- 13 11月, 2019 1 次提交
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由 chenjiaoAngel 提交于
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- 12 11月, 2019 2 次提交
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由 HappyAngel 提交于
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由 chenjiaoAngel 提交于
fix 2-pad to 4-pad in operators/pool_op.h, AttachKernel will set param, so 2-pad to 4-pad funcs should put in AttachKernel. test=ddevellop
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- 11 11月, 2019 3 次提交
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由 HappyAngel 提交于
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由 chenjiaoAngel 提交于
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由 HappyAngel 提交于
* fix pooling bug and speed * fix build error * delete VLOG in pool, test=develop * add openmp, test=develop * fix lite/kernels/arm/pool_compute_test basic_pooling compute error bug, test=develop
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- 08 11月, 2019 4 次提交
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由 huzhiqiang 提交于
* move multiclass_nms kernel back to host test=develop * move layer_norm OP and arm_kernel into extra type since it's added after release/v2.0-beta1 and not related with CV test=develop * fix code_style test=develop
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由 juncaipeng 提交于
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由 hong19860320 提交于
[LITE][NPU] Add fusion_elementwise_add_activation bridge, remove the limitation of the dimensions of input tensors in the graph compute kernel, and refine log message (#2395) test=develop
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由 chenjiaoAngel 提交于
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- 07 11月, 2019 6 次提交
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由 Wilber 提交于
fix jit::matmul bug. Input x shape is (m, k), weight shape is (k, n). When k < 512, m==1, and n is a multiple of 16, the weight pointer is not correctly updated in the group calculation in the implementation of jit::matmul, resulting in the result diff
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由 TianXiaogang 提交于
mv deviceinfo.workspace and other relative member to thread_local_storage
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由 Yuan Shuai 提交于
* Add CMAKE_BUILD_TYPE check for strip. test=develop
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由 chenjiaoAngel 提交于
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由 chenjiaoAngel 提交于
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由 huzhiqiang 提交于
We have changed 11 arm_kernels into extra type in #2347 , which has caused test_compiling failure. In this PR , we move their 11 related arm_kernel_test into build_extra=ON
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- 06 11月, 2019 10 次提交
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由 juncaipeng 提交于
* add channel_wise_dequantized_max_abs op and ChannelWiseDequantOpFuser, test=develop
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由 chenjiaoAngel 提交于
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由 xiebaiyuan 提交于
optimise conv 1x1 ... ,test=develop (#2388)
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由 Wilber 提交于
update reshape op to support multiple input types of shape. priority: input(ShapeTensor) > input(Shape) > attr(shape) update slice op to support multiple iput types of starts and ends. priority: input(StartsTensor) > input(StartsTensorList) > attr(starts)
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由 Wilber 提交于
fill_constant kernel only registered float type, only the float data type is produced, which is obviously a bug. Now, produce data based on the data type attr. By the way, fix the cast kernel bug.
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由 chenjiaoAngel 提交于
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由 HappyAngel 提交于
update
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由 huzhiqiang 提交于
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由 sangoly 提交于
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由 TianXiaogang 提交于
* fix: fix omp thread bug * fix: fix compile android level & test=develop * fix: fix omp bug * fix: fix omp bug test=develop
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- 05 11月, 2019 4 次提交
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由 zhupengyang 提交于
test=develop
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由 sangoly 提交于
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由 lijianshe02 提交于
* fix step rnn model run bugs test=develop
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- 04 11月, 2019 3 次提交
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由 xiebaiyuan 提交于
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由 huzhiqiang 提交于
* move some basic ops into extra type to reduce library size test=develop (#2347)
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由 Zhaolong Xing 提交于
test=develop
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- 02 11月, 2019 1 次提交
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由 xiebaiyuan 提交于
* add mem opt option for high api ,test = develop * fix is_lod params && test-performance ,test=develop * fix useless init emptyimage , test = develop
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- 01 11月, 2019 6 次提交
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由 juncaipeng 提交于
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由 zhupengyang 提交于
* [XPU] add batchnorm op bridge and unit test test=develop * fix DMLC_USE_GLOG test=develop
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由 Yanzhan Yang 提交于
* delete remaining opencl headers test=develop * checkout specific commit for opencl headers test=develop
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由 Yanzhan Yang 提交于
* add opencl headers by git clone test=develop * add opencl headers by git clone test=develop
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由 liu zhengxi 提交于
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由 huzhiqiang 提交于
fix buf: model_optimize_tool can not compile preperly on mac environment (#2326)
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