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[FX] Dynamic Shapes Support #3225

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merged 19 commits into from
Mar 5, 2025
Merged

[FX] Dynamic Shapes Support #3225

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8cebf99
init
anzr299 Jan 29, 2025
fbd5779
fix
anzr299 Jan 29, 2025
eda0549
pre-commit fix
anzr299 Jan 29, 2025
36aca2f
Add test case to check data type on edge tensor shape
anzr299 Jan 29, 2025
3057cf2
clean
anzr299 Jan 29, 2025
e25e594
pre commit fix
anzr299 Jan 29, 2025
bdc43c0
Merge branch 'openvinotoolkit:develop' into fx/dynamic_shapes
anzr299 Jan 29, 2025
c56ff98
update test
anzr299 Feb 4, 2025
8a6a923
Merge branch 'fx/dynamic_shapes' of https://github.com/anzr299/nncf i…
anzr299 Feb 4, 2025
f77b395
pre commit fix && clean
anzr299 Feb 4, 2025
ced6be1
Comment Fix
anzr299 Feb 4, 2025
62979bf
comment fixes
anzr299 Feb 4, 2025
292c5f1
Merge branch 'openvinotoolkit:develop' into fx/dynamic_shapes
anzr299 Feb 26, 2025
da74767
update reference graphs
anzr299 Feb 26, 2025
107c711
apply suggested changes
anzr299 Feb 26, 2025
ef28db1
pre commit fix
anzr299 Feb 26, 2025
6ccbba8
update reference graph
anzr299 Feb 26, 2025
ad9f638
remove dynamic shapes extra test
anzr299 Mar 5, 2025
253d703
review changes
anzr299 Mar 5, 2025
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3 changes: 3 additions & 0 deletions nncf/experimental/torch/fx/nncf_graph_builder.py
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Original file line number Diff line number Diff line change
Expand Up @@ -197,6 +197,9 @@ def get_edge_params(
tensor = source_node.meta["val"]
if isinstance(tensor, torch.Tensor):
tensor_shape = tuple(tensor.shape)
tensor_shape = tuple(i.node.hint if isinstance(i, torch.SymInt) else i for i in tensor_shape)
if isinstance(tensor, torch.SymInt):
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Suggested change
if isinstance(tensor, torch.SymInt):
elif isinstance(tensor, torch.SymInt):

tensor_shape = (tensor.node.hint,)

