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WebNN: Allow 0-D (scalar) reductions #46209

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May 15, 2024
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WebNN: Allow 0-D (scalar) reductions #46209

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39 changes: 39 additions & 0 deletions webnn/resources/test_data/reduce_l1.json
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Original file line number Diff line number Diff line change
@@ -1,5 +1,44 @@
{
"tests": [
{
"name": "reduceL1 float32 0D constant tensor default options", // default options: {axes: null, keepDimensions: false}
"inputs": {
"input": {
"shape": [],
"data": [
5.50882625579834
],
"type": "float32",
"constant": true
}
},
"expected": {
"name": "output",
"data": 5.50882625579834,
"type": "float32"
}
},
{
"name": "reduceL1 float32 0D constant tensor empty axes",
"inputs": {
"input": {
"shape": [],
"data": [
5.50882625579834
],
"type": "float32",
"constant": true
}
},
"options": {
"axes": []
},
"expected": {
"name": "output",
"data": 5.50882625579834,
"type": "float32"
}
},
{
"name": "reduceL1 float32 1D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
"inputs": {
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39 changes: 39 additions & 0 deletions webnn/resources/test_data/reduce_l2.json
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Original file line number Diff line number Diff line change
@@ -1,5 +1,44 @@
{
"tests": [
{
"name": "reduceL2 float32 0D constant tensor default options", // default options: {axes: null, keepDimensions: false}
"inputs": {
"input": {
"shape": [],
"data": [
4.860228061676025
],
"type": "float32",
"constant": true
}
},
"expected": {
"name": "output",
"data": 4.860228061676025,
"type": "float32"
}
},
{
"name": "reduceL2 float32 0D constant tensor empty axes",
"inputs": {
"input": {
"shape": [],
"data": [
4.860228061676025
],
"type": "float32",
"constant": true
}
},
"options": {
"axes": []
},
"expected": {
"name": "output",
"data": 4.860228061676025,
"type": "float32"
}
},
{
"name": "reduceL2 float32 1D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
"inputs": {
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39 changes: 39 additions & 0 deletions webnn/resources/test_data/reduce_log_sum.json
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Original file line number Diff line number Diff line change
@@ -1,5 +1,44 @@
{
"tests": [
{
"name": "reduceLogSum float32 0D constant tensor default options", // default options: {axes: null, keepDimensions: false}
"inputs": {
"input": {
"shape": [],
"data": [
64.54827117919922
],
"type": "float32",
"constant": true
}
},
"expected": {
"name": "output",
"data": 4.167413234710693,
"type": "float32"
}
},
{
"name": "reduceLogSum float32 0D constant tensor empty axes",
"inputs": {
"input": {
"shape": [],
"data": [
64.54827117919922
],
"type": "float32",
"constant": true
}
},
"options": {
"axes": []
},
"expected": {
"name": "output",
"data": 4.167413234710693,
"type": "float32"
}
},
{
"name": "reduceLogSum float32 1D constant tensor all non-negative default options", // default options: {axes: null, keepDimensions: false}
"inputs": {
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39 changes: 39 additions & 0 deletions webnn/resources/test_data/reduce_log_sum_exp.json
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Original file line number Diff line number Diff line change
@@ -1,5 +1,44 @@
{
"tests": [
{
"name": "reduceLogSumExp float32 0D constant tensor default options", // default options: {axes: null, keepDimensions: false}
"inputs": {
"input": {
"shape": [],
"data": [
0.7974132895469666
],
"type": "float32",
"constant": true
}
},
"expected": {
"name": "output",
"data": 0.7974132895469666,
"type": "float32"
}
},
{
"name": "reduceLogSumExp float32 0D constant tensor empty axes",
"inputs": {
"input": {
"shape": [],
"data": [
0.7974132895469666
],
"type": "float32",
"constant": true
}
},
"options": {
"axes": []
},
"expected": {
"name": "output",
"data": 0.7974132895469666,
"type": "float32"
}
},
{
"name": "reduceLogSumExp float32 1D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
"inputs": {
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39 changes: 39 additions & 0 deletions webnn/resources/test_data/reduce_max.json
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Original file line number Diff line number Diff line change
@@ -1,5 +1,44 @@
{
"tests": [
{
"name": "reduceMax float32 0D constant tensor default options",
"inputs": {
"input": {
"shape": [],
"data": [
32.16658401489258
],
"type": "float32",
"constant": true
}
},
"expected": {
"name": "output",
"data": 32.16658401489258,
"type": "float32"
}
},
{
"name": "reduceMax float32 0D constant tensor empty axes",
"inputs": {
"input": {
"shape": [],
"data": [
32.16658401489258
],
"type": "float32",
"constant": true
}
},
"options": {
"axes": []
},
"expected": {
"name": "output",
"data": 32.16658401489258,
"type": "float32"
}
},
{
"name": "reduceMax float32 1D constant tensor default options",
"inputs": {
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39 changes: 39 additions & 0 deletions webnn/resources/test_data/reduce_mean.json
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Original file line number Diff line number Diff line change
@@ -1,5 +1,44 @@
{
"tests": [
{
"name": "reduceMean float32 0D constant tensor default options",
"inputs": {
"input": {
"shape": [],
"data": [
95.84498596191406
],
"type": "float32",
"constant": true
}
},
"expected": {
"name": "output",
"data": 95.84498596191406,
"type": "float32"
}
},
{
"name": "reduceMean float32 0D constant tensor empty axes",
"inputs": {
"input": {
"shape": [],
"data": [
95.84498596191406
],
"type": "float32",
"constant": true
}
},
"options": {
"axes": []
},
"expected": {
"name": "output",
"data": 95.84498596191406,
"type": "float32"
}
},
{
"name": "reduceMean float32 1D constant tensor all positive default options",
"inputs": {
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39 changes: 39 additions & 0 deletions webnn/resources/test_data/reduce_min.json
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Original file line number Diff line number Diff line change
@@ -1,5 +1,44 @@
{
"tests": [
{
"name": "reduceMin float32 0D constant tensor default options",
"inputs": {
"input": {
"shape": [],
"data": [
-58.76195526123047
],
"type": "float32",
"constant": true
}
},
"expected": {
"name": "output",
"data": -58.76195526123047,
"type": "float32"
}
},
{
"name": "reduceMin float32 0D constant tensor empty axes",
"inputs": {
"input": {
"shape": [],
"data": [
-58.76195526123047
],
"type": "float32",
"constant": true
}
},
"options": {
"axes": []
},
"expected": {
"name": "output",
"data": -58.76195526123047,
"type": "float32"
}
},
{
"name": "reduceMin float32 1D constant tensor default options",
"inputs": {
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39 changes: 39 additions & 0 deletions webnn/resources/test_data/reduce_product.json
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Original file line number Diff line number Diff line change
@@ -1,5 +1,44 @@
{
"tests": [
{
"name": "reduceProduct float32 0D constant tensor default options",
"inputs": {
"input": {
"shape": [],
"data": [
-68.75911712646484
],
"type": "float32",
"constant": true
}
},
"expected": {
"name": "output",
"data": -68.75911712646484,
"type": "float32"
}
},
{
"name": "reduceProduct float32 0D constant tensor empty axes",
"inputs": {
"input": {
"shape": [],
"data": [
-68.75911712646484
],
"type": "float32",
"constant": true
}
},
"options": {
"axes": []
},
"expected": {
"name": "output",
"data": -68.75911712646484,
"type": "float32"
}
},
{
"name": "reduceProduct float32 1D constant tensor default options",
"inputs": {
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