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https://github.com/Microsoft/CNTK
03 November 2020, 07:30:59 UTC
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Revision Author Date Message Commit Date
7beefcb Guoli Ye 19 December 2018, 07:44:30 UTC bug fix 19 December 2018, 07:44:30 UTC
3499587 Guoli Ye 19 December 2018, 05:43:01 UTC bug fix 19 December 2018, 05:43:01 UTC
234c8c6 Guoli Ye 19 December 2018, 05:13:31 UTC update bo's fix, use seqIdx based FSMN flags 19 December 2018, 05:13:31 UTC
78e2ed7 Guoli Ye 03 November 2018, 16:37:38 UTC nan-fix 03 November 2018, 16:37:38 UTC
820fe04 Guoli Ye 03 November 2018, 05:20:13 UTC nan-debug-improve 03 November 2018, 05:20:13 UTC
7d4c783 Guoli Ye 01 November 2018, 05:18:37 UTC nan-debug 01 November 2018, 05:18:37 UTC
4750115 Guoli Ye 01 November 2018, 04:39:08 UTC nan-debug 01 November 2018, 04:39:08 UTC
52fcbc9 Guoli Ye 31 October 2018, 19:27:19 UTC nan-debug 31 October 2018, 19:27:19 UTC
554bb6f Guoli Ye 31 October 2018, 16:46:24 UTC nan-debug 31 October 2018, 16:46:24 UTC
23d6cca Guoli Ye 30 October 2018, 20:00:44 UTC nan-debug 30 October 2018, 20:00:44 UTC
0fda9ea Guoli Ye 29 October 2018, 22:36:54 UTC semi-orthogonal-errinfo 29 October 2018, 22:36:54 UTC
6aa1128 Guoli Ye 29 October 2018, 22:33:27 UTC semi-orthogonal 29 October 2018, 22:33:27 UTC
6958071 Guoli Ye 29 October 2018, 22:02:55 UTC semi-orthogonal-errinfo 29 October 2018, 22:02:55 UTC
22ad5a9 Guoli Ye 29 October 2018, 21:58:28 UTC semi-orthogonal 29 October 2018, 21:58:28 UTC
cc7ef78 Guoli Ye 29 October 2018, 21:42:16 UTC semi-orthogonal-errinfo 29 October 2018, 21:42:16 UTC
4825304 Guoli Ye 29 October 2018, 04:39:00 UTC alpha-debug 29 October 2018, 04:39:00 UTC
14b83c7 Guoli Ye 28 October 2018, 05:07:43 UTC semi-orthogonal 28 October 2018, 05:07:43 UTC
20ebe12 Guoli Ye 28 October 2018, 05:05:30 UTC semi-orthogonal-errinfo 28 October 2018, 05:05:30 UTC
6fe12de Guoli Ye 28 October 2018, 00:41:03 UTC nan-debug 28 October 2018, 00:41:03 UTC
051e2da Guoli Ye 28 October 2018, 00:32:50 UTC nan-debug 28 October 2018, 00:32:50 UTC
6ecb212 Guoli Ye 27 October 2018, 03:31:31 UTC nan-debug 27 October 2018, 03:31:31 UTC
ca90307 Guoli Ye 27 October 2018, 03:24:49 UTC nan-debug 27 October 2018, 03:24:49 UTC
63dec8a Guoli Ye 26 October 2018, 00:42:58 UTC nan-debug 26 October 2018, 00:42:58 UTC
5c9b647 Guoli Ye 24 October 2018, 22:02:18 UTC semi-orthogonal 24 October 2018, 22:02:18 UTC
f6c20d0 Guoli Ye 24 October 2018, 21:29:17 UTC semi-orthogonal 24 October 2018, 21:29:17 UTC
45e96ff kaituoxu 15 August 2018, 05:40:31 UTC [BiVfsmnNode] avoid CPU GPU transfer but still use hard code minibatch size 06 October 2018, 03:31:58 UTC
4c0c531 kaituoxu 10 August 2018, 08:39:07 UTC use MatrixPool and UpdateFunctionMBSize() to Resize m_flags & construct m_flags in BeginForwardProp() 06 October 2018, 03:31:36 UTC
6a6cc69 kaituoxu 07 August 2018, 12:14:32 UTC try to fix memory bug(illegal memory access) 06 October 2018, 03:30:51 UTC
e774068 Guoli Ye 06 October 2018, 02:01:21 UTC FSMN bug fixed!! I have wrong understanding of one Minibatch Matrix's layout before and Now I have fixed related problem 06 October 2018, 02:01:21 UTC
bcddbf4 Guoli Ye 05 October 2018, 23:23:09 UTC fix compilation error 5 05 October 2018, 23:23:09 UTC
558576f Guoli Ye 05 October 2018, 22:11:22 UTC fix compilation error 4 05 October 2018, 22:11:22 UTC
e26df8a Guoli Ye 05 October 2018, 21:32:48 UTC fix compilation error 3 05 October 2018, 21:32:48 UTC
2f9dc9d Guoli Ye 05 October 2018, 20:50:05 UTC fix compilation error 2 05 October 2018, 20:50:05 UTC
81b1e63 Guoli Ye 05 October 2018, 20:14:28 UTC fix compilation error 05 October 2018, 20:14:28 UTC
0728441 Guoli Ye 05 October 2018, 17:14:03 UTC cherry-pick 8deb528b7298f988a614f8570ef1211ccdc446d6 from t-kax/debug-fsmn 05 October 2018, 17:14:03 UTC
