text:
Download dependencies error

Hello,
We have tried on 2 different computers, one with 3D slicer version 5.0.3 and one with 5.1.0-2022-08-16.
We install with the extension manager.  VTMK, MtM, SEEE and MONAI are all installed successfully.  When we go to RVX Liver Segmentation and press "Download dependencies and restart", the Processing window hangs.

The error log reports the following:

Traceback (most recent call last):
File "C:/ProgramData/NA-MIC/Slicer 5.1.0-2022-08-16/NA-MIC/Extensions-31110/RVesselX/lib/Slicer-5.1/qt-scripted-modules/RVXLiverSegmentation.py", line 165, in downloadDependenciesAndRestart
meta_data = slicer.app.extensionsManagerModel().retrieveExtensionMetadataByName(slicerExt)
AttributeError: qSlicerExtensionsManagerModel has no attribute named 'retrieveExtensionMetadataByName'

Hi @Pixellett.
Thank you for your bug report and your interest for our extension.
I have just pushed a fix for this issue which will resolve the problem for Slicer 5.0.3 and up.
If you want to test these changes on your end, you can download the extension directly from github and follow the following documentation to manually install the extension : https://github.com/R-Vessel-X/SlicerRVXLiverSegmentation#manually-installing-the-plugin
Please note that as Slicer 5.1.0-2022-08-16 is in prerelease, the extension install can be a little unstable. I would advise to test the extension using Slicer's official release.
Please let me know if you have any further problem with installing or running the extension.
Best,
Thibault

authors: Pixellett Thibault-Pelletier

repo: R-Vessel-X/SlicerRVXLiverSegmentation


text:
file miss

Platform

[ ] Android
[ ] iOS

What react-native version are you using?
Issue details

thanks for the package, but after I clone it to my computer,I found  BasicExample.html is inexistence

@Xixi20160512 please run npm run build and npm run examples:build

source: gharchive/issue

license: mit

license_type: permissive

license_source: bigquery


text:
status command is broken since v1.10.0 release

Probably broke in refactor.

Apparently ping is broken too.

Fixed by #316

license: MIT

license_source: github-api


text:
Impossible to change Profile picture

Hello,
When I'm trying to change the profile picture, I have an issue, it's impossible.
Hope this helps:

Have a nice day!

Hey,
could you add more details?
What browser do you use? (any plugins/extensions)
Does anything happen when you try to change it?

Oh, sorry, of course!
What browser do you use?
Firefox
(any plugins/extensions)
uBlock. Only. I also tried disabling it. It doesn't change anything. In incognito mode too.
Does anything happen when you try to change it? Nothing, only this message:

Ok, I'm not sure what might be the issue. Do you self-host using docker compose?
Could you try changing avatar on our 'work in progress' demo instance at https://demo.4gaboards.com/ and let me know if it's working there for you?
User: demo
Password: demo

Do you self-host using docker compose?
That's correct.
Oh, wait, I'm just dumb! I understand now...
I was fooled by the window at the bottom, I thought it was a hint and not something to click on.

-_-'
I thought that it would directly ask me to choose my profile image.

Ahh I see. Good that you figured it out. Maybe the translation is not accurate (In English there is "Upload new avatar")?
When you have avatar uploaded, it shows an additional option - delete avatar.
It's very similar to the one on Github:

I'll think about this.

Indeed, I understood that afterwards. Sorry for the false alarm.

authors: RARgames zarevskaya


text:
Cannot install on Ubuntu 20.04

This is the error that I am getting.
request to https://api.github.com/repos/REMnux/salt-states/releases failed, reason: connect ETIMEDOUT 140.82.114.6:443
HttpError: request to https://api.github.com/repos/REMnux/salt-states/releases failed, reason: connect ETIMEDOUT 140.82.114.6:443
at /snapshot/remnux-cli/node_modules/@octokit/request/dist-node/index.js:107:11
at processTicksAndRejections (internal/process/task_queues.js:97:5)
at async getValidReleases (/snapshot/remnux-cli/remnux-cli.js:293:18)
at async run (/snapshot/remnux-cli/remnux-cli.js:762:21)
at async main (/snapshot/remnux-cli/remnux-cli.js:778:5)

Hi @eyMiko , it looks like you have either a network connection problem, or you likely might be behind a proxy. If you believe you are behind a proxy, take a look at the docs here and this might help the install succeed.

authors: digitalsleuth eyMiko

repo: REMnux/remnux-cli


text:
Store datapoints somewhere

For future use. E.g. visualizations, graphs etc.
Aim for cheapest storage mechanisms

Potentially just a csv file for now, stored in some GitHub repo? Though that would mean I need GitHub credentials there. Maybe in S3? Read and then write. Probably won't get too big for a while.

DynamoDB actually has some free storage options

If the format is an issue, I can always migrate out of it fairly simply.

Ok I've updated the tables with the existing data


text:
bug：Import contract (id) error in win environment

win
PS D:\rgb20-usdt>  rgb -d .alice create default tpubDCRYBMFMJcwYAd7g7GEdNzTnqg7k8wE2PQZ6NgXq2tJER3aWSK4sRNpje4nnvxC9Ffs2borWAgdQMDi8J8b4sXBQNqMnFxVWWVA6BswzWAgdQMDi8J8b4sXBQNqMnFxVWWVA6BswzGyU
Stock file not found, creating default stock
Wallet file not found, creating new wallet list
Created new wallet 'default' with descriptor 'tapret(tpubDCRYBMFMJcwYAd7g7GEdNzTnqg7k8wE2PQZ6NgXq2tJER3aWSK4sRNpje4nnvxC9Ffs2borWAgdQMDi8J8b4sXBQNqMnFxVWWVA6BswzGyUdQMDi8J8b4sXBQNqMnFxVWWVA6BswzGyU, ...)'
PS D:\rgb20-usdt>  rgb -d .bob create default tpubDCeaDjmVbxPkLxvXgmdsTjGF55WWL4Kf1Z64eQstJAyqQ7DaBD9DDGo7Q26yxww5ifbFuELZcmxnM8LkJ1Xmij6itneguA5VKcqc5YbMbjmxnM8LkJ1Xmij6itneguA5VKcqc5YbMbjz
Stock file not found, creating default stock
Wallet file not found, creating new wallet list
Created new wallet 'default' with descriptor 'tapret(tpubDCeaDjmVbxPkLxvXgmdsTjGF55WWL4Kf1Z64eQstJAyqQ7DaBD9DDGo7Q26yxww5ifbFuELZcmxnM8LkJ1Xmij6itneguA5VKcqc5YbMbjzxnM8LkJ1Xmij6itneguA5VKcqc5YbMbjz, ...)'
PS D:\rgb20-usdt> rgb -d .alice import contracts/rgb20-usdt.contract.rgb
Contract rgb:s6syetq-eN85tdbpb-hBut9K6F3-uFfjVZsJ6-WVYGv6FXa-UTwCnp imported to the stash
PS D:\rgb20-usdt> rgb -d .bob import contracts/rgb20-usdt.contract.rgb
Contract rgb:s6syetq-eN85tdbpb-hBut9K6F3-uFfjVZsJ6-WVYGv6FXa-UTwCnp imported to the stash
PS D:\rgb20-usdt>  rgb -d .alice contracts
rgb:JMDUCWz-q1uGbmJEt-C4Hg2tqXa-BEzuCB8TG-2Vq5cfCas-RaF13k
PS D:\rgb20-usdt> rgb -d .bob contracts
rgb:2cG7m1E-U1BCYbYAU-rNJGg82h9-agzXPX8xf-HP4fNPiZJ-SDyXzX6
PS D:\rgb20-usdt>

