ArmageddonKnight opened a new pull request #17656: [MXNET-1404] Implement storage tagging, the first half of the memory profiler URL: https://github.com/apache/incubator-mxnet/pull/17656 ## Description ## implement storage tagging, the first half of the memory profiler ## Checklist ## ### Essentials ### Please feel free to remove inapplicable items for your PR. - [x] The PR title starts with [MXNET-$JIRA_ID], where $JIRA_ID refers to the relevant [JIRA issue](https://issues.apache.org/jira/projects/MXNET/issues) created (except PRs with tiny changes) - [x] Changes are complete (i.e. I finished coding on this PR) - [x] Code is well-documented: - For user-facing API changes, API doc string has been updated. - For new C++ functions in header files, their functionalities and arguments are documented. - For new examples, README.md is added to explain the what the example does, the source of the dataset, expected performance on test set and reference to the original paper if applicable - Check the API doc at http://mxnet-ci-doc.s3-accelerate.dualstack.amazonaws.com/PR-$PR_ID/$BUILD_ID/index.html - [x] To the my best knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change ### Changes ### - [x] This PR is the first half of the GPU memory profiler. It implements storage tagging which adds profiler scope, name, and data structure information to each allocated storage handle. #### Example #### ```Python profiler.set_state('run') model = nn.HybridSequential(prefix='net_') with model.name_scope(): model.add(nn.Dense(128, activation='tanh')) model.add(nn.Dropout(0.5)) model.add(nn.Dense(64, activation='tanh'), nn.Dense(32, in_units=64)) model.add(nn.Activation('relu')) model.initialize(ctx=mx.gpu()) model.hybridize() inputs = mx.sym.var('data') with mx.autograd.record(): out = model(mx.nd.zeros((16, 10), ctx=mx.gpu())) out.backward() mx.nd.waitall() profiler.set_state('stop') profiler.dump(True) ``` The code snippet above will generate the following `gpu_memory_profile.csv`: | "Attribute Name" | "Requested Size" | "Device" | "Actual Size" | "Reuse?" | |-----------------------------------------------------|------------------|----------|---------------|----------| | "<unk>:head_grad:_head_grad_0" | "2048" | "0" | "4096" | "1" | | "<unk>:in_arg:data" | "640" | "0" | "4096" | "0" | | "data_entry:net:relu0:net_relu0_fwd" | "2048" | "0" | "4096" | "0" | | "net:arg_grad:net_dense0_bias" | "512" | "0" | "4096" | "0" | | "net:arg_grad:net_dense0_weight" | "5120" | "0" | "8192" | "0" | | "net:arg_grad:net_dense1_bias" | "256" | "0" | "4096" | "0" | | "net:arg_grad:net_dense1_weight" | "32768" | "0" | "32768" | "0" | | "net:arg_grad:net_dense2_bias" | "128" | "0" | "4096" | "0" | | "net:arg_grad:net_dense2_weight" | "8192" | "0" | "8192" | "0" | | "net:dense0:data_entry:net_dense0_fwd" | "8192" | "0" | "8192" | "0" | | "net:dense0:tanh:data_entry:net_dense0_tanh_fwd" | "8192" | "0" | "8192" | "0" | | "net:dense1:data_entry:net_dense1_fwd" | "4096" | "0" | "4096" | "0" | | "net:dense1:tanh:data_entry:net_dense1_tanh_fwd" | "4096" | "0" | "4096" | "0" | | "net:dense2:data_entry:net_dense2_fwd_backward" | "4096" | "0" | "4096" | "0" | | "net:dropout0:data_entry:net_dropout0_fwd" | "8192" | "0" | "8192" | "0" | | "net:in_arg:net_dense0_bias" | "512" | "0" | "4096" | "0" | | "net:in_arg:net_dense0_weight" | "5120" | "0" | "8192" | "0" | | "net:in_arg:net_dense1_bias" | "256" | "0" | "4096" | "0" | | "net:in_arg:net_dense1_weight" | "32768" | "0" | "32768" | "0" | | "net:in_arg:net_dense2_bias" | "128" | "0" | "4096" | "0" | | "net:in_arg:net_dense2_weight" | "8192" | "0" | "8192" | "0" | | "net:relu0:data_entry:net_relu0_fwd_backward" | "8192" | "0" | "8192" | "0" | | "resource:cudnn_dropout_state (dropout-inl.h +258)" | "1671168" | "0" | "1671168" | "0" | | "resource:temp_space (fully_connected-inl.h +316)" | "34816" | "0" | "36864" | "0" |
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
