From 26a029d407be480d791972afb5975cf62c9360a6 Mon Sep 17 00:00:00 2001
From: Daniel Baumann <daniel.baumann@progress-linux.org>
Date: Fri, 19 Apr 2024 02:47:55 +0200
Subject: Adding upstream version 124.0.1.

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
---
 .../tests/webnn/resources/test_data/reduce_l2.json | 743 +++++++++++++++++++++
 1 file changed, 743 insertions(+)
 create mode 100644 testing/web-platform/tests/webnn/resources/test_data/reduce_l2.json

(limited to 'testing/web-platform/tests/webnn/resources/test_data/reduce_l2.json')

diff --git a/testing/web-platform/tests/webnn/resources/test_data/reduce_l2.json b/testing/web-platform/tests/webnn/resources/test_data/reduce_l2.json
new file mode 100644
index 0000000000..7e59a45d5e
--- /dev/null
+++ b/testing/web-platform/tests/webnn/resources/test_data/reduce_l2.json
@@ -0,0 +1,743 @@
+{
+  "tests": [
+    {
+      "name": "reduceL2 float32 1D constant tensor all positive default options", // default options: {axes: null, keepDimensions: false}
+      "inputs": {
+        "input": {
+          "shape": [24],
+          "data": [
+            4.860227954324237,
+            88.23184532015614,
+            54.489688892595865,
+            64.75027573238448,
+            6.855991445231058,
+            91.3987084155092,
+            41.888577644260664,
+            73.65445188651776,
+            35.31573479319383,
+            48.345430062443896,
+            82.3919051922353,
+            77.86200561022456,
+            93.31141688733462,
+            62.486883544675194,
+            60.292898644959706,
+            13.23059966965019,
+            20.535988317971942,
+            53.451616950541414,
+            11.32008585820996,
+            64.75763553379184,
+            43.65894603418228,
+            0.8374307376408652,
+            0.6848266407317727,
+            33.504704671527506
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 272.0996398925781,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceL2 float32 1D tensor all positive default options", // default options: {axes: null, keepDimensions: false}
+      "inputs": {
+        "input": {
+          "shape": [24],
+          "data": [
+            4.860227954324237,
+            88.23184532015614,
+            54.489688892595865,
+            64.75027573238448,
+            6.855991445231058,
+            91.3987084155092,
+            41.888577644260664,
+            73.65445188651776,
+            35.31573479319383,
+            48.345430062443896,
+            82.3919051922353,
+            77.86200561022456,
+            93.31141688733462,
+            62.486883544675194,
+            60.292898644959706,
+            13.23059966965019,
+            20.535988317971942,
+            53.451616950541414,
+            11.32008585820996,
+            64.75763553379184,
+            43.65894603418228,
+            0.8374307376408652,
+            0.6848266407317727,
+            33.504704671527506
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 272.0996398925781,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceL2 float32 1D tensor all negative default options",
+      "inputs": {
+        "input": {
+          "shape": [24],
+          "data": [
+            -66.80042739154972,
+            -53.00005108985402,
+            -59.58587770117833,
+            -46.14393008028177,
+            -49.60613922872308,
+            -12.832738832929593,
+            -88.05061277508285,
+            -75.56246522621561,
+            -50.767774970060664,
+            -36.96630141451547,
+            -26.34404432713906,
+            -58.905464928590476,
+            -94.28752832403735,
+            -22.780279721601616,
+            -84.34877530084705,
+            -60.477345782692815,
+            -41.45580712299912,
+            -92.84781353832356,
+            -85.0544854150549,
+            -30.23526041853337,
+            -47.33807956591096,
+            -25.26842900087003,
+            -78.1195878278582,
+            -28.3309437256642
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 292.57574462890625,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceL2 float32 1D tensor all positive integers default options", // test with float32 values which are equivalent to integers
+      "inputs": {
+        "input": {
+          "shape": [24],
+          "data": [
+            4,
+            29,
+            8,
+            56,
+            42,
+            78,
+            89,
+            64,
+            56,
+            81,
+            85,
+            18,
+            6,
+            39,
+            35,
+            63,
+            87,
+            50,
+            81,
+            89,
+            5,
+            8,
+            37,
+            37
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 274.4029846191406,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceL2 float32 1D tensor all negative integers default options", // test with float32 values which are equivalent to integers
+      "inputs": {
+        "input": {
+          "shape": [24],
+          "data": [
+            -70,
+            -78,
+            -65,
+            -77,
+            -25,
+            -47,
+            -63,
+            -67,
+            -66,
+            -15,
+            -28,
+            -75,
+            -88,
+            -54,
+            -13,
+            -27,
+            -5,
+            -18,
+            -68,
+            -71,
+            -50,
+            -56,
+            -99,
+            -99
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 300.3830871582031,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceL2 float32 2D tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [4, 6],
+          "data": [
+            4.860227954324237,
+            88.23184532015614,
+            54.489688892595865,
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+            6.855991445231058,
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+            41.888577644260664,
+            73.65445188651776,
+            35.31573479319383,
+            48.345430062443896,
+            82.3919051922353,
+            77.86200561022456,
+            93.31141688733462,
+            62.486883544675194,
+            60.292898644959706,
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+            20.535988317971942,
+            53.451616950541414,
+            11.32008585820996,
+            64.75763553379184,
+            43.65894603418228,
+            0.8374307376408652,
+            0.6848266407317727,
+            33.504704671527506
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 272.0996398925781,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceL2 float32 3D tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [2, 3, 4],
+          "data": [
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+            0.8374307376408652,
+            0.6848266407317727,
+            33.504704671527506
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 272.0996398925781,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceL2 float32 4D tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [2, 2, 2, 3],
+          "data": [
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+            0.6848266407317727,
+            33.504704671527506
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 272.0996398925781,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceL2 float32 5D tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [2, 1, 4, 1, 3],
+          "data": [
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+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 272.0996398925781,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceL2 float32 3D tensor options.axes",
+      "inputs": {
+        "input": {
+          "shape": [2, 3, 4],
+          "data": [
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+          "type": "float32"
+        }
+      },
+      "options": {
+        "axes": [2]
+      },
+      "expected": {
+        "name": "output",
+        "shape": [2, 3],
+        "data": [
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+        "type": "float32"
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+    },
+    {
+      "name": "reduceL2 float32 4D tensor options.axes",
+      "inputs": {
+        "input": {
+          "shape": [2, 2, 2, 3],
+          "data": [
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+      "options": {
+        "axes": [0, 2]
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+      "expected": {
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+      "name": "reduceL2 float32 3D tensor options.keepDimensions=false",
+      "inputs": {
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+      "options": {
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+      "expected": {
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+        "type": "float32"
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+    },
+    {
+      "name": "reduceL2 float32 3D tensor options.keepDimensions=true",
+      "inputs": {
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+          "type": "float32"
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+      },
+      "options": {
+        "keepDimensions": true
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+      "expected": {
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+        "shape": [1, 1, 1],
+        "data": [
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+      }
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+    {
+      "name": "reduceL2 float32 4D tensor options.keepDimensions=false",
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+      "options": {
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+    {
+      "name": "reduceL2 float32 4D tensor options.keepDimensions=true",
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+          "type": "float32"
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+      },
+      "options": {
+        "keepDimensions": true
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+      "expected": {
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+        "data": [
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+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceL2 float32 4D tensor options.axes with options.keepDimensions=false",
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+          "type": "float32"
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+      "options": {
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+    {
+      "name": "reduceL2 float32 4D tensor options.axes with options.keepDimensions=true",
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+}
\ No newline at end of file
-- 
cgit v1.2.3