linux :
root@LAPTOP-NRHB1K5B:/mnt/d/rgb20-usdt# rgb -d .alice contracts
rgb:JMDUCWz-q1uGbmJEt-C4Hg2tqXa-BEzuCB8TG-2Vq5cfCas-RaF13k
root@LAPTOP-NRHB1K5B:/mnt/d/bitmask/rgb20-usdt# rgb -d .bob contracts
rgb:2cG7m1E-U1BCYbYAU-rNJGg82h9-agzXPX8xf-HP4fNPiZJ-SDyXzX6
root@LAPTOP-NRHB1K5B:/mnt/d/rgb20-usdt# rgb -d .alice import contracts/rgb20-usdt.contract.rgb
Contract rgb:s6syetq-eN85tdbpb-hBut9K6F3-uFfjVZsJ6-WVYGv6FXa-UTwCnp imported to the stash
root@LAPTOP-NRHB1K5B:/mnt/d/rgb20-usdt#  rgb -d .bob import contracts/rgb20-usdt.contract.rgb
Contract rgb:s6syetq-eN85tdbpb-hBut9K6F3-uFfjVZsJ6-WVYGv6FXa-UTwCnp imported to the stash
root@LAPTOP-NRHB1K5B:/mnt/d/rgb20-usdt# rgb -d .alice contracts
rgb:JMDUCWz-q1uGbmJEt-C4Hg2tqXa-BEzuCB8TG-2Vq5cfCas-RaF13k
rgb:s6syetq-eN85tdbpb-hBut9K6F3-uFfjVZsJ6-WVYGv6FXa-UTwCnp
root@LAPTOP-NRHB1K5B:/mnt/d/rgb20-usdt# rgb -d .bob contracts
rgb:s6syetq-eN85tdbpb-hBut9K6F3-uFfjVZsJ6-WVYGv6FXa-UTwCnp
rgb:2cG7m1E-U1BCYbYAU-rNJGg82h9-agzXPX8xf-HP4fNPiZJ-SDyXzX6
root@LAPTOP-NRHB1K5B:/mnt/d/rgb20-usdt#

After importing the contract in the Win environment, using the specified wallet to view it, it was found that the contract ID is incorrect, and the same contract can be imported repeatedly

Very strange bug, thank you for finding and reporting!

I finally found out that there was an issue with the compilation contract in the Windows environment. Switch to Linux and recompile to import normally.

I have found a problem that compiled contracts in the Windows environment may also encounter issues when imported into the Linux environment

repo: RGB-WG/rgb


text:
test: Add kcli to test the scripts

Using kcli [1]  is possible to test cmdline + ignition (patched) + MC.
This change add a kcli directory with scripts to start it up.

@phoracek

source: gharchive/pull-request

repo: RHsyseng/rhcos-slb


text:
🛑 RC Documentation is down

In a57e4d2, RC Documentation ($URL_RC_DOCUMENTATION) was down:

HTTP code: 0
Response time: 0 ms

Resolved: RC Documentation is back up in b8f93c6 after 23 minutes.

repo: RIT-RC/rc-status-page


text:
🛑 Sensor Tracker login is down

In 33c97a2, Sensor Tracker login (https://stg.ceotr.ca/sensor_tracker) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Sensor tracker login is back up in d1ee1ff after .

repo: RKTowse/upptime


text:
🛑 Sensor Tracker login is down

In 335a9ae, Sensor Tracker login (https://stg.ceotr.ca/sensor_tracker) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Sensor tracker login is back up in f4788ee after 1 minute.


text:
🛑 CEOTR Home Page loads is down

In f6cf2d4, CEOTR Home Page loads (https://stg.ceotr.ca CEOTR Home) was down:

HTTP code: 0
Response time: 0 ms

Resolved: CEOTR Home Page loads is back up in 68d81e6 after 2 minutes.


text:
🛑 CEOTR Home Page loads is down

In 8016c24, CEOTR Home Page loads (https://stg.ceotr.ca CEOTR Home) was down:

HTTP code: 0
Response time: 0 ms

Resolved: CEOTR Home Page loads is back up in 0251c68.


text:
🛑 CEOTR Home Page loads is down

In 040b0d4, CEOTR Home Page loads (https://stg.ceotr.ca CEOTR Home) was down:

HTTP code: 0
Response time: 0 ms

Resolved: CEOTR Home Page loads is back up in 36a41a8.


text:
🛑 Sensor Tracker login is down

In 8b8b4b3, Sensor Tracker login (https://stg.ceotr.ca/sensor_tracker) was down:

HTTP code: 502
Response time: 43 ms

Resolved: Sensor tracker login is back up in 16c05a9.


text:
🛑 Sensor Tracker login is down

In f0d297d, Sensor Tracker login (https://stg.ceotr.ca/sensor_tracker) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Sensor tracker login is back up in ffdf796 after .


text:
🛑 Sensor Tracker login is down

In 5407b76, Sensor Tracker login (https://stg.ceotr.ca/sensor_tracker) was down:

HTTP code: 502
Response time: 47 ms

Resolved: Sensor tracker login is back up in 651cf46.


text:
🛑 CEOTR Home Page loads is down

In d8b9be8, CEOTR Home Page loads (https://stg.ceotr.ca CEOTR Home) was down:

HTTP code: 0
Response time: 0 ms

Resolved: CEOTR Home Page loads is back up in 12c0ea0.


