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Bug 1902166 [wpt PR 46725] - WebNN: Support axis for softmax operator, a=testonly
Automatic update from web-platform-tests WebNN: Support axis for softmax operator This CL adds axis parameter into the IDL and mojo definitions of softmax operator [1]. It also updates the backends implementation to support the new axis parameter. In addition, the corresponding tests have also been updated. [1] webmachinelearning/webnn#649 Bug: 338094927 Change-Id: Ib08ecbba61c27c94256953a952357eeda80241e6 Cq-Include-Trybots: luci.chromium.try​:win11-blink-rel,mac14.arm64-blink-rel,mac14-blink-rel Reviewed-on: https://chromium-review.googlesource.com/c/chromium/src/+/5495877 Reviewed-by: ningxin hu <ningxin.hu@intel.com> Commit-Queue: Bin Miao <bin.miao@intel.com> Reviewed-by: Austin Sullivan <asully@chromium.org> Cr-Commit-Position: refs/heads/main@{#1314418} -- wpt-commits: 06bcaad19c8cdb96751ff3d80698533e85044a1d wpt-pr: 46725
1 parent 1990a14 commit a08032a

4 files changed

Lines changed: 196 additions & 2 deletions

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‎testing/web-platform/tests/webnn/conformance_tests/softmax.https.any.js‎

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@@ -10,4 +10,4 @@
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// https://webmachinelearning.github.io/webnn/#api-mlgraphbuilder-softmax
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runWebNNConformanceTests('softmax', buildOperationWithSingleInput);
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runWebNNConformanceTests('softmax', buildSoftmax);

‎testing/web-platform/tests/webnn/resources/test_data/softmax.json‎

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@@ -198,6 +198,93 @@
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],
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"type": "float32"
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}
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},
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{
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"name": "softmax float32 3D constant tensor",
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"inputs": {
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"x": {
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"shape": [1, 3, 4],
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"data": [
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0.4301910996437073,
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0.5471914410591125,
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-1.1637765169143677,
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0.18390046060085297,
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0.583903968334198,
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0.17356790602207184,
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0.5397239923477173,
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-0.9535139799118042,
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-0.5920282602310181,
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-0.17344485223293304,
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0.14395014941692352,
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-0.37920907139778137
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],
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"type": "float32",
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"constant": true
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}
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},
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"axis": 1,
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"expected": {
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"name": "output",
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"shape": [1, 3, 4],
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"data": [
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0.39589041471481323,
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0.45983806252479553,
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0.09812675416469574,
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0.529077410697937,
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0.4616699814796448,
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0.31647709012031555,
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0.5390242338180542,
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0.16964708268642426,
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0.142439603805542,
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0.22368484735488892,
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0.36284899711608887,
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0.3012755215167999
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],
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"type": "float32"
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}
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},
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{
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"name": "softmax float32 4D tensor",
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"inputs": {
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"x": {
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"shape": [3, 4, 1, 1],
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"data": [
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0.4301910996437073,
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0.5471914410591125,
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-1.1637765169143677,
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0.18390046060085297,
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0.583903968334198,
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0.17356790602207184,
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0.5397239923477173,
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-0.9535139799118042,
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-0.5920282602310181,
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-0.17344485223293304,
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0.14395014941692352,
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-0.37920907139778137
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],
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"type": "float32"
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}
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},
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"axis": 1,
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"expected": {
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"name": "output",
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"shape": [3, 4, 1, 1],
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"data": [
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0.3216537833213806,
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0.3615773916244507,
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0.06533370912075043,
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0.25143513083457947,
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0.35271573066711426,
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0.23400123417377472,
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0.33747196197509766,
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0.07581108063459396,
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0.17110128700733185,
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0.26004093885421753,
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0.3571779429912567,
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0.2116798311471939
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],
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"type": "float32"
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}
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}
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]
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}

