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Diffstat (limited to 'testing/web-platform/tests/webnn/validation_tests/resample2d.https.any.js')
-rw-r--r-- | testing/web-platform/tests/webnn/validation_tests/resample2d.https.any.js | 154 |
1 files changed, 152 insertions, 2 deletions
diff --git a/testing/web-platform/tests/webnn/validation_tests/resample2d.https.any.js b/testing/web-platform/tests/webnn/validation_tests/resample2d.https.any.js index 2e00cf297c..de44c6a333 100644 --- a/testing/web-platform/tests/webnn/validation_tests/resample2d.https.any.js +++ b/testing/web-platform/tests/webnn/validation_tests/resample2d.https.any.js @@ -1,8 +1,158 @@ // META: title=validation tests for WebNN API resample2d operation // META: global=window,dedicatedworker // META: script=../resources/utils_validation.js -// META: timeout=long 'use strict'; -validateOptionsAxes('resample2d', 4); +// Tests for resample2d(input, options) +const tests = [ + { + name: '[resample2d] Test building resample2d with default options', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + output: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + }, + { + name: '[resample2d] Test building resample2d with scales=[2.0, 2.0]', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {scales: [2.0, 2.0]}, + output: {dataType: 'float32', dimensions: [1, 1, 4, 8]}, + }, + { + name: '[resample2d] Test building resample2d with scales=[0.5, 0.5]', + input: {dataType: 'float32', dimensions: [1, 1, 5, 5]}, + options: {scales: [0.5, 0.5]}, + output: {dataType: 'float32', dimensions: [1, 1, 2, 2]}, + }, + { + name: + '[resample2d] Test building resample2d with scales=[0.5, 0.5] and explicit axes=[2, 3]', + input: {dataType: 'float32', dimensions: [1, 1, 5, 5]}, + options: {scales: [0.5, 0.5], axes: [2, 3]}, + output: {dataType: 'float32', dimensions: [1, 1, 2, 2]}, + }, + { + name: + '[resample2d] Test building resample2d with scales=[1.0, 2.0] and axes=[0, 1]', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {scales: [1.0, 2.0], axes: [0, 1]}, + output: {dataType: 'float32', dimensions: [1, 2, 2, 4]}, + }, + { + name: + '[resample2d] Test building resample2d with scales=[2.0, 2.0] and axes=[1, 2]', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {scales: [2.0, 2.0], axes: [1, 2]}, + output: {dataType: 'float32', dimensions: [1, 2, 4, 4]}, + }, + { + name: + '[resample2d] Test building resample2d with sizes=[3, 6] ignored scales', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {scales: [2.0, 2.0], sizes: [3, 6]}, + output: {dataType: 'float32', dimensions: [1, 1, 3, 6]}, + }, + { + name: '[resample2d] Throw if the rank of input is not 4', + input: {dataType: 'float32', dimensions: [2, 4]}, + }, + { + name: '[resample2d] Throw if the length of scales is not 2', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {scales: [1.0, 1.0, 2.0, 2.0]}, + }, + { + name: '[resample2d] Throw if any scale value is negative', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {scales: [1.0, -2.0]}, + }, + { + name: '[resample2d] Throw if any scale value is 0', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {scales: [0, 2.0]}, + }, + { + name: '[resample2d] Throw if the length of sizes is not 2', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {sizes: [1, 1, 4, 6]}, + }, + { + name: + '[resample2d] Throw if any size value is out of \'unsigned long\' value range', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {sizes: [kMaxUnsignedLong + 1, kMaxUnsignedLong + 1]}, + }, + { + name: + '[resample2d] Throw if outputHeight being floor(scaleHeight*inputHeight) is too large', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + // The maximum dimension size is kMaxUnsignedLong (2 ** 32 - 1). + // Here scaleHeight=kMaxUnsignedLong and inputHeight=2, + // so outputHeight being kMaxUnsignedLong*2 > kMaxUnsignedLong . + options: {scales: /*[scaleHeight, scaleWidth]*/[kMaxUnsignedLong, 1]}, + }, + { + name: '[resample2d] Throw if scaleHeight is too small', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + // Here scaleHeight=0.02 and inputHeight=2, + // so outputHeight would be 0. + // Link to https://github.com/webmachinelearning/webnn/issues/391. + options: {scales: /*[scaleHeight, scaleWidth]*/[0.02, 0.8]}, + }, + { + name: + '[resample2d] Throw if outputWidth being floor(scaleWidth*inputWidth) is too large', + input: {dataType: 'float32', dimensions: [1, 1, 4, 2]}, + // The maximum dimension size is kMaxUnsignedLong (2 ** 32 - 1). + // Here scaleWidth=kMaxUnsignedLong and inputWidth=2, + // so outputWidth being kMaxUnsignedLong*2 > kMaxUnsignedLong . + options: {scales: /*[scaleHeight, scaleWidth]*/[1, kMaxUnsignedLong]}, + }, + { + name: '[resample2d] Throw if scaleWidth is too small', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + // Here scaleWidth=0.1 and inputWidth=4, + // so outputWidth would be 0. + // Link to https://github.com/webmachinelearning/webnn/issues/391. + options: {scales: /*[scaleHeight, scaleWidth]*/[0.7, 0.1]}, + }, + { + name: '[resample2d] Throw if the length of axes is not 2', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {axes: [0, 1, 2]}, + }, + { + name: + '[resample2d] Throw if any axis value is greater than or equal to the input rank', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {axes: [3, 4]}, + }, + { + // The valid values in the axes sequence are [0, 1], [1, 2] or [2, 3] + name: '[resample2d] Throw if the values of axes are inconsecutive', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {axes: [0, 2]}, + }, + { + name: '[resample2d] Throw if the values of axes are same', + input: {dataType: 'float32', dimensions: [1, 1, 2, 4]}, + options: {axes: [0, 0]}, + }, +]; + +tests.forEach( + test => promise_test(async t => { + const input = builder.input( + 'input', + {dataType: test.input.dataType, dimensions: test.input.dimensions}); + const options = test.options ?? {}; + if (test.output) { + const output = builder.resample2d(input, options); + assert_equals(output.dataType(), test.output.dataType); + assert_array_equals(output.shape(), test.output.dimensions); + } else { + assert_throws_js(TypeError, () => builder.resample2d(input, options)); + } + }, test.name)); + +validateInputFromAnotherBuilder( + 'resample2d', {dataType: 'float32', dimensions: [2, 2, 2, 2]}); |