text:
🛑 CEOTR Home Page loads is down

In 22a1f65, CEOTR Home Page loads (https://stg.ceotr.ca CEOTR Home) was down:

HTTP code: 0
Response time: 0 ms

Resolved: CEOTR Home Page loads is back up in 280c9ec after 2 minutes.


text:
🛑 Sensor Tracker login is down

In eb5925b, Sensor Tracker login (https://stg.ceotr.ca/sensor_tracker) was down:

HTTP code: 502
Response time: 126 ms

Resolved: Sensor tracker login is back up in 66fb0f5.


text:
🛑 CEOTR Home Page loads is down

In aba2c91, CEOTR Home Page loads (https://stg.ceotr.ca CEOTR Home) was down:

HTTP code: 0
Response time: 0 ms

Resolved: CEOTR Home Page loads is back up in 0ef6f7a.


text:
🛑 CEOTR Home Page loads is down

In b4e1998, CEOTR Home Page loads (https://stg.ceotr.ca CEOTR Home) was down:

HTTP code: 0
Response time: 0 ms

Resolved: CEOTR Home Page loads is back up in 7dfda49 after 36 days, 4 hours, 7 minutes.


text:
🛑 CEOTR Home Page loads is down

In 0223513, CEOTR Home Page loads (https://stg.ceotr.ca CEOTR Home) was down:

HTTP code: 0
Response time: 0 ms

Resolved: CEOTR Home Page loads is back up in 8ea161a after 40 days, 11 hours, 51 minutes.


text:
Marine Armor light can be turned back on while devoured

Description
Devouring normally turns the devoured marine's armor light off, however, marines can just turn it right back on again as soon as they are actionable with the knife. Unsure of what is parity, but this seems unintended as it makes devouring turning off the light fairly pointless.
Reproduction

Get devoured as marine
Wait a few seconds until you can pull out your knife
Press the armor light toggle hotkey/button

Dupe of #3896

authors: Rainbeon Vermidia


text:
Squad room doors are not locked to the relevant squads.

Description
Squad room doors are not locked to the relevant squads (they're all access), in CM parity only the relevant squad can open their own doors.
Reproduction
Attempt to open any squad room double door without an ID.
Screenshots
N/A
Additional context
CM parity.
Relevant to - #2393

Double doors in general do not currently function with access locking #3737

Closing as said it's a double door issue that's tracked in 3737

authors: Rainbeon Vermidia troytroy400


text:
Unable to get data from realsense sensor on waffle (using rostopic echo /camera/depth/points)

turtlebot3@turtlebot3:~$ rostopic echo /camera/depth/points --> does not give any data
turtlebot3@turtlebot3:~$ rostopic echo /camera/depth/image_raw --> works fine.
I brought up the realsense sensor using the following bringup command:
turtlebot3@turtlebot3:~$ roslaunch turtlebot3_bringup turtlebot3_realsense.launch
... logging to /home/turtlebot3/.ros/log/50d0066c-1356-11e8-861b-a0c589238c19/roslaunch-turtlebot3-2868.log
Checking log directory for disk usage. This may take awhile.
Press Ctrl-C to interrupt
Done checking log file disk usage. Usage is <1GB.

started roslaunch server http://172.31.28.61:41062/

SUMMARY
========

PARAMETERS
 * /camera/driver/base_frame_id: camera_link
 * /camera/driver/camera_type: R200
 * /camera/driver/color_fps: 30
 * /camera/driver/color_frame_id: camera_rgb_frame
 * /camera/driver/color_optical_frame_id: camera_rgb_optica...
 * /camera/driver/depth_frame_id: camera_depth_frame
 * /camera/driver/depth_optical_frame_id: camera_depth_opti...
 * /camera/driver/fisheye_frame_id: camera_fisheye_frame
 * /camera/driver/fisheye_optical_frame_id: camera_fisheye_op...
 * /camera/driver/imu_frame_id: camera_imu_frame
 * /camera/driver/imu_optical_frame_id: camera_imu_optica...
 * /camera/driver/ir2_frame_id: camera_ir2_frame
 * /camera/driver/ir2_optical_frame_id: camera_ir2_optica...
 * /camera/driver/ir_frame_id: camera_ir_frame
 * /camera/driver/ir_optical_frame_id: camera_ir_optical...
 * /camera/driver/mode: manual
 * /camera/driver/serial_no:
 * /camera/driver/usb_port_id:
 * /rosdistro: kinetic
 * /rosversion: 1.12.12

NODES
  /camera/
    driver (nodelet/nodelet)
    nodelet_manager (nodelet/nodelet)

ROS_MASTER_URI=http://172.31.28.61:11311

process[camera/nodelet_manager-1]: started with pid [2885]
process[camera/driver-2]: started with pid [2886]
[ INFO] [1518812254.190159108]: Initializing nodelet with 4 worker threads.
Intel RealSense F200_camera ; 2.60.0.0
Intel RealSense LR200_camera ; 2.0.71.18
Intel RealSense R200_camera ; 1.0.72.06
Intel RealSense SR300_camera ; 3.10.10.0
Intel RealSense ZR300_adapter ; 1.29.0.0
Intel RealSense ZR300_camera ; 2.0.71.28
Intel RealSense ZR300_motion_module ; 1.25.0.0
[ INFO] [1518812254.811450832]: /camera/driver - Detected the following camera:
				- Serial No: 2471011859, USB Port ID: 2-2-4, Name: Intel RealSense R200, Camera FW: 1.0.72.06
[ INFO] [1518812254.811520164]: /camera/driver - Connecting to camera with Serial No: 2471011859, USB Port ID: 2-2-4
[ INFO] [1518812255.421812555]: /camera/driver - Setting static camera options
[ INFO] [1518812255.451077191]: /camera/driver - Enabling Depth in manual mode
[ INFO] [1518812255.586311178]: /camera/driver - Enabling Color in manual mode
[ INFO] [1518812255.587009954]: /camera/driver - Starting camera
[ INFO] [1518812255.617121353]: /camera/driver - Publishing camera transforms (/tf_static)
[ INFO] [1518812255.617605488]: /camera/driver - Setting dynamic camera options (r200_dc_preset=5)
[ INFO] [1518812256.376554156]: /camera/driver - Initializing Depth Control Preset to 5
[ INFO] [1518812259.940438546]: /camera/driver - Setting dynamic camera options

@mw-sandipk
Hi,
sorry for the late reply.
This issue seems to be able to be solved by https://github.com/intel-ros/realsense/issues
How about asking them

This issue will be closed since there were no actions for a while. You can reopen this issue to show this issue to the users whenever. Thanks.

authors: ROBOTIS-Leon mw-sandipk robotpilot


text:
Hang when trajectory array has under 10 points

Line51 has made "steps" zero when jnt_tra_pts_size is less than 10. This cause crash because of infinite push_back.
these commits fix this problem and publish the last points of any size trajectory_points.

