- 22 Sep, 2019 3 commits
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Paddy Horan committed
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* Qnn Dense layer. * Reformatting code. * Reformatting code and making the test case more readable. * Fixing lint issues. * Fixing test method names to pass the nose related configurations. * Aligning the code for code style.
shoubhik committed -
* add expr `isnan` * move to intrinsic * doc & add to topi * fix error from ci
Huang, Guangtai committed
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- 21 Sep, 2019 3 commits
- 20 Sep, 2019 5 commits
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* Fix unittest * Fix pylint error: Line 915 too long * Fix the conflicting files * frontend operator support: space_to_batch_nd * add test case for frontend operator support: space_to_batch_nd * add test case for frontend operator support: space_to_batch_nd * frontend operator support: space_to_batch_nd * Fix ValueError: don't know how to convert type <class 'numpy.ndarray'> to node
Neo Chien committed -
* [Relay][Frontend][ONNX] operator support: Tile * Trigger notification
Neo Chien committed -
* [ARITH] Add Lowering rule for FloorDiv/Mod * add comment about constant folding
Tianqi Chen committed -
MXNet pad is described at: https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.pad Add support for parameter 'None' in MXNet slice operator. MXNet 'slice' is described at https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.slice Add support for MXNet cos, sin, arctan MXNet 'cos' is described at https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.cos MXNet 'sin' is described at https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.sin MXNet arctan is descirbed at https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.arctan Add support for MXNet 1D Convolution and 1D Deconvolution MXNet convolution is described at: https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.Convolution MXNet Deconvolution is described at: https://mxnet.incubator.apache.org/api/python/symbol/symbol.html#mxnet.symbol.Deconvolution
Alex Gladkov committed -
Animesh Jain committed
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- 19 Sep, 2019 5 commits
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* add proper scheduling for dense on CUDA * add fallback config and fix unit test * fix corner cases * refactoring * fix bias and add testcase * let fusion happen
Cody Hao Yu committed -
Meghan Cowan committed
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adjust pylint output to show file location to make it possible to locate errors
Ina Dobreva committed -
Animesh Jain committed
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Tianqi Chen committed
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- 18 Sep, 2019 3 commits
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* [Relay] add shape check for concat * [Relay] add shape check for stack * add test case for shape mismatch * [typo] add the missing assert * fix lint errors. * replace int with size_t. * statically cast param->axis to size_t. * switch to run_infer_type. * fix checking for negative index * add static_cast for param->axis * merge to latest tvm * fix lint error * Fix an error with negative index. * Update transform.h * Update transform.cc
Ligeng Zhu committed -
Neo Chien committed
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* Fix upsample layout in keras frontend. * Fixed group conv being used instead of conv when channels=1 * Add new conv2d test to catch bugs when channels=1.
Josh Fromm committed
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- 17 Sep, 2019 3 commits
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* Adding support to check if an attribute is present or not without having to get the value. * - Renaming the method to more appropriate name.
shoubhik committed -
Use a hash map keyed on the descriptor set to avoid bad asymptotic behaviour.
Andrew Tulloch committed -
Junru Shao committed
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- 16 Sep, 2019 6 commits
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Animesh Jain committed
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* improve conv2d_transpose x86 performance by reusing conv2d schedule * parallelize across batches to make large-batch conv2d and conv2d_transpose faster * improve doc for autotvm.task.space.FallbackConfigEntity.fallback_with_reference_log * add fallback schedule for schedule_conv2d_transpose_nchw_cuda * fix pylint * fix pylint * unify conv2d_transpose declaration in topi.nn and topi.x86
Yuwei Hu committed -
* Fix graph tuner benchmarking layout transform * Add test
Yao Wang committed -
* [tvm][codegen] Make buffer auto broadcast independent to the order of the input arg * fix indent
Zhi committed -
* [TOPI] operator support: logical_and, logical_or, logical_not * [TOPI] operator support: logical_and, logical_or, logical_not * [TOPI] fix test cases for operator support: logical_and, logical_or, logical_not * [TOPI] fix test cases for operator support: logical_not
Neo Chien committed -
* QNNLegalize for conv2d * [QNN] Legalization for Intel x86 QNN Conv2D
Animesh Jain committed
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- 15 Sep, 2019 3 commits
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* Enable miopen transpose convolution and fp16 support * linter
Peter Yeh committed -
* Add support for SquaredDifference and StopGradient; minor fix in BatchMatMul * Remove stopgradient change * Resolve PR comment * Dummy change to retrigger CI * dummy change to retrigger CI
Jon Soifer committed -
* Refine policies for define_split - Rename policy "all" to "factors" - Add policy "verbose" and "power2" * Refine search space * add doc
Cody Hao Yu committed
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- 14 Sep, 2019 1 commit
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Junru Shao committed
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- 13 Sep, 2019 6 commits
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2) Add EQ support in the loop partition and add test for the same 3) Change typo truc to trunc
Umang Yadav committed -
Andrew Tulloch committed
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Issue: RPC path get changed into "vta_rpc" from "pynq_rpc", but related document still use old informaiton. Solution: Update RPC path information.
Hua Jiang committed -
Jianyu Huang committed
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Animesh Jain committed
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* Fix int8x4 vectorize * Fix gpu shared/local memory accumulate * Add test_shared_memory for int8x4 * Adjust test format * Fix cpplint
noituIover committed
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- 12 Sep, 2019 2 commits
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* [QNN] Convolution 2D Implementation. Rebasing. Empty commit. Clang-format styling. * Reformatting code. * Fixing lint issues.
shoubhik committed -
* Support cuBLAS BatchMatMul * Add test and check target name
Jon Soifer committed
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