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/linear.json    | 818 +++++++++++++++++++++
 1 file changed, 818 insertions(+)
 create mode 100644 testing/web-platform/tests/webnn/resources/test_data/linear.json

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

diff --git a/testing/web-platform/tests/webnn/resources/test_data/linear.json b/testing/web-platform/tests/webnn/resources/test_data/linear.json
new file mode 100644
index 0000000000..6cbb84e9cb
--- /dev/null
+++ b/testing/web-platform/tests/webnn/resources/test_data/linear.json
@@ -0,0 +1,818 @@
+{ // linear: Calculate a linear function y = alpha * x + beta on the input tensor.
+  "tests": [
+    {
+      "name": "linear float32 1D constant tensor default options", // default options: {alpha: 1, beta: 0}
+      "inputs": {
+        "x": {
+          "shape": [24],
+          "data": [
+            -1.1225161816883542,
+            -6.605223195131225,
+            -1.9555539248683687,
+            -4.598548331438281,
+            4.234208072658522,
+            3.097542121236385,
+            3.7465923873418348,
+            -4.487029772637743,
+            6.407402114982858,
+            -4.354544013606705,
+            -5.8190925441357955,
+            3.7214346452179328,
+            -6.330114110872294,
+            8.580595073862398,
+            -6.764922344398516,
+            6.433565829855674,
+            -9.708685944356201,
+            2.6431380232113746,
+            5.214088864824586,
+            9.658617012096975,
+            -8.72174939837989,
+            -0.4533396492565025,
+            9.992619953447026,
+            -6.469674921617137
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "shape": [24],
+        "data": [
+          -1.12251615524292,
+          -6.605223178863525,
+          -1.9555538892745972,
+          -4.598548412322998,
+          4.234208106994629,
+          3.0975420475006104,
+          3.7465922832489014,
+          -4.487029552459717,
+          6.407402038574219,
+          -4.354544162750244,
+          -5.819092750549316,
+          3.7214345932006836,
+          -6.330113887786865,
+          8.580595016479492,
+          -6.764922142028809,
+          6.433565616607666,
+          -9.708685874938965,
+          2.6431379318237305,
+          5.2140889167785645,
+          9.65861701965332,
+          -8.721749305725098,
+          -0.4533396363258362,
+          9.992619514465332,
+          -6.469675064086914
+        ],
+        "type": "float32"
+      }
+    },
+    {
+      "name": "linear float32 1D tensor default options", // default options: {alpha: 1, beta: 0}
+      "inputs": {
+        "x": {
+          "shape": [24],
+          "data": [
+            -1.1225161816883542,
+            -6.605223195131225,
+            -1.9555539248683687,
+            -4.598548331438281,
+            4.234208072658522,
+            3.097542121236385,
+            3.7465923873418348,
+            -4.487029772637743,
+            6.407402114982858,
+            -4.354544013606705,
+            -5.8190925441357955,
+            3.7214346452179328,
+            -6.330114110872294,
+            8.580595073862398,
+            -6.764922344398516,
+            6.433565829855674,
+            -9.708685944356201,
+            2.6431380232113746,
+            5.214088864824586,
+            9.658617012096975,
+            -8.72174939837989,
+            -0.4533396492565025,
+            9.992619953447026,
+            -6.469674921617137
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "shape": [24],
+        "data": [
+          -1.12251615524292,
+          -6.605223178863525,
+          -1.9555538892745972,
+          -4.598548412322998,
+          4.234208106994629,
+          3.0975420475006104,
+          3.7465922832489014,
+          -4.487029552459717,
+          6.407402038574219,
+          -4.354544162750244,
+          -5.819092750549316,
+          3.7214345932006836,
+          -6.330113887786865,
+          8.580595016479492,
+          -6.764922142028809,
+          6.433565616607666,
+          -9.708685874938965,
+          2.6431379318237305,
+          5.2140889167785645,
+          9.65861701965332,
+          -8.721749305725098,
+          -0.4533396363258362,
+          9.992619514465332,
+          -6.469675064086914
+        ],
+        "type": "float32"
+      }
+    },
+    {
+      "name": "linear float32 2D tensor default options",
+      "inputs": {
+        "x": {
+          "shape": [4, 6],
+          "data": [
+            -1.1225161816883542,
+            -6.605223195131225,
+            -1.9555539248683687,
+            -4.598548331438281,
+            4.234208072658522,
+            3.097542121236385,
+            3.7465923873418348,
+            -4.487029772637743,
+            6.407402114982858,
+            -4.354544013606705,
+            -5.8190925441357955,
+            3.7214346452179328,
+            -6.330114110872294,
+            8.580595073862398,
+            -6.764922344398516,
+            6.433565829855674,
+            -9.708685944356201,
+            2.6431380232113746,
+            5.214088864824586,
+            9.658617012096975,
+            -8.72174939837989,
+            -0.4533396492565025,
+            9.992619953447026,
+            -6.469674921617137
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "shape": [4, 6],
