diff --git a/README.md b/README.md index 8c26c93e94271a46a916499a55afbfc0b387de0d..4fd490d3490ee28524c20aa53487adc9e8a13320 100644 --- a/README.md +++ b/README.md @@ -15,11 +15,34 @@ The CPU and MLX model is **1.882 GB** on disk, including the encoder, decoder, p The CUDA/Vulkan GGUF stores these exact same reconstructed weights in **Q4_0**, at **2.330 GB**. It is not a three-bit GGUF. Every one of its 4,075,552,768 packed float32 weight values was independently checked for bitwise equality with the native model; original BF16 tensor bytes also match. Use the included Audio8-specific GGML runtime: stock llama.cpp does not implement this architecture. -Fresh public downloads of both full model files and the shipped launchers passed CPU and MLX English/Chinese streaming checks, CUDA on RTX 5080 Laptop, and Vulkan on NVIDIA and AMD. See [post-publication verification](evaluation/published-consumer/summary.json). These checks bind the immutable release commit `c49eca996a633fa64c0ec326436ce2cd131800dc`; those checks apply to that revision. The current Mac launcher uses the separately qualified batch-2 profile described below; model and runtime source bytes remain unchanged. +Fresh public downloads of both full model files and the shipped launchers passed CPU and MLX English/Chinese streaming checks, CUDA on RTX 5080 Laptop, and Vulkan on NVIDIA and AMD. See [post-publication verification](evaluation/published-consumer/summary.json). These checks bind the immutable release commit `c49eca996a633fa64c0ec326436ce2cd131800dc`; those checks apply to that revision. The current Mac launcher uses the separately qualified batch-2 profile described below; model bytes remain unchanged; the current runtime update is described below. -## Current Mac batch-2 qualification +## Current runtime memory update -The current batch-2 launcher also passed English and Chinese streamed-stdin checks from a **fresh public download**, including the complete model file and hash verification: [consumer report](evaluation/published-consumer/mlx-batch2/verification.json), pinned to commit `18c3e32a29402802af4c2053d9928d3ca61b1101`. This evidence update changes no inference files. +The Mac runtime now materializes encoder cache rebases one layer at a time. All tokens and window schedules matched the previous runtime on all 11 previously evaluated recordings; this is a runtime regression check, not a new held-out accuracy result. Weights and inference settings are unchanged. + +| Same 11 recordings, Apple M2 | Previous runtime | Current runtime | +|---|---:|---:| +| Peak process RSS | 2.342 GB | 2.340 GB | +| Peak macOS footprint | 3.111 GB | 2.975 GB | +| Peak MLX allocation | 2.750 GB | 2.395 GB | + +Current mature-cache work/audio ratio: **0.863–0.864**. These memory measurements are separate and must not be added. Serial measurements are not a controlled speed comparison. The soft memory target remains exceeded. [Complete regression and unchanged error counts](evaluation/mlx-memory-regression-11/verification.json). + +## Long CUDA and Vulkan streaming checks + +Both shipped GPU launchers were checked on the same complete, previously evaluated 319.715-second meeting with actual 20 ms paced stdin and the frozen causal silence boundaries. These are exposed-case backend checks, not a new held-out qualification. Hardware: **RTX 5080 Laptop GPU**. + +| Backend | Mature work/audio ratio | Word errors | Same-session unambiguous matched-word p95 / max | +|---|---:|---:|---:| +| CUDA | 0.465 | 181 / 478 | 0.557 / 0.786 s | +| Vulkan | 0.558 | 180 / 478 | 0.579 / 0.868 s | + +The original BF16 CUDA control had 171/478 word errors on this recording; the published MLX model had 179/478. GPU kernel differences can change decoder decisions even with identical reconstructed weights. The original global text-alignment reports retain their late cross-session matches; the supplementary timing audit cannot turn omissions or misrecognitions into latency successes. Peak device memory was not measured. The existing AMD Vulkan smoke remains slower than real time, and the GPU binaries retain their narrow GLIBC 2.43 compatibility. [CUDA evidence](evaluation/gpu-long/cuda/run.json), [Vulkan evidence](evaluation/gpu-long/vulkan/run.json). + +## Earlier batch-2 accuracy qualification + +The preceding batch-2 runtime passed English and Chinese streamed-stdin checks from a **fresh public download**, including the complete model file and hash verification: [consumer report](evaluation/published-consumer/mlx-batch2/verification.json), pinned to commit `18c3e32a29402802af4c2053d9928d3ca61b1101`. That verification predates the cache-rebase runtime change. The Mac launcher now uses batch 2, selected on a previously exposed recording before a separate frozen 11-recording evaluation (471.630 seconds). This is a different corpus from the earlier batch-4 table, so the two tables are not a paired batch-speed comparison. The original CUDA BF16 model used the same full references and causal silence boundaries. diff --git a/SHA256SUMS b/SHA256SUMS index b3018a2438ee650f2ceaa7b999cc8656cd21e093..b8f9e0ea31e2ca0659cc936b5e6f696ad5214f37 100644 --- a/SHA256SUMS +++ b/SHA256SUMS @@ -1,5 +1,5 @@ cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30 LICENSE -ee672ac2697196761546fab74f4e3ba735dcebe0cdc5e3fbd4b589428cc079aa README.md +0f2466a82be0ff4e1766ee6b6916203c3a8ef7d1d9e671787c687b22e2b0b697 README.md d90764d395c58ae956d0972ff4d03459f8e80f495b3376e7fef3c0442dccce0d THIRD_PARTY_NOTICES.md 744baed356a8c86a9791fc76cecb73219ed4aff795147c6cdc082337a13f019c assets/config.json ab3a69e95c9a7fd54adeec09c9cdfe4c79fa81f85908f2154d074bde9ee43102 assets/frontend.a8m @@ -35,6 +35,22 @@ cd0bf3cee941b0d54dfd0a9114b005d1f97ae1f2b5bfed241965a28d668b7478 evaluation/ggu 8081c28af2ac2ad06c6be7bac0d920a964828c1ca191e0dc7fb13d9ba7b2c5f6 evaluation/gguf-smoke/vulkan-1.observed.jsonl 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"25c9a48237c1f23bc419702f89234467a1b9efedbac16d9673f52d6a8c1c6a57" + }, + "source_crop_samples": [ + 592800, + 5708240 + ], + "reference": "Okay Or you get it Okay No I don't think so it has to be like that yeah and you have to adjust the length Okay and then So we uh we will wait for Anna Yeah a few minutes s yeah um Mm Yours is well I think you can put anywhere you want actually Yeah I but thin the the mic should not It's not a directional mic anyway I think it should work like this Uh So I will try to get my presentation running Yeah Yeah Mm Mm Can't help you with that Last It's Okay no it's matter y yeah No problem Ah yes Right Okay Then press uh al Okay This I don't You know know Just try 'Kay On Oh oh this normal Alt F_ five Good Doesn't appear on the screen here Right well Oh Wow Amazing It's working Okay Thank you Uh Hold that Yes and you Okay can put can clip it uh on your Somewhere Okay Mm So good morning everyone Um Welcome at uh at the kick off meeting of our uh latest project I hope you all have been uh updated about it Yeah Good So Yes So w we will try to structure this uh meeting with an a with an agenda uh as presented here Um after the opening we will tr get acquainted to each other See what our roles are in this project So um We have been provided with uh some uh w technical tools to uh to communicate and to well learn from each other's plans uh as I can say um so w we will also try to uh to get acquainted to this tools so they are also new to me I don't know whether you worked with them before Um then we will come to the uh to the to the actual project plan You all know I hope how it's about uh the uh new r remote control we Mm-hmm are going going Total to design Uh then we will uh discuss uh well how it should be and uh wh what uh what our new product should look lite like And uh well then uh after some twenty