GPUOutOfMemoryError
Limited availability
This feature is not Baseline because it does not work in some of the most widely-used browsers.
Experimental: This is an experimental technology
Check the Browser compatibility table carefully before using this in production.
Secure context: This feature is available only in secure contexts (HTTPS), in some or all supporting browsers.
Note: This feature is available in Web Workers.
The GPUOutOfMemoryError
interface of the WebGPU 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 by GPUDevice.popErrorScope
and the uncapturederror
event.
Out-of-memory errors should be relatively rare in a well-behaved app but are less predictable than GPUValidationError
s. 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.
Constructor
GPUOutOfMemoryError()
Experimental-
Creates a new
GPUOutOfMemoryError
object instance.
Instance properties
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 |
---|
WebGPU # gpuoutofmemoryerror |
Browser compatibility
BCD tables only load in the browser