* Remove the NGraph engine from PDPD repository
1. Each operator was removed from the operator's directory
2. Each test was removed from the unittest directory
3. The parallel executor support was removed from the PDPD
4. The CMake file was removed from the PDPD
5. The NG flags were removed from the repository
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* Remove ngraph from:
1. Cmake file
2. Python file
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* 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 80aef42ef52ba1ee79627d6f663a624ec4f12f58.
* 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
* 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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* 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
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* 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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* 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
* Polish the PADDLE_ENFORCE in fusion_group pass related codes.
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* Correct the unittest because of the change relu_grad's formula.
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* 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.
test=develop
* 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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* Refine the calling of PADDLE_ENFORCE.
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* optimize adam speed by removing _finish_update test=develop
* fix SparseAdamFunctor param list test=develop
* Remove scale_op in expect_list of adam_op test=develop
* fix test optimizer loss assert error test=develop
* fix test optimizer loss assert error test=develop
* modify PADDLE_ENFORCE usage test=develop
* fix op_type in lamb_op.cc test=develop
* fix errors ostream format bug test=develop
* add betaPowOut in ngraph op test=develop
* fix ngraph::op api for gcc8 test=develop
* clean code test=develop
* modify struct into class test=develop
* remove code of beta1Tensor in lamb_op test=develop
* fc-dequantize squash
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* change according to reviews
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* change PADDLE_ENFORCE
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* add second test when fc-dequant do not fuse
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* change all related PADDLE_ENFORCE
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* Implement Int8 FC
* Integrate FC into INT8v2
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* int8 FC: transpose weights before computing scales
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* Add support for activation_type string in FC
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* Disable MKL-DNN's FC in VGG16 and 19
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* Disable FC quantization when mkldnn FC is disabled
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* Solve PADDLE_ENFORCES in FC int8
* Fix Paddle enforces and remove const cast
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* Fix style changes
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* Fix quantizer_tester test and add fc quantization
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* Fix FC test fail on CUDA
* Remove unnecessary log from quantize placement pass
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* Add Thread ID to FC hash key
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* Add comments to MKL-DNN FC Kernel
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* Refactor quantizer
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* Fix linter issues
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* Fix crash in slim googlenet
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* Fix PADDLE_ENFORCE messages
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* Add fc padding to solve mkl performance
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* fix gpu pass and error information
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* fix fc_fuse_pass_test
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* fix error information
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* fix error information
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* fix name and add fc op padding test
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* fix attributes
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* optimize fc padding
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* fix test
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* Disable fusion_group pass for windows and mac. We will do some experiments on Linux first.
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* Print the subgraph when check failed.
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* 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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* Add the definition of operation in fusion_group.
* Use operations in OperationMap to detect fusion_group of elementwise pattern.
* Add namespace fusion_group in code_generator.
* Use operations recorded in OperationMap to generate code.
* Remove implementation codes to .cc file.
* Refine Operation and CodeGenerator to make it easier to generate code for grad_op.
Refine the unittest for better reuse.
* Avoid recording the template's keyword in a array.
* Support the generating of code for grad_op and add unittest.
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* Remove replaced_element_in_order and use use number instead.
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* support no need buffer vars in dygraph, test=develop
* fix inference compilation error, test=develop
* update no_need_buffer_vars_inference, test=develop
* add unittests for no_need_buffer_vars_context, test=develop
* refine no_need_buffer_vars by return ref, test=develop
* polish some codes, test=develop
* Add fusion_group_pass and elementwise pattern.
* Rewrite the detector of elementwise group.
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* Add a comment in codegen.
* Add more unittest cases.
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* Move code_generator related code to fusion_group directory.
* Correct the including path.
* Add the definition of SubGraph and finish the insert of fusion_group op in pass.
* Insert graph_vis_pass in tester to visualize the graph for debug.
* Follow Wangzhen's comment in PR 18970, test=develop
* Review comments, test=develop
* Leave fake quantization around mul
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* Replace Fake with Real Quantized Mul
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* Fix bug in quantize placement pass
Nodes in the graph now have checked type instead of node name when they are to be marked for quantization test=develop
* Add fc_elementwise_layernorm_fuse pass and unittest.