Hi @nabeya11
I'm sorry about the delayed review on your PR.
I'll review this and merge by this week.
Happy holiday and wish you a happy new year!


text:
install.sh: 'rename' is not installed by default on ubuntu

So a small change is needed in install.sh, line 28:

sudo apt-get install dpkg-dev rpm doxygen libelf-dev

sudo apt-get install dpkg-dev rpm doxygen libelf-dev rename

Thanks for submitting the patch. Closing this since the PR has been merged.

authors: VincentSC mangupta

repo: ROCm-Developer-Tools/HIP


text:
Wrap fPIC under xCompiler for nvcc

passing -fPIC to hipcc is broken on nvcc HIP_PLATFORM. nvcc does not understand -fPIC and throws error. nvcc accepts -fPIC using -Xcompiler=-fPIC flag. PR here fixes this.

Closing all existing pull requests that do not target the develop branch. In case this pull request is still valid, please rebase your changes against develop branch and resubmit.

authors: lashgar mangupta


text:
Performance expectations?

I didn’t see any performance number quoted in the docs.  What are the performance expectations for using the SHMEM on ROCm.  Do you have any benchmarks you can share?
Thx

We do not have numbers to share at this time. However, the example tests report performance numbers.

authors: khamidouche maddyscientist


text:
[Issue]: tensor flow 2.12 with ROCm 5.7 does not work with 7900xtx

Problem Description

Using PopOS 22 LTS
installed amdgpu with room support
via docker, installed "rocm/tensorflow:latest"
Started container with: sudo docker run -it --network=host --device=/dev/kfd --device=/dev/dri --ipc=host --shm-size 16G --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined rocm/tensorflow:latest
Ran the following script inside of the container:

import tensorflow as tf
import sys

print(f'tensorflow version: {tf.version.VERSION}')

gpus = tf.config.list_physical_devices('GPU')
print(gpus)
if gpus:
  try:
    for gpu in gpus:
      tf.config.experimental.set_memory_growth(gpu, True)
  except RuntimeError as e:
    print(e)
else:
  print("No GPU found!!!!")
  sys.exit(1)

print("GPUs are supported!!!!")

Debug that prints out:
root@pop-os:/root# python test.py
2023-11-19 02:45:32.259010: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2023-11-19 02:45:32.279599: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations.
To enable the following instructions: SSE3 SSE4.1 SSE4.2 AVX AVX2 AVX512F AVX512_VNNI AVX512_BF16 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags.
tensorflow version: 2.13.0
2023-11-19 02:45:33.740542: I tensorflow/compiler/xla/stream_executor/rocm/rocm_gpu_executor.cc:838] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-19 02:45:33.740588: I tensorflow/compiler/xla/stream_executor/rocm/rocm_gpu_executor.cc:838] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-19 02:45:33.749397: I tensorflow/compiler/xla/stream_executor/rocm/rocm_gpu_executor.cc:838] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-19 02:45:33.749428: I tensorflow/compiler/xla/stream_executor/rocm/rocm_gpu_executor.cc:838] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-19 02:45:33.749446: I tensorflow/compiler/xla/stream_executor/rocm/rocm_gpu_executor.cc:838] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-19 02:45:33.749457: I tensorflow/core/common_runtime/gpu/gpu_device.cc:2015] Ignoring visible gpu device (device: 0, name: , pci bus id: 0000:03:00.0) with AMDGPU version : gfx1100. The supported AMDGPU versions are gfx1030, gfx900, gfx906, gfx908, gfx90a, gfx940, gfx941, gfx942.
2023-11-19 02:45:33.749470: I tensorflow/compiler/xla/stream_executor/rocm/rocm_gpu_executor.cc:838] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2023-11-19 02:45:33.749477: I tensorflow/core/common_runtime/gpu/gpu_device.cc:2015] Ignoring visible gpu device (device: 1, name: , pci bus id: 0000:13:00.0) with

It seems to see my iGPU on my 7950x and sees the 7900XTX.
Operating System
PopOS
CPU
Ryzen 7950x
GPU
7900 XTX
ROCm Version
5.7.0
ROCm Component
No response
Steps to Reproduce
No response
Output of /opt/rocm/bin/rocminfo --support
ROCk module is loaded
HSA System Attributes
Runtime Version:         1.1
System Timestamp Freq.:  1000.000000MHz
Sig. Max Wait Duration:  18446744073709551615 (0xFFFFFFFFFFFFFFFF) (timestamp count)
Machine Model:           LARGE
System Endianness:       LITTLE
Mwaitx:                  DISABLED
DMAbuf Support:          NO
==========
HSA Agents

Agent 1

Name:                    AMD Ryzen 9 7950X 16-Core Processor
Uuid:                    CPU-XX
Marketing Name:          AMD Ryzen 9 7950X 16-Core Processor
Vendor Name:             CPU
Feature:                 None specified
Profile:                 FULL_PROFILE
Float Round Mode:        NEAR
Max Queue Number:        0(0x0)
Queue Min Size:          0(0x0)
Queue Max Size:          0(0x0)
Queue Type:              MULTI
Node:                    0
Device Type:             CPU
Cache Info:
L1:                      32768(0x8000) KB
Chip ID:                 0(0x0)
ASIC Revision:           0(0x0)
Cacheline Size:          64(0x40)
Max Clock Freq. (MHz):   4500
BDFID:                   0
Internal Node ID:        0
Compute Unit:            32
SIMDs per CU:            0
Shader Engines:          0
Shader Arrs. per Eng.:   0
WatchPts on Addr. Ranges:1
Features:                None
Pool Info:
Pool 1
Segment:                 GLOBAL; FLAGS: FINE GRAINED
Size:                    97982308(0x5d71764) KB
Allocatable:             TRUE
Alloc Granule:           4KB
Alloc Alignment:         4KB
Accessible by all:       TRUE
Pool 2
Segment:                 GLOBAL; FLAGS: KERNARG, FINE GRAINED
Size:                    97982308(0x5d71764) KB
Allocatable:             TRUE
Alloc Granule:           4KB
Alloc Alignment:         4KB
Accessible by all:       TRUE
Pool 3
Segment:                 GLOBAL; FLAGS: COARSE GRAINED
Size:                    97982308(0x5d71764) KB
Allocatable:             TRUE
Alloc Granule:           4KB
Alloc Alignment:         4KB
Accessible by all:       TRUE
ISA Info:

