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-rw-r--r--tests/wpt/tests/webnn/conformance_tests/pad.https.any.js369
1 files changed, 338 insertions, 31 deletions
diff --git a/tests/wpt/tests/webnn/conformance_tests/pad.https.any.js b/tests/wpt/tests/webnn/conformance_tests/pad.https.any.js
index 54289aa9b46..c2ba0e45b8f 100644
--- a/tests/wpt/tests/webnn/conformance_tests/pad.https.any.js
+++ b/tests/wpt/tests/webnn/conformance_tests/pad.https.any.js
@@ -14,8 +14,7 @@
// enum MLPaddingMode {
// "constant",
// "edge",
-// "reflection",
-// "symmetric"
+// "reflection"
// };
//
// dictionary MLPadOptions {
@@ -29,11 +28,8 @@
// optional MLPadOptions options = {});
-const getPadPrecisionTolerance = (graphResources) => {
- const toleranceValueDict = {float32: 0, float16: 0};
- const expectedDataType =
- getExpectedDataTypeOfSingleOutput(graphResources.expectedOutputs);
- return {metricType: 'ULP', value: toleranceValueDict[expectedDataType]};
+const getPadPrecisionTolerance = () => {
+ return {metricType: 'ULP', value: 0};
};
const padTests = [
@@ -678,49 +674,360 @@ const padTests = [
}
}
},
+
+
+ // float16 tests
{
- 'name': 'pad float32 4D tensor options.mode=\'symmetric\'',
+ 'name': 'pad float16 1D constant tensor default options',
'graph': {
'inputs': {
'padInput': {
'data': [
- 22.76361846923828, -21.168529510498047, -91.66168975830078,
- 16.863798141479492, 60.51472091674805, -70.56755065917969,
- -60.643272399902344, -47.8821907043457, 68.72557830810547
+ 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75
],
- 'descriptor': {shape: [1, 3, 3, 1], dataType: 'float32'}
+ 'descriptor': {shape: [9], dataType: 'float16'},
+ 'constant': true
+ }
+ },
+ 'operators': [{
+ 'name': 'pad',
+ 'arguments': [
+ {'input': 'padInput'}, {'beginningPadding': [1]},
+ {'endingPadding': [1]}
+ ],
+ 'outputs': 'padOutput'
+ }],
+ 'expectedOutputs': {
+ 'padOutput': {
+ 'data': [
+ 0, 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75, 0
+ ],
+ 'descriptor': {shape: [11], dataType: 'float16'}
+ }
+ }
+ }
+ },
+ {
+ 'name': 'pad float16 1D tensor default options',
+ 'graph': {
+ 'inputs': {
+ 'padInput': {
+ 'data': [
+ 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75
+ ],
+ 'descriptor': {shape: [9], dataType: 'float16'}
+ }
+ },
+ 'operators': [{
+ 'name': 'pad',
+ 'arguments': [
+ {'input': 'padInput'}, {'beginningPadding': [1]},
+ {'endingPadding': [1]}
+ ],
+ 'outputs': 'padOutput'
+ }],
+ 'expectedOutputs': {
+ 'padOutput': {
+ 'data': [
+ 0, 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75, 0
+ ],
+ 'descriptor': {shape: [11], dataType: 'float16'}
+ }
+ }
+ }
+ },
+ {
+ 'name': 'pad float16 2D tensor default options',
+ 'graph': {
+ 'inputs': {
+ 'padInput': {
+ 'data': [
+ 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75
+ ],
+ 'descriptor': {shape: [3, 3], dataType: 'float16'}
+ }
+ },
+ 'operators': [{
+ 'name': 'pad',
+ 'arguments': [
+ {'input': 'padInput'}, {'beginningPadding': [1, 1]},
+ {'endingPadding': [1, 1]}
+ ],
+ 'outputs': 'padOutput'
+ }],
+ 'expectedOutputs': {
+ 'padOutput': {
+ 'data': [
+ 0, 0, 0, 0, 0,
+ 0, 22.765625, -21.171875, -91.6875, 0,
+ 0, 16.859375, 60.5, -70.5625, 0,
+ 0, -60.65625, -47.875, 68.75, 0,
+ 0, 0, 0, 0, 0
+ ],
+ 'descriptor': {shape: [5, 5], dataType: 'float16'}
+ }
+ }
+ }
+ },
+ {
+ 'name': 'pad float16 3D tensor default options',
+ 'graph': {
+ 'inputs': {
+ 'padInput': {
+ 'data': [
+ 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75
+ ],
+ 'descriptor': {shape: [1, 3, 3], dataType: 'float16'}
+ }
+ },
