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>
---
 .../webnn/resources/test_data/reduce_log_sum.json  | 663 +++++++++++++++++++++
 1 file changed, 663 insertions(+)
 create mode 100644 testing/web-platform/tests/webnn/resources/test_data/reduce_log_sum.json

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

diff --git a/testing/web-platform/tests/webnn/resources/test_data/reduce_log_sum.json b/testing/web-platform/tests/webnn/resources/test_data/reduce_log_sum.json
new file mode 100644
index 0000000000..250398d227
--- /dev/null
+++ b/testing/web-platform/tests/webnn/resources/test_data/reduce_log_sum.json
@@ -0,0 +1,663 @@
+{
+  "tests": [
+    {
+      "name": "reduceLogSum float32 1D constant tensor all non-negative default options", // default options: {axes: null, keepDimensions: false}
+      "inputs": {
+        "input": {
+          "shape": [24],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32",
+          "constant": true
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 7.039101600646973,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 1D tensor all non-negative default options", // default options: {axes: null, keepDimensions: false}
+      "inputs": {
+        "input": {
+          "shape": [24],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 7.039101600646973,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 1D tensor all non-negative integers default options", // test with float32 values which are equivalent to integers
+      "inputs": {
+        "input": {
+          "shape": [24],
+          "data": [
+            63,
+            82,
+            49,
+            23,
+            98,
+            67,
+            15,
+            9,
+            89,
+            7,
+            69,
+            61,
+            47,
+            50,
+            41,
+            39,
+            58,
+            52,
+            35,
+            83,
+            81,
+            7,
+            34,
+            9
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 7.063048362731934,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 2D tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [4, 6],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 7.039101600646973,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 3D tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [2, 3, 4],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 7.039101600646973,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 4D tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [2, 2, 2, 3],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 7.039101600646973,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 5D tensor default options",
+      "inputs": {
+        "input": {
+          "shape": [2, 1, 4, 1, 3],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "expected": {
+        "name": "output",
+        "data": 7.039101600646973,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 3D tensor options.axes",
+      "inputs": {
+        "input": {
+          "shape": [2, 3, 4],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "options": {
+        "axes": [2]
+      },
+      "expected": {
+        "name": "output",
+        "shape": [2, 3],
+        "data": [
+          5.593751907348633,
+          4.773046016693115,
+          5.3115739822387695,
+          5.2497639656066895,
+          4.973392486572266,
+          5.373587131500244
+        ],
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 4D tensor options.axes",
+      "inputs": {
+        "input": {
+          "shape": [2, 2, 2, 3],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "options": {
+        "axes": [0, 2]
+      },
+      "expected": {
+        "name": "output",
+        "shape": [2, 3],
+        "data": [
+          5.410027980804443,
+          5.367736339569092,
+          5.399682998657227,
+          4.652334213256836,
+          4.744638442993164,
+          5.565346717834473
+        ],
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 3D tensor options.keepDimensions=false",
+      "inputs": {
+        "input": {
+          "shape": [2, 3, 4],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "options": {
+        "keepDimensions": false
+      },
+      "expected": {
+        "name": "output",
+        "data": 7.039101600646973,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 3D tensor options.keepDimensions=true",
+      "inputs": {
+        "input": {
+          "shape": [2, 3, 4],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "options": {
+        "keepDimensions": true
+      },
+      "expected": {
+        "name": "output",
+        "shape": [1, 1, 1],
+        "data": [
+          7.039101600646973
+        ],
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 4D tensor options.keepDimensions=false",
+      "inputs": {
+        "input": {
+          "shape": [2, 2, 2, 3],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "options": {
+        "keepDimensions": false
+      },
+      "expected": {
+        "name": "output",
+        "data": 7.039101600646973,
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 4D tensor options.keepDimensions=true",
+      "inputs": {
+        "input": {
+          "shape": [2, 2, 2, 3],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "options": {
+        "keepDimensions": true
+      },
+      "expected": {
+        "name": "output",
+        "shape": [1, 1, 1, 1],
+        "data": [
+          7.039101600646973
+        ],
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 4D tensor options.axes with options.keepDimensions=false",
+      "inputs": {
+        "input": {
+          "shape": [2, 2, 2, 3],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "options": {
+        "axes": [1, 3]
+      },
+      "expected": {
+        "name": "output",
+        "shape": [2, 2],
+        "data": [
+          5.7273993492126465,
+          5.64375114440918,
+          5.453810214996338,
+          5.758983135223389
+        ],
+        "type": "float32"
+      }
+    },
+    {
+      "name": "reduceLogSum float32 4D tensor options.axes with options.keepDimensions=true",
+      "inputs": {
+        "input": {
+          "shape": [2, 2, 2, 3],
+          "data": [
+            64.54826901463852,
+            97.87423374006126,
+            26.529027351852186,
+            79.79046651888517,
+            50.394988743199434,
+            14.578406888832252,
+            20.86681803845336,
+            32.43873432263156,
+            64.91234005889837,
+            71.54029915166349,
+            11.13706890220647,
+            55.07930697185586,
+            43.791352286892106,
+            13.831947671728972,
+            97.39019470916091,
+            35.50775651228035,
+            52.275862097336166,
+            82.838655037009,
+            8.568099335705881,
+            0.8337112078307563,
+            69.23145833259072,
+            3.8541642374881446,
+            70.55673656397397,
+            71.99264788951747
+          ],
+          "type": "float32"
+        }
+      },
+      "options": {
+        "axes": [1, 3]
+      },
+      "expected": {
+        "name": "output",
+        "shape": [1, 2, 2, 1],
+        "data": [
+          5.7273993492126465,
+          5.64375114440918,
+          5.453810214996338,
+          5.758983135223389
+        ],
+        "type": "float32"
+      }
+    }
+  ]
+}
\ No newline at end of file
-- 
cgit v1.2.3