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Revision Author Date Message Commit Date
3cef1fd fix python 27 onnx test 28 October 2018, 17:22:07 UTC
1ff5548 Set linux pip install future version to 0.16.0 * This was not set explicitly. Lately the version was updated to 0.17.0 and is causing failure in CI. 26 October 2018, 17:40:01 UTC
0b41602 Update more baseline affected by fixing InvStdDev. 26 October 2018, 00:43:52 UTC
e940605 Support ONNX Scan op 20 October 2018, 04:36:21 UTC
a55e871 Fix InvStdDev. * Issue was that AssignSqrOfDifferenceOf(beta, input, mean, alpha) assigns mean value to the gaps in input. These values are then reduced within this function, leading to incorrect results. The fix is to execute assign and reduce separately, and mask gaps to zero again before reducing. * Update test baseline affected by this change (err is lowered by <1%). 19 October 2018, 17:24:11 UTC
0ffdcf7 Overhaul node name export & other fixes * Overhaul node name export. Create static class UniqueNodeNameStorage to manage ONNX node name generation with maintained one-to-one mapping between CNTK Uid, while preserving the original CNTK node name by best efforts (#3358). * Update onnx_op_test to test the preservation of original CNTK node names in exported/imported models. * Update onnx_test_helper to support proper linking of test data and onnx model input/output with unique names. * Update onnx_test_helper to generate .bat file to run exported models in further onnxruntime verification. * Fix Sum import to support arbitrary number of inputs. Sum implementation in CNTK backend is loop of Plus, which takes care of potential broadcast issues. 18 October 2018, 01:36:48 UTC
da2e610 Replaced wchar/wstring with char/string in C interface 12 October 2018, 21:12:23 UTC
149d87b Adding ONNX export support for OneHotOp. 05 October 2018, 21:06:56 UTC
6063866 Merge branch 'bowbao/pooling_pad_offset' 02 October 2018, 03:41:06 UTC
bf37aad Fix pad offset computation for pooling * Compute keyInterior according to the updated algorithm for computing cell offset key. * Update unittest of avg_pooling/max_pooling for cases that requires auto_padding = True. Previous test cases cover only those that do not need padding. 02 October 2018, 00:21:30 UTC
7c838d3 fix csharp examples and references 01 October 2018, 22:45:13 UTC
fcdeef6 Support crop_manual export & import. 29 September 2018, 20:46:17 UTC
a36fae8 Support logPlus(log_add_exp) export to ONNX * ONNX supports similar op ReduceLogSumExp. Conversions are added when exporting. * Refactored CNTKToONNXHelper::BroadcastInputsIfNeeded to support more generalized cases. 28 September 2018, 22:59:55 UTC
c2072cc Add support for ONNX export of StraightThrough op. 27 September 2018, 17:25:11 UTC
1aab76a Updating ONNX submodule hash to include defs for ConstantLike and EyeLike ops. 27 September 2018, 01:01:34 UTC
ce503f8 pooling export fix for backward compatibility 26 September 2018, 00:09:39 UTC
9165fd0 Merge branch 'kedeng/fixCrash' 25 September 2018, 00:26:34 UTC
58f810f update with ONNX1.3 and latest onnxruntime 22 September 2018, 16:53:27 UTC
1489de8 Fix a crash in transpose_times simplification to element times 22 September 2018, 05:33:41 UTC
93cc680 Update reshapeing_test to accomodate python 2.7 21 September 2018, 17:24:57 UTC
d626c2a Merge branch 'bowbao/gather_backward' 21 September 2018, 05:02:57 UTC
da6b0bc GatherNode backward: add check for no dynamic axis Previously, to resolve issue of gather producing incorrect gradient values, validity mask check was added to ensure we don't count non-valid cells as 0. However, this check is needed only for input that has dynamic axis, i.e. inputs that have MBLayout. 20 September 2018, 21:54:39 UTC
