reduce_min.https.any.js | Explore in Territory

// META: title=test WebNN API reduction operations
// META: global=window,dedicatedworker
// META: variant=?cpu
// META: variant=?gpu
// META: variant=?npu
// META: script=../resources/utils.js
// META: timeout=long

'use strict';

// https://www.w3.org/TR/webnn/#dom-mlgraphbuilder-reducemin
// Reduce the input tensor along all dimensions, or along the axes specified in
// the axes array parameter.
//
// dictionary MLReduceOptions {
//   sequence<[EnforceRange] unsigned long> axes;
//   boolean keepDimensions = false;
// };
//
// MLOperand reduceMin(MLOperand input, optional MLReduceOptions options = {});

const getReductionOperatorsPrecisionTolerance = (graphResources) => {
  return {
    metricType: 'ULP',
    value: 0,
  };
};

const reduceMinTests = [
  {
    'name': 'reduceMin float32 0D constant tensor default options',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [-58.76195526123047],
          'descriptor': {'dimensions': [], 'dataType': 'float32'},
          'constant': true
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [{'input': 'reduceMinInput'}],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': -58.76195526123047,
          'descriptor': {'dimensions': [], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 0D constant tensor empty axes',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [-58.76195526123047],
          'descriptor': {'dimensions': [], 'dataType': 'float32'},
          'constant': true
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [{'input': 'reduceMinInput'}, {'options': {'axes': []}}],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': -58.76195526123047,
          'descriptor': {'dimensions': [], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 1D constant tensor default options',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [24], 'dataType': 'float32'},
          'constant': true
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [{'input': 'reduceMinInput'}],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': -87.9623031616211,
          'descriptor': {'dimensions': [], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 1D tensor default options',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [24], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [{'input': 'reduceMinInput'}],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': -87.9623031616211,
          'descriptor': {'dimensions': [], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 2D tensor default options',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [4, 6], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [{'input': 'reduceMinInput'}],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': -87.9623031616211,
          'descriptor': {'dimensions': [], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 3D tensor default options',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 3, 4], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [{'input': 'reduceMinInput'}],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': -87.9623031616211,
          'descriptor': {'dimensions': [], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 4D tensor default options',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [{'input': 'reduceMinInput'}],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': -87.9623031616211,
          'descriptor': {'dimensions': [], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 5D tensor default options',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 1, 4, 1, 3], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [{'input': 'reduceMinInput'}],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': -87.9623031616211,
          'descriptor': {'dimensions': [], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 3D tensor options.axes',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 3, 4], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [{'input': 'reduceMinInput'}, {'options': {'axes': [2]}}],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': [
            -87.9623031616211, -39.50931167602539, -53.747413635253906,
            -31.713542938232422, -84.4076919555664, -55.97655487060547
          ],
          'descriptor': {'dimensions': [2, 3], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 4D tensor options.axes',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments':
            [{'input': 'reduceMinInput'}, {'options': {'axes': [0, 2]}}],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': [
            -58.76195526123047, -87.9623031616211, -70.13690185546875,
            -59.40851974487305, -84.4076919555664, -53.747413635253906
          ],
          'descriptor': {'dimensions': [2, 3], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 3D tensor options.keepDimensions=false',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 3, 4], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [
          {'input': 'reduceMinInput'}, {'options': {'keepDimensions': false}}
        ],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': -87.9623031616211,
          'descriptor': {'dimensions': [], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 3D tensor options.keepDimensions=true',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 3, 4], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [
          {'input': 'reduceMinInput'}, {'options': {'keepDimensions': true}}
        ],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': [-87.9623031616211],
          'descriptor': {'dimensions': [1, 1, 1], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 4D tensor options.keepDimensions=false',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [
          {'input': 'reduceMinInput'}, {'options': {'keepDimensions': false}}
        ],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': -87.9623031616211,
          'descriptor': {'dimensions': [], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name': 'reduceMin float32 4D tensor options.keepDimensions=true',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [
          {'input': 'reduceMinInput'}, {'options': {'keepDimensions': true}}
        ],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': [-87.9623031616211],
          'descriptor': {'dimensions': [1, 1, 1, 1], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name':
        'reduceMin float32 4D tensor options.axes with options.keepDimensions=false',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [
          {'input': 'reduceMinInput'},
          {'options': {'axes': [1, 3], 'keepDimensions': false}}
        ],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': [
            -87.9623031616211, -53.747413635253906, -84.4076919555664,
            -55.97655487060547
          ],
          'descriptor': {'dimensions': [2, 2], 'dataType': 'float32'}
        }
      }
    }
  },
  {
    'name':
        'reduceMin float32 4D tensor options.axes with options.keepDimensions=true',
    'graph': {
      'inputs': {
        'reduceMinInput': {
          'data': [
            -58.76195526123047,  -87.9623031616211,  -70.13690185546875,
            -53.61766815185547,  -39.50931167602539, 76.48815155029297,
            -18.705087661743164, 44.78261947631836,  30.70233917236328,
            61.46361541748047,   77.84043884277344,  -53.747413635253906,
            -31.713542938232422, -9.735438346862793, 77.9365234375,
            99.01705932617188,   73.39929962158203,  92.0845947265625,
            -59.40851974487305,  -84.4076919555664,  75.88834381103516,
            96.02651977539062,   -55.97655487060547, -1.7911018133163452
          ],
          'descriptor': {'dimensions': [2, 2, 2, 3], 'dataType': 'float32'}
        }
      },
      'operators': [{
        'name': 'reduceMin',
        'arguments': [
          {'input': 'reduceMinInput'},
          {'options': {'axes': [1, 3], 'keepDimensions': true}}
        ],
        'outputs': 'reduceMinOutput'
      }],
      'expectedOutputs': {
        'reduceMinOutput': {
          'data': [
            -87.9623031616211, -53.747413635253906, -84.4076919555664,
            -55.97655487060547
          ],
          'descriptor': {'dimensions': [2, 1, 2, 1], 'dataType': 'float32'}
        }
      }
    }
  }
];

if (navigator.ml) {
  reduceMinTests.forEach((test) => {
    webnn_conformance_test(
        buildGraphAndCompute, getReductionOperatorsPrecisionTolerance, test);
  });
} else {
  test(() => assert_implements(navigator.ml, 'missing navigator.ml'));
}
chromium/third_party/blink/web_tests/external/wpt/webnn/conformance_tests/reduce_min.https.any.js
