1. Considering functions, I have to change the node type from single value to a set. Because python function is allowed to return different types. The set represent all possible types
2. I added scope_name and scope_type for AstVarScope, because in python functions, variable may have different scope. For example:
```
a = 3
def foo(b):
a = 9
return a + b
```
the `a` in `foo` is different to the `a` out of `foo`. Similar to class field. The scope_name will help me to know the function name when static analysis finds a `return` sentence.
* Add two types of Metric Calculator: MultiTaskCalculator & CmatchRankCalculator.
* Add a config for DynamicAdjustChannelNum function to denote whether we will discard the remaining instances when they are not be distributed evenly.
* Remove CPU code in Pull/PushSparse and we will add it back when testing it fully.
* Fix some known issues: such as copying persistable vars after one epoch running.
* add partial_concat, test=develop
* fix the grids and blocks, test=develop
* fix the Paddle_Enforce, test=develop
* fix the doc of op, test=develop
* fix the doc, test=develop
* fix the doc of the op, test=develop
* replace -1 with None, test=develop
* support dygraph to static graph for simple case.
* add test for dygraph API recognition. test=develop
* support basic to_variable api. test=develop
* update dict: dygraph_class_to_static_api
* add all tests of dygraph api. test=develop
* use gast/astor instead of ast/codegen for the compatibility of PY2 and PY3. test=develop
* add arg 'num_flatten_dims' for fc ast node. test=develop
* Modify names of class by Camel-Case.
* support nested if/else
* support to derivate returns the parameter list automatically
* polish tranform function of slice
* fix modify x.numpy()[i] slice function
* support to transform ast.node into callable function
* fix get_name_ids bug and add more unittest test=develop
* fix requirements.txt test=develop
* remove useless import statement test=develop
* Fixed version compatibility issues in param of function test=develop
* use decorater to test ast_to_func test=develop
* add textwrap.dedent for source_code test=develop
* polish code comment
* fix compatibility with python2 and python3 test=develop
* fix gast version error test=develop
* fix gast repo test=develop
* polish transfer_from_node_type code test=develop
* add nested_if_else unittest test=develop
* split IfElseTransformer test=develop
* specify gast version test=develop
* fix ast_to_func root type test=develop
* improve the mul_mkldnn_op line coverage
test=develop
* remove fp32 mul mkldnn kernel
test=develop
* locally refactoring
test=develop
* change according to reviews
test=develop
* add get delay for multiprocess data loader, test=develop
* add unittest for coverage ci, test=develop
* add timeout unittest, test=develop
* increase the delay time, test=develop
* Add TopK Op Grad CPU&GPU Kernel test=develop
* Add TopK Op Grad, modify grad op maker test=develop
* Add TopK Op Grad, modify grad op maker test=develop
* Add TopK Op Grad, modify PADDLE_ENFORCE test=develop
* Add TopK Op Grad, modify PADDLE_THROW test=develop
* Add TopK Op Grad, modify unittest test=develop
* fix ngraph top k op unittest test=develop
* update ops's unittest of elementwise_pow, elementwise_max, elementwise_min, scale and sqrt
1. update elementwise_pow, elementwise_max and scale's unitests with input data type (float32 -> float64)
2. fix bug that the elementwise_pow doesn't meet threshold requirements with tackling float64 data
3. remove sqrt from op_accuracy_white_list.py
4. update the unittests of elementwise_pow, elementwise_max and elementwise_min ops that their input data shape over 100
5. test=develop
* modify the writing style according suggestions
test=develop
* Add support for dynamic_decode(while) training. test=develop
* Fix assign_op and tensor_array_read_write_op after solving conflict. test=develop
* Fix test_rnn_decode_api.py. test=develop
* Refine docs for apis in rnn.py. test=develop
* Adjust outputs of dynamic_decode. test=develop
* Remove the force_cpu update in assign_op. test=develop
* Remove the force_cpu update in assign_op. test=develop
* Make RNNCell.get_initial_states support batch_dim_idx argument. test=develop
* Rename _create_array_outof_while as _create_array_out_of_while in rnn.py.
test=develop
* support slice double grad, test=develop
* merge two doublegradopmaker to one doublegradopmaker,test=develop
* change the shape of slice_OP's unittest, test=develop
This PR provides very basic and simple framework for transforming Dygraph to Static Graph.
API names, final outputs are not determined yet. Feel free to modify or add class/function/type when you think the framework is not extendable for you.
* 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.
test=develop
* Call CUDA driver api to launch the kernel compiled by nvrtc.
test=develop
* Disable for mac and windows.
test=develop
* Refine the codes to support manually specified num_threads and workload_per_thread.
test=develop
* Refine the CUDA kernel to support large dims.
test=develop
* 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.
test=develop
* Add comment to explain the inputs, outputs and features of fusion_group op.
test=develop
* Disable fusion_group op for mac and windows.
test=develop
* Make the compiling of device code return status instead of hanging up.
test=develop
* 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.
test=develop
* Add the check of CUDA driver library in unittest.
test=develop
* 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.
test=develop
* Improve the loading statements in generated codes.
test=develop
* Remove unused arguments from formal list.
test=develop
* 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.
test=develop
* 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)
test=develop
* Call subgraph_detector in fusion_group pass.
test=develop
* Disable fusion_group when WITH_GPU is OFF.
test=develop
* Refine all PADDLE_ENFORCE message.
test=develop
* Fix the case that some inputs are not defined in grad ops, and set op_role for fused op.
test=develop
* Follow review comments.
test=develop
* Implement a common python unittest to test the ir passes.
test=develop
* Save the results in np.array and support to startup on CPU.
test=develop
* Fix the unittest.
test=develop
* Add check_program to check whether the optimized program is different from the origin one.
test=develop
* Remove the inferface all_ops.
test=develop
* Add exception test in pass_test.
test=develop
* Fixed warpctc, test=develop
* Set lod level of sequence_unpad's output to 1 in compile time
test=develop
* fix the en doc and example code of warpctc, test=develop, test=document_fix
* add NotImplementedError for multi optimizers used on multi-places . test=develop
* assert error only if num_devices>1. test=develop
* set test_optimizer_in_control_flow in CMakeLists for using multi-GPU.test=develop
* add bn and relu fuse pass
* add op attr assert and dtype assert
* fix some inputs&&outputs bugs for the fused op and pattern.
* add the unittest for fuse_bn_act_pass. test=develop
* use normative enforce statements. test=develop
* add the cpu test. test=develop
* add the support of batch_size=1 for the bn with relu op. test=develop
* add the error type for paddle throws. test=develop
* add fused_batch_norm_act and fused_batch_norm_act_grad to op_has_unsed_vars_white_list. test=develop
tianshuo78520a
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Yang Zhang
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Wojciech Uss
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123malin
zhouwei25
Chen Weihang
Kaipeng Deng
Jiawei Wang
xiaoting
guofei
Steffy-zxf
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Zhaolong Xing
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yaoxuefeng
zhaoyuchen2018
liu zhengxi
Wilber
Tao Luo
Bai Yifan
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石晓伟
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whs
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zhongpu
danleifeng
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FlyingQianMM
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