b2c28cc updating iteration documentation file 20 September 2018, 21:39:58 UTC
0a3eb3b Update onnx_model_test with tests on cntk pretrained models 19 September 2018, 18:27:55 UTC
6f09c39 Merge branch 'release/2.6' 18 September 2018, 02:33:30 UTC
4ed1896 set public_build to "no"/false 17 September 2018, 23:10:48 UTC
1be3b64 update readme for .net support 15 September 2018, 01:07:45 UTC
d355c1c Updated current_iteration with .net support 14 September 2018, 20:07:24 UTC
04caa9d Updated current_iteration with .net support 14 September 2018, 19:29:51 UTC
7c1b0fa udpate readme with current iteration 14 September 2018, 00:01:45 UTC
da31ba0 Update current_iteration.md 13 September 2018, 23:57:44 UTC
e4d7081 Update current_iteration.md. 13 September 2018, 23:57:30 UTC
4f965aa update version # in cntk_common.cmake 13 September 2018, 23:34:30 UTC
82d350d bump up version number 13 September 2018, 22:52:47 UTC
d264a26 Update current_iteration.md 13 September 2018, 20:44:42 UTC
be28e86 Update current_iteration.md. 13 September 2018, 18:18:53 UTC
deda94b Support pooling(cpu) where kernel center is on pads. - Previous implementation has the assumption that (0 <= dk < width). This assumption doesn't stand when lo >(kernel - 1) / 2. The updated calculation supports arbitrary lo & hi non-negative integer value. The new calculation has dk in range (0, width + hi + lo]. - Enables onnx backend test {averagepool_2d_pads, maxpool_2d_pads} to pass. 13 September 2018, 04:37:21 UTC
62e18f4 Improve clarity in pads calculation for conv/pool - Refactor function CalcPaddingForSameLowerOrUpperAutoPad in conv/pool import, changing parameter "const Variable& input" to "const NDShape& inputWithBatchAxisShape", to specify the required shape format as [N x C x H x W]. 13 September 2018, 04:37:21 UTC
35e3701 Merge branch 'sedymche/onnx-min-max' 13 September 2018, 02:42:25 UTC
d33b7b4 update iteration plan 13 September 2018, 00:24:45 UTC
6a4ec05 Merge branch 'peykash/batchnorm_and_pooling_fixes' 13 September 2018, 00:13:46 UTC
61d7dab Support more than 2 inputs for ONNX Min/Max import. 12 September 2018, 22:12:14 UTC
8b48976 Adding CNTK 2.6 release work summary to current_iteration.md 12 September 2018, 18:12:10 UTC
b374e14 fixes on Batchnorm and Pooling for v1 pretrained models after removal of sequence axis from input 12 September 2018, 17:02:52 UTC
5897265 small patch on conv/pooling export - when pads are all zero, check if autopad is true. - when pads are all zero, check if ceilOutDim is true, and extra cells are needed. 11 September 2018, 15:52:22 UTC
61572e8 Update onnx_model_test skip list 11 September 2018, 15:51:45 UTC
0754b38 update onnx_model_test with tests from onnx backend test 09 September 2018, 20:53:26 UTC
2f52f22 update conv/convtranspose/pooling import. pad values are explicitly computed based on ONNX spec equations during import in the following cases: - case 1: when auto_pad is SAME_UPPER | SAME_LOWER for convolution, convolution transpose and pooling. - case 2: when output_shape is explicitly set for convolution transpose. note: output_shape in ONNX spec can have the two below format: 1. [X1 * X2 * ... * Xn] 2. [N * O * X1 * X2 * ... * Xn] 09 September 2018, 20:41:04 UTC
d877233 Make broadcast ops compitable between CNTK and ONNX, Enable ONNX export/import for optimizedRNN op, More ONNX support for Sequence ops 09 September 2018, 15:59:33 UTC
