chromium/third_party/blink/web_tests/platform/win11-arm64/virtual/webnn-service-on-cpu/external/wpt/webnn/conformance_tests/pooling.https.any_cpu-expected.txt

This is a testharness.js-based test.
[FAIL] averagePool2d float32 4D tensor options.padding
  assert_true: assert_array_approx_equals_ulp: test averagePool2d float32 actual 41.94932556152344 should be close enough to expected 52.43666076660156 by the acceptable 27 ULP distance, but they have 2749192 ULP distance expected true got false
[FAIL] averagePool2d float32 4D tensor options.dilations
  promise_test: Unhandled rejection with value: object "NotSupportedError: Failed to execute 'build' on 'MLGraphBuilder': Pool2d in tflite doesn't support dilations."
[FAIL] averagePool2d float32 4D tensor options.roundingType=floor
  assert_true: assert_array_approx_equals_ulp: test averagePool2d float32 actual 36.13502502441406 should be close enough to expected 54.20252990722656 by the acceptable 11 ULP distance, but they have 4736288 ULP distance expected true got false
[FAIL] averagePool2d float32 4D tensor options.roundingType=ceil
  promise_test: Unhandled rejection with value: object "UnknownError: Failed to execute 'compute' on 'MLContext': The output tensor size does not match graph's expectation: averagePool2dOutput"
[FAIL] averagePool2d float32 4D tensor options.layout=nhwc and options.roundingType=floor
  assert_true: assert_array_approx_equals_ulp: test averagePool2d float32 actual 36.13502502441406 should be close enough to expected 54.20252990722656 by the acceptable 11 ULP distance, but they have 4736288 ULP distance expected true got false
[FAIL] averagePool2d float32 4D tensor options.layout=nhwc and options.roundingType=ceil
  promise_test: Unhandled rejection with value: object "UnknownError: Failed to execute 'compute' on 'MLContext': The output tensor size does not match graph's expectation: averagePool2dOutput"
[FAIL] averagePool2d float32 4D tensor options.outputSizes ignores options.roundingType=floor
  promise_test: Unhandled rejection with value: object "UnknownError: Failed to execute 'compute' on 'MLContext': The output tensor size does not match graph's expectation: averagePool2dOutput"
[FAIL] averagePool2d float32 4D tensor options.outputSizes ignores options.roundingType=ceil
  assert_true: assert_array_approx_equals_ulp: test averagePool2d float32 actual 36.13502502441406 should be close enough to expected 54.20252990722656 by the acceptable 11 ULP distance, but they have 4736288 ULP distance expected true got false
[FAIL] averagePool2d float32 4D tensor options.dilations with options.strides
  assert_true: assert_array_approx_equals_ulp: test averagePool2d float32 actual 28.626827239990234 should be close enough to expected 42.940242767333984 by the acceptable 11 ULP distance, but they have 4636433 ULP distance expected true got false
[FAIL] l2Pool2d float32 4D constant tensor all positive default options
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor default all positive options
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor default all negative options
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.windowDimensions
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.padding
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.strides
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.dilations
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.layout=nchw
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.layout=nhwc
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.roundingType=floor
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.roundingType=ceil
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.outputSizes ignores options.roundingType=floor
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.outputSizes ignores options.roundingType=ceil
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] l2Pool2d float32 4D tensor options.dilations with options.strides
  promise_test: Unhandled rejection with value: object "TypeError: Failed to execute 'l2Pool2d' on 'MLGraphBuilder': Unsupported data type float32 for argument input, must be one of []."
[FAIL] maxPool2d float32 4D tensor options.dilations
  promise_test: Unhandled rejection with value: object "NotSupportedError: Failed to execute 'build' on 'MLGraphBuilder': Pool2d in tflite doesn't support dilations."
[FAIL] maxPool2d float32 4D tensor options.roundingType=ceil
  promise_test: Unhandled rejection with value: object "UnknownError: Failed to execute 'compute' on 'MLContext': The output tensor size does not match graph's expectation: maxPool2dOutput"
[FAIL] maxPool2d float32 4D tensor options.outputSizes ignores options.roundingType=floor
  promise_test: Unhandled rejection with value: object "UnknownError: Failed to execute 'compute' on 'MLContext': The output tensor size does not match graph's expectation: maxPool2dOutput"
Harness: the test ran to completion.