81 lines
3.0 KiB
Python
81 lines
3.0 KiB
Python
# flake8: noqa: B950
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from ._internal import register_artifact, register_log
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register_log("dynamo", "torch._dynamo")
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register_log("aot", "torch._functorch.aot_autograd")
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register_log("inductor", "torch._inductor")
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register_log("dynamic", "torch.fx.experimental.symbolic_shapes")
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register_log("torch", "torch")
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register_log("distributed", "torch.distributed")
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register_log("onnx", "torch.onnx")
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register_artifact(
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"guards",
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"This prints the guards for every compiled Dynamo frame. It does not tell you where the guards come from.",
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visible=True,
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)
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register_artifact("verbose_guards", "", off_by_default=True)
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register_artifact(
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"bytecode",
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"Prints the original and modified bytecode from Dynamo. Mostly useful if you're debugging our bytecode generation in Dynamo.",
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off_by_default=True,
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)
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register_artifact(
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"graph",
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"Prints the dynamo traced graph (prior to AOTDispatch) in a table. If you prefer python code use `graph_code` instead. ",
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)
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register_artifact("graph_code", "Like `graph`, but gives you the Python code instead.")
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register_artifact(
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"graph_sizes", "Prints the sizes of all FX nodes in the dynamo graph."
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)
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register_artifact(
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"trace_source",
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"As we execute bytecode, prints the file name / line number we are processing and the actual source code. Useful with `bytecode`",
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)
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register_artifact(
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"trace_call",
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"Like trace_source, but it will give you the per-expression blow-by-blow if your Python is recent enough.",
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)
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register_artifact(
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"aot_graphs",
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"Prints the FX forward and backward graph generated by AOTDispatch, after partitioning. Useful to understand what's being given to Inductor",
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visible=True,
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)
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register_artifact(
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"aot_joint_graph",
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"Print FX joint graph from AOTAutograd, prior to partitioning. Useful for debugging partitioning",
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)
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register_artifact(
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"ddp_graphs",
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"Only relevant for compiling DDP. DDP splits into multiple graphs to trigger comms early. This will print each individual graph here.",
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)
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register_artifact(
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"recompiles",
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"Prints the reason why we recompiled a graph. Very, very useful.",
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visible=True,
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)
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register_artifact(
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"graph_breaks",
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"Prints whenever Dynamo decides that it needs to graph break (i.e. create a new graph). Useful for debugging why torch.compile has poor performance",
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visible=True,
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)
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register_artifact(
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"not_implemented",
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"Prints log messages whenever we return NotImplemented in a multi-dispatch, letting you trace through each object we attempted to dispatch to",
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)
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register_artifact(
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"output_code",
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"Prints the code that Inductor generates (either Triton or C++)",
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off_by_default=True,
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visible=True,
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)
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register_artifact(
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"schedule",
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"Inductor scheduler information. Useful if working on Inductor fusion algo",
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off_by_default=True,
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)
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register_artifact("perf_hints", "", off_by_default=True)
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register_artifact("onnx_diagnostics", "", off_by_default=True)
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register_artifact("custom_format_test_artifact", "Testing only", log_format="")
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