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@mxnet-label-bot add [Operator, pr-awaiting-review] |
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LGTM pending doc enhancement
return true; | ||
} | ||
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NNVM_REGISTER_OP(_contrib_dgl_graph_compact) |
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Please also update ndarray/contrib.md and symbol/contrib.md
src/operator/contrib/dgl_graph.cc
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csr_neighbor_uniform_sample and csr_neighbor_non_uniform_sample. | ||
The CSR matrices generated by these two operators may have many empty | ||
rows at the end. This operator removes these empty rows and empty columns. | ||
Example:: |
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Extra line
src/operator/contrib/dgl_graph.cc
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NNVM_REGISTER_OP(_contrib_dgl_graph_compact) | ||
.describe(R"code(This operator compacts a CSR matrix generated by | ||
csr_neighbor_uniform_sample and csr_neighbor_non_uniform_sample. |
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I think the name csr_neighbor_uniform_sample has been changed
src/operator/contrib/dgl_graph.cc
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subg_v = subgs[0] | ||
subg = subgs[1] | ||
compacts = mx.nd.contrib.dgl_graph_compact(subg, subg_v, | ||
graph_sizes=(subg_v[-1].asnumpy()[0])) |
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Can you also print the input/output if dgl_graph_compact?
src/operator/contrib/dgl_graph.cc
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size_t num_elems = csr.aux_data(csr::kIdx).shape_.Size(); | ||
// The last element in vids is the actual number of vertices in the subgraph. | ||
CHECK_EQ(vids.shape()[0], in_ptr_data.shape_[0]); | ||
CHECK_EQ((size_t) row_ids[vids.shape()[0] - 1], graph_size); |
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nit nit: use static_cast
Please follow doc style in #13463 |
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Hi guys, this PR breaks the docs. Specifically, I think I need to remove these from the Symbol Contrib API docs page: |
@aaronmarkham good catch. No concern from my side. Thanks for pointing that out! |
…ile (#13478) * updated to v1.5.0 * Bumped minor version from 1.4.0 to 1.5.0 on master * added Anirudh as maintainer for R package ... adding something useful and re-trigger PR check * Updated license file for clojure, onnx-tensorrt, gtest, R-package * Get the correct include path in pip package (#13452) * add find_include_path API * address reviewer comment * change return type from list to string * add unit test * address reviewer comment * address reviewer comment * address reviewer comment * address reviewer comment * fix include path problem in pip package * add comment * fix lint error * address reviewer comment * address reviewer comment * Use ~/.ccache as default ccache directory so is not cache is not erased on reboot (#13431) * Skip flaky test #13446 (#13480) * Rewrite dataloader with process pool, improves responsiveness and reliability (#13447) * fix recordio.py * rewrite dataloader with pool * fix batch as tuple * fix prefetching * fix pylint * picklable function * use pickle * add missing commit * Fix errors in docstrings for subgraph op; use code directive (#13463) * [MXNET-1158] JVM Memory Management Documentation (#13105) * update train_mnist * Add documentation for JVM Memory Management * update doc * address nit picks * address nit picks * Grammar and clarity edits for memory management doc * Edits for scala memory management * Update memory-management.md * Update memory-management.md * Update memory-management.md * capitalization fix * Update row_sparse tutorial (#13414) Update row_sparse tutorial * Add resiliency to onnx export code (#13426) * Added resiliency to onnx export code - With previous infer-shape implementation, if input shape was list instead of tuple or if extra non-existent parameters were provided, the code would still work. The fixes in this commit make sure that behavior is restored to prevent any compatibility issues with existing export code. * Fixed name of net in unittest * Fix pylint * [MXNET-1185] Support large array