[NNCFGraph] Migrate from nx.DiGraph to nx.MultiDiGraph by daniil-lyakhov · Pull Request #3843 · openvinotoolkit/nncf

daniil-lyakhov · 2026-01-15T17:22:46Z

Changes

NNCFGraph + InsertionPointGraph + PatternMatchingGraph are inhereted from nx.MultiDiGraph instead of nx.DiGraph
SDPA Ignored pattern is updated with split operation as a branching metatype for OpenVINO/ONNX backends
Hardware fusing pattern conv -> arithmetic is updated to have 1 and 2 degrees edges like on this picture:

ROPE patern is updated to have several parallel input edges to the concat node

Reason for changes

To make it possible to represent and compress models with Multi edges in NNCF
To quantize YOLO26 SDPA block properly in OpenVINO/ONNX backends
To quantize models like a = conv(x); return aa correctly (not quantizing the xx part)
To apply the ROPE pattern correctly, as the original pattern has parallel edges

Related tickets

174691
179960

Tests

MultiDiGraph NNCFGraph is tested here https://github.com/openvinotoolkit/nncf/pull/3843/changes#diff-1f470020da6ca32a3f1881ec05b5af9ac828bfd8d892ae1306c860553b960d5bR113-R175
InsertionPointGraph and PatternMatchingGraph (+SDPA updated ignored pattern +conv+arithmetic HW fused pattern) are tested here https://github.com/openvinotoolkit/nncf/pull/3843/changes#diff-7cac922c198eebec6543d9da25eea4fb03aa6e352c4416cf157a41d70010d5feR522-R611
ONNX MultiDiGraph building test: https://github.com/openvinotoolkit/nncf/pull/3843/changes#diff-577b44dd17279c195cfd652ef121c720c5a4278dbcd65cd407932cb7e9d2adccR148-R167
OpenVINO MultiDiGraph bulding and quantization test: https://github.com/openvinotoolkit/nncf/pull/3843/changes#diff-b7a697bf639687bc47899b5166a4e42636c00162cd146739a931382fa1df8a34R1383-R1403
Torch MultiDIGraph bulding and quantization test: https://github.com/openvinotoolkit/nncf/pull/3843/changes#diff-09664d18a9fe689dca4a78998cc8e702526d81b5685c1164b56ce2dcb74b139aR67-R78
TorchFX MultiDiGraph building test https://github.com/openvinotoolkit/nncf/pull/3843/changes#diff-741156c097f1cd42544f5ba4a7dc31024a454b2f78581ebcd2e65f11377fa1a7R80
(Could not quantize yolo26 SDPA subgraph correctly due to the issue [TorchFX] Do not propagate quantizers through __get_item__ when input/output has different numel #3109)
Test ROPE pattern with 2 parallel edges: https://github.com/openvinotoolkit/nncf/pull/3843/changes#diff-32bc7464d48f05ead87262b533f2e0ce9ea2db101e9e8ae59cb64c65d6aba351R448-R450
ONNX Synthetic parallel edges model added to check parallel edges nncf graph building: https://github.com/openvinotoolkit/nncf/pull/3843/changes#diff-9aec6e5f328ddb6b440894cb95dcc3b774d34bb67547e9aad6b065bd678c585fR248-R292

Jobs

Test WC: https://github.com/openvinotoolkit/nncf/actions/runs/21724379639 - Green
Test examples: https://github.com/openvinotoolkit/nncf/actions/runs/21724373555 - Green
PTQ: NNCF/job/manual/job/post_training_quantization/804/ - Green

Copilot

Pull request overview

This PR migrates NNCF graph representations from nx.DiGraph to nx.MultiDiGraph to support parallel/multi-edges, and updates quantization/hardware-fusing/ignored-pattern logic (notably SDPA and RoPE) plus corresponding tests and reference graphs.

Changes:

Switched core graph utilities, pattern matching, and insertion-point graphs to nx.MultiDiGraph and adapted edge handling APIs (get_edges, keyed edges in .dot files).
Updated HW fused patterns (conv -> arithmetic) and ignored patterns (RoPE + SDPA) to account for parallel edges/branching.
Added/updated synthetic models, test fixtures, and many .dot/JSON references to validate multi-edge behavior across Torch/FX, OpenVINO, and ONNX.