* Add fused_fc_elementwise_layernorm op and its GPU kernel.
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* Apply fc_elementwise_layernorm_fuse_pass to GPU inference.
* Add the setting of attrs in the definition of binary_op.
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* Add comment.
* Implement the unittest.
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* Change the unittest name of layer_norm.
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* Refine the codes related to fc op.
* Add GPU implementation for fc functor.
* Apply fc_fuse_pass in GPU inference.
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* Change the cmake for fc op.
* Change PADDLE_ENFORCE to PADDLE_ENFORCE_EQ.
* Add an attribute to set the activation type in fc_op.
* Enhance the unittest of fc_op.
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* Remove the declaration of FCOpGrad back to the header file.
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* Set default value for newly added arguments in test_fc_op.
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* Enhance fc_fuse_pass to enable fusing relu.
* Allow print the shapes of var_desc in graph.
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* Enhance fc_fuse_pass_tester.
* Remove the use of PADDLE_ENFORCE.
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* Correct the number of ops after fusing.
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* Fix a typo.
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* Set activation_type to null when there is no relu in fc.
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* Refine fc_fuse_pass's codes.
* Enable the set of shape for tensor.
* Refine repeated_fc_relu_pass and add unittest.
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* Open fuse all reduce op
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* Add Fuse optimization op log
* Add log in fuse_optimizer op pass and fuse all_reduce op pass
* replace with boost::optional<bool>
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* Polish code
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* fix code coverage
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* Refine the codes related to fc op.
* Add GPU implementation for fc functor.
* Apply fc_fuse_pass in GPU inference.
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* Change the cmake for fc op.
* Change PADDLE_ENFORCE to PADDLE_ENFORCE_EQ.
* Add an attribute to set the activation type in fc_op.
* Enhance the unittest of fc_op.
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* Remove the declaration of FCOpGrad back to the header file.
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* Set default value for newly added arguments in test_fc_op.
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* Add a interface to enable cudnn for inference.
* Add cudnn_placement_pass.
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* Set the default value of cudnn_enabled_op_types to null.
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* Write the common basic class, placement_pass_base, to refine the codes.
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* Call EnableCUDNN in unittest.
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* Refine cudnn_placement_pass tester.
* Enable the testing of cudnn_placement_pass in inference's unittest.
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* Add the check of op kernels.
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* Add simplify_with_basic_ops_pass to replace dropout_op with scale_op when is_test is true.
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* Delete dropout_op directly when upscale_in_train is true.
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* Improve the debug string, adding the print of op_desc information.
* Fix the case when dropout's input x is reused as the next op's output.
* Add the pass to inference.
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* Change the log level.
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* Add unittest for inplace case.
* Add comment to explain the pass.
* Apply the pass for CPU inference.
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* Fix the typo.
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* Add the check of AttrType.
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* fix correctness of the communicator
* fix a bug in send thread when sending var context is empty, test=develop
* add lookup_table_prefetch_op and prefetch optimize, test=develop
* remove remote prefetch GPU supported
* word2vec force with CPU, test=develop
* test dist remote lookup table force with CPU, test=develop
* open gc by default, test=develop
* fix test_train_recognize_digits and disable gc when ngraph is enabled, test=develop
* fix conditional_block op eager deletion bug, test=develop
* add some comments to reviewers, test=develop
* update paddle-trt for:
1. fix bug: when batch > 2, core in split plugin.
2. add leaky_relu trt5.0 support (yolov3 from 65ms to 42ms.)
3. add new attr to dropout.
4. shuffle channel, swish, relu6 support
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* 1. fix ci
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Test PaddingRNN on V100 GPU device.
Test configuration: large model, padding mode (which is the mode using recurrentOp), one GPU.
GPU memory (MiB): 6414 (this PR) vs 6837 (without this PR)
Speed (steps/s): 10.28 (this PR) vs 9.89 (without this PR)
* Fix Mask rcnn predictor
1. refine memory optim algorithm to support the model with the block op.