in several operators (part 1) (#13418) * fix a few operators with large arrays (# of elements) * fix bug in broadcast_div and add tests * address reviewer comment * add unit test * add empty line * retrigger CI * [MXNET-1210 ] Gluon Audio - Example (#13325) * Initialized the example * Addressed PR comments, about existing synset.txt file - no overwrite * RST - docstring issues fixed * added README * Addressed PR comments * Addressed PR comments, checking Divide by 0 * Raising error if format is not supported. * changed a line for ndarray of labels * Trigger CI * Trigger CI * PR comments addressed around skip_header argument * Addressed PR comments around librosa import * PR Comments * Passing lazy=lazy from argument * Added PR comments, labels to README.MD * Trigger CI * Addressing PR Comments in README * Modified README.md * Added example under audio folder * Retrigger CI * Retrigger CI * ONNX export: Instance normalization, Shape (#12920) * ONNX import/export: Make backend_rep common * ONNX export: Instance Normalization * ONNX export: Shape operator * Clarify dependency on OpenCV in CNN Visualization tutorial. (#13495) * clarify ops faq regarding docs strings (#13492) * Add graph_compact operator. (#13436) * add graph_compact. * fix. * add doc. * add tests for graph_compact. * address comments. * update docs. * trigger CI * Deprecate Jenkinsfile (#13474) * update github location for sampled_block.py (#13508) Updated to /~https://github.com/dmlc/gluon-nlp/blob/master/src/gluonnlp/model/sampled_block.py * #13453 [Clojure] - Add Spec Validations to the Optimizer namespace (#13499) * ONNX export: Logical operators (#12852) * Fix cmake options parsing in dev_menu (#13458) Add GPU+MKLDNN unittests to dev_menu * Revert "Manually track num_max_thread (#12380)" (#13501) This reverts commit 7541021. * Feature/mkldnn static 2 (#13503) * build mkldnn as static lib * update makefile to statically build mkldnn * build static mkldnn * fix static name * fix static name * update static for mac * rename mkldnn dep in ci * remove moving mkldnn dynamic lib * remove commented code * remove mkldnn dnaymic for unitest * force static for mkldnn lib * remove dynamic mkldnn bind * only link windows * add mkldnn.mk * try force linking * remove mkldnn dynanmic check * remove test mkldnn install * fix spacing * fix index * add artifacts * add comment about windows * remove static * update makefile * fix toctree Sphinx errors (#13489) * fix toctree errors * nudging file for CI * Disabled flaky test test_gluon_data.test_recordimage_dataset_with_data_loader_multiworker (#13527) * [MXNET-1234] Fix shape inference problems in Activation backward (#13409) * Provide a failing test for ReLU activation shape inference bug * Fix Activation backward shape inference fixes: #13333 * Add softsign Activation to test_gluon.py * Use activation in GPU if we are using CUDNN and not MKLDNN as it's happening right now * Don't disable MKLDNN
* add graph_compact. * fix. * add doc. * add tests for graph_compact. * address comments. * update docs. * trigger CI
…ile (apache#13478) * updated to v1.5.0 * Bumped minor version from 1.4.0 to 1.5.0 on master * added Anirudh as maintainer for R package ... adding something useful and re-trigger PR check * Updated license file for clojure, onnx-tensorrt, gtest, R-package * Get the correct include path in pip package (apache#13452) * add find_include_path API * address reviewer comment * change return type from list to string * add unit test * address reviewer comment * address reviewer comment * address reviewer comment * address reviewer comment * fix include path problem in pip package * add comment * fix lint error * address reviewer comment * address reviewer comment * Use ~/.ccache as default ccache directory so is not cache is not erased on reboot (apache#13431) * Skip flaky test apache#13446 (apache#13480) * Rewrite dataloader with process pool, improves responsiveness and reliability (apache#13447) * fix recordio.py * rewrite dataloader with pool * fix batch as tuple * fix prefetching * fix pylint * picklable function * use pickle * add missing commit * Fix errors in docstrings for subgraph op; use code directive (apache#13463) * [MXNET-1158] JVM Memory Management Documentation (apache#13105) * update train_mnist * Add documentation for JVM Memory Management * update doc * address nit picks * address nit picks * Grammar and clarity edits for memory management doc * Edits for scala memory management * Update memory-management.md * Update memory-management.md * Update memory-management.md * capitalization fix * Update row_sparse tutorial (apache#13414) Update row_sparse tutorial * Add resiliency to onnx export code (apache#13426) * Added resiliency to onnx export code - With previous infer-shape implementation, if input shape was list instead of tuple or if extra non-existent parameters were provided, the code would still work. The fixes in this commit make sure that behavior is restored to prevent any compatibility issues with existing export code. * Fixed name of net in unittest * Fix pylint * [MXNET-1185] Support large array in several operators (part 1) (apache#13418) * fix a few operators with large arrays (# of elements) * fix bug in broadcast_div and add tests * address reviewer comment * add unit test * add empty line * retrigger CI * [MXNET-1210 ] Gluon Audio - Example (apache#13325) * Initialized the example * Addressed PR comments, about existing synset.txt file - no overwrite * RST - docstring issues fixed * added README * Addressed PR comments * Addressed PR comments, checking Divide by 0 * Raising error if format is not supported. * changed a line for ndarray of labels * Trigger CI * Trigger CI * PR comments addressed around skip_header argument * Addressed PR comments around librosa import * PR Comments * Passing lazy=lazy from argument * Added PR comments, labels to README.MD * Trigger CI * Addressing PR Comments in README * Modified README.md * Added example under audio folder * Retrigger CI * Retrigger CI * ONNX export: Instance normalization, Shape (apache#12920) * ONNX import/export: Make backend_rep common * ONNX export: Instance Normalization * ONNX export: Shape operator * Clarify dependency on OpenCV in CNN Visualization tutorial. (apache#13495) * clarify ops faq regarding docs strings (apache#13492) * Add graph_compact operator. (apache#13436) * add graph_compact. * fix. * add doc. * add tests for graph_compact. * address comments. * update docs. * trigger CI * Deprecate Jenkinsfile (apache#13474) * update github location for sampled_block.py (apache#13508) Updated to /~https://github.com/dmlc/gluon-nlp/blob/master/src/gluonnlp/model/sampled_block.py * apache#13453 [Clojure] - Add Spec Validations to the Optimizer namespace (apache#13499) * ONNX export: Logical operators (apache#12852) * Fix cmake options parsing in dev_menu (apache#13458) Add GPU+MKLDNN unittests to dev_menu * Revert "Manually track num_max_thread (apache#12380)" (apache#13501) This reverts commit 7541021. * Feature/mkldnn static 2 (apache#13503) * build mkldnn as static lib * update makefile to statically build mkldnn * build static mkldnn * fix static name * fix static name * update static for mac * rename mkldnn dep in ci * remove moving mkldnn dynamic lib * remove commented code * remove mkldnn dnaymic for unitest * force static for mkldnn lib * remove dynamic mkldnn bind * only link windows * add mkldnn.mk * try force linking * remove mkldnn dynanmic check * remove test mkldnn install * fix spacing * fix index * add artifacts * add comment about windows * remove static * update makefile * fix toctree Sphinx errors (apache#13489) * fix toctree errors * nudging file for CI * Disabled flaky test test_gluon_data.test_recordimage_dataset_with_data_loader_multiworker (apache#13527) * [MXNET-1234] Fix shape inference problems in Activation backward (apache#13409) * Provide a failing test for ReLU activation shape inference bug * Fix Activation backward shape inference fixes: apache#13333 * Add softsign Activation to test_gluon.py * Use activation in GPU if we are using CUDNN and not MKLDNN as it's happening right now * Don't disable MKLDNN
Description
dgl_graph_compact works with
csr_neighbor_uniform_sample
andcsr_neighbor_non_uniform_sample
. These two sampling operators create CSR matrices with many empty rows. This operator compacts these CSR matrices.Checklist
Essentials
Please feel free to remove inapplicable items for your PR.
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