1. 11 1月, 2022 4 次提交
    • C
      【Auto Parallel】New local tensor (#38747) · d3ba1895
      caozhou 提交于
      * update dist tensor
      
      * add unitest
      
      * update unitest
      
      * refactor dist tensor
      
      * update dist tensor and unitest
      d3ba1895
    • Z
      [AMP] Check call order of paddle.amp.decorate and paddle.DataParallel (#38785) · fbb40281
      zhangbo9674 提交于
      * check amp.decorate and DataParallel
      
      * refine coverage
      
      * fix layer dtype
      
      * refine code
      fbb40281
    • M
      Jit pre save hook (#38186) · e91f7c02
      Ming-Xu Huang 提交于
      * Pre-save hooks of jit.save
      
      1. Added pre_save_hooks features to jit.save.
      2. Added related unittests
      
      * Added jit pre_save_hooks functions's alias to paddle.jit and copyright.
      
      * Make jit.save_pre_hook style be consisent with Paddle's rule.
      
      * Fixed arguments passing bug in run_save_pre_hooks
      
      * Added API Documents
      
      * Move clear and run_pre_save_hooks as internal methonds only.
      
      * Made register_save_pre_hook as an internal function.
      e91f7c02
    • W
      [Eager] fix some eager logic (#38576) · d3686471
      wanghuancoder 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
      
      * 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
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      Co-authored-by: Njim19930609 <jim19930609@gmail.com>
      Co-authored-by: NJiabinYang <360788950@qq.com>
      d3686471
  2. 10 1月, 2022 19 次提交
  3. 07 1月, 2022 5 次提交
  4. 06 1月, 2022 6 次提交
  5. 05 1月, 2022 6 次提交
    • J
      Make post training quant API support dataloader (#38686) · 0af1a87b
      Jiaqi Liu 提交于
      * make post training quant API support dataloader
      0af1a87b
    • W
      [Eager] Support test imperative basic in eager test_empty_grad (#38376) · 9108e777
      wanghuancoder 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
      
      * 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
      
      * call monkey_patch_varbase in _test_eager_guard, test=develop
      
      * split clear_gradient to clear_gradient and zero_grads, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      
      * refine, test=develop
      Co-authored-by: Njim19930609 <jim19930609@gmail.com>
      Co-authored-by: NJiabinYang <360788950@qq.com>
      9108e777
    • J
      Fix for matmul_v2 oneDNN op broadcasting when inputs dims have different lengths (#38665) · 67923124
      jakpiase 提交于
      * fix for matmul_v2 broadcasting
      
      * fix for output shape not broadcasted
      67923124
    • J
      Quantize nearest_interp and nearest_interp_v2 (#38622) · 1456b02d
      joanna.wozna.intel 提交于
      * Quantize nearest_interp and nearest_interp_v2
      
      * Check if avx_core supported
      
      * Add depthwise_conv2d to supported quantization list
      1456b02d
    • T
      add huber_loss for kunlun (#38589) · a268c7ce
      TTerror 提交于
      * add huber_loss for kunlun
      
      * update xpu.cmake
      
      * update unitests
      
      * update unitests
      
      * update elementwise_add
      
      * update elementwise_add
      
      * update elementwise_add
      a268c7ce
    • W
      Support EagerTensor initialization with kwargs (#38488) · 4ba6d4e4
      Weilong Wu 提交于
      * Support EagerTensor init with kwargs
      
      * Updated comments
      
      * Updated unit tests case
      
      * Refactor InitTensor related code to reduce duplicate code
      
      * Updated the error reporting msg
      
      * Updated VLOG msg
      
      * Merge develop and Update EagerTensor init func
      
      * Polish switch case, reduce some code
      
      * Add SyntaxError unit test case
      
      * Refactor the related initialization func of EagerTensor
      
      * Remove ParseStopGradient and ParseZeroCopy and ParsePersistable, construct ParseBooleanArgs instead.
      
      * Updated error msg to pass CI
      
      * Updated PADDLE_ENFORCE error type
      4ba6d4e4