+        "data": [
+          -1.12251615524292,
+          -6.605223178863525,
+          -1.9555538892745972,
+          -4.598548412322998,
+          4.234208106994629,
+          3.0975420475006104,
+          3.7465922832489014,
+          -4.487029552459717,
+          6.407402038574219,
+          -4.354544162750244,
+          -5.819092750549316,
+          3.7214345932006836,
+          -6.330113887786865,
+          8.580595016479492,
+          -6.764922142028809,
+          6.433565616607666,
+          -9.708685874938965,
+          2.6431379318237305,
+          5.2140889167785645,
+          9.65861701965332,
+          -8.721749305725098,
+          -0.4533396363258362,
+          9.992619514465332,
+          -6.469675064086914
+        ],
+        "type": "float32"
+      }
+    },
+    {
+      "name": "linear float32 3D tensor default options",
+      "inputs": {
+        "x": {
+          "shape": [2, 3, 4],
+          "data": [
+            -1.1225161816883542,
+            -6.605223195131225,
+            -1.9555539248683687,
+            -4.598548331438281,
+            4.234208072658522,
+            3.097542121236385,
+            3.7465923873418348,
+            -4.487029772637743,
+            6.407402114982858,
+            -4.354544013606705,
+            -5.8190925441357955,
+            3.7214346452179328,
+            -6.330114110872294,
+            8.580595073862398,
+            -6.764922344398516,
+            6.433565829855674,
+            -9.708685944356201,
+            2.6431380232113746,
+            5.214088864824586,
+            9.658617012096975,
+            -8.72174939837989,
+            -0.4533396492565025,
+            9.992619953447026,
+            -6.469674921617137
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "shape": [2, 3, 4],
+        "data": [
+          -1.12251615524292,
+          -6.605223178863525,
+          -1.9555538892745972,
+          -4.598548412322998,
+          4.234208106994629,
+          3.0975420475006104,
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+          -0.4533396363258362,
+          9.992619514465332,
+          -6.469675064086914
+        ],
+        "type": "float32"
+      }
+    },
+    {
+      "name": "linear float32 4D tensor default options",
+      "inputs": {
+        "x": {
+          "shape": [2, 2, 2, 3],
+          "data": [
+            -1.1225161816883542,
+            -6.605223195131225,
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+            -0.4533396492565025,
+            9.992619953447026,
+            -6.469674921617137
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "shape": [2, 2, 2, 3],
+        "data": [
+          -1.12251615524292,
+          -6.605223178863525,
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+          -6.469675064086914
+        ],
+        "type": "float32"
+      }
+    },
+    {
+      "name": "linear float32 5D tensor default options",
+      "inputs": {
+        "x": {
+          "shape": [2, 1, 4, 1, 3],
+          "data": [
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+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "shape": [2, 1, 4, 1, 3],
+        "data": [
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+        "type": "float32"
+      }
+    },
+    {
+      "name": "linear float32 4D tensor specified options.alpha and default options.beta",
+      "inputs": {
+        "x": {
+         "shape": [2, 2, 2, 3],
+          "data": [
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+          "type": "float32"
+        }
+      },
+      "options": {
+        "alpha": 7.398793812746618
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+      "expected": {
+        "name": "output",
+        "shape": [2, 2, 2, 3],
+        "data": [
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+        "type": "float32"
+      }
+    },
+    {
+      "name": "linear float32 positive 4D tensor specified positive options.beta and default options.alpha",
+      "inputs": {
+        "x": {
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+          "type": "float32"
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+      },
+      "options": {
+        "beta": 5.919095653700928
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+      "expected": {
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+        "shape": [2, 2, 2, 3],
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+        "type": "float32"
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+    },
+    {
+      "name": "linear float32 negative 4D tensor specified negative options.beta and default options.alpha",
+      "inputs": {
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+          "type": "float32"
+        }
+      },
+      "options": {
+        "beta": -5.919095653700928
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+      "expected": {
+        "name": "output",
+        "shape": [2, 2, 2, 3],
+        "data": [
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+        "type": "float32"
+      }
+    },
+    {
+      "name": "linear float32 positive 4D tensor all options (positive options.alpha and positive options.beta)",
+      "inputs": {
+        "x": {
+         "shape": [2, 2, 2, 3],
+          "data": [
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\ No newline at end of file
-- 
cgit v1.2.3