triangular.https.any.js

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// META: title=validation tests for WebNN API triangular operation

// META: global=window,dedicatedworker

// META: variant=?cpu

// META: variant=?gpu

// META: variant=?npu

// META: script=../resources/utils_validation.js

'use strict';

promise_test(async t => {

  const builder = new MLGraphBuilder(context);

  // The input tensor which is at least 2-D.

  for (let shape of allWebNNShapesArray.slice(0, 2)) {

    for (let dataType of allWebNNOperandDataTypes) {

      if (!context.opSupportLimits().input.dataTypes.includes(dataType)) {

        continue;

      const input = builder.input(`input${++inputIndex}`, {dataType, shape});

      const label = 'triangular_3';

      const options = {label};

      const regrexp = new RegExp('\\[' + label + '\\]');

      assert_throws_with_label(

          () => builder.triangular(input, options), regrexp);

}, '[triangular] TypeError is expected if input\'s rank is less than 2');

validateInputFromAnotherBuilder('triangular');