cc6ddc9 Guoli Ye 05 October 2018, 03:36:50 UTC cherry-pick 8deb528b7298f988a614f8570ef1211ccdc446d6 from t-kax/debug-fsmn 05 October 2018, 03:36:50 UTC
b876245 kaituoxu 11 June 2018, 10:05:42 UTC cherry-pick 8deb528b7298f988a614f8570ef1211ccdc446d6 from t-kax/debug-fsmn 05 October 2018, 01:02:01 UTC
ac933da Guoli Ye 05 October 2018, 00:43:56 UTC Revert "cherry-pick 8deb528b7298f988a614f8570ef1211ccdc446d6 from t-kax/debug-fsmn" This reverts commit 25f35cd7b77ec9c8c9f50ad8212dcd0b244ffc26. 05 October 2018, 00:43:56 UTC
25f35cd kaituoxu 11 June 2018, 10:05:42 UTC cherry-pick 8deb528b7298f988a614f8570ef1211ccdc446d6 from t-kax/debug-fsmn 04 October 2018, 22:45:12 UTC
6063866 Bowen Bao 02 October 2018, 03:41:06 UTC Merge branch 'bowbao/pooling_pad_offset' 02 October 2018, 03:41:06 UTC
bf37aad Bowen Bao 01 October 2018, 20:50:24 UTC 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 TJ 01 October 2018, 22:44:06 UTC fix csharp examples and references 01 October 2018, 22:45:13 UTC
fcdeef6 Bowen Bao 26 September 2018, 22:53:36 UTC Support crop_manual export & import. 29 September 2018, 20:46:17 UTC
a36fae8 Bowen Bao 21 September 2018, 23:04:14 UTC 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 Spandan Tiwari 27 September 2018, 17:25:11 UTC Add support for ONNX export of StraightThrough op. 27 September 2018, 17:25:11 UTC
1aab76a Spandan Tiwari 27 September 2018, 01:01:34 UTC Updating ONNX submodule hash to include defs for ConstantLike and EyeLike ops. 27 September 2018, 01:01:34 UTC
ce503f8 Peyman Manikashani 26 September 2018, 00:09:23 UTC pooling export fix for backward compatibility 26 September 2018, 00:09:39 UTC
9165fd0 Ke Deng 25 September 2018, 00:26:34 UTC Merge branch 'kedeng/fixCrash' 25 September 2018, 00:26:34 UTC
58f810f liqfu 22 September 2018, 16:53:27 UTC update with ONNX1.3 and latest onnxruntime 22 September 2018, 16:53:27 UTC
1489de8 KeDengMS 22 September 2018, 05:33:41 UTC Fix a crash in transpose_times simplification to element times 22 September 2018, 05:33:41 UTC
93cc680 Bowen Bao 21 September 2018, 17:22:56 UTC Update reshapeing_test to accomodate python 2.7 21 September 2018, 17:24:57 UTC
d626c2a Bowen Bao 21 September 2018, 05:02:57 UTC Merge branch 'bowbao/gather_backward' 21 September 2018, 05:02:57 UTC
da6b0bc Bowen Bao 20 September 2018, 21:51:55 UTC 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 Peyman Manikashani 20 September 2018, 21:38:02 UTC updating iteration documentation file 20 September 2018, 21:39:58 UTC
0a3eb3b Bowen Bao 18 September 2018, 22:00:44 UTC Update onnx_model_test with tests on cntk pretrained models 19 September 2018, 18:27:55 UTC
6f09c39 Liqun Fu 18 September 2018, 02:33:30 UTC Merge branch 'release/2.6' 18 September 2018, 02:33:30 UTC
4ed1896 liqfu 17 September 2018, 23:10:48 UTC set public_build to "no"/false 17 September 2018, 23:10:48 UTC
1be3b64 liqfu 15 September 2018, 01:07:45 UTC update readme for .net support 15 September 2018, 01:07:45 UTC
d355c1c TJ 14 September 2018, 19:29:51 UTC Updated current_iteration with .net support 14 September 2018, 20:07:24 UTC
04caa9d TJ 14 September 2018, 19:29:51 UTC Updated current_iteration with .net support 14 September 2018, 19:29:51 UTC
7c1b0fa liqfu 14 September 2018, 00:01:45 UTC udpate readme with current iteration 14 September 2018, 00:01:45 UTC
da31ba0 Bowen Bao 13 September 2018, 20:36:48 UTC Update current_iteration.md 13 September 2018, 23:57:44 UTC
e4d7081 Sergii Dymchenko 13 September 2018, 18:18:53 UTC Update current_iteration.md. 13 September 2018, 23:57:30 UTC
4f965aa liqfu 13 September 2018, 23:34:30 UTC update version # in cntk_common.cmake 13 September 2018, 23:34:30 UTC
82d350d liqfu 13 September 2018, 22:52:47 UTC bump up version number 13 September 2018, 22:52:47 UTC
d264a26 Bowen Bao 13 September 2018, 20:36:48 UTC Update current_iteration.md 13 September 2018, 20:44:42 UTC
be28e86 Sergii Dymchenko 13 September 2018, 18:18:53 UTC Update current_iteration.md. 13 September 2018, 18:18:53 UTC