if tensor_shape is None:
# TODO(dlyakhov): Refactor algorithms to always have knowns edges shapes.
Expand Down
1,110 changes: 1,110 additions & 0 deletions ...ta/reference_graphs/fx/dynamic_shapes/post_quantization_compressed/mobilenet_v3_small.dot
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497 changes: 497 additions & 0 deletions ...s/torch/data/reference_graphs/fx/dynamic_shapes/post_quantization_compressed/resnet18.dot
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5,924 changes: 5,924 additions & 0 deletions .../torch/data/reference_graphs/fx/dynamic_shapes/post_quantization_compressed/swin_v2_s.dot
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49 changes: 49 additions & 0 deletions ...reference_graphs/fx/dynamic_shapes/post_quantization_compressed/synthetic_transformer.dot
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@@ -0,0 +1,49 @@
strict digraph {
"0 wte_weight" [id=0, type=get_attr];
"1 linear_bias" [id=1, type=get_attr];
"2 lm_head_bias" [id=2, type=get_attr];
"3 input_ids" [id=3, type=input];
"4 embedding" [id=4, type=embedding];
"5 embedding_0_0_nncf_smooth_quant_0" [id=5, type=call_module];
"6 quantize_per_tensor_default" [id=6, type=quantize_per_tensor];
"7 dequantize_per_tensor_default" [id=7, type=dequantize_per_tensor];
"8 scale_updated_constant0" [id=8, type=get_attr];
"9 compressed_weight_updated_constant0" [id=9, type=get_attr];
"10 mul_tensor" [id=10, type=mul];
"11 zero_point_updated_constant0" [id=11, type=get_attr];
"12 sub_tensor" [id=12, type=sub];
"13 linear" [id=13, type=linear];
"14 linear_0_0_nncf_smooth_quant_0" [id=14, type=call_module];
"15 quantize_per_tensor_default_1" [id=15, type=quantize_per_tensor];
"16 dequantize_per_tensor_default_1" [id=16, type=dequantize_per_tensor];
"17 scale_updated_constant1" [id=17, type=get_attr];
"18 compressed_weight_updated_constant1" [id=18, type=get_attr];
"19 mul_tensor_1" [id=19, type=mul];
"20 zero_point_updated_constant1" [id=20, type=get_attr];
"21 sub_tensor_1" [id=21, type=sub];
"22 linear_1" [id=22, type=linear];
"23 output" [id=23, type=output];
"0 wte_weight" -> "4 embedding" [label="(10, 5)", style=solid];
"1 linear_bias" -> "13 linear" [label="(5,)", style=solid];
"2 lm_head_bias" -> "22 linear_1" [label="(10,)", style=solid];
"3 input_ids" -> "4 embedding" [label="(5,)", style=solid];
"4 embedding" -> "5 embedding_0_0_nncf_smooth_quant_0" [label="(5, 5)", style=solid];
"5 embedding_0_0_nncf_smooth_quant_0" -> "6 quantize_per_tensor_default" [label="(5, 5)", style=solid];
"6 quantize_per_tensor_default" -> "7 dequantize_per_tensor_default" [label="(5, 5)", style=solid];
"7 dequantize_per_tensor_default" -> "13 linear" [label="(5, 5)", style=solid];
"8 scale_updated_constant0" -> "10 mul_tensor" [label="(5, 1)", style=solid];
"9 compressed_weight_updated_constant0" -> "10 mul_tensor" [label="(5, 5)", style=solid];
"10 mul_tensor" -> "12 sub_tensor" [label="(5, 5)", style=solid];
"11 zero_point_updated_constant0" -> "12 sub_tensor" [label="(5, 1)", style=solid];
"12 sub_tensor" -> "13 linear" [label="(5, 5)", style=solid];
"13 linear" -> "14 linear_0_0_nncf_smooth_quant_0" [label="(5, 5)", style=solid];
"14 linear_0_0_nncf_smooth_quant_0" -> "15 quantize_per_tensor_default_1" [label="(5, 5)", style=solid];
"15 quantize_per_tensor_default_1" -> "16 dequantize_per_tensor_default_1" [label="(5, 5)", style=solid];
"16 dequantize_per_tensor_default_1" -> "22 linear_1" [label="(5, 5)", style=solid];
"17 scale_updated_constant1" -> "19 mul_tensor_1" [label="(10, 1)", style=solid];
"18 compressed_weight_updated_constant1" -> "19 mul_tensor_1" [label="(10, 5)", style=solid];
"19 mul_tensor_1" -> "21 sub_tensor_1" [label="(10, 5)", style=solid];
"20 zero_point_updated_constant1" -> "21 sub_tensor_1" [label="(10, 1)", style=solid];
"21 sub_tensor_1" -> "22 linear_1" [label="(10, 5)", style=solid];
"22 linear_1" -> "23 output" [label="(5, 10)", style=solid];
}
515 changes: 515 additions & 0 deletions tests/torch/data/reference_graphs/fx/dynamic_shapes/post_quantization_compressed/unet.dot
