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* Integrate matmul with cpu_quantize_pass

test=develop

* Add matmul checking scales

test=develop

* Change condition of matmul quantization

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* Remove redundant var

test=develop

* fix inplace_abn windows compile error. test=develop

* add inplace_abn_op. test=develop

* add attr support for fusion group and add support for fill_constant and scale Op

test=develop

* sequential reader stage 1, test=develop

* fix ut, test=develop

* fix iterable=False reset bug, add some logs and polish code, test=develop

* inference feed partial data, test=develop

* Turn on keep_order=True for test, test=develop

* enhance ut to test more cases, test=develop

* test commit for reverting

* Revert "test commit for reverting", test=develop

This reverts commit 80aef42e.

* add ut of merged and unmerged results, test=develop

* add more uts for coverages and add en doc of api, test=develop

* follow comments, test=develop

* change note style, test=develop

update embedding_eltwise_layernorm fuse pass and fused kernel, to support multi input

* add fusion group test for backward and refine code

* add support for expression type convert and add cast Op support in fusion group

* add skip_layernorm pass. test=develop

* 1. add embedding eltwise layernorm fuse
2. add embedding eltwise layernorm op
3. refine inplace_add_relu
4. refine fc_eltwise_layernorm
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* 1. refine fc
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* fix comments
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* fix comments

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* fix fc padding during fusion, test=develop

* fix optim model inference after SaveOptimModel, test=develop

* Add the codegen and auto fusion for sum Op  in fusion group

* Add an interface of disabling FC padding
* fix bert regression
* polish fc padding interface
* recover pass function
* fix argument error
* fix mkldnn error

当一个模型中有多个fc_lstm子图的时候，且其中fc共用了同一个persistable的bias，此时不应该将bias节点删除，只将非persistable的节点去除即可。

* 1. optim multihead matmul: fuse three fc to multihtead matmul

test=develop

* fix conflict
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* fix comments
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* Add the first implememtation of fusion_group op #19621 (#3)

* Add the dynamic load of nvrtc, and support runtime compiling of CUDA kernel using nvrtc.
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* Call CUDA driver api to launch the kernel compiled by nvrtc.
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* Disable for mac and windows.
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* Refine the codes to support manually specified num_threads and workload_per_thread.
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* Refine the CUDA kernel to support large dims.
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* Add DeviceCodePool to manage all device codes.

* Add the first implementation fusion_group op.

* Add unit-test for fusion_group op.

* Add the check of result.

* Add the check of nvrtc in unit-test.
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* Add comment to explain the inputs, outputs and features of fusion_group op.
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* Disable fusion_group op for mac and windows.
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* Make the compiling of device code return status instead of hanging up.
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* Add the check of whether there is CUDA driver library, and do not core dump when failing to call the CUDA driver API.

* Unify fusion_group_op's input and output names.
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* Add the check of CUDA driver library in unittest.
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* Enable generating code for a given subgraph. #21126 (#4)

* Enable generating code for a given subgraph.

* Support sorting the subgraph.

* Remove the rearange of expressions because we use the sorted subgraph directly.

* Enable generating code for a subgraph which is composed of grad ops.

* Use expression information to check the accuracy in unittest.

* Separate load and store from computation expressions.
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* Improve the loading statements in generated codes.
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* Remove unused arguments from formal list.
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* Enable the detection of subgraph of grad ops.

* Generate code for detected subgraph in fusion_group_pass.

* Add an option in BuildStrategy to enable fusion_group_pass and add unittest.
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* Fix a bug when checking whether the shape of all inputs are the same.

* Add debug information.

* Remove subgraph_detector from inference/analysis to the common framework/ir directory. (#5)

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* Call subgraph_detector in fusion_group pass.
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* Disable fusion_group when WITH_GPU is OFF.
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* Refine all PADDLE_ENFORCE message.
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* Fix the case that some inputs are not defined in grad ops, and set op_role for fused op.
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* Follow review comments.
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* Add dequant scale squash

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* Correct dequant-scale squash test

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cmake选项中添加了WITH_NCCL，显示指定是否编译NCCL的部分代码，WITH_NCCL默认打开，但如果WITH_GPU为OFF，则关闭WITH_NCCL

添加了PADDLE_WITH_NCCL定义

单机单卡能够关闭NCCL编译，多卡的话需要默认打开NCCL，如果关闭NCCL，则只能使用单卡
Co-authored-by: N石晓伟 <39303645+Shixiaowei02@users.noreply.github.com>

* Enable quantize to reorder to nchw as well

* Correct FC MKL-DNN input dim requirements to accept 3D

* Improve DNNL FC format, error and 3D input handling

test=develop

* Improve error checking in FC

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* Improve PADDLE_ENFORCE messages in fc-related files

* Remove data layout attribute from obligatory pass args

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* Fix message in fc_mkldnn_pass to be logically correct

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* Implement a common python unittest to test the ir passes.
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* Save the results in np.array and support to startup on CPU.
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* Fix the unittest.
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* Add check_program to check whether the optimized program is different from the origin one.
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* Remove the inferface all_ops.
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* Add exception test in pass_test.
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