5 Commits (b4be5ef5ec384f2262958de9479fb78cc894ec97)

Author	SHA1	Message	Date
Zeng Jinle	d33c4343e1	Imperative tracer refactoring (#22457) ... * refine grad maker, test=develop * refactor tracer stage 1, test=develop * merge develop to solve conflict third times, test=develop	5 years ago
lilong12	0bc8bdf724	set dim[0] to -1 if dim[0] < 0 during compiling for c_allgather op (#21402) ... * set dim[0] to -1 if dim[0] < 0 and remove assertion to runtime, test=develop * modify ENFORCE message, test=develop * add validation for x.shape[0] > 0, test=develop * add ut, test=develop	6 years ago
hong	8c4573a3cb	GradMaker for dygraph (#19706) ... * refactor dygraph,test=develop * fix failed unittest,test=develop * polish code,test=develop * check windows ci error,test=develop try to fix windows ci error by np.allclose,test=develop * polish vlog and profiler, test=develop * try to fix preceding ops order,test=develop * test transformer in windows ci, test=develop * use python c-api to speed up tracer.trace,test=develop * test=develop, fix docker with paddle nccl problem * test=develop, add ut for debug string and gradient_accumulator * test=develop, add tests for layer/gradient_accumulator/prepared_op * test=develop, fix complie error for test_prepared_op * test=develop, add more ut for dygraph * test=develop, create API.spec for dygraph api change * optimize grad maker; test=develop * optimize grad maker * test * grad make optim; test=develop * fix unittest bugs; test=develop * add dygraph grad op maker and split_op * grad op maker refactor; test=develop * add dygraph grad maker; test=develop * fix op deformable_conv_v1_op bug; test=develop * fix deformable_conv prroi pool bugs; * fix new op grad op maker bug; test=develop * fix split by ref bug; test=develop * fix dygraph auto prune bug; test=develop * fix test_trace bug; test=develop * fix fused emb seq pool bug; test=develop * remove useless code in op_desc file; test=develop * remove useless code, StrVarBaseNode; test=develop * fix review issues; test=develop * fix rank_loss grad maker; test=develop * remove flag in VarBase; test=develop * fix distributed_notify_op compile bug ; test=develop * fix reshape op double grad; test=develop * fix expand as op; test=develop * add impertive type_defs.h for demo_train; test=develop * fix inference lib cmake; test=develop * fix inference lib; test=develop * fix infernce_lib; test=develop * fix inference cmake; test=develop * fix inference lib; test=develop * fix inference lib; test=develop * remove condition dygraph grad maker, modify local name; test=develop * fix split grad maker bug; test=develop * fix pyramid_op bug; test=develop * change travis time out limit; test=develop * restore travis; test=develop * change timeout limit; test=develop	6 years ago
Yi Liu	a873fa84ce	supports collective training with programs (#18392) ... 1. Since allreduce op has 4 reduce types, We split these four reduce types into four ops 2. We also refined the collective op code, e.g. we separated the collective op kernel into CPUKernel and CUDAKernel, and remove the device specified DeviceContext parameter in template as we already knew the target DeviceContext 3. We remove the newly added Collective op role to reduce the complexity of program and graph analysis	6 years ago
HaoRen	b7128bac5f	supports collective communicated training (#18175) ... * fix prepare context redundant code problem, optimize executor by caching create_varaiables test=develop * supports collective training in executor * make fetch_list runable with variables, add more unittest for use_program_cache test=develop * fix comment test=develop * use unique name for nccl_id * supports output to stream in program_to_code * insert sync_comm_stream before regularization; add skip_op_callstack capability in program_to_code * set op role in collective training * add collective op role * remove orig file * add build optimizer by strategy * add collective strategy * refine collective strategy * add multi-process role maker * refine strategy building factory so that we can easily plugin more strategy * scale loss grad in collective sgd transpiler * add support for distributed fc * code format * revert some features for dist fc * add support for distributed fc training * fix prepare context redundant code problem, optimize executor by caching create_varaiables test=develop * supports collective training in executor * make fetch_list runable with variables, add more unittest for use_program_cache test=develop * use unique name for nccl_id * supports output to stream in program_to_code * insert sync_comm_stream before regularization; add skip_op_callstack capability in program_to_code * set op role in collective training * add collective op role * fix comment test=develop * remove orig file * add build optimizer by strategy * add collective strategy * refine collective strategy * add multi-process role maker * refine strategy building factory so that we can easily plugin more strategy * scale loss grad in collective sgd transpiler * add support for distributed fc * code format * revert some features for dist fc * add support for distributed fc training * test=develop add collective op unittest standard * test=develop remove the test_collective directory * test=develop remove the test_collective directory * remove slicegather test * code format for reducescatter * update attr of shard_index_op * Modify macro nccl_helper * remove test without distribute * macro collective_helper * marcro update * test=develop update support python3.5 * test=develop change gpu memory use to 0.1 when test * test=develop update ut equal func * test=develop set flags to 1.5 * test=develop fix pickle dumple py35 * test=develop fix divide in slice and add sync_comm_stream update atol and rtol to 1e-05 rm shard_index op and test modify read input from file to read from memory remove origin_program in framework and add i/o in c_sync_calc_stream * test=develop update unittest sync operator I/O	6 years ago