mirror of
https://github.com/denoland/deno.git
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149 lines
4.2 KiB
JavaScript
149 lines
4.2 KiB
JavaScript
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// Copyright 2018-2023 the Deno authors. All rights reserved. MIT license.
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// @ts-check
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/// <reference path="../../core/lib.deno_core.d.ts" />
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/// <reference path="../web/internal.d.ts" />
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/// <reference path="../web/lib.deno_web.d.ts" />
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/// <reference path="./lib.deno_webgpu.d.ts" />
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"use strict";
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((window) => {
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const core = window.Deno.core;
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const ops = core.ops;
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const webidl = window.__bootstrap.webidl;
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const { Symbol } = window.__bootstrap.primordials;
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const { _device, assertDevice, createGPUTexture } = window.__bootstrap.webgpu;
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const _surfaceRid = Symbol("[[surfaceRid]]");
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const _configuration = Symbol("[[configuration]]");
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const _canvas = Symbol("[[canvas]]");
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const _currentTexture = Symbol("[[currentTexture]]");
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class GPUCanvasContext {
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/** @type {number} */
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[_surfaceRid];
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/** @type {InnerGPUDevice} */
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[_device];
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[_configuration];
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[_canvas];
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/** @type {GPUTexture | undefined} */
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[_currentTexture];
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get canvas() {
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webidl.assertBranded(this, GPUCanvasContextPrototype);
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return this[_canvas];
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}
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constructor() {
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webidl.illegalConstructor();
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}
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configure(configuration) {
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webidl.assertBranded(this, GPUCanvasContextPrototype);
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const prefix = "Failed to execute 'configure' on 'GPUCanvasContext'";
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webidl.requiredArguments(arguments.length, 1, { prefix });
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configuration = webidl.converters.GPUCanvasConfiguration(configuration, {
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prefix,
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context: "Argument 1",
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});
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this[_device] = configuration.device[_device];
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this[_configuration] = configuration;
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const device = assertDevice(this, {
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prefix,
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context: "configuration.device",
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});
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const { err } = ops.op_webgpu_surface_configure({
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surfaceRid: this[_surfaceRid],
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deviceRid: device.rid,
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format: configuration.format,
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usage: configuration.usage,
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width: configuration.width,
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height: configuration.height,
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alphaMode: configuration.alphaMode,
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});
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device.pushError(err);
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}
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unconfigure() {
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webidl.assertBranded(this, GPUCanvasContextPrototype);
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this[_configuration] = null;
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this[_device] = null;
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}
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getCurrentTexture() {
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webidl.assertBranded(this, GPUCanvasContextPrototype);
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const prefix =
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"Failed to execute 'getCurrentTexture' on 'GPUCanvasContext'";
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if (this[_configuration] === null) {
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throw new DOMException(
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"context is not configured.",
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"InvalidStateError",
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);
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}
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const device = assertDevice(this, { prefix, context: "this" });
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if (this[_currentTexture]) {
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return this[_currentTexture];
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}
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const { rid } = ops.op_webgpu_surface_get_current_texture(
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device.rid,
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this[_surfaceRid],
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);
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const texture = createGPUTexture(
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{
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size: {
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width: this[_configuration].width,
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height: this[_configuration].height,
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depthOrArrayLayers: 1,
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},
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mipLevelCount: 1,
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sampleCount: 1,
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dimension: "2d",
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format: this[_configuration].format,
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usage: this[_configuration].usage,
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},
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device,
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rid,
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);
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device.trackResource(texture);
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this[_currentTexture] = texture;
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return texture;
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}
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// Extended from spec. Required to present the texture; browser don't need this.
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present() {
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webidl.assertBranded(this, GPUCanvasContextPrototype);
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const prefix = "Failed to execute 'present' on 'GPUCanvasContext'";
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const device = assertDevice(this[_currentTexture], {
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prefix,
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context: "this",
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});
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ops.op_webgpu_surface_present(device.rid, this[_surfaceRid]);
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this[_currentTexture].destroy();
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this[_currentTexture] = undefined;
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}
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}
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const GPUCanvasContextPrototype = GPUCanvasContext.prototype;
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function createCanvasContext(options) {
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const canvasContext = webidl.createBranded(GPUCanvasContext);
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canvasContext[_surfaceRid] = options.surfaceRid;
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canvasContext[_canvas] = options.canvas;
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return canvasContext;
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}
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window.__bootstrap.webgpu = {
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...window.__bootstrap.webgpu,
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GPUCanvasContext,
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createCanvasContext,
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};
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})(this);
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