GPUOutOfMemoryError
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TheGPUOutOfMemoryError interface of theWebGPU API describes an out-of-memory (oom) error indicating that there was not enough free memory to complete the requested operation.
It represents one of the types of errors surfaced byGPUDevice.popErrorScope and theuncapturederror event.
Out-of-memory errors should be relatively rare in a well-behaved app but are less predictable thanGPUValidationErrors. This is because they are dependent on the device your app is running on as well as other apps that are using GPU resources at the time.
In this article
Constructor
GPUOutOfMemoryError()Creates a new
GPUOutOfMemoryErrorobject instance.
Instance properties
Themessage property is inherited from its parent,GPUError:
messageExperimentalRead onlyA string providing a human-readable message that explains why the error occurred.
Examples
The following example uses an error scope to capture an out-of-memory error, logging it to the console.
device.pushErrorScope("out-of-memory");let buffer = device.createBuffer({ size: 100_000_000_000, // 100GB; far too big usage: GPUBufferUsage.COPY_SRC | GPUBufferUsage.MAP_WRITE,});device.popErrorScope().then((error) => { if (error) { // error is a GPUOutOfMemoryError object instance buffer = null; console.error(`Out of memory, buffer too large. Error: ${error.message}`); }});Specifications
| Specification |
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| WebGPU> # gpuoutofmemoryerror> |