Reviewed changes

Copilot reviewed 97 out of 114 changed files in this pull request and generated 13 comments.

Show a summary per file

File	Description
tools/render_dot_to_svg.py	Uses `nx.MultiDiGraph` when rendering `.dot` graphs to preserve multi-edges.
tools/clip_dot.py	Uses `nx.MultiDiGraph` for reading and producing clipped graphs with possible parallel edges.
tests/torch/utils.py	Updates comparable graph conversion to output `nx.MultiDiGraph`.
tests/torch/test_graph_analysis.py	Updates mock graph to `MultiDiGraph` and edge construction without parallel-port field.
tests/torch/fx/test_weights_compression.py	Updates edge retrieval for multi-edge API and parameterizes RoPE degree.
tests/torch/fx/test_quantizer_config.py	Adds fixtures for degree-2 arithmetic patterns and split-based transformer graphs.
tests/torch/fx/test_quantizer.py	Removes `parallel_input_port_ids` usage in normalization helper.
tests/torch/fx/test_models.py	Adds YOLO26 attention block to FX model cases.
tests/torch/function_hook/quantization/test_weights_compression.py	Parameterizes RoPE model creation with `degree`.
tests/torch/function_hook/quantization/test_quantizer_config.py	Adds fixtures mirroring FX config tests (degree-2 + split transformer).
tests/torch/function_hook/quantization/test_quantized_graphs.py	Adds models for parallel edges + YOLO26; updates RoPE to degree=2.
tests/torch/function_hook/quantization/helper.py	Adds builder for degree-2 conv->arithmetic graph template.
tests/torch/data/fx/yolo26_attn_block.dot	Adds FX reference `.dot` for YOLO26 attention block.
tests/torch/data/fx/reference_metatypes/yolo26_attn_block.json	Adds metatype reference for YOLO26 attention block.
tests/torch/data/function_hook/sparsify_activations/three_linear_sparse_activations.dot	Updates `.dot` format to include multi-edge `key=` and non-strict header.
tests/torch/data/function_hook/sparsify_activations/three_linear_int8_sym_weights_sparse_activations.dot	Same `.dot` updates for int8 sparse-activations reference.
tests/torch/data/function_hook/sparsify_activations/three_linear_ignore1_sparse_activations.dot	Same `.dot` updates for ignore-scope reference.
tests/torch/data/function_hook/sparsify_activations/three_linear_ignore1_int8_sym_weights_sparse_activations.dot	Same `.dot` updates for ignore-scope + int8 reference.
tests/torch/data/function_hook/sparsify_activations/linear_sparse_activations.dot	Same `.dot` updates for single-linear sparse reference.
tests/torch/data/function_hook/sparsify_activations/linear_int8_sym_weights_sparse_activations.dot	Same `.dot` updates for single-linear + int8 reference.
tests/torch/data/function_hook/quantization/test_quantized_graphs/yolo26_attn_block.dot	Adds quantized-graph `.dot` reference for YOLO26 attention block.
tests/torch/data/function_hook/quantization/test_quantized_graphs/unbind_scaled_dot_product_attention_model.dot	Updates `.dot` to keyed multi-edges.
tests/torch/data/function_hook/quantization/test_quantized_graphs/shared_model.dot	Replaces `parallel_input_port_ids` with explicit parallel edges via `key`.
tests/torch/data/function_hook/quantization/test_quantized_graphs/scaled_dot_product_attention_model.dot	Updates `.dot` to keyed multi-edges.
tests/torch/data/function_hook/quantization/test_quantized_graphs/rope_model.dot	Updates RoPE `.dot` to represent parallel concat inputs as multi-edges.
tests/torch/data/function_hook/quantization/test_quantized_graphs/parallel_edges_model.dot	Adds `.dot` reference for explicit parallel-edge model.
tests/torch/data/function_hook/quantization/test_quantized_graphs/lenet.dot	Updates `.dot` to keyed multi-edges.