five minutes I hope uh we can end this meeting So Um basically this is about a uh a new c remote control Um We When you design a new product you of uh you of course want it to be original Be uh we want to be distinguished mm People uh want to uh when they look at the shelf want to think well that's the product I I need So it needs to be trendy I mean trendy is what people want so then I w they will buy our product", + "words": [ + { + "text": "Okay", + "start": 0.20000000000000284, + "end": 0.9600000000000009, + "channel": "C", + "id": "IS1000a.C.words0", + "source_start": 37.25, + "source_end": 38.01 + }, + { + "text": "Or", + "start": 1.6600000000000037, + "end": 1.8000000000000043, + "channel": "D", + "id": "IS1000a.D.words0", + "source_start": 38.71, + "source_end": 38.85 + }, + { + "text": "you", + "start": 1.8000000000000043, + "end": 1.970000000000006, + "channel": "D", + "id": "IS1000a.D.words1", + "source_start": 38.85, + "source_end": 39.02 + }, + { + "text": "get", + "start": 1.970000000000006, + "end": 2.3000000000000043, + "channel": "D", + "id": "IS1000a.D.words2", + "source_start": 39.02, + 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Yeah,\nHe goes as well.\nI think you can put Henry in you want. Actually, give it the the mic. It's not a directional mic, anyway.\nTo work. This.\nI will try to.\nGet my presentation running. Yeah, yeah.\nOkay, yeah.\nAh,\nOkay,\nThen press a. I'll.\nThis, you know, just right.\nBuilt on the pier on the screen here,\nI do.\nOh, whoa! Amazing! It's working. Okay. Thank you.\nOkay. Can clip it.\nSo, good morning, everyone. I'm welcome. It's a kick-off meeting of our latest project. I hope you all have been updated about it. Yeah. Good. So, we will try to structure this meeting with a with an agenda. As presented here. After the opening, we will. Get a acquainted to. Each other. See what our. Roles are in this project. So. We have been provided with some. Technical tools to. To communicate and. To. Well, learn from each other's plans. As I can say, so. We will also try to. To get the acquaintance to this tool. So, there are also new to me. 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warmup complete +ggml_backend_cuda_graph_compute: CUDA graph warmup complete +ggml_backend_cuda_graph_compute: CUDA graph warmup reset +ggml_backend_cuda_graph_compute: CUDA graph warmup complete diff --git a/evaluation/gpu-long/cuda/run.time.txt b/evaluation/gpu-long/cuda/run.time.txt new file mode 100644 index 0000000000000000000000000000000000000000..820f2edd0fb8a1be4101464a61bb9ca339164d12 --- /dev/null +++ b/evaluation/gpu-long/cuda/run.time.txt @@ -0,0 +1,23 @@ + Command being timed: "/bin/sh /dev/shm/audio8-q3-public-linux-consumer-v1/run-cuda.sh - en 0" + User time (seconds): 106.45 + System time (seconds): 2.72 + Percent of CPU this job got: 33% + Elapsed (wall clock) time (h:mm:ss or m:ss): 5:23.20 + Average shared text size (kbytes): 0 + Average unshared data size (kbytes): 0 + Average stack size (kbytes): 0 + Average total size (kbytes): 0 + Maximum resident set size (kbytes): 728216 + Average resident set size (kbytes): 0 + Major (requiring I/O) page faults: 6280 + Minor (reclaiming a frame) page faults: 138268 + Voluntary context switches: 23022 + Involuntary context switches: 1593 + Swaps: 0 + File system inputs: 397360 + File system outputs: 32 + Socket messages sent: 0 + Socket messages received: 0 + Signals delivered: 0 + Page size (bytes): 4096 + Exit status: 0 diff --git a/evaluation/gpu-long/vulkan/causal-alignment-audit.json b/evaluation/gpu-long/vulkan/causal-alignment-audit.json new file mode 100644 index 0000000000000000000000000000000000000000..fea397f2bac10802ec956387857fccab55f55853 --- /dev/null +++ b/evaluation/gpu-long/vulkan/causal-alignment-audit.json @@ -0,0 +1,68 @@ +{ + "status": "supplementary_audit_complete", + "audit": { + "same_session_unambiguous_matches": 292, + "cross_reset_matches": [ + { + "reference_index": 131, + "hypothesis_index": 68, + "text": "on", + "reference_start": 132.91000000000003, + "reference_end": 133.42000000000002, + "emitted_seconds": 138.85705724800937, + "lag_from_word_end_seconds": 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"25c9a48237c1f23bc419702f89234467a1b9efedbac16d9673f52d6a8c1c6a57" + }, + "source_crop_samples": [ + 592800, + 5708240 + ], + "reference": "Okay Or you get it Okay No I don't think so it has to be like that yeah and you have to adjust the length Okay and then So we uh we will wait for Anna Yeah a few minutes s yeah um Mm Yours is well I think you can put anywhere you want actually Yeah I but thin the the mic should not It's not a directional mic anyway I think it should work like this Uh So I will try to get my presentation running Yeah Yeah Mm Mm Can't help you with that Last It's Okay no it's matter y yeah No problem Ah yes Right Okay Then press uh al Okay This I don't You know know Just try 'Kay On Oh oh this normal Alt F_ five Good Doesn't appear on the screen here Right well Oh Wow Amazing It's working Okay Thank you Uh Hold that Yes and you Okay can put can clip it uh on your Somewhere Okay Mm So good morning everyone Um Welcome at uh at the kick off meeting of our uh latest project I hope you all have been uh updated about it Yeah Good So Yes So w we will try to structure this uh meeting with an a with an agenda uh as presented here Um after the opening we will tr get acquainted to each other See what our roles are in this project So um We have been provided with uh some uh w technical tools to uh to communicate and to well learn from each other's plans uh as I can say um so w we will also try to uh to get acquainted to this tools so they are also new to me I don't know whether you worked with them before Um then we will come to the uh to the to the actual project plan You all know I hope how it's about uh the uh new r remote control we Mm-hmm are going going Total to design Uh then we will uh discuss uh well how it should be and uh wh what uh what our new product should look lite like And uh well then uh after some twenty five minutes I hope uh we can end this meeting So Um basically this is about a uh a new c remote control Um We When you design a new product you of uh you of course want it to be original Be uh we want to be distinguished mm People uh want to uh when they look at the shelf want to think well that's the product I I need So it needs to be trendy I mean trendy is what people want so then I w they will buy our product", + "words": [ + { + "text": "Okay", + "start": 0.20000000000000284, + "end": 0.9600000000000009, + "channel": "C", + "id": "IS1000a.C.words0", + "source_start": 37.25, + "source_end": 38.01 + }, + { + "text": "Or", + "start": 1.6600000000000037, + "end": 1.8000000000000043, + "channel": "D", + "id": "IS1000a.D.words0", + "source_start": 38.71, + "source_end": 38.85 + }, + { + "text": "you", + "start": 1.8000000000000043, + "end": 1.970000000000006, + "channel": "D", + "id": "IS1000a.D.words1", + "source_start": 38.85, + "source_end": 39.02 + }, + { + "text": "get", + "start": 1.970000000000006, + "end": 2.3000000000000043, + "channel": "D", + "id": "IS1000a.D.words2", + "source_start": 39.02, + 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Yeah,\nHe goes as well.\nI think you can put Henry in you want. Actually, give it the the mic. It's not a directional mic, anyway.\nTo work. This.\nI will try to.\nGet my presentation running. Yeah, yeah.\nOkay, yeah.\nAh,\nOkay,\nThen press a. I'll.\nThis, you know, just right.\nBuilt on the pier on the screen here,\nI do.\nOh, whoa! Amazing! It's working. Okay. Thank you.\nOkay. Can clip it.