+ 'operators': [{
+ 'name': 'pad',
+ 'arguments': [
+ {'input': 'padInput'}, {'beginningPadding': [1, 1, 1]},
+ {'endingPadding': [1, 1, 1]}
+ ],
+ 'outputs': 'padOutput'
+ }],
+ 'expectedOutputs': {
+ 'padOutput': {
+ 'data': [
+ 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0,
+ 0, 22.765625, -21.171875, -91.6875, 0, 0,
+ 16.859375, 60.5, -70.5625, 0, 0, -60.65625,
+ -47.875, 68.75, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0,
+ 0, 0, 0
+ ],
+ 'descriptor': {shape: [3, 5, 5], dataType: 'float16'}
+ }
+ }
+ }
+ },
+ {
+ 'name': 'pad float16 4D tensor default options',
+ 'graph': {
+ 'inputs': {
+ 'padInput': {
+ 'data': [
+ 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75
+ ],
+ 'descriptor': {shape: [1, 3, 3, 1], dataType: 'float16'}
+ }
+ },
+ 'operators': [{
+ 'name': 'pad',
+ 'arguments': [
+ {'input': 'padInput'}, {'beginningPadding': [0, 1, 1, 1]},
+ {'endingPadding': [0, 1, 1, 1]}
+ ],
+ 'outputs': 'padOutput'
+ }],
+ 'expectedOutputs': {
+ 'padOutput': {
+ 'data': [
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0, 0, 22.765625, 0, 0, -21.171875, 0,
+ 0, -91.6875, 0, 0, 0, 0, 0, 0, 0, 0, 16.859375, 0,
+ 0, 60.5, 0, 0, -70.5625, 0, 0, 0, 0, 0, 0, 0,
+ 0, -60.65625, 0, 0, -47.875, 0, 0, 68.75, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+ 0, 0, 0
+ ],
+ 'descriptor': {shape: [1, 5, 5, 3], dataType: 'float16'}
+ }
+ }
+ }
+ },
+ {
+ 'name': 'pad float16 5D tensor default options',
+ 'graph': {
+ 'inputs': {
+ 'padInput': {
+ 'data': [
+ 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75
+ ],
+ 'descriptor': {shape: [1, 3, 3, 1, 1], dataType: 'float16'}
+ }
+ },
+ 'operators': [{
+ 'name': 'pad',
+ 'arguments': [
+ {'input': 'padInput'}, {'beginningPadding': [0, 1, 1, 0, 1]},
+ {'endingPadding': [0, 1, 1, 0, 1]}
+ ],
+ 'outputs': 'padOutput'
+ }],
+ 'expectedOutputs': {
+ 'padOutput': {
+ 'data': [
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0, 0, 22.765625, 0, 0, -21.171875, 0,
+ 0, -91.6875, 0, 0, 0, 0, 0, 0, 0, 0, 16.859375, 0,
+ 0, 60.5, 0, 0, -70.5625, 0, 0, 0, 0, 0, 0, 0,
+ 0, -60.65625, 0, 0, -47.875, 0, 0, 68.75, 0, 0, 0, 0,
+ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
+ 0, 0, 0
+ ],
+ 'descriptor': {shape: [1, 5, 5, 1, 3], dataType: 'float16'}
+ }
+ }
+ }
+ },
+ {
+ 'name': 'pad float16 2D tensor explicit options.mode=\'constant\'',
+ 'graph': {
+ 'inputs': {
+ 'padInput': {
+ 'data': [
+ 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75
+ ],
+ 'descriptor': {shape: [3, 3], dataType: 'float16'}
+ }
+ },
+ 'operators': [{
+ 'name': 'pad',
+ 'arguments': [
+ {'input': 'padInput'}, {'beginningPadding': [1, 1]},
+ {'endingPadding': [1, 1]}, {'options': {'mode': 'constant'}}
+ ],
+ 'outputs': 'padOutput'
+ }],
+ 'expectedOutputs': {
+ 'padOutput': {
+ 'data': [
+ 0, 0, 0, 0, 0,
+ 0, 22.765625, -21.171875, -91.6875, 0,
+ 0, 16.859375, 60.5, -70.5625, 0,
+ 0, -60.65625, -47.875, 68.75, 0,
+ 0, 0, 0, 0, 0
+ ],
+ 'descriptor': {shape: [5, 5], dataType: 'float16'}
+ }
+ }
+ }
+ },
+ {
+ 'name': 'pad float16 2D tensor options.value default constant mode',
+ 'graph': {
+ 'inputs': {
+ 'padInput': {
+ 'data': [
+ 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75
+ ],
+ 'descriptor': {shape: [3, 3], dataType: 'float16'}
+ }
+ },
+ 'operators': [{
+ 'name': 'pad',
+ 'arguments': [
+ {'input': 'padInput'}, {'beginningPadding': [1, 1]},
+ {'endingPadding': [1, 1]}, {'options': {'value': 1}}
+ ],
+ 'outputs': 'padOutput'
+ }],
+ 'expectedOutputs': {
+ 'padOutput': {
+ 'data': [
+ 1, 1, 1, 1, 1,
+ 1, 22.765625, -21.171875, -91.6875, 1,