tests/torch/data/function_hook/quantization/test_quantized_graphs/embedding_model.dot	Updates `.dot` to keyed multi-edges.
tests/torch/data/function_hook/pruning_and_quantization/prune_ptq_model.dot	Updates `.dot` to keyed multi-edges.
tests/torch/data/function_hook/nncf_graph/model_graph_with_shared_parameters.dot	Updates `.dot` to keyed multi-edges.
tests/torch/data/function_hook/nncf_graph/model_graph_gru.dot	Updates `.dot` to keyed multi-edges.
tests/torch/data/function_hook/nncf_graph/convert_to_nncf_graph_multi_edges.dot	Updates reference from “parallel ports” to explicit multi-edges.
tests/torch/data/function_hook/nncf_graph/convert_to_nncf_graph.dot	Updates `.dot` to keyed multi-edges.
tests/torch/data/function_hook/compress_weights/fq_lora/shared_weights_all_layers_True.dot	Updates `.dot` to keyed multi-edges.
tests/torch/data/function_hook/compress_weights/fq_lora/shared_weights_all_layers_False.dot	Updates `.dot` to keyed multi-edges.
tests/openvino/native/test_nncf_graph_builder.py	Removes `parallel_input_port_ids` from edge fixtures.
tests/openvino/native/test_model_utils.py	Updates direct edge-attr access to include MultiDiGraph edge key.
tests/openvino/native/quantization/test_weights_compression.py	Parameterizes RoPE model creation with `degree`.
tests/openvino/native/quantization/test_quantizer_config.py	Adds split + degree-2 graph fixtures and includes `OVSplitMetatype`.
tests/openvino/native/quantization/test_graphs.py	Updates transformer model paramization to use `partial(RoPEModel, degree=2)`.
tests/openvino/native/models.py	Updates RoPE model to represent concat degree and adds YOLO26 attention block model.
tests/openvino/native/data/2025.4/reference_scales/YOLO26AttentionBlock_performance.json	Adds reference scales for YOLO26 attention block.
tests/openvino/native/data/2025.4/reference_scales/YOLO26AttentionBlock_mixed.json	Adds mixed reference scales for YOLO26 attention block.
tests/openvino/native/data/2025.4/reference_graphs/quantized/YOLO26AttentionBlock.dot	Adds quantized reference `.dot` for YOLO26 attention block with keyed edges.
tests/openvino/native/data/2025.4/reference_graphs/original_nncf_graph/YOLO26AttentionBlock.dot	Adds original-graph reference `.dot` for YOLO26 attention block with keyed edges.
tests/openvino/native/data/2024.4/reference_graphs/quantized/RoPEModel.dot	Updates RoPE reference `.dot` to keyed multi-edges and renamed nodes.
tests/onnx/test_nncf_graph_builder.py	Adds ONNX multi-edge conversion test using Split.
tests/onnx/quantization/test_weights_compression.py	Parameterizes RoPE concat degree for ONNX model builder.
tests/onnx/quantization/test_quantizer_config.py	Adds split + degree-2 fixtures and includes `ONNXSplitMetatype`.
tests/onnx/models.py	Adds synthetic ONNX model with parallel edges via repeated Concat inputs.
tests/onnx/data/reference_graphs/quantization/synthetic/multi_input_output_parallel_edges_model.dot	Adds keyed-edge reference graph for ONNX parallel-edges synthetic model.
tests/onnx/data/reference_graphs/original_nncf_graph/synthetic/multi_input_output_parallel_edges_model.dot	Adds keyed-edge original-graph reference for ONNX parallel-edges model.
tests/onnx/common.py	Adds `ModelBuilder.add_split` helper for Split-based models.
tests/cross_fw/test_templates/test_quantizer_config.py	Adds template tests/states for degree-2 conv+arith and split-transformer patterns.
tests/cross_fw/test_templates/template_test_weights_compression.py	Parameterizes RoPE compression test by concat `degree`.
tests/cross_fw/test_templates/models.py	Adds graph templates for arithmetic degree-2 and split-transformer.
tests/cross_fw/test_templates/helpers.py	Updates torch RoPE model to accept degree; adds ParallelEdgesModel + YOLO26AttentionBlock.