Agent 2

Name:                    gfx1100
Uuid:                    GPU-a1b94a5100000000
Marketing Name:
Vendor Name:             AMD
Feature:                 KERNEL_DISPATCH
Profile:                 BASE_PROFILE
Float Round Mode:        NEAR
Max Queue Number:        128(0x80)
Queue Min Size:          64(0x40)
Queue Max Size:          131072(0x20000)
Queue Type:              MULTI
Node:                    1
Device Type:             GPU
Cache Info:
L1:                      32(0x20) KB
L2:                      6144(0x1800) KB
L3:                      98304(0x18000) KB
Chip ID:                 29772(0x744c)
ASIC Revision:           0(0x0)
Cacheline Size:          64(0x40)
Max Clock Freq. (MHz):   2526
BDFID:                   768
Internal Node ID:        1
Compute Unit:            96
SIMDs per CU:            2
Shader Engines:          6
Shader Arrs. per Eng.:   2
WatchPts on Addr. Ranges:4
Features:                KERNEL_DISPATCH
Fast F16 Operation:      TRUE
Wavefront Size:          32(0x20)
Workgroup Max Size:      1024(0x400)
Workgroup Max Size per Dimension:
x                        1024(0x400)
y                        1024(0x400)
z                        1024(0x400)
Max Waves Per CU:        32(0x20)
Max Work-item Per CU:    1024(0x400)
Grid Max Size:           4294967295(0xffffffff)
Grid Max Size per Dimension:
x                        4294967295(0xffffffff)
y                        4294967295(0xffffffff)
z                        4294967295(0xffffffff)
Max fbarriers/Workgrp:   32
Packet Processor uCode:: 510
SDMA engine uCode::      19
IOMMU Support::          None
Pool Info:
Pool 1
Segment:                 GLOBAL; FLAGS: COARSE GRAINED
Size:                    25149440(0x17fc000) KB
Allocatable:             TRUE
Alloc Granule:           4KB
Alloc Alignment:         4KB
Accessible by all:       FALSE
Pool 2
Segment:                 GLOBAL; FLAGS:
Size:                    25149440(0x17fc000) KB
Allocatable:             TRUE
Alloc Granule:           4KB
Alloc Alignment:         4KB
Accessible by all:       FALSE
Pool 3
Segment:                 GROUP
Size:                    64(0x40) KB
Allocatable:             FALSE
Alloc Granule:           0KB
Alloc Alignment:         0KB
Accessible by all:       FALSE
ISA Info:
ISA 1
Name:                    amdgcn-amd-amdhsa--gfx1100
Machine Models:          HSA_MACHINE_MODEL_LARGE
Profiles:                HSA_PROFILE_BASE
Default Rounding Mode:   NEAR
Default Rounding Mode:   NEAR
Fast f16:                TRUE
Workgroup Max Size:      1024(0x400)
Workgroup Max Size per Dimension:
x                        1024(0x400)
y                        1024(0x400)
z                        1024(0x400)
Grid Max Size:           4294967295(0xffffffff)
Grid Max Size per Dimension:
x                        4294967295(0xffffffff)
y                        4294967295(0xffffffff)
z                        4294967295(0xffffffff)
FBarrier Max Size:       32

Agent 3

Name:                    gfx1036
Uuid:                    GPU-XX
Marketing Name:
Vendor Name:             AMD
Feature:                 KERNEL_DISPATCH
Profile:                 BASE_PROFILE
Float Round Mode:        NEAR
Max Queue Number:        128(0x80)
Queue Min Size:          64(0x40)
Queue Max Size:          131072(0x20000)
Queue Type:              MULTI
Node:                    2
Device Type:             GPU
Cache Info:
L1:                      16(0x10) KB
L2:                      256(0x100) KB
Chip ID:                 5710(0x164e)
ASIC Revision:           1(0x1)
Cacheline Size:          64(0x40)
Max Clock Freq. (MHz):   2200
BDFID:                   4864
Internal Node ID:        2
Compute Unit:            2
SIMDs per CU:            2
Shader Engines:          1
Shader Arrs. per Eng.:   1
WatchPts on Addr. Ranges:4
Features:                KERNEL_DISPATCH
Fast F16 Operation:      TRUE
Wavefront Size:          32(0x20)
Workgroup Max Size:      1024(0x400)
Workgroup Max Size per Dimension:
x                        1024(0x400)
y                        1024(0x400)
z                        1024(0x400)
Max Waves Per CU:        32(0x20)
Max Work-item Per CU:    1024(0x400)
Grid Max Size:           4294967295(0xffffffff)
Grid Max Size per Dimension:
x                        4294967295(0xffffffff)
y                        4294967295(0xffffffff)
z                        4294967295(0xffffffff)
Max fbarriers/Workgrp:   32
Packet Processor uCode:: 20
SDMA engine uCode::      1
IOMMU Support::          None
Pool Info:
Pool 1
Segment:                 GLOBAL; FLAGS: COARSE GRAINED
Size:                    524288(0x80000) KB
Allocatable:             TRUE
Alloc Granule:           4KB
Alloc Alignment:         4KB
Accessible by all:       FALSE
Pool 2
Segment:                 GLOBAL; FLAGS:
Size:                    524288(0x80000) KB
Allocatable:             TRUE
Alloc Granule:           4KB
Alloc Alignment:         4KB
Accessible by all:       FALSE
Pool 3
Segment:                 GROUP
Size:                    64(0x40) KB
Allocatable:             FALSE
Alloc Granule:           0KB
Alloc Alignment:         0KB
Accessible by all:       FALSE
ISA Info:
ISA 1
Name:                    amdgcn-amd-amdhsa--gfx1036
Machine Models:          HSA_MACHINE_MODEL_LARGE
Profiles:                HSA_PROFILE_BASE
Default Rounding Mode:   NEAR
Default Rounding Mode:   NEAR
Fast f16:                TRUE
Workgroup Max Size:      1024(0x400)
Workgroup Max Size per Dimension:
x                        1024(0x400)
y                        1024(0x400)
z                        1024(0x400)
Grid Max Size:           4294967295(0xffffffff)
Grid Max Size per Dimension:
x                        4294967295(0xffffffff)
y                        4294967295(0xffffffff)
z                        4294967295(0xffffffff)
FBarrier Max Size:       32

The only way I know of how to get TensorFlow to work is to build from the source. Disable iGPU from BIOS and run the following script to build from r2.14 from the source.

