webnn/validation_tests/elementwise-binary.https.any.js

// META: title=validation tests for WebNN API element-wise binary operations
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils_validation.js

'use strict';

const kElementwiseBinaryOperators = [
  'add',
  'sub',
  'mul',
  'div',
  'max',
  'min',
  'pow',
];

const label = 'elementwise_binary_op';
const regrexp = new RegExp('\\[' + label + '\\]');
const tests = [
  {
    name: '[binary] Test bidirectionally broadcastable dimensions.',
    //  Both inputs have axes of length one which are expanded
    //  during broadcasting.
    a: {dataType: 'float32', shape: [8, 1, 6, 1]},
    b: {dataType: 'float32', shape: [7, 1, 5]},
    output: {dataType: 'float32', shape: [8, 7, 6, 5]}
  },
  {
    name: '[binary] Test unidirectionally broadcastable dimensions.',
    // Input a has a single axis of length one which is
    // expanded during broadcasting.
    a: {dataType: 'float32', shape: [4, 2, 1]},
    b: {dataType: 'float32', shape: [4]},
    output: {dataType: 'float32', shape: [4, 2, 4]}
  },
  {
    name: '[binary] Test scalar broadcasting.',
    a: {dataType: 'float32', shape: [4, 2, 4]},
    b: {dataType: 'float32', shape: []},
    output: {dataType: 'float32', shape: [4, 2, 4]}
  },
  {
    name: '[binary] Throw if the input shapes are not broadcastable.',
    a: {dataType: 'float32', shape: [4, 2]},
    b: {dataType: 'float32', shape: [4]},
  },
  {
    name: '[binary] Throw if the input types don\'t match.',
    a: {dataType: 'float32', shape: [4, 2]},
    b: {dataType: 'int32', shape: [1]},
  },
];

function runElementWiseBinaryTests(operatorName, tests) {
  tests.forEach(test => {
    promise_test(async t => {
      const builder = new MLGraphBuilder(context);
      if (!context.opSupportLimits().input.dataTypes.includes(
              test.a.dataType)) {
        assert_throws_js(TypeError, () => builder.input('a', test.a));
        return;
      }
      if (!context.opSupportLimits().input.dataTypes.includes(
              test.b.dataType)) {
        assert_throws_js(TypeError, () => builder.input('b', test.b));
        return;
      }
      const a = builder.input('a', test.a);
      const b = builder.input('b', test.b);

      if (test.output) {
        const output = builder[operatorName](a, b);
        assert_equals(output.dataType, test.output.dataType);
        assert_array_equals(output.shape, test.output.shape);
      } else {
        const options = {label};
        assert_throws_with_label(
            () => builder[operatorName](a, b, options), regrexp);
      }
    }, test.name.replace('[binary]', `[${operatorName}]`));
  });
}

kElementwiseBinaryOperators.forEach((operatorName) => {
  validateTwoInputsOfSameDataType(operatorName, label);
  validateTwoInputsBroadcastable(operatorName, label);
  validateTwoInputsFromMultipleBuilders(operatorName);
  validateTwoBroadcastableInputsTensorLimit(operatorName, label);
  runElementWiseBinaryTests(operatorName, tests);
});