tests/cross_fw/shared/nx_graph.py	Updates DOT sorting + graph comparison to MultiDiGraph and keyed edges.
tests/common/quantization/test_quantizer_propagation_solver.py	Converts mock graphs to MultiDiGraph and updates edge indexing to include keys.
tests/common/quantization/test_quantizer_propagation_graph.py	Converts mock graphs to MultiDiGraph and updates edge indexing to include keys.
tests/common/quantization/mock_graphs.py	Converts mock graph utilities to MultiDiGraph; ensures in_edges/out_edges use keys.
tests/common/graph/test_nncf_graph.py	Adds explicit multi-edge tests and duplicate-edge validation test.
tests/common/graph/test_dot_file_rw.py	Updates DOT read/write test graph type to MultiDiGraph.
tests/common/data/reference_graphs/dot_rw_reference.dot	Updates DOT reference to non-strict digraph and keyed edge format.
src/nncf/torch/quantization/ignored_patterns.py	Reuses shared RoPE pattern builder to support parallel edges.
src/nncf/torch/model_graph_manager.py	Updates constant-input resolution for multi-edge graph API.
src/nncf/torch/hardware/fused_patterns.py	Updates HW fused patterns to include parallel-edge degree alternatives.
src/nncf/torch/graph/graph.py	Updates insertion-point shape extraction using edge-by-port APIs.
src/nncf/torch/function_hook/nncf_graph/nncf_graph_builder.py	Emits explicit edges for each meta edge instead of parallel-port encoding.
src/nncf/quantization/passes.py	Updates node-removal reconnect logic to handle multi-edges.
src/nncf/quantization/ignored_patterns.py	Introduces shared `create_rope_pattern` supporting concat degree alternatives.
src/nncf/quantization/algorithms/weight_compression/torch_fx_backend.py	Updates weight-shape/axes helpers to handle multi-edge APIs and validates edge uniqueness.
src/nncf/quantization/algorithms/weight_compression/torch_backend.py	Updates weight/activation port resolution to iterate over multiple edges.
src/nncf/quantization/algorithms/smooth_quant/algorithm.py	Updates grouping logic to validate and use a single edge between nodes.
src/nncf/openvino/quantization/ignored_patterns.py	Reuses shared RoPE pattern builder and updates SDPA ignored pattern to include split.
src/nncf/openvino/hardware/fused_patterns.py	Updates HW fused patterns to include parallel-edge degree alternatives.
src/nncf/openvino/graph/nncf_graph_builder.py	Emits explicit edges per OpenVINO input port instead of parallel-port encoding.
src/nncf/onnx/quantization/ignored_patterns.py	Reuses shared RoPE pattern builder and updates SDPA ignored pattern to include split.
src/nncf/onnx/hardware/fused_patterns.py	Updates HW fused patterns to include parallel-edge degree alternatives.
src/nncf/onnx/graph/onnx_helper.py	Updates input-port lookup to return all matching input ports for parallel edges.
src/nncf/onnx/graph/nncf_graph_builder.py	Updates ONNX graph builder to create explicit multi-edges and disambiguate repeated inputs.
src/nncf/experimental/torch/sparsify_activations/torch_backend.py	Updates activation-port resolution to iterate over multiple edges.
src/nncf/common/utils/dot_file_rw.py	Updates DOT reader to return `nx.MultiDiGraph`.
src/nncf/common/insertion_point_graph.py	Migrates insertion-point graph to MultiDiGraph and updates edge/key handling.
src/nncf/common/graph/patterns/patterns.py	Migrates GraphPattern to MultiDiGraph and adds `join_patterns_parallel`.
src/nncf/common/graph/graph_matching.py	Uses `MultiDiGraphMatcher` for pattern matching on MultiDiGraph graphs.
src/nncf/common/graph/graph.py	Migrates core NNCFGraph to MultiDiGraph; replaces parallel-port encoding with explicit multi-edges.