Hi @jcnelson30, are you able to get TensorFlow to work with 7900xtx?  Thanks.

Closing this ticket as no response from @jcnelson30.  Please re-open if you still see the issue with latest ROCm 6.0.2.  Thanks.

AMD should prepare a binary package that works with 7900XTX. Even the latest docker (ex. docker pull rocm/tensorflow:rocm6.0-tf2.14-dev) does not work on 7900XTX due to https://github.com/ROCm/tensorflow-upstream/pull/2191/files.
The master branch has the fix. Other branches (ex. r2.14-rocm-enhanced) still needs the fix.

Thank you @briansp2020 for your feedback.  I will pass your suggestion to the internal team.  Thanks.

repo: ROCm/ROCm


text:
Tune Aquavanjaram942 HHS NN TN NT GEMM sizes equality and grid based

Tuned HHS TN, NN, NT GEMM sizes with ~17% improvement.
2 Grid point sizes updated and 8 equality size kernels added.

hiPBLAS-test results
[----------] 1 test from ExtOpTest/ExtOpAMaxUnsupportedDatatypeTest
[ RUN      ] ExtOpTest/ExtOpAMaxUnsupportedDatatypeTest.amaxFailureUnsupportedDatatype/0
[       OK ] ExtOpTest/ExtOpAMaxUnsupportedDatatypeTest.amaxFailureUnsupportedDatatype/0 (0 ms)
[----------] 1 test from ExtOpTest/ExtOpAMaxUnsupportedDatatypeTest (0 ms total)
[----------] 1 test from ExtOpTest/ExtOpAMaxWithScaleUnsupportedDatatypeTest
[ RUN      ] ExtOpTest/ExtOpAMaxWithScaleUnsupportedDatatypeTest.amaxWithScaleFailureUnsupportedDatatype/0
[       OK ] ExtOpTest/ExtOpAMaxWithScaleUnsupportedDatatypeTest.amaxWithScaleFailureUnsupportedDatatype/0 (0 ms)
[----------] 1 test from ExtOpTest/ExtOpAMaxWithScaleUnsupportedDatatypeTest (0 ms total)
[----------] Global test environment tear-down
[==========] 48206 tests from 13 test suites ran. (1419771 ms total)
[  PASSED  ] 48206 tests.
hipBLASLt version: 1000

Thanks Koji ! added 1 more grid size kernel that was missed. Also verify log updated with trig_float init.

@KKyang
Please check this PR again.
Thanks.

repo: ROCm/hipBLASLt


text:
gfx12 - since compiler has wrong result with s_barrier, replace by s_…

…barrier_wait to check arch capability

locally verify on navi4 and gfx90a


text:
Refactor gmxhr

Little bit of refactoring because I dislike the interface of GM_xmlhttpRequest and since we're using a wrapper, we can do better.

Make the method parameter optional, default to GET since that'll be used most often.
Move the url to a separate parameter, since it's always required anyway, whereas other options might not be. Also accept URL instances.

I dislike the interface of GM_xmlhttpRequest

Me too, I have simply used fetch for my userscripts so far. It works flawlessly in a current browser with ViolentMonkey (and probably also in TamperMonkey, not sure whether I had already tested that).

fetch is great but I don't think it'd work properly for most of these requests because of CORS :( I'm still using fetch for requests to /ws/ and other MB pages though.

authors: ROpdebee kellnerd

repo: ROpdebee/mb-userscripts


text:
[VkBridge] Save internal links in posts and get hashtags before making item

Before
After

https://feed.eugenemolotov.ru/?action=display&bridge=Vk&u=wall-72028042_4225&format=Html
https://feed.eugenemolotov.ru/vk-overdue-patch/?action=display&bridge=Vk&u=wall-72028042_4225&format=Html
https://feed.eugenemolotov.ru/?action=display&bridge=Vk&u=wall-156278021_9131&format=Html
https://feed.eugenemolotov.ru/vk-overdue-patch/?action=display&bridge=Vk&u=wall-156278021_9131&format=Html

Thanks for the update !

repo: RSS-Bridge/rss-bridge

license: unlicense


text:
🛑 Landing is down

In 34d38be, Landing (https://rtuitlab.dev) was down:

HTTP code: 0
Response time: 0 ms

Resolved: Landing is back up in 12ebc34.

repo: RTUITLab/upptime


text:
replug has a small bug

Hello,
There is a tiny bug when running replug.
the error is below:
Loading dataset shards: 100%|████████████████████████████████████████████████████| 28/28 [00:00<00:00, 93.61it/s]
Loading checkpoint shards: 100%|███████████████████████████████████████████████████| 4/4 [00:02<00:00,  1.97it/s]
Traceback (most recent call last):
  File "/workspace/FlashRAG/examples/methods/run_exp.py", line 562, in <module>
    func(args)
  File "/workspace/FlashRAG/examples/methods/run_exp.py", line 286, in replug
    pipeline = REPLUGPipeline(config)
  File "/workspace/FlashRAG/flashrag/pipeline/branching_pipeline.py", line 20, in __init__
    self.generator = get_generator(config, model=model)
  File "/workspace/FlashRAG/flashrag/utils/utils.py", line 33, in get_generator
    return getattr(importlib.import_module("flashrag.generator"), "VLLMGenerator")(config, **params)
TypeError: VLLMGenerator.__init__() got an unexpected keyword argument 'model'

Can you take a look? Thank you so much.

This is not a bug. Since replug need a custom logit execution function, the vllm framework is currently not supported. Change framework to hf or fschat.

Hi, sorry I didn't think carefully on it.
Switching to hf or fschat works.

authors: codecodebear ignorejjj

repo: RUC-NLPIR/FlashRAG


text:
Pitch extract and one-click training error: Kernel size can't be greater than actual input size

