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-rw-r--r--testing/web-platform/tests/webnn/resources/utils.js140
1 files changed, 119 insertions, 21 deletions
diff --git a/testing/web-platform/tests/webnn/resources/utils.js b/testing/web-platform/tests/webnn/resources/utils.js
index d1dc0675a7..e5b80ae9f7 100644
--- a/testing/web-platform/tests/webnn/resources/utils.js
+++ b/testing/web-platform/tests/webnn/resources/utils.js
@@ -13,6 +13,15 @@ const TypedArrayDict = {
int64: BigInt64Array,
};
+const kContextOptionsForVariant = {
+ cpu: {
+ deviceType: 'cpu',
+ },
+ gpu: {
+ deviceType: 'gpu',
+ }
+};
+
// The maximum index to validate for the output's expected value.
const kMaximumIndexToValidate = 1000;
@@ -867,17 +876,15 @@ const run = async (operationName, context, builder, resources, buildFunc) => {
checkResults(operationName, namedOutputOperands, result.outputs, resources);
};
+const variant = location.search.substring(1);
+const contextOptions = kContextOptionsForVariant[variant];
+
/**
* Run WebNN operation tests.
* @param {(String[]|String)} operationName - An operation name array or an operation name
* @param {Function} buildFunc - A build function for an operation
- * @param {String} deviceType - The execution device type for this test
*/
-const testWebNNOperation = (operationName, buildFunc, deviceType = 'cpu') => {
- test(() => assert_not_equals(navigator.ml, undefined, "ml property is defined on navigator"));
- if (navigator.ml === undefined) {
- return;
- }
+const testWebNNOperation = (operationName, buildFunc) => {
let operationNameArray;
if (typeof operationName === 'string') {
operationNameArray = [operationName];
@@ -890,7 +897,14 @@ const testWebNNOperation = (operationName, buildFunc, deviceType = 'cpu') => {
operationNameArray.forEach((subOperationName) => {
const tests = loadTests(subOperationName);
promise_setup(async () => {
- context = await navigator.ml.createContext({deviceType});
+ let supported = false;
+ try {
+ context = await navigator.ml.createContext(contextOptions);
+ supported = true;
+ } catch (e) {
+ }
+ assert_implements(
+ supported, `Unable to create context for ${variant} variant`);
builder = new MLGraphBuilder(context);
});
for (const subTest of tests) {
@@ -901,6 +915,65 @@ const testWebNNOperation = (operationName, buildFunc, deviceType = 'cpu') => {
});
};
+/**
+ * WebNN parallel compute operation test.
+ */
+const testParallelCompute = () => {
+ let ml_context;
+ let ml_graph;
+
+ promise_setup(async () => {
+ let supported = false;
+ try {
+ ml_context = await navigator.ml.createContext(contextOptions);
+ supported = true;
+ } catch (e) {
+ }
+ assert_implements(
+ supported, `Unable to create context for ${variant} variant`);
+ // Construct a simple graph: A = B * 2.
+ const builder = new MLGraphBuilder(ml_context);
+ const operandType = {dataType: 'float32', dimensions: [1]};
+ const input_operand = builder.input('input', operandType);
+ const const_operand = builder.constant(operandType, Float32Array.from([2]));
+ const output_operand = builder.mul(input_operand, const_operand);
+ ml_graph = await builder.build({'output': output_operand});
+ });
+
+ promise_test(async () => {
+ const test_inputs = [1, 2, 3, 4];
+
+ const actual_outputs = await Promise.all(test_inputs.map(async (input) => {
+ let inputs = {'input': Float32Array.from([input])};
+ let outputs = {'output': new Float32Array(1)};
+ ({inputs, outputs} = await ml_context.compute(ml_graph, inputs, outputs));
+ return outputs.output[0];
+ }));
+
+ const expected_outputs = [2, 4, 6, 8];
+ assert_array_equals(actual_outputs, expected_outputs);
+ });
+};
+
+/**
+ * Run WebNN conformance tests by specified operation.
+ * @param {(String[]|String)} operationName - An operation name array or an
+ * operation name
+ * @param {Function} buildFunc - A build function for an operation
+ */
+const runWebNNConformanceTests = (operationName, buildFunc) => {
+ // Link to https://github.com/web-platform-tests/wpt/pull/44883
+ // Check navigator.ml is defined before trying to run WebNN tests
+ if (navigator.ml) {
+ testWebNNOperation(operationName, buildFunc);
+ } else {
+ // Show indication to users why the test failed
+ test(
+ () => assert_not_equals(
+ navigator.ml, undefined, 'ml property is defined on navigator'));
+ }
+};
+
// ref: http://stackoverflow.com/questions/32633585/how-do-you-convert-to-half-floats-in-javascript
const toHalf = (value) => {
let floatView = new Float32Array(1);
@@ -970,13 +1043,19 @@ const createBuffer = (context, bufferSize) => {
/**
* WebNN destroy buffer twice test.