\nSo, good morning, everyone. I'm welcome. It's a kick-off meeting of our latest project. I hope you all have been updated about it. Yeah. Good. So, we will try to structure this meeting with a with an agenda. As presented here. After the opening, we will. Get a acquainted to. Each other. See what our. Roles are in this project. So. We have been provided with some. Technical tools to. To communicate and. To. Well, learn from each other's plans. As I can say, so. We will also try to. To get the acquaintance to this tool. So, there are also new to me. I don't know whether you work with it them before. Then we will come to the to the. To the actual project plan. You all know. I hope so. It's about the new remote control. We are going. Going to design. Then we will. Discuss. Well, how should be?\nWhat what our new product should look like? Like, and well, then. After some 25 minutes, I hope. We can end this meeting.\nSo, um, basically this is about a new remote control. Um,\nWe, when you're designing new product here, of course, wanted to be original. We want to be distinguished. People, I want to, when they look at the shelf, want to think, well, that's the product I. I need. So it needs to be trendy. I mean, trendy is what people want. So then I will, they will buy our product.", + "segments": [ + { + "kind": "caption_segment_end", + "segment": 0, + "start_sample": 0, + "end_sample": 73728, + "final_eof": false, + "unconsumed_samples": 728, + "windows": 58, + "seconds": 4.623545465, + "text": "Okay, let's get it." + }, + { + "kind": "caption_segment_end", + "segment": 1, + "start_sample": 130816, + "end_sample": 262656, + "final_eof": false, + "unconsumed_samples": 1240, + "windows": 103, + "seconds": 16.422011454, + "text": "" + }, + { + "kind": "caption_segment_end", + "segment": 2, + "start_sample": 910080, + "end_sample": 1025024, + "final_eof": false, + "unconsumed_samples": 984, + "windows": 90, + "seconds": 64.081414428, + "text": "We we will wait for an few minutes. Yeah," + }, + { + "kind": "caption_segment_end", + "segment": 3, + "start_sample": 1089280, + "end_sample": 1142272, + "final_eof": false, + "unconsumed_samples": 472, + "windows": 42, + "seconds": 71.438754566, + "text": "He goes as well." + }, + { + "kind": "caption_segment_end", + "segment": 4, + "start_sample": 1179904, + "end_sample": 1339392, + "final_eof": false, + "unconsumed_samples": 728, + "windows": 125, + "seconds": 83.721276126, + "text": "I think you can put Henry in you want. Actually, give it the the mic. It's not a directional mic, anyway." + }, + { + "kind": "caption_segment_end", + "segment": 5, + "start_sample": 1370368, + "end_sample": 1439744, + "final_eof": false, + "unconsumed_samples": 216, + "windows": 55, + "seconds": 90.038917873, + "text": "To work. This." + }, + { + "kind": "caption_segment_end", + "segment": 6, + "start_sample": 1439744, + "end_sample": 1492992, + "final_eof": false, + "unconsumed_samples": 728, + "windows": 42, + "seconds": 93.321370083, + "text": "I will try to." + }, + { + "kind": "caption_segment_end", + "segment": 7, + "start_sample": 1494272, + "end_sample": 1586176, + "final_eof": false, + "unconsumed_samples": 984, + "windows": 72, + "seconds": 99.163708918, + "text": "Get my presentation running. Yeah, yeah." + }, + { + "kind": "caption_segment_end", + "segment": 8, + "start_sample": 1696000, + "end_sample": 1772544, + "final_eof": false, + "unconsumed_samples": 984, + "windows": 60, + "seconds": 110.801212173, + "text": "Okay, yeah." + }, + { + "kind": "caption_segment_end", + "segment": 9, + "start_sample": 1811712, + "end_sample": 1851392, + "final_eof": false, + "unconsumed_samples": 1240, + "windows": 31, + "seconds": 115.721220931, + "text": "Ah," + }, + { + "kind": "caption_segment_end", + "segment": 10, + "start_sample": 1947904, + "end_sample": 1987072, + "final_eof": false, + "unconsumed_samples": 728, + "windows": 31, + "seconds": 124.201221785, + "text": "Okay," + }, + { + "kind": "caption_segment_end", + "segment": 11, + "start_sample": 1998592, + "end_sample": 2051584, + "final_eof": false, + "unconsumed_samples": 472, + "windows": 42, + "seconds": 128.281706688, + "text": "Then press a. I'll." + }, + { + "kind": "caption_segment_end", + "segment": 12, + "start_sample": 2051584, + "end_sample": 2195968, + "final_eof": false, + "unconsumed_samples": 984, + "windows": 113, + "seconds": 137.264825908, + "text": "This, you know, just right." + }, + { + "kind": "caption_segment_end", + "segment": 13, + "start_sample": 2201344, + "end_sample": 2272256, + "final_eof": false, + "unconsumed_samples": 472, + "windows": 56, + "seconds": 142.057626282, + "text": "Built on the pier on the screen here," + }, + { + "kind": "caption_segment_end", + "segment": 14, + "start_sample": 2274048, + "end_sample": 2312704, + "final_eof": false, + "unconsumed_samples": 216, + "windows": 31, + "seconds": 144.601348116, + "text": "I do." + }, + { + "kind": "caption_segment_end", + "segment": 15, + "start_sample": 2341120, + "end_sample": 2475008, + "final_eof": false, + "unconsumed_samples": 728, + "windows": 105, + "seconds": 154.702075437, + "text": "Oh, whoa! Amazing! It's working. Okay. 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Yeah,\nHe goes as well.\nI think you can put Henry in you want. Actually, give it the the mic. It's not a directional mic, anyway.\nTo work. This.\nI will try to.\nGet my presentation running. Yeah, yeah.\nOkay, yeah.\nAh,\nOkay,\nThen press a. I'll.\nThis, you know, just right.\nBuilt on the pier on the screen here,\nI do.\nOh, whoa! Amazing! It's working. Okay. Thank you.\nOkay. Can clip it.\nSo, good morning, everyone. I'm welcome. It's a kick-off meeting of our latest project. I hope you all have been updated about it. Yeah. Good. So, we will try to structure this meeting with a with an agenda. As presented here. After the opening, we will. Get a acquainted to. Each other. See what our. Roles are in this project. So. We have been provided with some. Technical tools to. To communicate and. To. Well, learn from each other's plans. As I can say, so. We will also try to. To get the acquaintance to this tool. So, there are also new to me. I don't know whether you work with it them before. Then we will come to the to the. To the actual project plan. You all know. I hope so. It's about the new remote control. We are going. Going to design. Then we will. Discuss. Well, how should be?\nWhat what our new product should look like? Like, and well, then. After some 25 minutes, I hope. We can end this meeting.\nSo, um, basically this is about a new remote control. Um,\nWe, when you're designing new product here, of course, wanted to be original. We want to be distinguished. People, I want to, when they look at the shelf, want to think, well, that's the product I. I need. So it needs to be trendy. I mean, trendy is what people want. So then I will, they will buy our product.", + "normalized_reference": "okay or you get it okay no i don t think so it has to be like that yeah and you have to adjust the length okay and then so we uh we will wait for anna yeah a few minutes s yeah um mm yours is well i think you can put anywhere you want actually yeah i but thin the the mic should not it s not a directional mic anyway i think it should work like this uh so i will try to get my presentation running yeah yeah mm mm can t help you with that last it s okay no it s matter y yeah no problem ah yes right okay then press uh al okay this i don t you know know just try kay on oh oh this normal alt f five good doesn t appear on the screen here right well oh wow amazing it s working okay thank you uh hold that yes and you okay can put can clip it uh on your somewhere okay mm so good morning everyone um welcome at uh at the kick off meeting of our uh latest project i hope you all have been uh updated about it yeah good so yes so w we will try to structure this uh meeting with an a with an agenda