I have tested this on 2 different computers, and I can almost confirm that it has nothing to do with hardware.
The log when trying to one click train goes as follows;
start preprocess
['trainset_preprocess_pipeline_print.py', 'C:\Users\Aikeno\Desktop\dataset', '40000', '8', 'C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test', 'False']
C:\Users\Aikeno\Desktop\dataset/output_007.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_006.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_000.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_005.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_001.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_002.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_003.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_015.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_004.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_008.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_009.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_014.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_013.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_011.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_010.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_017.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_012.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_023.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_022.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_016.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_031.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_021.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_019.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_024.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_030.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_020.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_025.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_018.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_027.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_029.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_039.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_032.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_026.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_033.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_035.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_038.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_028.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_037.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_047.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_040.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_034.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_041.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_043.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_036.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_048.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_046.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_042.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_045.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_044.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_049.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_055.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_054.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_051.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_056.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_050.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_053.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_057.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_052.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_063.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_062.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_059.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_058.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_064.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_061.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_065.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_060.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_070.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_071.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_066.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_067.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_072.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_069.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_073.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_074.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_079.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_068.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_078.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_075.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_080.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_081.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_087.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_082.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_077.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_076.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_083.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_086.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_088.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_094.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_085.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_095.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_090.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_089.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_084.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_091.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_097.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_096.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_103.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_098.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_093.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_102.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_104.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_099.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_092.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_111.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_101.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_106.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_105.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_107.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_100.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_112.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_119.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_110.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_114.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_109.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_115.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_118.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_113.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_120.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_127.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_108.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_117.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_123.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_128.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_122.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_121.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_116.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_135.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_131.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_126.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_125.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_130.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_134.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_136.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_124.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_143.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_129.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_139.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_133.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_142.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_151.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_144.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_138.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_137.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_147.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_132.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_141.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_146.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_150.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_152.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_159.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_145.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_155.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_140.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_154.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_149.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_158.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_160.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_167.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_153.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_163.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_148.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_162.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_168.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_157.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_166.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_161.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_175.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_171.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_156.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_170.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_165.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_174.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_176.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_178.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_169.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_183.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_173.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_179.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_164.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_182.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_191.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_184.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_177.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_186.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_172.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_187.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_181.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_190.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_195.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_199.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_192.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_194.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_189.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_185.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_180.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_207.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_198.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_202.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_200.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_203.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_197.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_188.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_193.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_206.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_208.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_215.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_205.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_210.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_196.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_211.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_223.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_214.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_213.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_201.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_216.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_219.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_218.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_222.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_231.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_204.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_221.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_226.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_224.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_209.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_227.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_230.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_239.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_212.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_234.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_229.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_217.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_235.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_247.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_220.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_232.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_238.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_237.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_242.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_225.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_228.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_243.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_240.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_246.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_245.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_233.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_250.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_236.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_251.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_253.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_248.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_244.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_241.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_252.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_249.wav->Suc.
end preprocess
start preprocess
['trainset_preprocess_pipeline_print.py', 'C:\Users\Aikeno\Desktop\dataset', '40000', '8', 'C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test', 'False']
C:\Users\Aikeno\Desktop\dataset/output_007.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_006.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_000.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_005.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_001.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_002.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_003.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_015.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_004.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_008.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_009.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_014.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_013.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_011.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_010.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_017.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_012.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_023.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_016.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_022.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_031.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_021.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_019.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_024.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_030.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_020.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_025.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_018.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_027.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_029.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_039.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_032.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_026.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_033.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_035.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_038.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_028.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_037.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_047.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_040.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_034.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_041.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_043.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_036.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_048.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_046.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_042.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_045.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_044.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_049.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_055.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_054.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_051.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_056.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_050.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_053.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_057.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_052.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_063.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_062.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_059.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_058.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_064.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_061.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_065.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_060.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_070.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_071.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_066.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_067.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_072.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_069.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_073.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_074.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_079.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_068.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_078.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_075.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_080.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_081.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_087.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_082.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_077.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_076.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_083.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_086.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_088.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_094.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_095.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_085.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_090.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_089.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_084.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_091.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_097.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_096.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_103.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_098.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_093.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_102.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_104.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_099.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_092.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_111.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_101.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_106.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_105.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_107.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_100.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_112.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_119.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_110.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_114.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_109.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_115.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_118.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_113.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_120.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_127.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_108.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_117.