 2015, 16:57:49 UTC Merge branch 'master' of https://git.codeplex.com/cntk into fseide/tensors 18 December 2015, 16:57:49 UTC
91eadb0 Frank Seide 18 December 2015, 16:54:19 UTC moved all tensor ops to a new header TensorOps.h so they can be shared between matrix types; also moved the float/double-unified math overloads (e.g. exp_()) there, as well as additional typically needed functions such as Sigmoid() 18 December 2015, 16:54:19 UTC
679c3c5 Mark Hillebrand 15 December 2015, 12:39:43 UTC Source/Readers/LMSequenceReader/: also build SequenceWriter on Linux 18 December 2015, 11:59:40 UTC
12e312f Frank Seide 18 December 2015, 08:17:45 UTC Merge branch 'master' of https://git.codeplex.com/cntk into fseide/tensors 18 December 2015, 08:17:45 UTC
f54e1fe Frank Seide 18 December 2015, 08:07:59 UTC implemented unary and ternary tensor ops. CPU implementation of elementwise tensor ops is feature complete (but may require optimization) 18 December 2015, 08:07:59 UTC
7d32cdf Frank Seide 18 December 2015, 06:41:19 UTC implemented all binary tensor operators (don't we love macros!) 18 December 2015, 06:41:19 UTC
83e5bbc Qiwei Ye 18 December 2015, 04:38:39 UTC Revert "Revert "adding an MPI init test in case of that MPI was initialized repeatedly"" This reverts commit 23ebe452a5e35dddfba2d08e8fb3265901bfc8af. 18 December 2015, 04:38:39 UTC
928da88 Frank Seide 18 December 2015, 01:04:55 UTC first version of CPU implementation of TensorView::DoSumOf() working now 18 December 2015, 01:04:55 UTC
38cb2fa Frank Seide 18 December 2015, 00:14:54 UTC bug fix in MBLayout: We should not guard against all parallel sequences having a gap at a time step, as that happens in truncated BPTT, and it would be much more complex to fix the reader, so we allow it 18 December 2015, 00:14:54 UTC
aa5d1a7 Frank Seide 17 December 2015, 23:50:00 UTC implemented plumbing and first shot for TensorView operation with reduction 17 December 2015, 23:50:00 UTC
8588af4 Frank Seide 17 December 2015, 19:35:54 UTC Merge branch 'master' of https://git.codeplex.com/cntk into fseide/tensors 17 December 2015, 19:35:54 UTC
e6040d0 Frank Seide 17 December 2015, 19:35:28 UTC made Linux build happy (missing explicit method template specialization of CPUMatrix<char>::Resize()) 17 December 2015, 19:35:28 UTC
bb6fc1b Frank Seide 17 December 2015, 19:33:52 UTC optimized MBLayout::InitAsFrameMode(), short-replacing calls to AddSequence() by a much simpler direct initialization for this special case; added editing functions to TensorShape, and rewrote TensorView::DoBinaryOpOf() to use them 17 December 2015, 19:33:52 UTC
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