+ 1, 16.859375, 60.5, -70.5625, 1,
+ 1, -60.65625, -47.875, 68.75, 1,
+ 1, 1, 1, 1, 1
+ ],
+ 'descriptor': {shape: [5, 5], dataType: 'float16'}
+ }
+ }
+ }
+ },
+ {
+ 'name': 'pad float16 4D tensor options.mode=\'edge\'',
+ 'graph': {
+ 'inputs': {
+ 'padInput': {
+ 'data': [
+ 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75
+ ],
+ 'descriptor': {shape: [1, 3, 3, 1], dataType: 'float16'}
}
},
'operators': [{
'name': 'pad',
'arguments': [
{'input': 'padInput'}, {'beginningPadding': [0, 2, 2, 0]},
- {'endingPadding': [0, 2, 2, 0]}, {'options': {'mode': 'symmetric'}}
+ {'endingPadding': [0, 2, 2, 0]}, {'options': {'mode': 'edge'}}
],
'outputs': 'padOutput'
}],
'expectedOutputs': {
'padOutput': {
'data': [
- 60.51472091674805, 16.863798141479492, 16.863798141479492,
- 60.51472091674805, -70.56755065917969, -70.56755065917969,
- 60.51472091674805, -21.168529510498047, 22.76361846923828,
- 22.76361846923828, -21.168529510498047, -91.66168975830078,
- -91.66168975830078, -21.168529510498047, -21.168529510498047,
- 22.76361846923828, 22.76361846923828, -21.168529510498047,
- -91.66168975830078, -91.66168975830078, -21.168529510498047,
- 60.51472091674805, 16.863798141479492, 16.863798141479492,
- 60.51472091674805, -70.56755065917969, -70.56755065917969,
- 60.51472091674805, -47.8821907043457, -60.643272399902344,
- -60.643272399902344, -47.8821907043457, 68.72557830810547,
- 68.72557830810547, -47.8821907043457, -47.8821907043457,
- -60.643272399902344, -60.643272399902344, -47.8821907043457,
- 68.72557830810547, 68.72557830810547, -47.8821907043457,
- 60.51472091674805, 16.863798141479492, 16.863798141479492,
- 60.51472091674805, -70.56755065917969, -70.56755065917969,
- 60.51472091674805
+ 22.765625, 22.765625, 22.765625, -21.171875, -91.6875, -91.6875,
+ -91.6875, 22.765625, 22.765625, 22.765625, -21.171875, -91.6875,
+ -91.6875, -91.6875, 22.765625, 22.765625, 22.765625, -21.171875,
+ -91.6875, -91.6875, -91.6875, 16.859375, 16.859375, 16.859375,
+ 60.5, -70.5625, -70.5625, -70.5625, -60.65625, -60.65625,
+ -60.65625, -47.875, 68.75, 68.75, 68.75, -60.65625,
+ -60.65625, -60.65625, -47.875, 68.75, 68.75, 68.75,
+ -60.65625, -60.65625, -60.65625, -47.875, 68.75, 68.75,
+ 68.75
],
- 'descriptor': {shape: [1, 7, 7, 1], dataType: 'float32'}
+ 'descriptor': {shape: [1, 7, 7, 1], dataType: 'float16'}
+ }
+ }
+ }
+ },
+ {
+ 'name': 'pad float16 4D tensor options.mode=\'reflection\'',
+ 'graph': {
+ 'inputs': {
+ 'padInput': {
+ 'data': [
+ 22.765625, -21.171875, -91.6875, 16.859375, 60.5, -70.5625,
+ -60.65625, -47.875, 68.75
+ ],
+ 'descriptor': {shape: [1, 3, 3, 1], dataType: 'float16'}
+ }
+ },
+ 'operators': [{
+ 'name': 'pad',
+ 'arguments': [
+ {'input': 'padInput'}, {'beginningPadding': [0, 2, 2, 0]},
+ {'endingPadding': [0, 2, 2, 0]}, {'options': {'mode': 'reflection'}}
+ ],
+ 'outputs': 'padOutput'
+ }],
+ 'expectedOutputs': {
+ 'padOutput': {
+ 'data': [
+ 68.75, -47.875, -60.65625, -47.875, 68.75, -47.875,
+ -60.65625, -70.5625, 60.5, 16.859375, 60.5, -70.5625,
+ 60.5, 16.859375, -91.6875, -21.171875, 22.765625, -21.171875,
+ -91.6875, -21.171875, 22.765625, -70.5625, 60.5, 16.859375,
+ 60.5, -70.5625, 60.5, 16.859375, 68.75, -47.875,
+ -60.65625, -47.875, 68.75, -47.875, -60.65625, -70.5625,
+ 60.5, 16.859375, 60.5, -70.5625, 60.5, 16.859375,
+ -91.6875, -21.171875, 22.765625, -21.171875, -91.6875, -21.171875,
+ 22.765625
+ ],
+ 'descriptor': {shape: [1, 7, 7, 1], dataType: 'float16'}
}
}
}
generated by cgit v1.2.3 (git 2.25.1) at 2025-05-28 16:06:30 +0000