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2,011 changes: 2,011 additions & 0 deletions ...s/torch/data/reference_graphs/fx/dynamic_shapes/post_quantization_compressed/vit_b_16.dot
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63 changes: 63 additions & 0 deletions ...ta/reference_graphs/fx/dynamic_shapes/post_quantization_compressed/yolo11n_sdpa_block.dot
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@@ -0,0 +1,63 @@
strict digraph {
"0 x" [id=0, type=input];
"1 x_0_0_nncf_smooth_quant_0" [id=1, type=call_module];
"2 quantize_per_tensor_default" [id=2, type=quantize_per_tensor];
"3 dequantize_per_tensor_default" [id=3, type=dequantize_per_tensor];
"4 scale_updated_constant0" [id=4, type=get_attr];
"5 compressed_weight_updated_constant0" [id=5, type=get_attr];
"6 mul_tensor" [id=6, type=mul];
"7 zero_point_updated_constant0" [id=7, type=get_attr];
"8 sub_tensor" [id=8, type=sub];
"9 linear" [id=9, type=linear];
"10 quantize_per_tensor_default_1" [id=10, type=quantize_per_tensor];
"11 dequantize_per_tensor_default_1" [id=11, type=dequantize_per_tensor];
"12 slice_1" [id=12, type=slice];
"13 slice_2" [id=13, type=slice];
"14 slice_3" [id=14, type=slice];
"15 quantize_per_tensor_default_2" [id=15, type=quantize_per_tensor];
"16 dequantize_per_tensor_default_2" [id=16, type=dequantize_per_tensor];
"17 slice_4" [id=17, type=slice];
"18 slice_5" [id=18, type=slice];
"19 slice_6" [id=19, type=slice];
"20 slice_7" [id=20, type=slice];
"21 slice_8" [id=21, type=slice];
"22 slice_9" [id=22, type=slice];
"23 transpose" [id=23, type=transpose];
"24 matmul" [id=24, type=matmul];
"25 div_" [id=25, type=div_];
"26 softmax" [id=26, type=softmax];
"27 transpose_1" [id=27, type=transpose];
"28 matmul_1" [id=28, type=matmul];
"29 output" [id=29, type=output];
"0 x" -> "1 x_0_0_nncf_smooth_quant_0" [label="(1, 2, 4)", style=solid];
"1 x_0_0_nncf_smooth_quant_0" -> "2 quantize_per_tensor_default" [label="(1, 2, 4)", style=solid];
"2 quantize_per_tensor_default" -> "3 dequantize_per_tensor_default" [label="(1, 2, 4)", style=solid];
"3 dequantize_per_tensor_default" -> "9 linear" [label="(1, 2, 4)", style=solid];
"4 scale_updated_constant0" -> "6 mul_tensor" [label="(12, 1)", style=solid];
"5 compressed_weight_updated_constant0" -> "6 mul_tensor" [label="(12, 4)", style=solid];
"6 mul_tensor" -> "8 sub_tensor" [label="(12, 4)", style=solid];
"7 zero_point_updated_constant0" -> "8 sub_tensor" [label="(12, 1)", style=solid];
"8 sub_tensor" -> "9 linear" [label="(12, 4)", style=solid];
"9 linear" -> "10 quantize_per_tensor_default_1" [label="(1, 2, 12)", style=solid];
"9 linear" -> "15 quantize_per_tensor_default_2" [label="(1, 2, 12)", style=solid];
"9 linear" -> "20 slice_7" [label="(1, 2, 12)", style=solid];
"10 quantize_per_tensor_default_1" -> "11 dequantize_per_tensor_default_1" [label="(1, 2, 12)", style=solid];
"11 dequantize_per_tensor_default_1" -> "12 slice_1" [label="(1, 2, 12)", style=solid];
"12 slice_1" -> "13 slice_2" [label="(1, 2, 12)", style=solid];
"13 slice_2" -> "14 slice_3" [label="(1, 2, 12)", style=solid];
"14 slice_3" -> "24 matmul" [label="(1, 2, 4)", style=solid];
"15 quantize_per_tensor_default_2" -> "16 dequantize_per_tensor_default_2" [label="(1, 2, 12)", style=solid];
"16 dequantize_per_tensor_default_2" -> "17 slice_4" [label="(1, 2, 12)", style=solid];
"17 slice_4" -> "18 slice_5" [label="(1, 2, 12)", style=solid];
"18 slice_5" -> "19 slice_6" [label="(1, 2, 12)", style=solid];
"19 slice_6" -> "23 transpose" [label="(1, 2, 4)", style=solid];
"20 slice_7" -> "21 slice_8" [label="(1, 2, 12)", style=solid];
"21 slice_8" -> "22 slice_9" [label="(1, 2, 12)", style=solid];
"22 slice_9" -> "28 matmul_1" [label="(1, 2, 4)", style=solid];
"23 transpose" -> "24 matmul" [label="(1, 4, 2)", style=solid];
"24 matmul" -> "25 div_" [label="(1, 2, 2)", style=solid];
"25 div_" -> "26 softmax" [label="(1, 2, 2)", style=solid];
"26 softmax" -> "27 transpose_1" [label="(1, 2, 2)", style=solid];
"27 transpose_1" -> "28 matmul_1" [label="(1, 2, 2)", style=solid];
"28 matmul_1" -> "29 output" [label="(1, 2, 4)", style=solid];
}
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