.Synthax
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# Minimal Zig WebGPU Compute Library
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# Minimal Zig WebGPU Compute Library
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This is a minimal, self-contained Zig library designed to simplify running compute shaders using WebGPU. It abstracts away much of the boilerplate required for GPU device initialization, memory management, and pipeline execution.
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This is a minimal, self-contained Zig library designed to simplify running compute shaders using WebGPU.
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It abstracts away much of the boilerplate required for GPU device initialization, memory management, and pipeline execution.
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## Core Modules
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## Core Modules
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@ -27,7 +27,17 @@ pub fn main(init: std.process.Init) !void {
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const add_process = try GpuProcess.init(device, @embedFile("shaders/add.wgsl"));
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const add_process = try GpuProcess.init(device, @embedFile("shaders/add.wgsl"));
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defer add_process.deinit();
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defer add_process.deinit();
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for (EPOCH) |epoch| {}
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var train_dir = try std.Io.Dir.cwd().openDir(io, "mnist/train", .{});
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var images: [BATCHSIZE * 28 * 28]f16 = undefined;
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for (EPOCH) |epoch| {
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// Load random images from train dir
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train_dir.openDir(io, "0", .{});
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for (BATCHSIZE) |i| {
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const file = try train_dir.openFile(io, "0.jpg", .{});
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images[28 * 28 * i .. 28 * 28 * (i + 1)] = file.read
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}
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}
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// 4. Setup CPU data
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// 4. Setup CPU data
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const len: usize = 16;
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const len: usize = 16;
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