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Paddle/python/paddle/fluid
123malin 32ad4f90a4
【paddle.fleet】 Usages Change: from fleet.util() to fleet.util (#27468)
5 years ago
..
contrib replace dataset with fake data (#27519) 5 years ago
dataloader move DataLoader._worker_loop to top level (#27247) 5 years ago
distributed
dygraph [Dy2Stat]rename StaticLayer into StaticFunction (#27487) 5 years ago
incubate large scale kv speedup (#26510) 5 years ago
inference Refine python inference api (#26958) 5 years ago
layers Make the Bind Method of Tensor more automatic (#27270) 5 years ago
tests 【paddle.fleet】 Usages Change: from fleet.util() to fleet.util (#27468) 5 years ago
transpiler
.gitignore
__init__.py [Feature] Enhance inplace addto strategy for gradient accumulation in static graph (#27112) 5 years ago
average.py
backward.py [Feature] Enhance inplace addto strategy for gradient accumulation in static graph (#27112) 5 years ago
clip.py Fix GradientClipByGlobalNorm dtype bug (#27437) 5 years ago
communicator.py
compiler.py
core.py fix dll load bug on windows from python3.8 (#27324) 5 years ago
data.py
data_feed_desc.py
data_feeder.py erase Raises and refine doce of random functions (#26901) 5 years ago
dataset.py
debugger.py
default_scope_funcs.py
device_worker.py
distribute_lookup_table.py
dygraph_utils.py
entry_attr.py
evaluator.py
executor.py
framework.py Use paddle.disable_static() to replace with dygraph.guard(). (#27139) 5 years ago
generator.py Refine paddle.manual_seed (#26496) 5 years ago
graphviz.py
initializer.py
input.py add embedding 2.0 (#26649) 5 years ago
install_check.py Use dygraph mode by default (#27443) 5 years ago
io.py remove paddle.readers API (#26727) 5 years ago
layer_helper.py support mnist and resnet dygraph_to_static test (#25774) 5 years ago
layer_helper_base.py
lod_tensor.py
log_helper.py
metrics.py
multiprocess_utils.py
net_drawer.py
nets.py
op.py
optimizer.py Add new paddle.save/load APIs (#27331) 5 years ago
parallel_executor.py
param_attr.py
profiler.py
reader.py refine fleet dataset class api (#27133) 5 years ago
regularizer.py
trainer_desc.py
trainer_factory.py
unique_name.py
wrapped_decorator.py