uh as presented here um after the opening we will tr get acquainted to each other see what our roles are in this project so um we have been provided with uh some uh w technical tools to uh to communicate and to well learn from each other s plans uh as i can say um so w we will also try to uh to get acquainted to this tools so they are also new to me i don t know whether you worked with them before um then we will come to the uh to the to the actual project plan you all know i hope how it s about uh the uh new r remote control we mm hmm are going going total to design uh then we will uh discuss uh well how it should be and uh wh what uh what our new product should look lite like and uh well then uh after some twenty five minutes i hope uh we can end this meeting so um basically this is about a uh a new c remote control um we when you design a new product you of uh you of course want it to be original be uh we want to be distinguished mm people uh want to uh when they look at the shelf want to think well that s the product i i need so it needs to be trendy i mean trendy is what people want so then i w they will buy our product", + "normalized_hypothesis": "okay let s get it we we will wait for an few minutes yeah he goes as well i think you can put henry in you want actually give it the the mic it s not a directional mic anyway to work this i will try to get my presentation running yeah yeah okay yeah ah okay then press a i ll this you know just right built on the pier on the screen here i do oh whoa amazing it s working okay thank you okay can clip it so good morning everyone i m welcome it s a kick off meeting of our latest project i hope you all have been updated about it yeah good so we will try to structure this meeting with a with an agenda as presented here after the opening we will get a acquainted to each other see what our roles are in this project so we have been provided with some technical tools to to communicate and to well learn from each other s plans as i can say so we will also try to to get the acquaintance to this tool so there are also new to me i don t know whether you work with it them before then we will come to the to the to the actual project plan you all know i hope so it s about the new remote control we are going going to design then we will discuss well how should be what what our new product should look like like and well then after some 25 minutes i hope we can end this meeting so um basically this is about a new remote control um we when you re designing new product here of course wanted to be original we want to be distinguished people i want to when they look at the shelf want to think well that s the product i i need so it needs to be trendy i mean trendy is what people want so then i will they will buy our product", + "metric": "WER", + "counts": { + "hits": 302, + "substitutions": 39, + "deletions": 137, + "insertions": 4, + "reference_units": 478, + "hypothesis_units": 345, + "errors": 180, + "error_rate": 0.37656903765690375 + }, + "longest_contiguous_deleted_reference_units": 25, + "aligned_word_timing": { + "measured": true, + "actual_arrival_paced": true, + "timing_basis": "Host receipt relative to post-ready20ms source feeder; 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0000000000000000000000000000000000000000..0f52fbb1cb983ca4f0eabda01eb105628007a316 --- /dev/null +++ b/evaluation/gpu-long/vulkan/run.stderr.txt @@ -0,0 +1,3 @@ +ggml_vulkan: Found 2 Vulkan devices: +ggml_vulkan: 0 = NVIDIA GeForce RTX 5080 Laptop GPU (NVIDIA) | uma: 0 | fp16: 1 | bf16: 1 | fp4: 0 | warp size: 32 | shared memory: 49152 | int dot: 1 | matrix cores: NV_coopmat2 +ggml_vulkan: 1 = AMD Radeon 890M Graphics (RADV STRIX1) (radv) | uma: 1 | fp16: 1 | bf16: 0 | fp4: 0 | warp size: 64 | shared memory: 65536 | int dot: 1 | matrix cores: KHR_coopmat diff --git a/evaluation/gpu-long/vulkan/run.time.txt b/evaluation/gpu-long/vulkan/run.time.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb1e69af67399f5b0466226efd76b76e661dddd1 --- /dev/null +++ b/evaluation/gpu-long/vulkan/run.time.txt @@ -0,0 +1,23 @@ + Command being timed: "/bin/sh /dev/shm/audio8-q3-public-linux-consumer-v1/run-vulkan.sh - en 0" + User time (seconds): 86.74 + System time (seconds): 1.72 + Percent of CPU this job got: 27% + Elapsed (wall clock) time (h:mm:ss or m:ss): 5:22.90 + Average shared text size (kbytes): 0 + Average unshared data size (kbytes): 0 + Average stack size (kbytes): 0 + Average total size (kbytes): 0 + Maximum resident set size (kbytes): 313080 + Average resident set size (kbytes): 0 + Major (requiring I/O) page faults: 1470 + Minor (reclaiming a frame) page faults: 43891 + Voluntary context switches: 90686 + Involuntary context switches: 1724 + Swaps: 0 + File system inputs: 237096 + File system outputs: 168 + Socket messages sent: 0 + Socket messages received: 0 + Signals delivered: 0 + Page size (bytes): 4096 + Exit status: 0 diff --git a/evaluation/mlx-memory-regression-11/BAC009S0906W0121/invocation.json b/evaluation/mlx-memory-regression-11/BAC009S0906W0121/invocation.json new file mode 100644 index 0000000000000000000000000000000000000000..07d5025f46cd24f5ff87b17e7602d82f88e15afe --- /dev/null +++ b/evaluation/mlx-memory-regression-11/BAC009S0906W0121/invocation.json @@ -0,0 +1,33 @@ +[ + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/.venv-mlx/bin/python", + "-c", + "import sys; sys.path.insert(0, '/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/work/mlx-native-q3-trim-eval-v1'); from mlx_runtime.cli import main; main()", + "--bundle", + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/artifacts/native-q3-mlp-rt240-v1", + "--config", + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/models/original/config.json", + "--frontend", + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/artifacts/frontend-primitive.a8m", + "--tokenizer", + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/artifacts/native-tokenizer-v1.a8tok", + "--input", + "-", + "--language", + "zh", + "--startup", + "realtime18", + "--delay-ms", + "240", + "--dtype", + "float16", 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'/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/work/mlx-native-q3-trim-eval-v1'); from mlx_runtime.cli import main; main()", + "--bundle", + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/artifacts/native-q3-mlp-rt240-v1", + "--config", + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/models/original/config.json", + "--frontend", + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/artifacts/frontend-primitive.a8m", + "--tokenizer", + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/artifacts/native-tokenizer-v1.a8tok", + "--input", + "-", + "--language", + "zh", + "--startup", + "realtime18", + "--delay-ms", + "240", + "--dtype", + "float16", + "--cache-dtype", + "bfloat16", + "--batch-windows", + "2", + "--math-mode", + "compiled", + "--fuse-projections", + "--warmup-projections", + "--silero-vad", + 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received + 140 voluntary context switches + 28933 involuntary context switches + 97254915528 instructions retired + 33375895610 cycles elapsed + 2656913736 peak memory footprint diff --git a/evaluation/mlx-memory-regression-11/ami-ES2004a/invocation.json b/evaluation/mlx-memory-regression-11/ami-ES2004a/invocation.json new file mode 100644 index 0000000000000000000000000000000000000000..a6ad69f1604f14bb3e8363d2d8cbae538e1e795f --- /dev/null +++ b/evaluation/mlx-memory-regression-11/ami-ES2004a/invocation.json @@ -0,0 +1,33 @@ +[ + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/.venv-mlx/bin/python", + "-c", + "import sys; sys.path.insert(0, '/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/work/mlx-native-q3-trim-eval-v1'); from mlx_runtime.cli import main; main()", + "--bundle", + "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/artifacts/native-q3-mlp-rt240-v1", + "--config", + 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But better,\nAm I supposed to be standing up there? So you've got both of these clipped on.