* @param {String} testName - The name of the test operation.
- * @param {String} deviceType - The execution device type for this test.
*/
-const testDestroyWebNNBuffer = (testName, deviceType = 'cpu') => {
+const testDestroyWebNNBuffer = (testName) => {
let context;
let buffer;
promise_setup(async () => {
- context = await navigator.ml.createContext({deviceType});
+ let supported = false;
+ try {
+ context = await navigator.ml.createContext(contextOptions);
+ supported = true;
+ } catch (e) {
+ }
+ assert_implements(
+ supported, `Unable to create context for ${variant} variant`);
buffer = createBuffer(context, 4);
});
promise_test(async () => {
@@ -993,12 +1072,19 @@ const testDestroyWebNNBuffer = (testName, deviceType = 'cpu') => {
* WebNN create buffer test.
* @param {String} testName - The name of the test operation.
* @param {Number} bufferSize - Size of the buffer to create, in bytes.
- * @param {String} deviceType - The execution device type for this test.
*/
-const testCreateWebNNBuffer = (testName, bufferSize, deviceType = 'cpu') => {
+const testCreateWebNNBuffer = (testName, bufferSize) => {
let context;
+
promise_setup(async () => {
- context = await navigator.ml.createContext({deviceType});
+ let supported = false;
+ try {
+ context = await navigator.ml.createContext(contextOptions);
+ supported = true;
+ } catch (e) {
+ }
+ assert_implements(
+ supported, `Unable to create context for ${variant} variant`);
});
promise_test(async () => {
createBuffer(context, bufferSize);
@@ -1021,12 +1107,18 @@ const assert_buffer_data_equals = async (ml_context, ml_buffer, expected) => {
/**
* WebNN write buffer operation test.
* @param {String} testName - The name of the test operation.
- * @param {String} deviceType - The execution device type for this test.
*/
-const testWriteWebNNBuffer = (testName, deviceType = 'cpu') => {
+const testWriteWebNNBuffer = (testName) => {
let ml_context;
promise_setup(async () => {
- ml_context = await navigator.ml.createContext({deviceType});
+ let supported = false;
+ try {
+ ml_context = await navigator.ml.createContext(contextOptions);
+ supported = true;
+ } catch (e) {
+ }
+ assert_implements(
+ supported, `Unable to create context for ${variant} variant`);
});
promise_test(async () => {
@@ -1117,7 +1209,7 @@ const testWriteWebNNBuffer = (testName, deviceType = 'cpu') => {
return;
}
- let another_ml_context = await navigator.ml.createContext({deviceType});
+ let another_ml_context = await navigator.ml.createContext(contextOptions);
let another_ml_buffer = createBuffer(another_ml_context, ml_buffer.size);
let input_data = new Uint8Array(ml_buffer.size).fill(0xAA);
@@ -1131,12 +1223,18 @@ const testWriteWebNNBuffer = (testName, deviceType = 'cpu') => {
/**
* WebNN read buffer operation test.
* @param {String} testName - The name of the test operation.
- * @param {String} deviceType - The execution device type for this test.
*/
-const testReadWebNNBuffer = (testName, deviceType = 'cpu') => {
+const testReadWebNNBuffer = (testName) => {
let ml_context;
promise_setup(async () => {
- ml_context = await navigator.ml.createContext({deviceType});
+ let supported = false;
+ try {
+ ml_context = await navigator.ml.createContext(contextOptions);
+ supported = true;
+ } catch (e) {
+ }
+ assert_implements(
+ supported, `Unable to create context for ${variant} variant`);
});
promise_test(async t => {
@@ -1277,7 +1375,7 @@ const testReadWebNNBuffer = (testName, deviceType = 'cpu') => {
return;
}
- let another_ml_context = await navigator.ml.createContext({deviceType});
+ let another_ml_context = await navigator.ml.createContext(contextOptions);
let another_ml_buffer = createBuffer(another_ml_context, ml_buffer.size);
await promise_rejects_js(
generated by cgit v1.2.3 (git 2.39.1) at 2025-01-05 04:18:59 +0000