2. output diff : modify the affine channel fuse
3. add condition_block_infer op
add interface for setting trt calib table dir
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* add the missing files.
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* Enhance fused_elementwise_activation op.
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* Move the api fused_elementwise_activation to contrib.
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* Add including files.
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* Add the support of sigmoid in fused_elementwise_activetion op.
* Update API.spec.
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* add Concat quantization
add unit test for quantizing concat
fix for wrong value when the input is not in map of calculated scales
add use_quantizer to concat_op.cc
add scale_algo rules for concat
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* missing fix for multiple inputs quantize-squash
* wojtuss review fix: adding comment
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* fluid int8 train and trt int8 predict align.
trt int8 predict init
op converter
* 2. align fluid int8 train and trt int8 inference.
enhance quant dequant fuse pass
enhance op converter, trt engine, trt engine op, trt subgraph pass.
* 3. add delete_quant_dequant_pass for trt
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* 4. add the missing file
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* 5. i modify the c++ interface, but forget to modify the pybind code
fix the IS_TRT_VERSION_GE bug, and fix elementwise op converter
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* fuse mul and elementwise add to fc
* Reimplement the FC forward operator
* Fix FC MKLDNN integration by transposing weights
* Add FC MKLDNN Pass
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* FC MKLDNN Pass: change memcpy to std::copy
* Fix MKLDNN FC handling of mismatch input and weights dims
* Lower tolerance for MKL-DNN in resnet50 test
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* Adjust FC to support MKLDNN Op placement
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* Adjust Placement Op to set use_mkldnn attribute for graph
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* MKLDNN FC: fix weights format so that gemm version is called
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* FC MKLDNN: Remove tolerance decrease from tester_helper
* FC MKL-DNN: Refactor the code, change input reorder to weight reorder
* MKL-DNN FC: Introduce operator caching
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* FC MKL-DNN: Fix the tensor type in ExpectedKernelType
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* FC MKL-DNN: fix style changes
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* FC MKL-DNN: fallback to native on non-supported dim sizes
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* FC MKLDNN: fix CMake paths
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* FC MKLDNN: Refine placement pass graph mkldnn attribute
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* Fix Transpiler error for fuse_conv_eltwise
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* Fix missing STL includes in files
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* FC MKL-DNN: Enable new output size computation
Also, refine pass to comply with newest interface.
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* FC MKL-DNN: enable only when fc_mkldnn_pass is enabled
* FC MKL-DNN: Allow Weights to use oi or io format
* FC MKL-DNN: Adjust UT to work with correct dims
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* Enable MKL DEBUG for resnet50 analyzer
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* FC MKL-DNN: Improve Hashing function
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* FC MKL-DNN: Fix shape for fc weights in transpiler
* FC MKL-DNN: Update input pointer in re-used fc primitive
* Add log for not handling fc fuse for unsupported dims
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* FC MKL-DNN: Move transpose from pass to Op Kernel
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* FC MKL-DNN: Disable transpose in unit test
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* FC MKL-DNN: Remove fc_mkldnn_pass from default list
* Correct Flag for fake data analyzer tests
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* FC MKL-DNN: Add comment about fc mkldnn pass disablement
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* FC MKL-DNN: Disable fc in int8 tests
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Yiqun Liu
Zeng Jinle
joanna.wozna.intel
Chen Weihang
chenhaoze
mozga-intel
wangchaochaohu
Kaipeng Deng
Jacek Czaja
Wojciech Uss
Tao Luo
Wilber
Sylwester Fraczek
Zhaolong Xing
liu zhengxi
tianshuo78520a
GaoWei8
石晓伟
Michał Gallus
lidanqing
Zhen Wang
Pei Yang
Aurelius84
zhouwei25
WangXi
hong
wopeizl
zhaoyuchen2018
Adam
bingyanghuang
chengduo
baojun
tangwei12
liuwei1031
juncaipeng
chengduo
Huihuang Zheng
gongweibao
gongweibao