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morluto
25aa298c61
Decode observed V2 CUDA parameters, retain qualified PTX parameter names and entry resource counts, and preserve family and feature target declarations through selection and consistency checks. Fixes #6624 Fixes #6625 Fixes #6626 Fixes #6618 Fixes #6613 Fixes #6606
88 lines
3.3 KiB
TypeScript
88 lines
3.3 KiB
TypeScript
import type { GpuObject } from "../domain/gpu/gpuCodeObjects.js";
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import { assertArtifactReadActive } from "../artifacts/ArtifactFileOperation.js";
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import {
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gpuCount,
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nextGpuContainerOffset,
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rejectGpu,
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type GpuSource,
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} from "./GpuSource.js";
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import { gpuObject } from "./GpuObject.js";
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export async function* readCudaFatbinary(
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source: GpuSource,
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signal?: AbortSignal,
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): AsyncGenerator<GpuObject> {
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let base = 0;
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while (base < source.size) {
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const header = await source.read(base, 16);
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if (header.readUInt32LE(0) !== 0xba55ed50)
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rejectGpu("Unexpected bytes between CUDA fatbinary records");
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if (header.readUInt16LE(4) !== 1 || header.readUInt16LE(6) < 16)
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rejectGpu("Unsupported CUDA fatbinary header");
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const start = base + header.readUInt16LE(6),
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length = gpuCount(header.readBigUInt64LE(8));
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if (start > source.size || length > source.size - start)
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rejectGpu("CUDA fatbinary extent is truncated");
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const end = start + length;
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for (let position = start; position < end;) {
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assertArtifactReadActive(signal);
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if (end - position < 64) rejectGpu("CUDA entry header is truncated");
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const h = await source.read(position, 64);
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const kind = h.readUInt16LE(0),
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version = h.readUInt16LE(2),
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width = h.readUInt32LE(4);
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const padded = gpuCount(h.readBigUInt64LE(8)),
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encoded = h.readUInt32LE(16),
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flags = h.readBigUInt64LE(40);
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if (
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width < 64 ||
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width > end - position ||
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padded > end - position - width ||
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encoded > padded
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)
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rejectGpu("CUDA entry extent is invalid");
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const compressed = (flags & 0xa000n) !== 0n;
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const row = gpuObject(source, {
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offset: position + width,
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size: compressed ? encoded : padded,
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kind: kind === 1 ? "ptx" : kind === 2 ? "cubin" : "unknown",
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metadata: { offset: position, size: width },
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});
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const architectureSuffix =
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(flags & 0x100000n) !== 0n
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? "a"
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: (flags & 0x200000n) !== 0n
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? "f"
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: "";
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row.target = `sm_${h.readUInt32LE(28)}${architectureSuffix}`;
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row.raw_flags = `0x${flags.toString(16)}`;
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row.compression =
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(flags & 0x8000n) !== 0n && (flags & 0x2000n) === 0n
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? "zstd"
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: (flags & 0x2000n) !== 0n && (flags & 0x8000n) === 0n
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? "lz4"
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: compressed
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? "unsupported"
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: "none";
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row.compression_id = compressed ? `cuda-flags:${row.raw_flags}` : null;
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row.decoded_size = compressed ? gpuCount(h.readBigUInt64LE(56)) : padded;
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if (compressed && (encoded === 0 || row.decoded_size === 0))
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rejectGpu("Compressed CUDA entry has an empty declared extent");
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if (version !== 0x101) {
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row.compression = "unsupported";
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row.target = null;
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row.decoded_size = null;
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row.limitations.push(
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`CUDA entry version 0x${version.toString(16)} is not decoded`,
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);
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}
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if (row.compression === "unsupported")
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row.limitations.push(
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"This CUDA compression/version is not supported; original encoded bytes and target declarations remain located",
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);
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yield row;
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position += width + padded;
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}
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base = await nextGpuContainerOffset(source, end);
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}
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}
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