fcf9f48 Overhaul conv/convTrans/pooling pads value export - Update exporting of conv/pooling to always export pad values. - Enable correct exporting of multiple pretrained models (ResNet50/ResNet101/ResNet152_ImageNet_Caffe, etc). - Overhaul convtranspose pads exporting - Support conv weight export with omitted out channel axis (LRN). - Add tests in onnx_op_test to cover the above changes 06 September 2018, 18:46:14 UTC
e3a1acf Resolve dependencies and build issues -Temporary add importorskip around import onnx -bump up .yml matplotlib version 05 September 2018, 22:02:23 UTC
dc5e482 fix onnx average pooling export. - this fix solves the issue that ceilOutDim == true will enforce exporting auto_pad as true, even if autoPadding is explicitly set to false. 31 August 2018, 01:19:04 UTC
77a8c49 Temporarily skip onnx_model_test if import onnx fail 30 August 2018, 17:52:53 UTC
94a43ed Merge branch 'liqun/liqun/RNN2.6.Stage' 30 August 2018, 07:40:20 UTC
73cd53e fix nightly issues related to onnx dependencies - Windows OOBE (pip) tests & Linus OOBE tests: skip onnx_model_test. This test requires onnx to be installed. Skip Until we decide to add onnx dependencies to OOBE test environment. 30 August 2018, 00:19:19 UTC
18d9f39 skip dynamic axes wrapper, export onnx test cases, handle output op being Combine op, workaround a specific case bug of ONNX bidirectional broadcast shape inference 29 August 2018, 23:52:58 UTC
902f1a4 times export fix 29 August 2018, 17:09:07 UTC
b86fe1a Merge branch 'pull/3374' 28 August 2018, 07:17:54 UTC
1f2e42e Merge branch 'sptiwari/convtranspose_update7' 27 August 2018, 07:32:33 UTC
edc29f8 Packaging newly-added internal header files Recently, we added a couple of new header files into API/Internals. This patch includes them into our pre-built binaries. 27 August 2018, 04:36:04 UTC
b3c0fa2 Overhaul ConvTranpose to match ONNX 1.2.2. spec. 27 August 2018, 04:20:05 UTC
7dd9638 squash of the following changes: - fix flatten onnx export. - fix unsqueeze onnx export. - add comments on temporarily skipped tests. - adjust the importing of softmax, logsoftmax and hardmax with blockfunction - such that they could be exported as is back to onnx. - update reshape onnx export to pass mobilenet round trip test. 26 August 2018, 20:11:44 UTC
0e20836 CNTK splice allows broadcast. This case is handled in the change. For noop (identity) ops, its inputs and outputs types shall be set according to upstream ops. ToBatch/ToSequence and Unpack Batch/Sequence ops added during model importing need tp be skipped. Model import need to handle ops with multiple outputs 26 August 2018, 15:41:20 UTC
4a6238d reduction all axes export fix 24 August 2018, 17:02:34 UTC
d2ff412 temporarily disable 2 tests on Windows. - This is due to an issue on Windows CI introduced by adding onnx dependencies. These tests are temporarily disabled to not block CI while we investigate. - Disable CNTKv2Python/Tutorial/205 - Disable CNTKv2Python/Keras 24 August 2018, 08:27:45 UTC
88d8882 Fix issue#3228 and #3363 which found when build with MSVC+ permissive- 24 August 2018, 05:56:36 UTC
a26e542 update conftest.py to resolve doctest issue. - newer version numpy has a different print format for arrays and scalars that would potentially break the doctests. 24 August 2018, 04:28:06 UTC
28ada96 update python doctest handling newer version numpy print format. 23 August 2018, 06:21:13 UTC
56ef694 add onnx_model_test.py 23 August 2018, 06:21:13 UTC
c0ff1da fix gemm, pooling export to onnx. 23 August 2018, 06:19:18 UTC
4244320 Adding support for exporting CNTK TimesTranspose 22 August 2018, 18:33:55 UTC
