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feat(owlv2): add CPU fp32/fp16 recipes and Einsum op support #1187

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feat(owlv2): add CPU fp32/fp16 recipes and Einsum op support #1187

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868c1ff
feat(owlv2): add CPU fp32/fp16 recipes and Einsum op input generator
Jul 23, 2026
a7bef22
fix(einsum): derive semantic properties from equation for rule matching
Jul 24, 2026
c3d7e33
fix(einsum): use consistent onnx import style to resolve CodeQL warning
Jul 24, 2026
3cfcf40
style(einsum): fix import sorting order for ruff I001
Jul 24, 2026
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97 changes: 97 additions & 0 deletions ...s/google_owlv2-large-patch14-ensemble/cpu/cpu/zero-shot-object-detection_fp16_config.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,97 @@
{
"export": {
"opset_version": 17,
"batch_size": 1,
"export_params": true,
"do_constant_folding": true,
"verbose": false,
"dynamo": false,
"enable_hierarchy_tags": true,
"clean_onnx": false,
"hierarchy_tag_format": "full",
"input_tensors": [
{
"name": "pixel_values",
"dtype": "float32",
"shape": [
1,
3,
1008,
1008
],
"value_range": [
0,
1
]
},
{
"name": "input_ids",
"dtype": "int32",
"shape": [
1,
16
],
"value_range": [
0,
49408
]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [
1,
16
],
"value_range": [
0,
2
]
}
],
"output_tensors": [
{
"name": "logits"
},
{
"name": "pred_boxes"
},
{
"name": "text_embeds"
},
{
"name": "image_embeds"
}
]
},
"optim": {},
"quant": {
"mode": "fp16",
"samples": 10,
"calibration_method": "minmax",
"weight_type": "uint8",
"activation_type": "uint8",
"per_channel": false,
"symmetric": false,
"weight_symmetric": null,
"activation_symmetric": null,
"save_calibration": false,
"distribution": "uniform",
"seed": null,
"calibration_load_path": null,
"calibration_save_path": null,
"op_types_to_quantize": null,
"nodes_to_exclude": null,
"task": "zero-shot-object-detection",
"model_id": "google/owlv2-large-patch14-ensemble",
"model_type": "owlv2",
"fp16_keep_io_types": true,
"fp16_op_block_list": null
},
"compile": null,
"loader": {
"task": "zero-shot-object-detection",
"model_class": "AutoModelForZeroShotObjectDetection",
"model_type": "owlv2"
}
}
75 changes: 75 additions & 0 deletions ...s/google_owlv2-large-patch14-ensemble/cpu/cpu/zero-shot-object-detection_fp32_config.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,75 @@
{
"export": {
"opset_version": 17,
"batch_size": 1,
"export_params": true,
"do_constant_folding": true,
"verbose": false,
"dynamo": false,
"enable_hierarchy_tags": true,
"clean_onnx": false,
"hierarchy_tag_format": "full",
"input_tensors": [
{
"name": "pixel_values",
"dtype": "float32",
"shape": [
1,
3,
1008,
1008
],
"value_range": [
0,
1
]
},
{
"name": "input_ids",
"dtype": "int32",
"shape": [
1,
16
],
"value_range": [
0,
49408
]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [
1,
16
],
"value_range": [
0,
2
]
}
],
"output_tensors": [
{
"name": "logits"
},
{
"name": "pred_boxes"
},
{
"name": "text_embeds"
},
{
"name": "image_embeds"
}
]
},
"optim": {},
"quant": null,
"compile": null,
"loader": {
"task": "zero-shot-object-detection",
"model_class": "AutoModelForZeroShotObjectDetection",
"model_type": "owlv2"
}
}
1 change: 1 addition & 0 deletions src/winml/modelkit/pattern/op_input_gen/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
from .binary_like_input_generator import *
from .constant_of_shape_input_generator import ConstantOfShapeInputGenerator
from .conv_input_generator import *
from .einsum_input_generator import EinsumInputGenerator
from .expand_input_generator import ExpandInputGenerator
from .flatten_input_generator import FlattenInputGenerator
from .global_pooling_input_generator import *
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