windows conv_fusion failed as no kernel， explicit declare lambda
Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>

[Cherry-pick 1.6] fix batch_norm_grad shape=0 & allreduce shape enforce & sync_batch_norm hang in fleet (#22157)

* Fix softmax cuda bug

* Refine multihead log and softmax logic

* Align block to 32

* fix seqconv_eltadd_relu pass during multi-threads predictor, test=develop

* fix attention_lstm_fuse_pass during multi-threads inference, test=develop

* fix embedding_fc_lstm_fuse_pass during multi-threads inference, test=develop

* fix fc_lstm_fuse_pass during multi-threads inference, test=develop

* fix seq_concat_fc_fuse_pass during multi-threads inference, test=develop

* add param & grad shape check for sgd op

* add _reshape_inplece interface for dygraph parallel

* refine unittest based paddle/models scripts, test=develop

* add unittest for parallel grad fuse, test=develop

* fix decay param in DecayAdagrad test=develop (#22026)

* fix integer overflow in match_matrix (#22036)

* fix integer overflow in match_matrix test=develop

* fix integer overflow in match_matrix test=develop

* fix typo test=develop

* Fix the global_step & continuous applying error in EMA

* Fix for step 0 & add unit test

test=release/1.6

* fix logger problem
test=develop

* refine logger
test=develop

This reverts commit 0473cdb8.

test=release/1.6

* Fix TensorRT detection bug

1. Add new search path for TensorRT at tensorrt.cmake
2. Add better debug message
3. Fix the bug of detection of TensorRT version

In NVIDIA official docker image, TensorRT headers are located at
`/usr/include/x86_64-linux-gnu` and TensorRT libraries are located
at `/usr/lib/x86_64-linux-gnu`, so using `-DTENSORRT_ROOT` will
fail to detect TensorRT.

There is no debug/warning message to tell developer that TensorRT
is failed to be detected.

In later version of TensorRT (e.g. v6), `NV_TENSORRT_MAJOR` is
defined at `NvInferVersion.h` instead of `NvInfer.h`, so add
compatibility fix.

* Fix TensorRT variables in CMake

1. Replace `${TENSORRT_ROOT}/include` with `${TENSORRT_INCLUDE_DIR}`
2. Replace `${TENSORRT_ROOT}/lib` with `${TENSORRT_LIBRARY}`

Manually type path may locate incorrect path of TensorRT. Use the
paths detected by system instead.

* Fix TensorRT library path

1. Add new variable - `${TENSORRT_LIBRARY_DIR}`
2. Fix TensorRT library path

inference_lib.cmake and setup.py.in need the path of TensorRT library
instead of the file of TensorRT library, so add new variable to fix it.

* Add more general search rule for TensoRT

Let system detect architecture instead of manually assign it, so
replace `x86_64-linux-gnu` with `${CMAKE_LIBRARY_ARCHITECTURE}`.

* Add more general search rule for TensorRT

Remove duplicate search rules for TensorRT libraries. Use
`${TENSORRT_LIBRARY_DIR}` to get full path of libnvinfer.so

test=release/1.6

* fix the computation for dx (grad for x) for prelu operation. (#20949)

* set the default value of alpha for prelu to 0.25, test=develop

* add the call to __syncthreads(), test=develop

* fix the implementation of cpu prelu, test=develop

* repair the implementation of element mode prelu, test=develop

* modify test_prelu_op.py, test=develop

make config option DisableGlogInfo() able to mute all inference logs

* fix fetch handler problem and refactor
when a user define FetchHandler class, he or she should initialize a handler
with variable dict. the key of a variable dict is a user defined name,
the value of a variable dict is a Varaible generated from python API.

For each fetching, a user should implement handler function in which
fetched_result_dict will be available and the user can access the fetched value
with user defined keys.

* ADD NV JETSON SUPPORT
test=release/1.6

* CHERRY_PICK: specify the auto growth allocator for inference.
test=release/1.6

* disable reshape inplace in dygraph model; test=develop (#21157)

* fix ExecutionContext::HasInput and ExecutionContext::HasOutput depend on the scope structure, test=develop (#20721)

* set dim[0] to -1 if dim[0] < 0 and remove assertion to runtime, test=develop

* fix transpose conv,test=develop

* fix comments
test=develop

* Improve argsort performance.

- Give 200000 data to compute argsort on v100,
can speed up ~190x
before opt cost: 0.53s
after opt cost:0.0027s

- Add fp16 support

* Refine error message
* Refine code
* Add descending sort

test=develop
Signed-off-by: Nzhaoyuchen <zhaoyuchen01@baidu.com>

* add Adam beta1/beta2 support Variable. test=develop

* Add Asypadding for conv fusion.

test=develop

reference: pr/20042

* Fix eigen build link error

* Change back file mode

* Use math function & add more checks.

* add the framework support for distfc and ut, test=develop
* fix the implementation of shard_index_op, test=develop

* batch_norm momentum support variable. test=develop

* support dump param of model into afs (#20302)

* support dump param to afs
test=develop

* code style
test=develop

* code style
test=develop

* dump param
test=develop

* dump param
test=develop

* dump param
test=develop

* dump param
test=develop

* find lookup table in order (#20932)

test=develop

* cherry-pick
test=develop

* solve pslib core in stop worker
test=develop

* print table stat info for pslib
test=develop