* add copy-from label for code examples, test=document_fix

* refine docs, test=document_fix

* add some output for code example, test=document_fix

* add `optional`, test=document_fix

* add missing parameters, test=document_fix

* add missing links for `ProgBarLogger` and `ModelCheckpoint`, test=document_fix

* update eval_batch example, test=document_fix

* fix typos in stack_outputs, test=document_fix

* np.random -> paddle.random, test=document_fix

* add bilinear_interp_v2 converter

* make device_id=current_id when not given

* use tracer to get current device id

* add activation layer

* Load models and run PE

* Stash all code

* Fix C++ UT and refine code

* Fix string length error

* skip windows ci because windows do not have wget

* Just print out in layer_test because bce param file changed

* Refine code

* Fix pdiparam download error for layer_test

* Polish FunctionSchema and rename some arg

* New Exector only once

* Add value type for ivalue

* Read params from one pdiparam file

* Replace ivalue using Variable

* Remove ivalue file

* Fix inner_exe new

* Using DeserializeFromStream to load tensor

* Split .cc files

* Polish cmakelist

* 'triplet_margin_loss'

* 'test_file_corret'

* '2022_03_27'

* 2022_04_05

* 2022-04-17_1

* 2022-04-17

* 2022-04-17_2

* 2022-04-25

* 2022-05-02_V1

* 2022-05-06_V1

* 2022-05-07_V1

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update loss.py

* Update test_triplet_margin_loss.py

* Update loss.py

* 2022-06-01_pre-commit

* 2022-06-05

* 2022-06-06

* 2022-06-06

* code_style_check

* code_style_check

* Update loss.py

* 2022-06-07_V2

* Update loss.py

* Update loss.py

* [CustomKernel] add custom kernel c api

* update

* update

* fix unable to export capi
Co-authored-by: Nronny1996 <524019753@qq.com>

* Unit test with tempfile to place the temporary files

* Update test_custom_relu_model.py

* tempfile_fix

* update

* fix_CI

* update_word2vec.inference.model

* remove_change_in_word2vec_book

* fix_word2vec_book

* add squeeze2

* add squeeze

* add squeeze2,unsqueeze2

* merge develop

* fix format

* add conditions for squeeze2 and unsqueeze in op_teller

* merge develop

* add squeeze unsqueeze

* add squeeze unsqueeze

* add squeeze unsqueeze

* remove unsqueeze2_eltwise_fuse_pass

* add squeeze/unsqueeze

* add unary

* Support disable GC for some vars in standalone executor

* Setting skip_gc_vars in interprecore construction

* fix xpu kp compilation

* add depends

* lazy creating work queue

* fix dry_run

* Optimize prod's python implementation for dygraph.

* Change key_dim to head_dim.

* Add comment in unittest.

* Disable TF32 in unittest.

* Decoupling ipu sharding and modeling (#665)

* feat(shard): decoupling shard setting with modeling.

* fix(shard): split test cases to avoid failure.

* fix(shard): add function docs and fix typo.

* test(shard): add tests.

* test(shard): more test case.

* fix(): change ipu_index/stage default value to -1.

* fix format
Co-authored-by: Nczr-gc <96037699+czr-gc@users.noreply.github.com>

* set_state_dict not use state_dict hook

* add ut

* refine doc

* use tempfile to place temporary files

* update

* revert test_communicator

* fix test_dist_base

* rename yaml file

* fix merge conflict

* fix infrt

* add some kernel(csr*dense->csr, dense*dense->csr) of SparseTensor matmul

* fix CI

* fix CI

* fix comment

* fix comment

Use int64_t in GetGpuLaunchConfig1D and ElementwiseKernel as index type to support large tensor. (#43506)

* Change some data type from int to int64_t in GetGpuLaunchConfig1D to support large tensor.

* Use int64_t in ElementwiseKernel as index type to support large tensor.

* Refactor port.h

* Remove some unnecessary code

* Fix CI errors