\nI'm going to answer me. Yeah, I've got. Both of them. Okay.\nEverybody. Bye. I'm Sarah. Project manager. And this is our first meeting. Surprisingly enough. Okay, this is our agenda. And we will. Do some stuff. Get to know each other a bit better. Feel more comfortable with each other. Then we'll go. Do tool training. Talk about the project plan. Discuss our own ideas and everything. And we've got 25 minutes to do that. As far as I can understand. Now, we're developing a remote control. Which you probably already know. We want it to be original. Something that's people haven't thought of. It's not out in the shops. Trendy. Appealing to a wide market. But. You know. Not a hunk of metal. And user friendly. Granny's to kids. Maybe even pooches should be able to use it. Okay. First is the functional design. This is where we all go off and do our individual work. What needs need to be fulfilled by the product. What effect the product has to have? And how it's actually going to do that? Conceptual design. What we're thinking. How it's going to go. And then the detailed design. How we're actually going to put it into practice and make it work.\nOkay. Right. We're going to practice with a pen. And draw our favorite animal on the whiteboard. I'll go first. And sum up the characteristics of that animal. So.\nOkay. At least space for everyone else.\nWe're running out of blue.\nOkay. I'm not going to ask you to guess. I'm going to tell you that it's supposed to be a tiger.\nAnd I see them as majestic,\nAnd. Independent.\nAnd proud.\nNo. Who would like to go next? Me. Okay. Got.\nWith this confront, there you go, power. Oh, yep. 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RSS and footprint are separate measurements and must not be summed." + }, + "mlx_memory": { + "mlx_active_bytes": 2002895296, + "mlx_cache_bytes": 66088725, + "mlx_peak_bytes": 2118020298, + "process_peak_rss_bytes": 2338914304 + }, + "mature_windows": 0, + "mature_work_rtf": null + }, + "candidate": { + "memory": { + "os_peak_process_rss_bytes": 2338701312, + "os_peak_memory_footprint_bytes": 2656913736, + "footprint_available": true, + "rss_source_unit": "bytes", + "elapsed_seconds": 15.81, + "user_seconds": 9.08, + "system_seconds": 2.54, + "scope": "Fresh native child process including loading and inference; excludes Python harness. RSS and footprint are separate measurements and must not be summed." + }, + "mlx_memory": { + "mlx_active_bytes": 2002893248, + "mlx_cache_bytes": 67643508, + "mlx_peak_bytes": 2118033930, + "process_peak_rss_bytes": 2338701312 + }, + "mature_windows": 0, + "mature_work_rtf": null + }, + "original_alignment_timing": { + "measured": false, + "actual_arrival_paced": true, + "timing_basis": "Independent host receipt of flushed JSONL since paced20ms producer start; all source words retained", + "correctly_matched_units": 0, + "ambiguous_matched_units": 0, + "ambiguity_method": "all minimum unit-cost Levenshtein paths, without timing-based selection", + "unambiguous_matched_units": 0, + "unambiguous_maximum_seconds": null, + "unmatched_reference_units": 0, + "matched_reference_fraction": null, + "min_seconds": null, + "p50_seconds": null, + "p95_seconds": null, + "maximum_seconds": null, + "matched_units_above_one_second": null, + "all_matched_units_within_one_second": null, + "whole_release_pass": false, + "limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected." + }, + "supplementary_causal_timing": { + "same_session_unambiguous_matches": 0, + "cross_reset_matches": [], + "maximum_seconds": null, + "p95_seconds": null, + "over_one_second": 0, + "omitted_and_substituted_words_remain_errors": true + } + } + ], + "peaks": { + "baseline": { + "rss_bytes": 2342289408, + "footprint_bytes": 3111176664, + "mlx_allocation_bytes": 2750192485 + }, + "candidate": { + "rss_bytes": 2339995648, + "footprint_bytes": 2975418792, + "mlx_allocation_bytes": 2395437740 + } + }, + "all_eleven_exact_token_and_schedule_parity": true, + "measured_mature_rtf_range": [ + 0.8633251343607103, + 0.8642073193592007 + ], + "all_measured_mature_rtf_under_one": true, + "observed_same_session_unambiguous_over_one_second": 0, + "already_evaluated_inputs": true, + "fresh_heldout": false, + "production_ready": false, + "comparison_limit": "Serial runs on the same host, not an interleaved controlled speed experiment. OS footprint and RSS are distinct from MLX allocation. Errors and alignment ambiguity are retained.", + "plan_sha256": "05ec870469c6dc383f841e299650a412f1ca608a69a928a9a2b477ba19fd467c", + "campaign_sha256": "cc95c1e22acf1f0949bc7648dbf141a279ebb4e9f9598ca00bad25acf7d08908", + "script_sha256": "368b63a07853603f4eb8dd7bcaba05f73764d2c35ab220a3eb3f8d6c6e3aca37" +} diff --git a/execution_profile.json b/execution_profile.json index 140cea86778e2258e09cb6bcf2ea0558d3167328..d751e7c61d740556c548e2e3ae7fa0c223eb4b4c 100644 --- a/execution_profile.json +++ b/execution_profile.json @@ -77,7 +77,9 @@ "warmup_projections": true }, "qualification": "evaluation/mlx-batch2-reserved-11/qualification.json", - "qualification_sha256": "cf2d73c477bf49cb5ff9c3b20a1992e49fb2db57f22daffca5616bd5afddd8c5" + "qualification_sha256": "cf2d73c477bf49cb5ff9c3b20a1992e49fb2db57f22daffca5616bd5afddd8c5", + "runtime_regression": "evaluation/mlx-memory-regression-11/verification.json", + "runtime_regression_sha256": "09dcfba1bace7545f360c8cb810bd23e429810a8d20a8bd28222c01a0dc7b02f" }, "native": { "linux-x86_64": { diff --git a/mlx_runtime/model.py b/mlx_runtime/model.py index 7972c2222e24e18bf5d09f5bcb5b1ff73ebe8b5e..a56fa23e7f0813f262dbfff281b4bd625b5a57b6 100644 --- a/mlx_runtime/model.py +++ b/mlx_runtime/model.py @@ -200,6 +200,8 @@ class Session: cache.trim_decoder(self.trim, self.stable, self.model.text_theta) for cache in self.encoder: cache.rebase_encoder(self.trim * self.gear, self.model.audio_theta) + # Bound rotation scratch to one layer; preserve the exact operations. + mx.eval(*cache.arrays()) self.position -= self.trim; self.trims += 1 mx.eval(*self.cache_arrays()) diff --git a/provenance/mlx-memory-runtime-v1.json b/provenance/mlx-memory-runtime-v1.json new file mode 100644 index 0000000000000000000000000000000000000000..6714c393ca912050fd5c78e1e1e6cd40d06dce42 --- /dev/null +++ b/provenance/mlx-memory-runtime-v1.json @@ -0,0 +1,28 @@ +{ + "status": "verified_runtime_regression", + "previous_revision": "a5dd79f4a25d68b942e0df2ab674db8c8866a802", + "change": "Materialize each encoder cache rebase before constructing the next layer rebase. Same model weights, cache dtype, context length and inference profile.", + "runtime_sources": { + "__init__.py": "687ad18a08c3dd374e55113a43b33ac1b27e208b01ce99a827187af4244ccd47", + "__main__.py": "cf7390a2508a0fcad4777a4a629fc5212ab655cb45845975995f835676a834e3", + "cli.py": "c8d7029a9e77436ba50739499b2132ce02d45e16c148640f3d3824bf61883158", + "frontend.py": "fcfa93161c7c431fe5918fb559c52faa587c9eb0e790fae4057caed278f7f383", + "gptq_q4_provenance.py": "461163cd7c68fcf5c4ff0061be1d895636f91ff31cfb12ba6c89f218aec0c418", + "math.py": "839517e331f76bb3b000998e8368761c18575e67c07cc6be49cdd5029e634851", + "model.py": "b2544d52e5dc2ff00e5f92364e9500d01028d3da9f5d0f5ce2acaa50e75229e8", + "native_model_format.py": "600b957bb9f6ed38b1078d2d2d870d201b120774415d4b5d8f4121784f4be258", + "native_weights.py": "4e518da4e765a90a3e419ad0c9827651f2a5829c55052bcef9ec855cf2ea2ffd", + "silero_input.py": "8d36f9cfc8aa92ce34afd1702113cec17f688a5bb0e0cd5ca73f387821cc620d", + "silero_stream.py": "1406e2e8972c638dedfd0dcf9b8e72d06296aed503f1bef28d86a1b9d8aa595e", + "stream.py": "60bc5d7b5c6946ad63df284feb8d04bc99163bf15eab2f75d23f5a4ca7a97a55", + "weights.py": "4c34bb6e77e41cdaa268498d80a65dc595a8c46e273d2414e2f122e3f0a04c1d" + }, + "source_archive": "sources/mlx-q3-sequential-cache-rebase-v1.tar.gz", + "source_archive_sha256": "96946f72aaaf8ec09e7a45fcd80ddb8d2378f5e23d73df740d4f6b73f7e345ae", + "regression_report": "evaluation/mlx-memory-regression-11/verification.json", + "regression_report_sha256": "09dcfba1bace7545f360c8cb810bd23e429810a8d20a8bd28222c01a0dc7b02f", + "inputs_previously_evaluated": true, + "no_new_heldout_claim": true, + "zero_copy_loader_not_selected": true, + "encoder_compression_not_selected": true +} diff --git a/release_manifest.json b/release_manifest.json index 94d5f1ccb317d69a527a6029bfa998be35942e8f..f31c3d3076493e930301decba92eb321b92b6def 100644 --- a/release_manifest.json +++ b/release_manifest.json @@ -22,32 +22,38 @@ "portable_en_zh_ids_logits_clocks_match_qualified_host": true }, "mlx": { - "status": "batch2_all_eleven_new_reserved_cases_verified", + "status": "batch2_exact_output_memory_regression_verified", "platform": "Apple M2 macOS26.5.1 MLX0.32.2", "batch_windows": 2, "qualification_report": "evaluation/mlx-batch2-reserved-11/verification.json", - "qualification_report_sha256": "9079357932005ce0cae6721f5d2670423ef4585293f7c92e330047b61a881fc2" + "qualification_report_sha256": "9079357932005ce0cae6721f5d2670423ef4585293f7c92e330047b61a881fc2", + "runtime_regression": "evaluation/mlx-memory-regression-11/verification.json", + "runtime_regression_sha256": "09dcfba1bace7545f360c8cb810bd23e429810a8d20a8bd28222c01a0dc7b02f" }, "cuda": { - "status": "smoke_passed", - "scope": "RTX5080Laptop CUDA13.3 SM120a GLIBC2.43; complete exposed EN0 paced stdin only" + "status": "long_exposed_stream_verified", + "scope": "RTX5080Laptop GLIBC2.43; complete 319.715-second exposed paced stream. 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"model_runtime_launcher_profile_unchanged_since_verified_commit": false } } } diff --git a/sources/mlx-q3-sequential-cache-rebase-v1.tar.gz b/sources/mlx-q3-sequential-cache-rebase-v1.tar.gz new file mode 100644 index 0000000000000000000000000000000000000000..7fcca4d69bd1011f8f8b2f288e85c3f2c54769c4 --- /dev/null +++ b/sources/mlx-q3-sequential-cache-rebase-v1.tar.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:96946f72aaaf8ec09e7a45fcd80ddb8d2378f5e23d73df740d4f6b73f7e345ae +size 34978 diff --git a/sources/scripts/audit_gpu_caption_cross_reset_v1.py b/sources/scripts/audit_gpu_caption_cross_reset_v1.py new file mode 100644 index 0000000000000000000000000000000000000000..5a62b4d3aef775d64109113a83e7ffbaae57a274 --- /dev/null +++ b/sources/scripts/audit_gpu_caption_cross_reset_v1.py @@ -0,0 +1,41 @@ +"""Supplement GPU latency with ASR session boundaries, preserving the original score.""" +from pathlib import Path +import argparse +import json +from verify_mlx_q3_memory_regression_v1 import timing_audit, sha + + +def main(): + p = argparse.ArgumentParser(description=__doc__) + p.add_argument('--directory', type=Path, required=True) + args = p.parse_args() + root = args.directory + output = root / 'causal-alignment-audit.json' + assert not output.exists() + report = json.loads((root / 'run.json').read_text()) + assert report['status'] == 'complete' + raw = root / 'run.jsonl' + obs = root / 'run.observed.jsonl' + assert sha(raw) == report['logs']['raw']['sha256'] + assert sha(obs) == report['logs']['observed']['sha256'] + rows = [json.loads(line) for line in raw.open()] + observations = [json.loads(line) for line in obs.open()] + # Derived times use the same recorded origin as the unchanged primary score. + for row, receipt in zip(rows, observations, strict=True): + assert row['kind'] == receipt['kind'] and row.get('index') == receipt['index'] + receipt['received_seconds_since_feeder_start'] = ( + receipt['received_monotonic_seconds'] - report['feeder']['feeder_started_monotonic']) + audit = timing_audit(dict(score=report['caption_score']), rows, observations) + result = dict(status='supplementary_audit_complete', audit=audit, + original_counts=report['caption_score']['counts'], + original_alignment_timing=report['caption_score']['aligned_word_timing'], + production_ready=False, whole_release_pass=False, not_a_replacement_score=True, + method='Textual matches wholly outside the emitting ASR session cannot identify the spoken word for latency. They remain unresolved recognition evidence, never zero-latency successes. Original global score and latency are retained.', + inputs={str(path): sha(path) for path in (root / 'run.json', raw, obs, Path(__file__), + Path(__file__).with_name('verify_mlx_q3_memory_regression_v1.py'))}) + output.write_text(json.dumps(result, indent=2) + '\n') + print(json.dumps(audit)) + + +if __name__ == '__main__': + main() diff --git a/sources/scripts/probe_published_q3_gpu_long_v1.py b/sources/scripts/probe_published_q3_gpu_long_v1.py new file mode 100644 index 0000000000000000000000000000000000000000..14fea6c1ecc78a18c1ba46987f80425420bd6f94 --- /dev/null +++ b/sources/scripts/probe_published_q3_gpu_long_v1.py @@ -0,0 +1,97 @@ +"""Long exposed-case check of the shipped CUDA/Vulkan launchers, no model selection.""" +from pathlib import Path +import argparse +import json +import os +import sys +import time + +BASE = Path('/home/rezo/audio8-q4-recovery-20260924') +CONSUMER = Path('/dev/shm/audio8-q3-public-linux-consumer-v1') +sys.path.insert(0, '/dev/shm/audio8-q3-exact-gpu-v1') +import probe_q3_exact_gguf_smoke_v1 as helper + + +def main(): + p = argparse.ArgumentParser(description=__doc__) + p.add_argument('--backend', choices=['cuda', 'vulkan'], required=True) + p.add_argument('--device', type=int, choices=[0], default=0) + p.add_argument('--output', type=Path, required=True) + args = p.parse_args() + assert not args.output.exists() and 'LD_LIBRARY_PATH' not in os.environ + for name, digest in helper.PINNED.items(): + assert helper.sha(helper.ROOT / name) == digest, name + manifest_path = BASE / 'native-caption-observer-v1/data/continuous-v1/manifest.json' + manifest = json.loads(manifest_path.read_text()) + case = next(c for c in manifest['cases'] if c['id'] == 'ami-IS1000a') + case['path'] = str(BASE / 'native-heldout-campaign-v1/inputs/IS1000a.f32le') + assert case['sha256'] == 'a2ca3b651137e316ec19127b5f4c785c258673968a93cd97df0834f97fcd125f' + assert case['samples'] == 5115440 and helper.sha(case['path']) == case['sha256'] + release_path = CONSUMER / 'release_manifest.json' + release = json.loads(release_path.read_text()) + records = {r['path']: r for r in release['files']} + names = [f'run-{args.backend}.sh', f'gguf/bin/linux-x86_64-{args.backend}/audio8-gguf', + f'gguf/bin/linux-x86_64-{args.backend}/libaudio8-bridge.so', + 'gguf/audio8-q3-exact-q4_0.gguf', 'assets/tokenizer.a8tok', 'assets/silero_vad.onnx'] + pins = {str(CONSUMER / name): records[name]['sha256'] for name in names} + assert pins[str(CONSUMER / 'gguf/audio8-q3-exact-q4_0.gguf')] == helper.MODEL_SHA + segments_path = BASE / 'original-cuda-reference-v1/reports/silero-is1000a-causal-segments-v1.json' + expected_segments = json.loads(segments_path.read_text())['segments'] + dependencies = [Path(__file__), Path(helper.