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TODO we need to change stateful executor to handle subgraph.
When two node entries refer to the same output of a node, we should create only one var node for these two node entries.
We can't get a list of variable names from a hashtable. The order can't be guaranteed. Python2 and Python3 output different orders.
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XinYao1994
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Aug 29, 2018
* Test input a graph. * Update foreach to execute the subgraph. * print inputs/outputs in foreach. * Remove print. * add test code for foreach. * exec foreach outside the engine. * Implements forward of foreach. * Add support for variable numbers of inputs and outputs. * Add a python wrapper for foreach. * Fix the order of inputs. * add test with lstm. * hide C version of foreach. * fix a bug temporarily. * Test free variables. * change for the new interface of InputGraph attribute. * Add attribute to the subgraph. * Handle free variables. * Get all input symbols of a subgraph. * Fix shape, dtype and storage inference. * reorganize the output of foreach. * Add a gluon RNN unroll with symbol foreach. * print unnecessary print. * have imperative and symbolic foreach. * Fix an error after moving foreach. * Fix imperative foreach * Fix a minor problem. * Use CachedOp to execute subgraph. * update TODO. * make foreach op use FStatefulComputeEx. TODO we need to change stateful executor to handle subgraph. * Add backward. * Fix bugs. * enable backward test in lstm. * Fix a bug in foreach backward for free variables. * change for the new CachedOp. * Detect the backward computation. * Fix bugs in foreach. * fix tests. * update tests. * check state shape. * enable nested foreach. * remove print. * fix a bug in test. * handle infer storage type for backward. * address comments. * address comments. * move some common functions out. * address comments. * fix lint. * Fix lint. * add doc. * undo modification in imperative.h * add doc and remove example code. * fix lint. * fix lint. * Fix lint. * make nd.foreach and sym.foreach consistent. * fix compile error. * address comments. * update. * check for loop only works for dense arrays. * move control flow op out of nn/ * fix include. * add a test in gluon. * work for GPU. * small fix. * remove subgraph_name * create loop state for reuse in the future. * move code. * Revert "remove subgraph_name" This reverts commit 977f562. * cut graph. * rename new var nodes. * Fix tests. * Fix bugs caused by ctypes (apache#29) * Add save/load json in testcases for foreach (apache#30) * support subgraph in stateful executor. * Fix compilation. * fix a bug when a subgraph has variable nodes. * Fix a bug of getting symbols. * copy var nodes. * Fix getting op states. * fix lint error. * address comments. * fix lint error. * simplify the execution of subgraph in the main thread. * fix lint error. * avoid waiting for computation in each iteration. * reuse cached op for inference. * share memory across mini-batches. * reuse memory. reuse memory between iterations in inference. reuse memory between mini-batches in training. * add tests for multiple batches. * remove entry. * add benchmark for foreach. * benchmark large batch size. * Fix the benchmark for GPU. * address comments. * update shape/dtype/storage inference. * update contrib API docs. * support nested foreach. * use a single CachedOp for all iterations. * use large dim. * update benchmark. * update benchmark. * update benchmark. * update benchmark. * return symbol arrays correctly in MXSymbolCutSubgraph. * return symbol arrays in MXSymbolGetInputSymbols. * fix lint error. * use cachedop to infer storage in backward. * fix scala API. * update comments. * fix scala. * fix test. * fix attribute name. * move benchmark. * fix the mapping of operator inputs/outputs and subgraph inputs/outputs. * add tests for dtype/shape inference. * reorganize tests. * fix a bug of cutting NodeEntry. When two node entries refer to the same output of a node, we should create only one var node for these two node entries. * fix lint error. * handle the case that outputs are inputs. * handle the case that inputs aren't used. * handle the case without output data. * fix a bug in foreach backward. * fix a bug when there isn't output data. * Fix lint error. * test diff Gluon RNN cells. * test all symbol RNN cells. * adjust the test precision. * Fix a bug in getting a list of variable names. We can't get a list of variable names from a hashtable. The order can't be guaranteed. Python2 and Python3 output different orders. * fix lint error. * Test 1D array. * fix a bug when subgraph inputs and outputs share NDArray. * fix. * fix * add comments.
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Description
This PR is a copy of #10451.
This PR reconstructs MXNet IR system to support control flow operators and adds one control flow operator: foreach. It takes a Python function as input and run the function over the elements in the input array. foreach is similar to scan in TensorFlow.
This PR is part of the proposal of adding a set of control flow operators to MXNet.
https://cwiki.apache.org/confluence/display/MXNET/Optimize+dynamic+neural+network+models+with+control+flow+operators
Checklist
Essentials
Please feel free to remove inapplicable items for your PR.