- 28 1月, 2022 1 次提交
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由 Zhanlue Yang 提交于
* Removed debug info * Added automatic code generation for final state Eager Dygraph * Modified backward yaml * Added EagerUtils helper functions for final state CodeGen * Adjusted CMakeFiles to support compilation for final state auto generated codes * Fixed final state eager codegen * Fixed CI problems * Fixed yaml.load() method failure * Turned final state codegen off for now * Fixed minor issue
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- 27 1月, 2022 1 次提交
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由 Zhanlue Yang 提交于
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- 24 12月, 2021 1 次提交
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由 Jiabin Yang 提交于
* 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 * support inference test * refine test and fix initializer failed Co-authored-by: Njim19930609 <jim19930609@gmail.com> Co-authored-by: NWang Huan <wanghuan29@baidu.com>
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- 15 12月, 2021 1 次提交
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由 Zhanlue Yang 提交于
* 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 * Added safe_initialized interface to EagerTensor for use in processing dispensable inputs
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- 14 12月, 2021 1 次提交
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由 Zhanlue Yang 提交于
* 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
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- 02 12月, 2021 1 次提交
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由 Zhanlue Yang 提交于
* Handled dispensable tensors in AutoCodeGen for Eager Dygraph * Enabled Eager Dygraph AutoCodeGen for 500+ existing ops
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- 29 11月, 2021 1 次提交
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由 Zhanlue Yang 提交于
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- 24 11月, 2021 2 次提交
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由 Zhanlue Yang 提交于
* Added EagerUtils to Eager Dygraph * Purified include dependencies for global_utils * Fixed merge conflicts
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由 Jiabin Yang 提交于
* Add EagerTensor and tests * remove useless enforce * remove comment in cmake * support autograd meta * support grad node info test * support grad_node_info * add more edge test * remove Python.h * add tensor wrapper with tests * support compute require grad and stop gradient * support sync methods and global utils * support pure cpu test * refine error msg * refine error msg * refine error info * fix npu error
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