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_123.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_128.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_122.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_121.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_116.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_135.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_131.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_126.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_125.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_130.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_134.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_136.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_124.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_143.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_129.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_139.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_133.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_142.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_151.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_144.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_138.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_137.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_147.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_132.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_141.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_146.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_150.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_152.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_159.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_145.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_155.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_140.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_154.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_149.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_158.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_160.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_167.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_153.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_163.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_148.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_162.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_168.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_157.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_166.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_161.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_175.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_171.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_156.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_170.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_165.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_174.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_176.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_178.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_169.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_183.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_173.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_179.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_164.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_182.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_191.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_184.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_177.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_186.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_172.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_187.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_181.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_190.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_195.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_199.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_192.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_194.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_189.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_185.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_180.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_207.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_198.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_202.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_200.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_203.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_197.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_188.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_193.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_206.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_208.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_215.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_205.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_210.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_196.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_211.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_223.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_214.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_213.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_201.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_216.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_219.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_218.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_222.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_231.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_204.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_221.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_226.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_224.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_209.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_227.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_230.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_239.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_212.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_234.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_229.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_217.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_235.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_247.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_220.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_232.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_238.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_237.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_242.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_225.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_228.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_243.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_240.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_246.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_245.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_233.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_250.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_236.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_251.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_253.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_248.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_244.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_241.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_252.wav->Suc.
C:\Users\Aikeno\Desktop\dataset/output_249.wav->Suc.
end preprocess
['extract_f0_print.py', 'C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test', '8', 'harvest']
todo-f0-43
todo-f0-44
todo-f0-44
todo-f0-43
todo-f0-43
todo-f0-43
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/102_2.wav
todo-f0-43
todo-f0-43
f0ing,now-0,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/0_1.wav
f0ing,now-0,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/100_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/103_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/101_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/104_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/105_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/102_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/145_1.wav
f0ing,now-8,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/142_1.wav
f0ing,now-8,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/143_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/145_2.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/143_2.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/146_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/147_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/144_1.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/184_1.wav
f0ing,now-16,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/181_1.wav
f0ing,now-16,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/181_2.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/184_2.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/182_1.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/185_1.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/185_2.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/183_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/220_1.wav
f0ing,now-24,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/218_1.wav
f0ing,now-24,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/218_2.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/221_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/219_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/221_2.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/222_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/21_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/32_1.wav
f0ing,now-32,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/29_1.wav
f0ing,now-32,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/2_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/33_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/30_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/33_2.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/34_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/31_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/85_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/87_1.wav
f0ing,now-40,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/82_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/86_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/83_1.wav
f0ing,now-40,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/81_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/88_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/84_1.wav
['extract_f0_print.py', 'C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test', '8', 'harvest']
todo-f0-43
todo-f0-44
todo-f0-44
todo-f0-43
todo-f0-43
todo-f0-43
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/102_2.wav
todo-f0-43
todo-f0-43
f0ing,now-0,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/0_1.wav
f0ing,now-0,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/100_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/103_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/101_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/104_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/105_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/102_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/145_1.wav
f0ing,now-8,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/142_1.wav
f0ing,now-8,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/143_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/145_2.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/143_2.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/146_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/147_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/144_1.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/184_1.wav
f0ing,now-16,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/181_1.wav
f0ing,now-16,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/181_2.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/184_2.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/182_1.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/185_1.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/185_2.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/183_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/220_1.wav
f0ing,now-24,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/218_1.wav
f0ing,now-24,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/218_2.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/221_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/219_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/221_2.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/222_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/21_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/32_1.wav
f0ing,now-32,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/29_1.wav
f0ing,now-32,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/2_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/33_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/30_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/33_2.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/34_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/31_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/85_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/87_1.wav
f0ing,now-40,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/82_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/86_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/83_1.wav
f0ing,now-40,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/81_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/88_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/84_1.wav
['extract_feature_print.py', 'cpu', '1', '0', '0', 'C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test', 'v2']
C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test
load model(s) from hubert_base.pt
move model to cpu
all-feature-346
now-346,all-0,0_1.wav,(53, 768)
now-346,all-34,122_2.wav,(18, 768)
now-346,all-68,145_1.wav,(42, 768)
now-346,all-102,166_1.wav,(37, 768)
Traceback (most recent call last):
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\extract_feature_print.py", line 102, in
logits = model.extract_features(**inputs)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\fairseq\models\hubert\hubert.py", line 535, in extract_features
res = self.forward(
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\fairseq\models\hubert\hubert.py", line 437, in forward
features = self.forward_features(source)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\fairseq\models\hubert\hubert.py", line 392, in forward_features
features = self.feature_extractor(source)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\fairseq\models\wav2vec\wav2vec2.py", line 895, in forward
x = conv(x)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
input = module(input)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\conv.py", line 313, in forward
return self._conv_forward(input, self.weight, self.bias)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\conv.py", line 309, in _conv_forward
return F.conv1d(input, weight, bias, self.stride,
RuntimeError: Calculated padded input size per channel: (1). Kernel size: (3). Kernel size can't be greater than actual input size
now-346,all-136,186_1.wav,(80, 768)
now-346,all-170,204_2.wav,(33, 768)
now-346,all-204,226_1.wav,(51, 768)
now-346,all-238,248_1.wav,(45, 768)
now-346,all-272,41_1.wav,(21, 768)
now-346,all-306,70_1.wav,(43, 768)
now-346,all-340,97_1.wav,(14, 768)
all-feature-done
['extract_f0_print.py', 'C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test', '8', 'harvest']
todo-f0-43
todo-f0-44
todo-f0-44
todo-f0-43
todo-f0-43
todo-f0-43
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/102_2.wav
todo-f0-43
todo-f0-43
f0ing,now-0,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/0_1.wav
f0ing,now-0,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/100_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/103_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/101_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/104_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/105_1.wav
f0ing,now-0,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/102_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/145_1.wav
f0ing,now-8,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/142_1.wav
f0ing,now-8,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/143_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/145_2.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/143_2.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/146_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/147_1.wav
f0ing,now-8,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/144_1.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/184_1.wav
f0ing,now-16,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/181_1.wav
f0ing,now-16,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/181_2.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/184_2.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/182_1.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/185_1.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/185_2.wav
f0ing,now-16,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/183_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/220_1.wav
f0ing,now-24,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/218_1.wav
f0ing,now-24,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/218_2.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/221_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/219_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/221_2.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/222_1.wav
f0ing,now-24,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/21_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/32_1.wav
f0ing,now-32,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/29_1.wav
f0ing,now-32,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/2_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/33_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/30_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/33_2.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/34_1.wav
f0ing,now-32,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/31_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/85_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/87_1.wav
f0ing,now-40,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/82_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/86_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/83_1.wav
f0ing,now-40,all-44,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/81_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/88_1.wav
f0ing,now-40,all-43,-C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test/1_16k_wavs/84_1.wav
['extract_feature_print.py', 'cpu', '1', '0', '0', 'C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test', 'v2']
C:\Users\Aikeno\Desktop\RVC-beta-v2-0528/logs/mi-test
load model(s) from hubert_base.pt
move model to cpu
all-feature-346
now-346,all-0,0_1.wav,(53, 768)
now-346,all-34,122_2.wav,(18, 768)
now-346,all-68,145_1.wav,(42, 768)
now-346,all-102,166_1.wav,(37, 768)
Traceback (most recent call last):
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\extract_feature_print.py", line 102, in
logits = model.extract_features(**inputs)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\fairseq\models\hubert\hubert.py", line 535, in extract_features
res = self.forward(
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\fairseq\models\hubert\hubert.py", line 437, in forward
features = self.forward_features(source)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\fairseq\models\hubert\hubert.py", line 392, in forward_features
features = self.feature_extractor(source)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\fairseq\models\wav2vec\wav2vec2.py", line 895, in forward
x = conv(x)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\container.py", line 217, in forward
input = module(input)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\conv.py", line 313, in forward
return self._conv_forward(input, self.weight, self.bias)
File "C:\Users\Aikeno\Desktop\RVC-beta-v2-0528\runtime\lib\site-packages\torch\nn\modules\conv.py", line 309, in _conv_forward
return F.conv1d(input, weight, bias, self.stride,
RuntimeError: Calculated padded input size per channel: (1). Kernel size: (3). Kernel size can't be greater than actual input size
now-346,all-136,186_1.wav,(80, 768)
now-346,all-170,204_2.wav,(33, 768)
now-346,all-204,226_1.wav,(51, 768)
now-346,all-238,248_1.wav,(45, 768)
now-346,all-272,41_1.wav,(21, 768)
now-346,all-306,70_1.wav,(43, 768)
now-346,all-340,97_1.wav,(14, 768)
all-feature-done
I haven't seen any other people encountering this issue, and haven't seen any issue reports on it either.

Is it supported on Apple devices?

Is it supported on Apple devices?

support m1/m2

authors: RVC-Boss examplar-username


text:
Version accounting when executing to_boto3()

Title
Version accounting when executing to_boto3().
Motivation
This PR fixes the incorrect behavior of to_boto3. Now, when passing a version of an object to the to_boto3 function, the required version will be returned, not the latest.

Fixes https://github.com/RaRe-Technologies/smart_open/issues/392

Checklist

[x] Picked a concise, informative and complete title
[x] Clearly explained the motivation behind the PR
[x] Linked to any existing issues that your PR will be solving
[x] Included tests for any new functionality
[x] Checked that all unit tests pass

Thank you for your hard work @interpolatio !

authors: interpolatio mpenkov