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recipe(bart-large-mnli): text-classification recipe (CPU/fp32, eos value_range workaround) #1068

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Merged
ssss141414 merged 4 commits into from
Jul 15, 2026
Merged

recipe(bart-large-mnli): text-classification recipe (CPU/fp32, eos value_range workaround) #1068

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15c44d6
Add facebook/bart-large-mnli text-classification recipe (CPU/fp32, eo…
ssss141414 Jul 7, 2026
6044a42
recipe(bart-large-mnli): nest under cpu/cpu/ per tested-EP layout (_m…
ssss141414 Jul 13, 2026
729c4ac
recipe(bart-mnli): add validated EP buckets dml/gpu, openvino/gpu, op…
ssss141414 Jul 13, 2026
4691645
fix: generate export-safe BART classification inputs
ssss141414 Jul 15, 2026
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57 changes: 57 additions & 0 deletions examples/recipes/facebook_bart-large-mnli/cpu/cpu/text-classification_fp32_config.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,57 @@
{
"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": "input_ids",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
2,
3
]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
0,
2
]
}
],
"output_tensors": [
{
"name": "logits"
}
]
},
"optim": {
"clamp_constant_values": true,
"gelu_fusion": true,
"matmul_add_fusion": true,
"remove_isnan_in_attention_mask": true
},
"quant": null,
"compile": null,
"loader": {
"task": "text-classification",
"model_class": "AutoModelForSequenceClassification",
"model_type": "bart"
}
}
57 changes: 57 additions & 0 deletions examples/recipes/facebook_bart-large-mnli/dml/gpu/text-classification_fp32_config.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,57 @@
{
"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": "input_ids",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
2,
3
]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
0,
2
]
}
],
"output_tensors": [
{
"name": "logits"
}
]
},
"optim": {
"clamp_constant_values": true,
"gelu_fusion": true,
"matmul_add_fusion": true,
"remove_isnan_in_attention_mask": true
},
"quant": null,
"compile": null,
"loader": {
"task": "text-classification",
"model_class": "AutoModelForSequenceClassification",
"model_type": "bart"
}
}
57 changes: 57 additions & 0 deletions examples/recipes/facebook_bart-large-mnli/openvino/cpu/text-classification_fp32_config.json
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Original file line number Diff line number Diff line change
@@ -0,0 +1,57 @@
{
"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": "input_ids",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
2,
3
]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
0,
2
]
}
],
"output_tensors": [
{
"name": "logits"
}
]
},
"optim": {
"clamp_constant_values": true,
"gelu_fusion": true,
"matmul_add_fusion": true,
"remove_isnan_in_attention_mask": true
},
"quant": null,
"compile": null,
"loader": {
"task": "text-classification",
"model_class": "AutoModelForSequenceClassification",
"model_type": "bart"
}
}
57 changes: 57 additions & 0 deletions examples/recipes/facebook_bart-large-mnli/openvino/gpu/text-classification_fp32_config.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,57 @@
{
"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": "input_ids",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
2,
3
]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
0,
2
]
}
],
"output_tensors": [
{
"name": "logits"
}
]
},
"optim": {
"clamp_constant_values": true,
"gelu_fusion": true,
"matmul_add_fusion": true,
"remove_isnan_in_attention_mask": true
},
"quant": null,
"compile": null,
"loader": {
"task": "text-classification",
"model_class": "AutoModelForSequenceClassification",
"model_type": "bart"
}
}
57 changes: 57 additions & 0 deletions examples/recipes/facebook_bart-large-mnli/openvino/npu/text-classification_fp32_config.json
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Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,57 @@
{
"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": "input_ids",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
2,
3
]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
0,
2
]
}
],
"output_tensors": [
{
"name": "logits"
}
]
},
"optim": {
"clamp_constant_values": true,
"gelu_fusion": true,
"matmul_add_fusion": true,
"remove_isnan_in_attention_mask": true
},
"quant": null,
"compile": null,
"loader": {
"task": "text-classification",
"model_class": "AutoModelForSequenceClassification",
"model_type": "bart"
}
}
57 changes: 57 additions & 0 deletions examples/recipes/facebook_bart-large-mnli/qnn/npu/text-classification_fp32_config.json
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Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,57 @@
{
"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": "input_ids",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
2,
3
]
},
{
"name": "attention_mask",
"dtype": "int32",
"shape": [
1,
1024
],
"value_range": [
0,
2
]
}
],
"output_tensors": [
{
"name": "logits"
}
]
},
"optim": {
"clamp_constant_values": true,
"gelu_fusion": true,
"matmul_add_fusion": true,
"remove_isnan_in_attention_mask": true
},
"quant": null,
"compile": null,
"loader": {
"task": "text-classification",
"model_class": "AutoModelForSequenceClassification",
"model_type": "bart"
}
}
4 changes: 4 additions & 0 deletions src/winml/modelkit/models/hf/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,6 +32,10 @@
from .bart import MODEL_CLASS_MAPPING as _BART_CLASS_MAPPING
from .bart import BartDecoderIOConfig as _BartDecoderIOConfig # triggers registration
from .bart import BartEncoderIOConfig as _BartEncoderIOConfig # triggers registration
from .bart import (
# triggers registration
BartSequenceClassificationIOConfig as _BartSequenceClassificationIOConfig,
)
from .bert import BERT_CONFIG
from .blip import BLIP_CONFIG
from .blip import MODEL_CLASS_MAPPING as _BLIP_CLASS_MAPPING
Expand Down
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