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a6630bcf87
Previously: https://github.com/pytorch/pytorch/pull/138052 but the implementation is done from scratch, so I open a new PR. This implements the ability to save and load profiles of automatic dynamic decisions, so on subsequent runs we can directly make something automatically dynamic. Unlike the previous implementation, this cache is never enabled by default; instead, you have to specify a "job id" that says it's OK to share results. We will be able to automatically populate this id for internal MAST jobs but for generic OSS users you will have to explicitly opt into it. Signed-off-by: Edward Z. Yang <ezyang@meta.com> Differential Revision: [D65065497](https://our.internmc.facebook.com/intern/diff/D65065497) Pull Request resolved: https://github.com/pytorch/pytorch/pull/139001 Approved by: https://github.com/oulgen |
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| .. | ||
| backends | ||
| polyfills | ||
| repro | ||
| variables | ||
| __init__.py | ||
| _trace_wrapped_higher_order_op.py | ||
| bytecode_analysis.py | ||
| bytecode_transformation.py | ||
| cache_size.py | ||
| callback.py | ||
| code_context.py | ||
| codegen.py | ||
| compiled_autograd.py | ||
| comptime.py | ||
| config.py | ||
| convert_frame.py | ||
| create_parameter_op.py | ||
| current_scope_id.py | ||
| debug_utils.py | ||
| decorators.py | ||
| device_interface.py | ||
| distributed.py | ||
| eval_frame.py | ||
| exc.py | ||
| external_utils.py | ||
| funcname_cache.py | ||
| guards.py | ||
| hooks.py | ||
| logging.py | ||
| mutation_guard.py | ||
| output_graph.py | ||
| pgo.py | ||
| profiler.py | ||
| replay_record.py | ||
| resume_execution.py | ||
| side_effects.py | ||
| source.py | ||
| symbolic_convert.py | ||
| tensor_version_op.py | ||
| test_case.py | ||
| test_minifier_common.py | ||
| testing.py | ||
| trace_rules.py | ||
| types.py | ||
| utils.py | ||