- 05 7月, 2022 7 次提交
-
-
由 ronnywang 提交于
* Dataloader add custom device support * update test=document_fix
-
由 zhouweiwei2014 提交于
* [Sparse] add SparseCsrTensor fused_attention kernel and API * fix comment
-
由 z8hanghuan 提交于
* refactor mean op, *test=kunlun * refactor mean op, *test=kunlun * refactor mean op,*test=kunlun * refactor mean op,*test=kunlun
-
由 Leo Guo 提交于
Modify the unittests of the assign_value, iou_similarity, one_hot_v2, reduce_mean, roi_align op. test=kunlun (#44061)
-
由 zhiboniu 提交于
* change fluid.mean to paddle.mean * reverse some old code examples
-
由 Ruibiao Chen 提交于
-
由 WangZhen 提交于
* Add BaseTransformer for dy2st error message * Fix return_transformer error * Polish dy2st error info in runtime * Fix UT error * Polish runtime error code
-
- 04 7月, 2022 4 次提交
-
-
由 Chenxiao Niu 提交于
-
由 zhaoying9105 提交于
-
由 Leo Guo 提交于
-
由 Huihuang Zheng 提交于
-
- 02 7月, 2022 1 次提交
-
-
由 Leo Chen 提交于
* fix init() * delete test_device_context * replace CPUDeviceContext with CPUContext * fix test_scalar * remove dot_op.cc * fix compile
-
- 01 7月, 2022 9 次提交
-
-
由 pangyoki 提交于
* convert graph to program to let sSandaloneExecutor supporrt CompiledProgram * skip case that compiled_program._program is None * execute CompiledProgram._compile to apply build_strategy
-
由 Chen Weihang 提交于
-
由 ykkk2333 提交于
-
由 limingshu 提交于
* 2nd part of transpose update * add switch_auto_tune option. * add some changes according to Ci * refine the structure of auto_tune_base. * merge develop changes * reset the switch_set_range and change unittest of transpose auto-tune * change the kernel auto-tune logits
-
由 Aurelius84 提交于
* [Dy2Stat]Polish break/continue statement transformer logic
-
由 enzodechine 提交于
* re-write the unit tests for compare xpu op *test=kunlun * re-write the unit tests for compare xpu op *test=kunlun Co-authored-by: Nrunzhech <runzh_chen@sjtu.edu.cn>
-
由 Aurelius84 提交于
* [Dy2Stat]Enhance nonlocal machanism while returning single var * [Dy2Stat]Enhance nonlocal machanism while returning single var
-
由 光明和真理 提交于
-
由 Chenxiao Niu 提交于
-
- 30 6月, 2022 10 次提交
-
-
由 zyfncg 提交于
* move standard apis to api.yaml * revert erfinv * delete dot_op.h * fix dot * rerun ci
-
由 zhoutianzi666 提交于
-
由 Hui Zhang 提交于
* save multi program into one param and seperate model * export class property
-
由 光明和真理 提交于
-
由 zhaoying9105 提交于
-
由 chenjian 提交于
* add code * add unit test
-
由 Leo Chen 提交于
* support scope_guard * fix test
-
由 xiongkun 提交于
* merge and add base support for non-local for * for and while non-local support * fix ci errors: v1 * fix bug * fix * fix code * fix * fix * fix
-
由 chentianyu03 提交于
* add relu6 kernel and yaml * format files * format code and fix bug * fix build failed
-
由 Chenxiao Niu 提交于
-
- 29 6月, 2022 3 次提交
-
-
由 Wilber 提交于
-
由 ccrrong 提交于
* add comparisons trt converter
-
由 QingshuChen 提交于
* skip xpu conv2d fp16 unitest *test=kunlun * minor *test=kunlun
-
- 28 6月, 2022 6 次提交
-
-
由 Yuang Liu 提交于
-
由 Aurelius84 提交于
-
由 Aurelius84 提交于
* [Dy2Stat]Polish all API name of _jst
-
由 xiongkun 提交于
* add unittest for PR43688
-
由 zhaoying9105 提交于
-
由 Ming-Xu Huang 提交于
1. test_parallel_executor_seresnext_base_gpu failed on 2 P100 GPUs with `470.82` driver. ``` ====================================================================== FAIL: test_seresnext_with_learning_rate_decay (test_parallel_executor_seresnext_base_gpu.TestResnetGPU) ---------------------------------------------------------------------- Traceback (most recent call last): File "/opt/paddle/paddle/build/python/paddle/fluid/tests/unittests/test_parallel_executor_seresnext_base_gpu.py", line 32, in test_seresnext_with_learning_rate_decay self._compare_result_with_origin_model( File "/opt/paddle/paddle/build/python/paddle/fluid/tests/unittests/seresnext_test_base.py", line 56, in _compare_result_with_origin_model self.assertAlmostEquals( AssertionError: 6.8825445 != 6.882531 within 1e-05 delta (1.335144e-05 difference) ---------------------------------------------------------------------- ``` 2. To be more accuracte on evaluating loss convergence, we proposed to apply IOU as metric, instead of comparing first and last loss values. 3. As offline discussion, we also evaluated convergence on P100 and A100 in 1000 interations to make sure this UT have the same convergence property on both devices. The curves are showed below. ![A100-Single, P100-Single and Diff (1)](https://user-images.githubusercontent.com/13541238/175461920-25df6101-6dd8-4387-862c-d1c8e9299c57.png)
-