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62 lines
2.2 KiB
62 lines
2.2 KiB
const kernelsReady = (async () => {
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// can't get browser to use updated versions except with cache-busting query string
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const exports = await import(`./net_clang.js?version=${Date.now()}`);
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Object.assign(self, exports);
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})();
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async function init(event) {
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await kernelsReady;
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self.model = await self.transformer();
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self.addEventListener("message", loadStateDict);
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self.removeEventListener("message", init);
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self.postMessage("success");
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}
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function loadStateDict(event) {
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if (event.data === "done") {
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self.addEventListener("message", inference);
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self.removeEventListener("message", loadStateDict);
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}
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else {
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if (event.data.length > 1) {
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// the bytes from files are set contiguously in WASM memory
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const malloc_size = event.data.reduce((sum, file) => sum + file.bytes.length, 0);
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const malloc_ptr = self.model.wasm._malloc(malloc_size);
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let cursor = 0;
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for (const file of event.data) {
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self.model.wasm.HEAPU8.set(file.bytes, malloc_ptr + cursor);
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for (const part of file.parts) {
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if (part.target_start_pos === 0) {
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// tell WASM code where the tensor is in memory
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self.model.wasm._set_buf(self.transformer_name_to_id[part.key], malloc_ptr + cursor);
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}
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cursor += part.size;
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}
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file.bytes = null;
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}
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}
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else {
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// the bytes from files are not guaranteed to be set contiguously in WASM memory
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const file = event.data[0];
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const malloc_ptr = self.model.wasm._malloc(file.size);
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self.model.wasm.HEAPU8.set(file.bytes, malloc_ptr);
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for (const part of file.parts) {
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if (part.target_start_pos === 0) {
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self.model.wasm._set_buf(self.transformer_name_to_id[part.key], malloc_ptr + part.file_start_pos);
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}
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}
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file.bytes = null;
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}
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}
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self.postMessage("success");
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}
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function inference(event) {
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const [tok, start_pos] = event.data;
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const int32tok = new Int32Array([tok]);
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const model_out = self.model.run(new Uint8Array(int32tok.buffer), start_pos);
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const int32nextTok = new Int32Array(model_out[0].buffer);
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self.postMessage(int32nextTok[0]);
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}
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self.addEventListener("message", init); |