mirror of
https://github.com/saymrwulf/onnxruntime.git
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641c3a4a37
### Description update op test schema. This changes fixes several problems for operator tests for web: - `opsets` -> `opset`: an operator uses exactly one opset instead of multiple - `condition` -> `platformCondition`: make it less confusing - `inputShapeDefinitions`: allows to test ORT behaviors when it get no/partial/full shape info. Added a JSON schema file and also an example file
236 lines
5.8 KiB
Text
236 lines
5.8 KiB
Text
[
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{
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"name": "ResizeBilinearPacked with mode half_pixel",
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"operator": "Resize",
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"opset": { "domain": "", "version": 11 },
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"attributes": [
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// { "name": "scales", "data": [1.0, 1.0, 2.0, 3.0], "type": "floats" },
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{
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"name": "coordinate_transformation_mode",
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"data": "half_pixel",
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"type": "string"
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},
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{
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"name": "mode",
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"data": "linear",
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"type": "string"
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}
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],
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"cases": [
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{
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"name": "T[0,3]",
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"inputs": [
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{
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"data": [1, 2, 3, 4],
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"dims": [1, 1, 2, 2],
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"type": "float32"
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},
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{
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"data": [],
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"dims": [0],
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"type": "float32"
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},
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{
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"data": [1, 1, 2, 2],
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"dims": [4],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [1, 1.25, 1.75, 2, 1.5, 1.75, 2.25, 2.5, 2.5, 2.75, 3.25, 3.5, 3, 3.25, 3.75, 4],
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"dims": [1, 1, 4, 4],
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"type": "float32"
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}
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]
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}
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]
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},
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{
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"name": "ResizeBilinearPacked with mode align_corners",
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"operator": "Resize",
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"opset": { "domain": "", "version": 11 },
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"attributes": [
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{
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"name": "coordinate_transformation_mode",
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"data": "align_corners",
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"type": "string"
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},
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{
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"name": "mode",
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"data": "linear",
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"type": "string"
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}
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],
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"cases": [
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{
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"name": "T[0,3]",
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"inputs": [
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{
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"data": [1, 2, 3, 4],
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"dims": [1, 1, 2, 2],
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"type": "float32"
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},
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{
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"data": [],
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"dims": [0],
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"type": "float32"
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},
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{
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"data": [1, 1, 2, 2],
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"dims": [4],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [1, 1.3333, 1.6666, 2, 1.6666, 2, 2.3333, 2.6666, 2.3333, 2.6666, 3, 3.3333, 3, 3.3333, 3.6666, 4],
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"dims": [1, 1, 4, 4],
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"type": "float32"
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}
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]
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}
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]
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},
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{
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"name": "ResizeBilinearPacked with asymmetric",
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"operator": "Resize",
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"opset": { "domain": "", "version": 11 },
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"attributes": [
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{
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"name": "coordinate_transformation_mode",
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"data": "asymmetric",
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"type": "string"
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},
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{
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"name": "mode",
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"data": "linear",
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"type": "string"
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}
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],
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"cases": [
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{
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"name": "input 1x1x2x2 with scales",
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"inputs": [
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{
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"data": [1, 2, 3, 4],
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"dims": [1, 1, 2, 2],
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"type": "float32"
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},
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{
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"data": [],
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"dims": [0],
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"type": "float32"
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},
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{
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"data": [1, 1, 2, 2],
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"dims": [4],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [1.0, 1.5, 2.0, 2.0, 2.0, 2.5, 3.0, 3.0, 3.0, 3.5, 4.0, 4.0, 3.0, 3.5, 4.0, 4.0],
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"dims": [1, 1, 4, 4],
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"type": "float32"
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}
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]
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},
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{
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"name": "input 1x1x2x2 with sizes",
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"inputs": [
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{
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"data": [1, 2, 3, 4],
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"dims": [1, 1, 2, 2],
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"type": "float32"
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},
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{
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"data": [],
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"dims": [0],
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"type": "float32"
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},
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{
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"data": [],
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"dims": [0],
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"type": "float32"
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},
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{
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"data": [1, 1, 4, 4],
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"dims": [4],
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"type": "int32"
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}
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],
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"outputs": [
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{
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"data": [1.0, 1.5, 2.0, 2.0, 2.0, 2.5, 3.0, 3.0, 3.0, 3.5, 4.0, 4.0, 3.0, 3.5, 4.0, 4.0],
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"dims": [1, 1, 4, 4],
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"type": "float32"
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}
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]
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},
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{
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"name": "input 1x1x4x3 with sizes",
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"inputs": [
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{
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"data": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],
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"dims": [1, 1, 4, 3],
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"type": "float32"
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},
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{
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"data": [],
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"dims": [0],
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"type": "float32"
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},
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{
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"data": [1, 1, 3, 2],
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"dims": [4],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [
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1.0, 1.5, 2.0, 2.5, 3.0, 3.0, 2.0, 2.5, 3.0, 3.5, 4.0, 4, 3.0, 3.5, 4.0, 4.5, 5.0, 5.0, 4.0, 4.5, 5.0,
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5.5, 6.0, 6.0, 5.0, 5.5, 6.0, 6.5, 7.0, 7.0, 6.0, 6.5, 7.0, 7.5, 8.0, 8.0, 7.0, 7.5, 8.0, 8.5, 9.0, 9.0,
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8.0, 8.5, 9.0, 9.5, 10.0, 10.0, 9.0, 9.5, 10.0, 10.5, 11.0, 11.0, 10.0, 10.5, 11.0, 11.5, 12.0, 12.0,
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10.0, 10.5, 11.0, 11.5, 12.0, 12.0, 10.0, 10.5, 11.0, 11.5, 12.0, 12.0
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],
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"dims": [1, 1, 12, 6],
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"type": "float32"
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}
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]
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},
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{
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"name": "input 1x2x3x2 with sizes",
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"inputs": [
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{
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"data": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],
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"dims": [1, 2, 3, 2],
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"type": "float32"
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},
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{
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"data": [],
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"dims": [0],
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"type": "float32"
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},
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{
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"data": [1, 1, 2, 2],
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"dims": [4],
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"type": "float32"
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}
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],
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"outputs": [
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{
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"data": [
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1.0, 1.5, 2.0, 2.0, 2.0, 2.5, 3.0, 3.0, 3.0, 3.5, 4.0, 4.0, 4.0, 4.5, 5.0, 5.0, 5.0, 5.5, 6.0, 6.0, 5.0,
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5.5, 6.0, 6.0, 7.0, 7.5, 8.0, 8.0, 8.0, 8.5, 9.0, 9.0, 9.0, 9.5, 10.0, 10.0, 10.0, 10.5, 11.0, 11.0, 11.0,
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11.5, 12.0, 12.0, 11.0, 11.5, 12.0, 12.0
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],
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"dims": [1, 2, 6, 4],
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"type": "float32"
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}
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]
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}
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]
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}
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]
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