__file__), release_path, manifest_path, + segments_path, Path(case['path']), *[helper.ROOT / n for n in helper.PINNED]] + pins.update({str(path): helper.sha(path) for path in dependencies}) + assert all(helper.sha(path) == digest for path, digest in pins.items()) + args.output.mkdir(parents=True) + command = ['/bin/sh', str(CONSUMER / f'run-{args.backend}.sh'), '-', 'en', str(args.device)] + plan = dict(status='frozen_before_inference', pins=pins, command=command, case=case, + purpose='Already evaluated full meeting; backend regression, not new heldout qualification', + fresh_heldout=False, production_ready=False, peak_device_memory_measured=False) + (args.output / 'plan.json').write_text(json.dumps(plan, indent=2) + '\n') + paths = helper.observer.output_paths(args.output / 'run.json') + report = dict(status='running', started_unix=time.time(), plan_sha256=helper.sha(args.output / 'plan.json')) + paths['report'].write_text(json.dumps(report, indent=2) + '\n') + try: + rows, observations, feeder = helper.observer.capture_process(command, Path(case['path']), + case['samples'], paths, timeout_seconds=1200, max_events=20000, + ready_timeout=120, ready_kind='caption_stream_ready') + table = helper.token_table(CONSUMER / 'assets/tokenizer.a8tok') + report.update(helper.validate(rows, case, table, args.backend, args.device, 1)) + starts = [r for r in rows if r['kind'] == 'caption_segment_start'] + ends = [r for r in rows if r['kind'] == 'caption_segment_end'] + actual = [dict(id=s['segment'], start_sample=s['start_sample'], decision_sample=s['decision_sample'], + end_sample=e['end_sample'], final_eof=e['final_eof']) for s, e in zip(starts, ends, strict=True)] + assert len(actual) == len(expected_segments) + for a, e in zip(actual, expected_segments, strict=True): + assert all(a[k] == e[k] for k in ('start_sample', 'decision_sample', 'end_sample', 'final_eof')) + deltas = [] + for row, observation in zip(rows, observations, strict=True): + assert row['kind'] == observation['kind'] and row.get('index') == observation['index'] + if row['kind'] == 'caption_text_delta': + deltas.append(dict(text=row['text'], index=row['index'], + seconds=observation['received_monotonic_seconds'] - feeder['feeder_started_monotonic'])) + mature = [r for r in rows if r['kind'] == 'caption_window' and not r['eof_drain'] + and r['segment_index'] >= 375] + assert mature + report.update(status='complete', feeder=feeder, consumer_deltas=deltas, + caption_score=helper.caption_score(case, deltas, actual_arrival_paced=True, + timing_basis='Host receipt relative to post-ready20ms source feeder; complete exposed meeting'), + mature_windows=len(mature), mature_work_rtf=sum(r['work_seconds'] for r in mature)/(len(mature)*.08), + memory=helper.observer.parse_time(paths['timing'].read_text(), 'Linux'), + peak_device_memory_measured=False, frozen_segments_exact=True, + invoked_shipped_launcher=True, release_qualification=False, production_ready=False) + assert all(helper.sha(path) == digest for path, digest in pins.items()) + report['all_assets_unchanged'] = True + except BaseException as error: + report.update(status='failed', error=f'{type(error).__name__}: {error}') + raise + finally: + report['finished_unix'] = time.time() + report['logs'] = {name: helper.asset(path) for name, path in paths.items() + if name != 'report' and path.exists()} + paths['report'].write_text(json.dumps(report, indent=2) + '\n') + print(json.dumps(dict(status=report['status'], mature_work_rtf=report['mature_work_rtf'], + counts=report['caption_score']['counts']))) + + +if __name__ == '__main__': + main() diff --git a/sources/scripts/regress_mlx_q3_memory_runtime_v1.py b/sources/scripts/regress_mlx_q3_memory_runtime_v1.py new file mode 100644 index 0000000000000000000000000000000000000000..84f98104de132ab7abde928523906cd50b4f882d --- /dev/null +++ b/sources/scripts/regress_mlx_q3_memory_runtime_v1.py @@ -0,0 +1,119 @@ +"""Paced runtime regression on already evaluated inputs, with exact token parity. + +This is deliberately not a new held-out model qualification. The weights, input +order, references, VAD boundaries and output token expectations remain frozen. +""" +from pathlib import Path +import argparse +import json +import sys +import time + +ROOT = Path(__file__).resolve().parents[1] +sys.path[:0] = [str(ROOT), str(ROOT / 'scripts')] +from silero_qualification_v3 import load_frozen, case_binding, sha, require +from probe_native_candidate import capture_process, output_paths +from validate_caption_run_v2 import validate +from run_native_probe import parse_time + +BASE = ROOT / 'reports/mlx-q3-b2-qualification-v1' +QUALIFICATION_SHA = 'cf2d73c477bf49cb5ff9c3b20a1992e49fb2db57f22daffca5616bd5afddd8c5' + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument('--runtime', type=Path, required=True) + parser.add_argument('--output', type=Path, required=True) + args = parser.parse_args() + frozen, cases = load_frozen(BASE / 'qualification.json', QUALIFICATION_SHA) + source = args.runtime.absolute() + require(source.is_dir() and not args.output.exists(), 'new output and existing runtime required') + candidate = frozen['selected_candidate'] + bundle = ROOT / candidate['mlx_bundle'] + config = ROOT / 'models/original/config.json' + frontend = ROOT / 'artifacts/frontend-primitive.a8m' + tokenizer = ROOT / 'artifacts/native-tokenizer-v1.a8tok' + vad = ROOT / 'vendor/Audio8-ASR-Infinite/client/vendor/silero_vad.onnx' + executable = ROOT / '.venv-mlx/bin/python' + pins = {str(ROOT / p): h for p, h in candidate['assets'].items()} + dependencies = [Path(__file__), ROOT / 'scripts/silero_qualification_v3.py', + ROOT / 'scripts/probe_native_candidate.py', ROOT / 'scripts/probe_native_stream.py', + ROOT / 'scripts/native_candidate_prefix.py', ROOT / 'scripts/validate_caption_run.py', + ROOT / 'scripts/validate_caption_run_v2.py', ROOT / 'scripts/score_stream_latency.py', + ROOT / 'baseline_probe.py', ROOT / 'run_native_probe.py', BASE / 'qualification.json', + *sorted((source / 'mlx_runtime').glob('*.py'))] + pins.update({str(p): sha(p) for p in dependencies}) + plans = [] + for case in cases: + pcm = Path(case['path']) + require(sha(pcm) == case['sha256'] and pcm.stat().st_size == case['samples'] * 4, + 'input identity differs') + plan_path = BASE / 'segments' / case['id'] / 'segments.json' + plan = json.loads(plan_path.read_text()) + require(plan['case'] == case_binding(case) and plan['qualification_sha256'] == QUALIFICATION_SHA, + 'segment plan identity differs') + expected_report = BASE / 'mlx' / case['id'] / 'run.json' + original = json.loads(expected_report.read_text()) + require(original['status'] == 'complete', 'baseline must be complete') + expected_raw = Path(original['logs']['raw']['path']) + require(sha(expected_raw) == original['logs']['raw']['sha256'], 'baseline log changed') + prior = [json.loads(line) for line in expected_raw.open()] + ids = [r['token_id'] for r in prior if r['kind'] == 'caption_window'] + require(bool(ids), 'empty expected token list') + plans.append((case, plan, ids)) + pins.update({str(p): sha(p) for p in (pcm, plan_path, expected_report, expected_raw)}) + require(all(sha(p) == h for p, h in pins.items()), 'asset identity differs') + args.output.mkdir(parents=True) + plan_path = args.output / 'plan.json' + plan_path.write_text(json.dumps(dict(status='frozen_before_regression', source=str(source), + baseline_qualification_sha256=QUALIFICATION_SHA, cases=[case_binding(c) for c in cases], + pins=pins, profile=candidate['profile']['mlx'], already_evaluated_inputs=True, + fresh_heldout=False, exact_token_parity_required=True, production_ready=False), indent=2) + '\n') + bootstrap = 'import sys; sys.path.insert(0, ' + repr(str(source)) + '); from mlx_runtime.cli import main; main()' + report = dict(status='running', plan_sha256=sha(plan_path), started_unix=time.time(), + already_evaluated_inputs=True, fresh_heldout=False, cases=[]) + campaign = args.output / 'campaign.json' + + def save(): + campaign.write_text(json.dumps(report, indent=2) + '\n') + + save() + for case, plan, expected_ids in plans: + destination = args.output / case['id'] + destination.mkdir() + paths = output_paths(destination / 'run.json') + command = [str(executable), '-c', bootstrap, '--bundle', str(bundle), '--config', str(config), + '--frontend', str(frontend), '--tokenizer', str(tokenizer), '--input', '-', + '--language', case['language'], '--startup', 'realtime18', '--delay-ms', '240', + '--dtype', 'float16', '--cache-dtype', 'bfloat16', '--batch-windows', '2', + '--math-mode', 'compiled', '--fuse-projections', '--warmup-projections', '--silero-vad', str(vad)] + (destination / 'invocation.json').write_text(json.dumps(command, indent=2) + '\n') + result = dict(status='running', case_id=case['id']) + try: + rows, observations, feeder = capture_process(command, Path(case['path']), case['samples'], + paths, timeout_seconds=900, max_events=20000, ready_timeout=120, + ready_kind='caption_stream_ready') + require(rows[0]['weights']['weights_sha256'] == pins[str(bundle / 'model.a8m')] + and rows[0]['batch'] == 2, 'loaded model/profile differs') + result.update(validate(rows, observations, case, tokenizer, frozen_segments=plan['segments'], + expected_ids=expected_ids), feeder=feeder, + memory=parse_time(paths['timing'].read_text(), 'Darwin')) + require(result['all_ids_exact_expected'], 'runtime changed tokens') + except Exception as error: + result.update(status='failed', error=f'{type(error).__name__}: {error}') + result['logs'] = {name: dict(path=str(p), bytes=p.stat().st_size, sha256=sha(p)) + for name, p in paths.items() if name != 'report' and p.exists()} + paths['report'].write_text(json.dumps(result, indent=2, ensure_ascii=False) + '\n') + report['cases'].append(dict(id=case['id'], status=result['status'], + report=str(paths['report']), sha256=sha(paths['report']))) + save() + require(all(sha(p) == h for p, h in pins.items()), 'assets changed during regression') + report.update(status='complete' if all(c['status'] == 'complete' for c in report['cases']) else 'failed', + finished_unix=time.time(), all_assets_unchanged=True, + all_eleven_cases_attempted=len(report['cases']) == 11) + save() + print(json.dumps(dict(status=report['status'], cases=len(report['cases'])))) + + +if __name__ == '__main__': + main() diff --git a/sources/scripts/verify_mlx_q3_memory_regression_v1.py b/sources/scripts/verify_mlx_q3_memory_regression_v1.py new file mode 100644 index 0000000000000000000000000000000000000000..f29a85a90944942053e40d1847e14511c114609a --- /dev/null +++ b/sources/scripts/verify_mlx_q3_memory_regression_v1.py @@ -0,0 +1,106 @@ +"""Independent exact-output and measured-resource comparison on evaluated inputs.""" +from pathlib import Path +import argparse +import hashlib +import json +import math + + +def sha(p): + with Path(p).open('rb') as f: + return hashlib.file_digest(f, 'sha256').hexdigest() + + +def timing_audit(report, rows, observed): + starts = {r['segment']: r['start_sample'] / 16000 for r in rows if r['kind'] == 'caption_segment_start'} + ends = {r['segment']: r['end_sample'] / 16000 for r in rows if r['kind'] == 'caption_segment_end'} + times = {} + for r, o in zip(rows, observed, strict=True): + if r['kind'] == 'caption_text_delta': + times.setdefault(o['received_seconds_since_feeder_start'], set()).add(r['segment']) + supported, outside = [], [] + for word in report['score'].get('alignment', []): + segs = times[word['emitted_seconds']] + assert len(segs) == 1 + seg = next(iter(segs)) + if word['reference_end'] < starts[seg] or word['reference_start'] > ends[seg]: + outside.append(word) + elif word['alignment_unambiguous']: + supported.append(word['lag_from_word_end_seconds']) + supported.sort() + return dict(same_session_unambiguous_matches=len(supported), cross_reset_matches=outside, + maximum_seconds=max(supported) if supported else None, + p95_seconds=supported[math.ceil(.95*len(supported))-1] if supported else None, + over_one_second=sum(d > 1 for d in supported), + omitted_and_substituted_words_remain_errors=True) + + +def main(): + p = argparse.ArgumentParser(description=__doc__) + p.add_argument('--campaign', type=Path, required=True) + args = p.parse_args() + root = Path(__file__).resolve().parents[1] + prior = root / 'reports/mlx-q3-b2-qualification-v1/mlx' + base = args.campaign + output = base / 'verification.json' + assert not output.exists() + campaign = json.loads((base / 'campaign.json').read_text()) + plan = json.loads((base / 'plan.json').read_text()) + assert campaign['status'] == 'complete' and campaign['all_eleven_cases_attempted'] + assert sha(base / 'plan.json') == campaign['plan_sha256'] + assert all(sha(path) == digest for path, digest in plan['pins'].items()) + assert len(campaign['cases']) == 11 + cases = [] + fields = ('index', 'segment', 'segment_index', 'token_id', 'source_dependency_sample', + 'available_source_sample', 'eof_drain', 'cache_bytes', 'rolling_trims', + 'batch_first_index', 'batch_windows', 'batch_offset') + for entry in campaign['cases']: + report_path = Path(entry['report']) + assert sha(report_path) == entry['sha256'] + current = json.loads(report_path.read_text()) + old = json.loads((prior / entry['id'] / 'run.json').read_text()) + assert current['status'] == old['status'] == 'complete' + assert current['all_ids_exact_expected'] + assert current['score']['counts'] == old['score']['counts'] + measurements, window_lists, raw_rows = [], [], [] + for r in (old, current): + for log in r['logs'].values(): + assert sha(log['path']) == log['sha256'] + rows = [json.loads(line) for line in Path(r['logs']['raw']['path']).open()] + windows = [row for row in rows if row['kind'] == 'caption_window'] + window_lists.append(windows) + raw_rows.append(rows) + mature = [w for w in windows if not w['eof_drain'] and + w.get('batch_first_index', w['index']) - (w['index'] - w['segment_index']) >= 375] + measurements.append(dict(memory=r['memory'], mlx_memory=r['summary']['memory'], + mature_windows=len(mature), + mature_work_rtf=sum(w['work_seconds'] for w in mature)/(len(mature)*.08) if mature else None)) + assert [{k: w[k] for k in fields} for w in window_lists[0]] == [ + {k: w[k] for k in fields} for w in window_lists[1]], entry['id'] + observed = [json.loads(line) for line in Path(current['logs']['observed']['path']).open()] + audit = timing_audit(current, raw_rows[1], observed) + cases.append(dict(id=entry['id'], exact_tokens_and_window_schedules=True, + counts=current['score']['counts'], baseline=measurements[0], candidate=measurements[1], + original_alignment_timing=current['score']['aligned_word_timing'], + supplementary_causal_timing=audit)) + peaks = {arm: dict( + rss_bytes=max(c[arm]['memory']['os_peak_process_rss_bytes'] for c in cases), + footprint_bytes=max(c[arm]['memory']['os_peak_memory_footprint_bytes'] for c in cases), + mlx_allocation_bytes=max(c[arm]['mlx_memory']['mlx_peak_bytes'] for c in cases)) + for arm in ('baseline', 'candidate')} + rtf = [c['candidate']['mature_work_rtf'] for c in cases if c['candidate']['mature_work_rtf'] is not None] + report = dict(status='complete_verified_regression', cases=cases, peaks=peaks, + all_eleven_exact_token_and_schedule_parity=True, + measured_mature_rtf_range=[min(rtf), max(rtf)], + all_measured_mature_rtf_under_one=all(x < 1 for x in rtf), + observed_same_session_unambiguous_over_one_second=sum(c['supplementary_causal_timing']['over_one_second'] for c in cases), + already_evaluated_inputs=True, fresh_heldout=False, production_ready=False, + comparison_limit='Serial runs on the same host, not an interleaved controlled speed experiment. OS footprint and RSS are distinct from MLX allocation. Errors and alignment ambiguity are retained.', + plan_sha256=sha(base / 'plan.json'), campaign_sha256=sha(base / 'campaign.json'), script_sha256=sha(__file__)) + output.write_text(json.dumps(report, indent=2) + '\n') + print(json.dumps({k: report[k] for k in ('status', 'peaks', 'measured_mature_rtf_range', + 'observed_same_session_unambiguous_over_one_second')})) + + +if __name__ == '__main__': + main()