- 06 Sep, 2018 1 commit
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nhynes committed
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- 23 Aug, 2018 1 commit
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MORITA Kazutaka committed
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- 14 Aug, 2018 1 commit
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Siva committed
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- 09 Aug, 2018 1 commit
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Lianmin Zheng committed
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- 02 Aug, 2018 1 commit
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Lianmin Zheng committed
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- 09 Jul, 2018 1 commit
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Yizhi Liu committed
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- 04 Jul, 2018 1 commit
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Siva committed
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- 30 Jun, 2018 1 commit
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ANSHUMAN TRIPATHY committed
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- 28 Jun, 2018 1 commit
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Tianqi Chen committed
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- 24 Jun, 2018 1 commit
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Siva committed
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- 22 Jun, 2018 1 commit
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Pariksheet Pinjari committed
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- 14 Jun, 2018 1 commit
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Siva committed
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- 05 Jun, 2018 1 commit
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[NNVM] Fix softmax gradient
larrywyang committed
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- 01 Jun, 2018 1 commit
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Pariksheet Pinjari committed
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- 29 May, 2018 25 commits
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* update tvm submodule * Add count_include_pad support to avg_pool
Tatsuya Nishiyama committed -
Yizhi Liu committed
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* rename FInferLayout -> FCorrectLayout * correct stupid IDE * update submodule tvm
Yizhi Liu committed -
Yizhi Liu committed
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Pariksheet Pinjari committed
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Yao Wang committed
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Yan Huang committed
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* initial NHWC layout support * remove layout param from softmax * more nhwc support * fix typo * add nhwc layout test * fix lint * update tvm * update for c++ topi * fix lint * update tvm
masahi committed -
Siva committed
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Yao Wang committed
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* Updated TVM version. Implemented fix for nnvm_compiler crash on exit on windows. Changed TOPI ops from using python to using C++ where applicable. * Fix lint * Fix lint * Fix macro * Fix reshape * Update TVM to fix test fails
alex-weaver committed -
* Add conv2d max_pool backward op * Added tests * Fix testing * Address comments * Change dot to matmul * Address comments * Break down indicator function * Make greater, less numpy compatible
yuruofeifei committed -
* make shape inference of BatchNorm layout neutral * refactor to use the axis variable to do BatchNorm shape inference * refactor to use the axis variable to do BatchNorm shape inference * add unittest to the axis param for batch norm shape inference
guopinglong committed -
* add nnvm upsampling symbol * add upsampling mxnet frontend * add doc for upsampling op * cleanup upsampling test * minor fix * use schedule_injective for upsampling * upgrade tvm
masahi committed -
* keras frontend tutorial * fix
Yuwei Hu committed -
* vgg16 success * remove six.PY2, use sys.version_info; convert_activation() accepts activation type name(str, e.g. 'relu') as input; * add convert_merge * fix convert_batchnorm; improve tests * fix lint * add numpy-style pad operator * deal with asymmetry padding * resnet50 success * fix pool_convert; xception passes test * update tvm * fix bias error; all tests pass * use > >, not >>
Yuwei Hu committed -
* update tvm * [TOP] fix weight layout in conv2d_transpose
Yuwei Hu committed -
* [TOP] add conv2d_transpose * update tvm * fix pylint
Yuwei Hu committed -
Tianqi Chen committed
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Tianqi Chen committed
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Tianqi Chen committed
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* [TOP] level4 except argmax/min, correct split * [DOCS] Add doc generator for top
Tianqi Chen committed -
tqchen committed
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* [TOP] complete level2 * [TOP] add split
Tianqi Chen committed -
Tianqi Chen committed
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