perf(coreml): run decode on the CPU, not the Neural Engine
Browse filesdecode is a single-token program whose cost on device is dispatch rather than arithmetic, so it was paying Neural Engine overhead on every call under ExecuTorch's ALL default. Pinning only decode to CPU_ONLY (encode stays on ALL) measures 6.7 ms/step against 20.0 on an iPhone 16.
On 14.5s of real speech the whole transcribe is 1.5-3.1x faster depending on size, with a byte-identical transcript: this removes overhead, it does not change numerics.
Exported from export-scripts MR !18, built on main pins (ExecuTorch 1.4.1). Replaces an ExecuTorch 1.2.0 build of the same change; transcripts verified byte-identical on device at all six sizes.
coreml/whisper_base_coreml_fp16.pte
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bb7416a12983589c35b81f60f2b784839177b6131ec8d394d5728e0975b573e2
|
| 3 |
+
size 146289018
|