‎testing/web-platform/tests/webnn/resources/utils.js‎

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Original file line numberDiff line numberDiff line change
@@ -785,6 +785,20 @@ const buildSlice = (operationName, builder, resources) => {
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return namedOutputOperand;
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};
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const buildSoftmax = (operationName, builder, resources) => {
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// MLOperand softmax(MLOperand input, [EnforceRange] unsigned long axis);
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const namedOutputOperand = {};
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const inputOperand = createSingleInputOperand(builder, resources);
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if (resources.axis !== undefined) {
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// invoke builder.softmax(input, axis)
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namedOutputOperand[resources.expected.name] = builder[operationName](inputOperand, resources.axis);
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} else {
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// invoke builder.softmax(input)
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namedOutputOperand[resources.expected.name] = builder[operationName](inputOperand);
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}
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return namedOutputOperand;
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};
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const buildSplit = (operationName, builder, resources) => {
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// sequence<MLOperand> split(MLOperand input,
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// (unsigned long or sequence<unsigned long>) splits,

‎testing/web-platform/tests/webnn/validation_tests/softmax.https.any.js‎

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@@ -4,4 +4,97 @@
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'use strict';
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7-
validateInputFromAnotherBuilder('softmax');
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const tests_without_axis = [
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{
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name: '[softmax] Test building Softmax with float32 input without axis.',
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input: { dataType: 'float32', dimensions: [4, 3] },
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output: { dataType: 'float32', dimensions: [4, 3] }
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},
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{
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name: '[softmax] Test building Softmax with float16 input without axis.',
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input: { dataType: 'float16', dimensions: [3, 5] },
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output: { dataType: 'float16', dimensions: [3, 5] }
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},
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{
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name: '[softmax] Throw if the input is not a non-floating point data.',
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input: { dataType: 'int32', dimensions: [3, 2] }
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},
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{
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name: '[softmax] Throw if the input dimensions is not 2.',
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input: { dataType: 'float32', dimensions: [1, 4, 3] }
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}
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];
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tests_without_axis.forEach(test =>
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promise_test(async t => {
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let input = builder.input(
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`input`, { dataType: test.input.dataType, dimensions: test.input.dimensions }
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);
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if (test.output) {
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const output = builder.softmax(input);
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assert_equals(output.dataType(), test.output.dataType);
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assert_array_equals(output.shape(), test.output.dimensions);
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} else {
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assert_throws_js(TypeError, () => builder.softmax(input));
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}
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}, test.name)
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);
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multi_builder_test(async (t, builder, otherBuilder) => {
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const operandDescriptor = { dataType: 'float32', dimensions: [2, 3] };
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const inputFromOtherBuilder = otherBuilder.input('input', operandDescriptor);
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assert_throws_js(
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TypeError,
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() => builder.softmax(inputFromOtherBuilder));
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}, '[softmax without axis] throw if any input is from another builder');
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const tests = [
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{
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name: '[softmax] Test building Softmax with float32 input.',
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input: { dataType: 'float32', dimensions: [4, 4, 3] },
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axis: 1,
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output: { dataType: 'float32', dimensions: [4, 4, 3] }
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},
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{
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name: '[softmax] Test building Softmax with float16 input.',
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input: { dataType: 'float16', dimensions: [3, 1, 5, 2] },
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axis: 2,
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output: { dataType: 'float16', dimensions: [3, 1, 5, 2] }
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},
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{
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name: '[softmax] Throw if the input is not a non-floating-point data.',
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input: { dataType: 'int32', dimensions: [3, 1, 5, 2] },
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axis: 3
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},
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{
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name: '[softmax] Throw if the axis is greater than input rank - 1.',
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input: { dataType: 'float16', dimensions: [3, 1, 5, 2] },
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axis: 4
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}
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];
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tests.forEach(test =>
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promise_test(async t => {
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let input = builder.input(
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`input`, { dataType: test.input.dataType, dimensions: test.input.dimensions }
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);
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if (test.output) {
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const output = builder.softmax(input, test.axis);
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assert_equals(output.dataType(), test.output.dataType);
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assert_array_equals(output.shape(), test.output.dimensions);
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} else {
87+
assert_throws_js(TypeError, () => builder.softmax(input, test.axis));
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}
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}, test.name)
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);
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92+
multi_builder_test(async (t, builder, otherBuilder) => {
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const operandDescriptor = { dataType: 'float32', dimensions: [1, 2, 3] };
94+
const inputFromOtherBuilder = otherBuilder.input('input', operandDescriptor);
95+
const axis = 1;
96+
97+
assert_throws_js(
98+
TypeError,
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() => builder.softmax(inputFromOtherBuilder, axis));
100+
}, '[softmax] throw if any input is from another builder');

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