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Migration to training IR #5937

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ecf7cab
update pytorch pin
yushangdi Sep 4, 2024
e185711
phi-3-mii
yushangdi Oct 7, 2024
02f5c67
update pin
yushangdi Oct 7, 2024
158d04f
update requirement
yushangdi Oct 7, 2024
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2 changes: 1 addition & 1 deletion .ci/docker/ci_commit_pins/pytorch.txt
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Original file line number Diff line number Diff line change
@@ -1 +1 @@
4b2970f7cd3cdd56883cacf116a8693862f89db5
d1b87e26e5c4343f5b56bb1e6f89b479b389bfac
6 changes: 3 additions & 3 deletions examples/models/phi-3-mini/export_phi-3-mini.py
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Expand Up @@ -15,13 +15,13 @@
from executorch.backends.xnnpack.partition.xnnpack_partitioner import XnnpackPartitioner
from executorch.backends.xnnpack.utils.configs import get_xnnpack_edge_compile_config
from executorch.exir import to_edge
from torch._export import capture_pre_autograd_graph
from torch.ao.quantization.quantize_pt2e import convert_pt2e, prepare_pt2e

from torch.ao.quantization.quantizer.xnnpack_quantizer import (
get_symmetric_quantization_config,
XNNPACKQuantizer,
)
from torch.export import export_for_training

from transformers import Phi3ForCausalLM

Expand Down Expand Up @@ -64,9 +64,9 @@ def export(args) -> None:
xnnpack_quantizer = XNNPACKQuantizer()
xnnpack_quantizer.set_global(xnnpack_quant_config)

model = capture_pre_autograd_graph(
model = export_for_training(
model, example_inputs, dynamic_shapes=dynamic_shapes
)
).module()
model = prepare_pt2e(model, xnnpack_quantizer) # pyre-fixme[6]
model(*example_inputs)
model = convert_pt2e(model)
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2 changes: 1 addition & 1 deletion install_requirements.py
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Expand Up @@ -94,7 +94,7 @@ def python_is_compatible():
# NOTE: If a newly-fetched version of the executorch repo changes the value of
# NIGHTLY_VERSION, you should re-run this script to install the necessary
# package versions.
NIGHTLY_VERSION = "dev20241002"
NIGHTLY_VERSION = "dev20241007"

# The pip repository that hosts nightly torch packages.
TORCH_NIGHTLY_URL = "https://download.pytorch.org/whl/nightly/cpu"
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