mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
1e86fa2e5b
Summary:
- Split `create_mapping` to `create_mapping_pre_post_grad_nodes` and ` create_node_mapping_kernel_to_post_grad`
- Store a mapping from pre_grad graph node names to stack traces in `_inductor_pre_grad_node_stack_trace`
- Add `stack_traces` member to ir.Node and add it to the string representation of ir.Node
- When we create an IR node, if `inductor.config.trace.provenance_tracing=True`, we populate `stack_traces` from `origins`. The nodes in `origins` are post_grad graph nodes. If a node has `node.stack_trace`, we store the stack_trace directly. This is particularly important for backward graph nodes because they don't have a mapping to pre-grad graph nodes. If a node doesn't have `.stack_trace ` (such as `linear`-> `addmm` nodes), we use the stack trace of the pre_grad graph nodes that it maps to.
- A post grad graph node might not have stack trace if it correspond to multiple pre grad graph nodes, e.g. [GroupLinearFusion](
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| .. | ||
| _awaits | ||
| _C | ||
| _C_flatbuffer | ||
| _custom_op | ||
| _decomp | ||
| _dispatch | ||
| _dynamo | ||
| _export | ||
| _functorch | ||
| _higher_order_ops | ||
| _inductor | ||
| _lazy | ||
| _library | ||
| _logging | ||
| _numpy | ||
| _prims | ||
| _prims_common | ||
| _refs | ||
| _strobelight | ||
| _subclasses | ||
| _vendor | ||
| accelerator | ||
| amp | ||
| ao | ||
| autograd | ||
| backends | ||
| compiler | ||
| contrib | ||
| cpu | ||
| csrc | ||
| cuda | ||
| distributed | ||
| distributions | ||
| export | ||
| fft | ||
| func | ||
| futures | ||
| fx | ||
| headeronly | ||
| jit | ||
| legacy | ||
| lib | ||
| linalg | ||
| masked | ||
| monitor | ||
| mps | ||
| mtia | ||
| multiprocessing | ||
| nativert | ||
| nested | ||
| nn | ||
| onnx | ||
| optim | ||
| package | ||
| profiler | ||
| quantization | ||
| signal | ||
| sparse | ||
| special | ||
| testing | ||
| utils | ||
| xpu | ||
| __config__.py | ||
| __future__.py | ||
| __init__.py | ||
| _appdirs.py | ||
| _classes.py | ||
| _compile.py | ||
| _custom_ops.py | ||
| _environment.py | ||
| _guards.py | ||
| _jit_internal.py | ||
| _linalg_utils.py | ||
| _lobpcg.py | ||
| _lowrank.py | ||
| _meta_registrations.py | ||
| _namedtensor_internals.py | ||
| _ops.py | ||
| _python_dispatcher.py | ||
| _size_docs.py | ||
| _sources.py | ||
| _storage_docs.py | ||
| _streambase.py | ||
| _tensor_docs.py | ||
| _tensor_str.py | ||
| _tensor.py | ||
| _thread_safe_fork.py | ||
| _torch_docs.py | ||
| _utils_internal.py | ||
| _utils.py | ||
| _VF.py | ||
| _vmap_internals.py | ||
| _weights_only_unpickler.py | ||
| CMakeLists.txt | ||
| custom_class_detail.h | ||
| custom_class.h | ||
| extension.h | ||
| functional.py | ||
| header_only_apis.txt | ||
| hub.py | ||
| library.h | ||
| library.py | ||
| overrides.py | ||
| py.typed | ||
| quasirandom.py | ||
| random.py | ||
| return_types.py | ||
| script.h | ||
| serialization.py | ||
| storage.py | ||
| torch_version.py | ||
| types.py | ||
| version.py.tpl | ||