Comments suppressed due to low confidence (1)

src/nncf/common/utils/dot_file_rw.py:1

read_dot_graph now returns nx.MultiDiGraph, but write_dot_graph still type-annotates nx.DiGraph. Consider widening the annotation (e.g., nx.MultiDiGraph or a union of graph types) to reflect actual usage and prevent confusion in downstream call sites.

# Copyright (c) 2026 Intel Corporation

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

Copilot · 2026-02-10T14:27:44Z


-        for u, v in self._nx_graph.edges:
-            edge = self._nx_graph.edges[u, v]
+        for u, v, k in self._nx_graph.edges:


Iterating over MultiDiGraph.edges without keys=True yields (u, v) pairs, so unpacking into (u, v, k) will raise at runtime. Use self._nx_graph.edges(keys=True) (or edges(keys=True, data=True)) when you need edge keys, and keep access consistent with that.

Suggested change

for u, v, k in self._nx_graph.edges:

for u, v, k in self._nx_graph.edges(keys=True):

Is it a valid comment?”

This is an invalid comment. There is a difference betwen the property edges and the function edges in the netrokx: the property always returns the tupple of 3 for the MultiDigraph, so this change won't fix anything.
The property call: https://github.com/networkx/networkx/blob/main/networkx/classes/multidigraph.py#L679
OutMultiEdgeView iter: https://github.com/networkx/networkx/blob/main/networkx/classes/reportviews.py#L1444-L1448

AlexanderDokuchaev · 2026-03-20T17:46:29Z

        """
        self._unite_with_copy_of_graph(other.graph)

+    def join_patterns_parallel(self, other: "GraphPattern", degree: int) -> None:


Please add tests of new method
And test in test_graph_matching.py to matching graphs with parallel edges

AlexanderDokuchaev · 2026-03-20T19:50:01Z


-        for u, v in self._nx_graph.edges:
-            edge = self._nx_graph.edges[u, v]
+        for u, v, k in self._nx_graph.edges:


It's can be used as

for u, v, k, data in self._nx_graph.edges(keys=True, data=True):

Please provide an example when my approach won't work

AlexanderDokuchaev · 2026-03-20T20:19:33Z


    pattern.add_edge(matmul_node, transpose_node)
-    pattern.add_edge(transpose_node, concat_node)
+    for _ in range(cat_degree):


As we are discused rope pattern is broken,
Is it really need to change it now?

And mannually create two edge is shorter and easy to read

pattern.add_edge(transpose_node, concat_node) pattern.add_edge(transpose_node, concat_node)

Than

cat_degree = 2 ... for _ in range(cat_degree): pattern.add_edge(transpose_node, concat_node)

I kept them for ONNX/Torch/TorchFX the same but skipped the test, please tell me if you want it in an outher way

AlexanderDokuchaev · 2026-03-20T20:23:06Z

+    for node in "abc":
+        nodes.append(nncf_graph.add_nncf_node(node, f"type_{node}", f"metatype_{node}"))
+
+    nncf_graph.add_edge_between_nncf_nodes(


Looks like edge 0-0 is not used in this test

AlexanderDokuchaev · 2026-03-20T20:51:13Z

    INPUT_SIZE = [1, 10]

-    def __init__(self):
+    def __init__(self, degree: int):


As we was discuesed you should ouse real implementation of rope module
WIth degree=1 it is not valide

AlexanderDokuchaev · 2026-03-20T20:52:19Z

+        return x1, x2
+
+
+class RoPEWCModel(nn.Module):


Same it's not valide RoPE module
Please fix it another PR

AlexanderDokuchaev · 2026-03-20T21:13:12Z

    args = parser.parse_args(args=argv)

-    graph = nx.DiGraph(read_dot_graph(args.input_file))
+    graph = nx.MultiDiGraph(read_dot_graph(args.input_file))


Did you check script from tools/other?

Yes, found a bug, fixed and tested manualy, thanks

### Changes Postprocessing of the ssd300_vgg model from the PTQ torch example is not traced to skip quantization of the last multiplies ### Reason for changes The #3843 fixed the issue with output ports ids: https://github.com/openvinotoolkit/nncf/blob/develop/src/nncf/quantization/algorithms/min_max/algorithm.py#L792-L801 This lead to additional fqs in the ssd block hence fail of example test https://github.com/openvinotoolkit/nncf/actions/runs/23580354118/job/68661703894 Before the multidigraph: <img width="887" height="736" alt="image" src="https://github.com/user-attachments/assets/0bc088bc-7e6f-486a-a4d4-7aa0b29696ce" /> After the multidigraph: <img width="1299" height="269" alt="image" src="https://github.com/user-attachments/assets/9301e3ff-a394-4962-a1fa-bdb159a0e03f" /> All the multiplies are being quantized in comparison with the old approach - output_port == 0 and only one FQ was inserted ### Related tickets 183762 ### Tests Test examples: https://github.com/openvinotoolkit/nncf/actions/runs/23602708146