deda94b Bowen Bao 12 September 2018, 22:08:33 UTC 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 Bowen Bao 12 September 2018, 22:00:19 UTC 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 Sergii Dymchenko 13 September 2018, 02:42:25 UTC Merge branch 'sedymche/onnx-min-max' 13 September 2018, 02:42:25 UTC
d33b7b4 liqfu 13 September 2018, 00:24:45 UTC update iteration plan 13 September 2018, 00:24:45 UTC
6a4ec05 Peyman Manikashani 13 September 2018, 00:13:46 UTC Merge branch 'peykash/batchnorm_and_pooling_fixes' 13 September 2018, 00:13:46 UTC
61d7dab Sergii Dymchenko 07 September 2018, 00:28:02 UTC Support more than 2 inputs for ONNX Min/Max import. 12 September 2018, 22:12:14 UTC
8b48976 Spandan Tiwari 12 September 2018, 18:12:10 UTC Adding CNTK 2.6 release work summary to current_iteration.md 12 September 2018, 18:12:10 UTC
b374e14 Peyman Manikashani 07 September 2018, 22:41:43 UTC fixes on Batchnorm and Pooling for v1 pretrained models after removal of sequence axis from input 12 September 2018, 17:02:52 UTC
5897265 Bowen Bao 07 September 2018, 23:32:51 UTC 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 Bowen Bao 11 September 2018, 15:51:45 UTC Update onnx_model_test skip list 11 September 2018, 15:51:45 UTC
0754b38 Bowen Bao 07 September 2018, 00:33:58 UTC update onnx_model_test with tests from onnx backend test 09 September 2018, 20:53:26 UTC
2f52f22 Bowen Bao 06 September 2018, 02:22:53 UTC 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 liqfu 09 September 2018, 15:59:33 UTC 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 Bowen Bao 31 August 2018, 18:40:04 UTC 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 Bowen Bao 04 September 2018, 23:10:07 UTC Resolve dependencies and build issues -Temporary add importorskip around import onnx -bump up .yml matplotlib version 05 September 2018, 22:02:23 UTC
dc5e482 Bowen Bao 30 August 2018, 20:10:12 UTC 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 Bowen Bao 30 August 2018, 17:49:24 UTC Temporarily skip onnx_model_test if import onnx fail 30 August 2018, 17:52:53 UTC
94a43ed Liqun Fu 30 August 2018, 07:40:20 UTC Merge branch 'liqun/liqun/RNN2.6.Stage' 30 August 2018, 07:40:20 UTC
73cd53e Bowen Bao 28 August 2018, 23:02:06 UTC 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 liqfu 29 August 2018, 23:52:58 UTC 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 Peyman Manikashani 29 August 2018, 17:08:50 UTC times export fix 29 August 2018, 17:09:07 UTC
b86fe1a Ke Deng 28 August 2018, 07:17:54 UTC Merge branch 'pull/3374' 28 August 2018, 07:17:54 UTC
1f2e42e Spandan Tiwari 27 August 2018, 07:32:33 UTC Merge branch 'sptiwari/convtranspose_update7' 27 August 2018, 07:32:33 UTC
edc29f8 Yang Chen 23 August 2018, 21:28:29 UTC 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 Spandan Tiwari 27 August 2018, 04:20:05 UTC Overhaul ConvTranpose to match ONNX 1.2.2. spec. 27 August 2018, 04:20:05 UTC
7dd9638 Bowen Bao 24 August 2018, 20:44:28 UTC 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 liqfu 26 August 2018, 15:41:20 UTC 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 Peyman Manikashani 23 August 2018, 18:05:56 UTC reduction all axes export fix 24 August 2018, 17:02:34 UTC
d2ff412 Bowen Bao 24 August 2018, 04:38:48 UTC 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 Phoebe Ma (Beyondsoft Corporation) 24 August 2018, 05:56:36 UTC Fix issue#3228 and #3363 which found when build with MSVC+ permissive- 24 August 2018, 05:56:36 UTC
a26e542 Bowen Bao 23 August 2018, 22:21:34 UTC 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 Bowen Bao 23 August 2018, 06:09:53 UTC update python doctest handling newer version numpy print format. 23 August 2018, 06:21:13 UTC
56ef694 Bowen Bao 21 August 2018, 18:34:49 UTC add onnx_model_test.py 23 August 2018, 06:21:13 UTC
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