Merging upstream version 125.0.1.

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>

1 files changed, 116 insertions, 0 deletions

diff --git a/testing/web-platform/meta/webnn/validation_tests/gru.https.any.js.ini b/testing/web-platform/meta/webnn/validation_tests/gru.https.any.js.ini
new file mode 100644
index 0000000000..9afda619f4
--- /dev/null
+++ b/testing/web-platform/meta/webnn/validation_tests/gru.https.any.js.ini
@@ -0,0 +1,116 @@
+[gru.https.any.html]
+  [[gru\] Test with default options]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if hiddenSize equals to zero]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the data type of the inputs is not one of the floating point types]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the rank of options.initialHiddenState is not 3]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the size of options.activations is not 2]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if options.initialHiddenState.dimensions[2\] is not inputSize]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if hiddenSize is too large]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the rank of recurrentWeight is not 3]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the rank of options.bias is not 2]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the rank of input is not 3]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if input.dimensions[0\] is not equal to steps]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if options.recurrentBias.dimensions[1\] is not 3 * hiddenSize]
+    expected: FAIL
+
+  [[gru\] Test with given options]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if weight.dimensions[1\] is not 3 * hiddenSize]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the recurrentWeight.dimensions is invalid]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if options.bias.dimensions[1\] is not 3 * hiddenSize]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the dataType of options.initialHiddenState is incorrect]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if steps equals to zero]
+    expected: FAIL
+
+  [assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")]
+    expected: FAIL
+
+
+[gru.https.any.worker.html]
+  [[gru\] Test with default options]
+    expected: FAIL
+
+  [[gru\] Test with given options]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if steps equals to zero]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if hiddenSize equals to zero]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if hiddenSize is too large]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the data type of the inputs is not one of the floating point types]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the rank of input is not 3]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if input.dimensions[0\] is not equal to steps]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if weight.dimensions[1\] is not 3 * hiddenSize]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the rank of recurrentWeight is not 3]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the recurrentWeight.dimensions is invalid]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the size of options.activations is not 2]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the rank of options.bias is not 2]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if options.bias.dimensions[1\] is not 3 * hiddenSize]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if options.recurrentBias.dimensions[1\] is not 3 * hiddenSize]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the rank of options.initialHiddenState is not 3]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if options.initialHiddenState.dimensions[2\] is not inputSize]
+    expected: FAIL
+
+  [[gru\] TypeError is expected if the dataType of options.initialHiddenState is incorrect]
+    expected: FAIL
+
+  [assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator")]
+    expected: FAIL