github-actions Bot added NNCF PT Pull requests that updates NNCF PyTorch NNCF Common Pull request that updates NNCF Common NNCF OpenVINO Pull requests that updates NNCF OpenVINO labels Jan 15, 2026

daniil-lyakhov force-pushed the dl/nncf_multidigraph branch 3 times, most recently from 9437ebb to bf47f71 Compare January 29, 2026 15:06

github-actions Bot added the NNCF ONNX Pull requests that updates NNCF ONNX label Feb 2, 2026

daniil-lyakhov force-pushed the dl/nncf_multidigraph branch 3 times, most recently from 40c2053 to 8b4c822 Compare February 4, 2026 19:16

daniil-lyakhov commented Feb 5, 2026

View reviewed changes

Comment thread tests/onnx/quantization/test_transformer_models_graph.py Outdated

daniil-lyakhov force-pushed the dl/nncf_multidigraph branch 8 times, most recently from 2be12e8 to 51401fc Compare February 10, 2026 13:49

daniil-lyakhov marked this pull request as ready for review February 10, 2026 14:24

daniil-lyakhov requested a review from a team as a code owner February 10, 2026 14:24

daniil-lyakhov requested review from AlexanderDokuchaev, andrey-churkin and Copilot February 10, 2026 14:24

Copilot AI reviewed Feb 10, 2026

View reviewed changes

daniil-lyakhov commented Feb 13, 2026

View reviewed changes

Comment thread src/nncf/common/insertion_point_graph.py

daniil-lyakhov force-pushed the dl/nncf_multidigraph branch 2 times, most recently from 485ee5a to 8337ef2 Compare February 19, 2026 14:46

MaximProshin added the Code Freeze label Mar 10, 2026

daniil-lyakhov force-pushed the dl/nncf_multidigraph branch from 8337ef2 to 5a4e8a7 Compare March 10, 2026 12:54

daniil-lyakhov added 2 commits March 10, 2026 14:06

MultiDiGraph support

5a4e8a7

Rebase fix

4467d7d

andrey-churkin approved these changes Mar 13, 2026

View reviewed changes

daniil-lyakhov force-pushed the dl/nncf_multidigraph branch 5 times, most recently from 026b0c6 to 0065810 Compare March 18, 2026 17:02

Rebase/ TorchFX parallel edges support

0065810

AlexanderDokuchaev requested changes Mar 20, 2026

View reviewed changes

daniil-lyakhov requested a review from AlexanderDokuchaev March 23, 2026 15:50

daniil-lyakhov force-pushed the dl/nncf_multidigraph branch 3 times, most recently from 2f3fad8 to b6ab0bc Compare March 23, 2026 17:03

daniil-lyakhov added 2 commits March 23, 2026 18:16

Comments

b6ab0bc

Merge branch 'develop' into dl/nncf_multidigraph

7f3b3ee

AlexanderDokuchaev approved these changes Mar 25, 2026

View reviewed changes

AlexanderDokuchaev merged commit 91e6c16 into openvinotoolkit:develop Mar 25, 2026
18 checks passed

daniil-lyakhov mentioned this pull request Mar 26, 2026

[Torch][Examples] ssd300_vgg16 postprocessing is disabled #3999

Merged

	for u, v, k in self._nx_graph.edges:
	for u, v, k in self._nx_graph.edges(keys=True):

Conversation

daniil-lyakhov commented Jan 15, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Changes

Reason for changes

Related tickets

Tests

Jobs

Uh oh!

Uh oh!

Copilot AI left a comment

Choose a reason for hiding this comment

Pull request overview

Reviewed changes

Uh oh!

Copilot AI Feb 10, 2026

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Choose a reason for hiding this comment

Uh oh!

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

5 participants

daniil-lyakhov commented Jan 15, 2026 •

edited

Loading