- 01 11月, 2022 1 次提交
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由 Nyakku Shigure 提交于
* [CodeStyle][E712] use `if cond`/`if cond is True` for comparison with `True` * revert changes in fluid * revert unrelated file * revert changes in norm * revert changes in auto_parallel_amp * fix norm and auto_parallel_amp * revert a typo fix due to fixed at #47477
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- 23 10月, 2022 1 次提交
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由 Nyakku Shigure 提交于
* update config * re-blacken python code * temporarily disable date and diff_py_file * skip a format
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- 05 6月, 2022 1 次提交
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由 Sing_chan 提交于
* use yapf to format all python file * yapf exclude two unittests file for they rely on writing and reading file, and format will break them * disable diff_py_file because too many diff files cause command following failed
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- 20 1月, 2022 1 次提交
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由 Weilong Wu 提交于
Modify Code AutoGen logics and Support test_imperative decorator and layer_children, layer_trainable (#38633) * Rearranged Eager AutoCodeGen directory structure * Removed USE_OP in Eager AutoCodeGen * Enabled generation for Operators without Grad/Inputs/Outputs * Resolved operators without input * Fixed merge conflicts * Enabled Eager AutoCodeGen for 10+ more operators * Refactored Eager AutoCodeGen with more organized helper objects * Enabled Eager AutoCodeGen for operators with multiple OpBases * Adjusted Eager AutoCodeGen to Enable Passing Output Tensor as Input Argument * Handled Dispensable Inputs/Outputs in Eager AutoCodeGen * Adjusted function generation/call between Python-C API & Dygraph API * Synchronized auto-generated Python-C API with Dygraph Forward Functions * support more eager tensor api * fix merge compile error * fix compile error and fit develop code * support pure CPU * fix some logic error in eager_mode * support _varbase_creator in eager mode * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs * for eager mode * refine * support multiple constructor for eager tensor * add place related code * polish code * specific randint with dtype of int64 * Support pure cpu test * eager logic * refine test in pure cpu * eager logic * eager logic * eager logic, test=develop * skip core.eager when in inference, test=develop * refine, test=develop * refine, test=develop * call RetainGrad after run forward kernel, test=develop * refine, test=develop * support dygraph util, meta, guard test * eager test case * support inference test * refine test and fix initializer failed * modify eagertensor patch method * add eagertensor.clear_grandint, test=develop * refine, test=develop * refine, test=develop * refine, test=develop * support create varbase and fix retain grad error * call monkey_patch_varbase in _test_eager_guard, test=develop * fix windows error * split clear_gradient to clear_gradient and zero_grads, test=develop * refine, test=develop * refine, test=develop * support test_imperative_basic test in eager mode * remove additional log in variable.h * remove additional log in variable.h * remove additional code create in merge * eager * fix some eager logic, test=develop * refine, test=develop * refine, test=develop * Support test_imperative decorator and layer_children, layer_trainable * Compare ori_dygraph and new_egr * refine, test=develop * patch_tensor_method_func, test=develop * refine, test=develop * eager test case, test=develop * refine, test=develop * Updated assert_equal func * eager, test=develop * Updated assert statement * eager, test=develop * eager optimizer, test=develop * eager optimizer, test=develop * eager test_imperative_optimizer_v2, test=develop * eager, test=develop * refine, test=develop * refine, test=develop * eager, test=develop * add resize in share buffer to, test=develop * eager, test=develop * fix _share_buffer_to, test=develop * refine, test=develop * refine, test=develop * support eager for dataloader,test=develop * Modified eager_generator logic to use ptr * Updated eager_generator logic Co-authored-by: Njim19930609 <jim19930609@gmail.com> Co-authored-by: NJiabinYang <360788950@qq.com> Co-authored-by: NWang Huan <wanghuan29@baidu.com> Co-authored-by: Nwanghuancoder <wanghuancoder@163.com>
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- 06 7月, 2020 1 次提交
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由 hong 提交于
* connect stop_gradient with trainable; test=develop * add value error message; test=develop
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