3d809bf Added several internal API header files In case other projects may use these header files, we added them into API/Internals. * ComputationGraphAlgorithms.h was moved from Source/ComputationNetworkLib * PrimitiveOpType.h and EvaluatorWrapper.h were moved from Source/CNTKv2Library * PrimitiveFunctionAttribute.h was extracted from PrimitiveFunction.h. It contains a new class PrimitiveFunctionAttribute which is the collection of all attribute names for PrimitiveFunction. This change actually had a subtle side-effect. We had a global static variable s_stateAttributes that depended on PrimitiveFunction::AttributeNameRngSeed and PrimitiveFunction::AttributeNameRngOffset. After we moved those static attribute-variables into another translation unit, s_stateAttributes can be initialized with empty wstring, because PrimitiveFunctionAttribute::AttributeNameRngSeed PrimitiveFunctionAttribute::AttributeNameRngSeedOffset were initialized after s_stateAttributes. Note that the initialization order of global static variables is not well-defined cross translation units. To fix the issue, we also moved s_stateAttributes into PrimitiveFunctionAttribute class, and renamed it to s_rngStateAttributes. I think it's reasonable to consider s_rngStateAttributes to be part of the PrimitiveFunctionAttribute class. * PrimitiveFunction.h was moved from Source/CNTKv2Library 22 August 2018, 17:47:18 UTC
8a244e6 fix onnx_op_test.py reduce ops. - remove bracket around data to match latest verification. 21 August 2018, 21:23:28 UTC
b36347b Fix legacy test 21 August 2018, 19:38:26 UTC
db41aeb Merge branch 'bowbao/onnx_reduce_allaxes' 21 August 2018, 17:05:14 UTC
4bbb245 Merge branch 'liqun/TopKStage' 21 August 2018, 03:47:21 UTC
1706da2 Inject TEST_TAG env var into test containers 20 August 2018, 23:57:38 UTC
0e57d20 fix reduce ops for onnx export/import with all_static_axes() and all_axes(). 20 August 2018, 21:48:42 UTC
ee2fa5e Correctly calling tolower or towlower 20 August 2018, 21:32:08 UTC
3328f82 update onnx_backend_test.py skipped models and ops. 20 August 2018, 18:57:52 UTC
3a35b6f pedantic option cannot be ignored -pedantic options is not an option that can be ignored. GCC 6.x and above issued warnings (and hence errors) while building CNTK: error: pedantic is not an option that controls warnings. 17 August 2018, 22:09:40 UTC
1a572f8 ONNX support of TopK 17 August 2018, 20:01:47 UTC
9040c9d Build c# test dlls in sequence 17 August 2018, 18:32:42 UTC
4b2b0d3 Merge branch 'peykash/batchnorm_float16_fixes' 17 August 2018, 09:54:13 UTC
d67eba8 Remove template definition 17 August 2018, 04:25:39 UTC
af7e33e Fix template compilation 17 August 2018, 04:25:39 UTC
8c83adb Some cleanup 17 August 2018, 04:25:39 UTC
648c99d Refactor common methods 17 August 2018, 04:25:39 UTC
086dd28 Update .gitattributes to mark MLF as binary file 17 August 2018, 04:25:39 UTC
cb3d08a Add E2E test for binary MLF 17 August 2018, 04:25:38 UTC
7c59a63 Further binaryMLF refactoring 17 August 2018, 04:25:38 UTC
931193d Refactor binary MLF 17 August 2018, 04:25:38 UTC
7816541 Remove a logging statement 17 August 2018, 04:25:38 UTC
e500b6e Fix binary stream reading 17 August 2018, 04:25:37 UTC
0ef680e add binary MLF reader to makefile 17 August 2018, 04:25:37 UTC
cd838ae Introduce model version 2 17 August 2018, 04:25:37 UTC
9ad1910 Optimize senone count lookup 17 August 2018, 04:25:37 UTC
ce95c1c First working version 17 August 2018, 04:25:36 UTC
0a00f8b Implement MLF binary parser 17 August 2018, 04:25:36 UTC
0198fad Binary index builder' 17 August 2018, 04:25:36 UTC
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