Wei Wang
82479fa066
Automatic update from web-platform-tests [WebNN] Add "webnn" permissions policy feature Implement the "webnn" policy-controlled feature as specified in the WebNN specification [1]. The default allowlist is 'self', which means the WebNN API is available to top-level documents and same-origin iframes by default, but blocked in cross-origin iframes unless explicitly granted via the Permissions-Policy header or iframe allow attribute. When the feature is disabled, navigator.ml.createContext() rejects with a "SecurityError" DOMException per the spec. This CL also changes the WebIDL to only expose the WebNN interfaces to DedicatedWorker and updates related WPTs. [1] https://www.w3.org/TR/webnn/#permissions-policy-integration Bug: 502083483 Change-Id: I5c723e0ea03864fd0b122aed8b3d31f602545a2e Reviewed-on: https://chromium-review.googlesource.com/c/chromium/src/+/7885337 Reviewed-by: Takashi Toyoshima <toyoshim@chromium.org> Reviewed-by: Bo Liu <boliu@chromium.org> Reviewed-by: Reilly Grant <reillyg@chromium.org> Reviewed-by: Kent Tamura <tkent@chromium.org> Reviewed-by: Steven Holte <holte@chromium.org> Commit-Queue: Wang, Wei4 <wei4.wang@intel.com> Cr-Commit-Position: refs/heads/main@{#1642237} -- wpt-commits: 48d66a5560161cc5b7a372c709964963f62a8e58 wpt-pr: 60418
44 lines
1.3 KiB
JavaScript
44 lines
1.3 KiB
JavaScript
// META: global=window,dedicatedworker
|
|
// META: script=/resources/WebIDLParser.js
|
|
// META: script=/resources/idlharness.js
|
|
// META: script=./resources/utils.js
|
|
// META: timeout=long
|
|
|
|
// https://www.w3.org/TR/webnn/
|
|
|
|
'use strict';
|
|
|
|
idl_test(
|
|
['webnn'],
|
|
['html', 'webidl', 'webgpu'],
|
|
async (idl_array) => {
|
|
if (self.GLOBAL.isWindow()) {
|
|
idl_array.add_objects({ Navigator: ['navigator'] });
|
|
} else if (self.GLOBAL.isWorker()) {
|
|
idl_array.add_objects({ WorkerNavigator: ['navigator'] });
|
|
}
|
|
|
|
idl_array.add_objects({
|
|
ML: ['navigator.ml'],
|
|
MLContext: ['context'],
|
|
MLOperand: ['input', 'constant', 'output'],
|
|
MLGraphBuilder: ['builder'],
|
|
MLGraph: ['graph'],
|
|
MLTensor: ['tensor']
|
|
});
|
|
|
|
self.context = await navigator.ml.createContext();
|
|
self.builder = new MLGraphBuilder(self.context);
|
|
self.input = builder.input('input', {dataType: 'float32', shape: [2, 3]});
|
|
self.constant = builder.constant(
|
|
{dataType: 'float32', shape: [2, 3]}, new Float32Array(2 * 3).fill(1));
|
|
|
|
self.output = builder.add(input, constant);
|
|
|
|
self.graph = await builder.build({output});
|
|
|
|
self.tensor = await context.createTensor(
|
|
{dataType: 'float32', shape: [2, 3], readable: true, writable: true});
|
|
}
|
|
);
|