himanshunaidu

# packages in environment at /opt/anaconda3/envs/executorch_0.6:
#
# Name                    Version                   Build  Channel
attrs                     25.3.0                   pypi_0    pypi
blas                      1.0                    openblas  
bzip2                     1.0.8                h80987f9_6  
ca-certificates           2025.2.25            hca03da5_0  
cattrs                    24.1.3                   pypi_0    pypi
certifi                   2025.1.31                pypi_0    pypi
charset-normalizer        3.4.1                    pypi_0    pypi

himanshunaidu

Torch version 2.7.0 has not been tested with coremltools. You may run into unexpected errors. Torch 2.5.0 is the most recent version that has been tested.
W0414 16:08:42.133000 61242 site-packages/torch/distributed/elastic/multiprocessing/redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs.
2025-04-14 16:08:43 - INFO    - Number of images in the dataset: 500
[program.cpp:136] InternalConsistency verification requested but not available
/opt/anaconda3/envs/executorch_0.6/lib/python3.10/site-packages/torch/utils/data/dataloader.py:683: UserWarning: 'pin_memory' argument is set as true but not supported on MPS now, then device pinned memory won't be used.
  warnings.warn(warn_msg)
  0%|                                                                                     | 0/500 [00:00<?, ?it/s]scikit-learn version 1.6.1 is not supported. Minimum required version: 0.17. Maximum required version: 1.5.1. Disabling scikit-learn conversion API.
scikit-learn version 1.6.1 is not supported. 

himanshunaidu

Torch version 2.7.0 has not been tested with coremltools. You may run into unexpected errors. Torch 2.5.0 is the most recent version that has been tested.
W0414 16:01:54.813146 59303 site-packages/torch/distributed/elastic/multiprocessing/redirects.py:29] NOTE: Redirects are currently not supported in Windows or MacOs.
Loading image: ./coreml/semantic_segmentation/model_zoo/dump/test.jpg
WARNING:executorch.backends.apple.coreml.partition.coreml_partitioner:Encountered exception when checking node support: For now, since CoreML only supports call_function torch fx node, all ops should be functional, i.e. there should not be any in-place op
WARNING:executorch.backends.apple.coreml.partition.coreml_partitioner:Encountered exception when checking node support: For now, since CoreML only supports call_function torch fx node, all ops should be functional, i.e. there should not be any in-place op
WARNING:executorch.backends.apple.coreml.partition.coreml_partitioner:Encountered exception when checking node support: F

himanshunaidu

# packages in environment at /opt/anaconda3/envs/executorch_0.5:
#
# Name                    Version                   Build  Channel
attrs                     25.3.0                   pypi_0    pypi
blas                      1.0                    openblas  
bzip2                     1.0.8                h80987f9_6  
c-ares                    1.34.5               h5505292_0    conda-forge
ca-certificates           2025.2.25            hca03da5_0  
cattrs                    24.1.3                   pypi_0    pypi
certifi                   2025.1.31                pypi_0    pypi

himanshunaidu

Building wheels for collected packages: executorch
  Running command Building wheel for executorch (pyproject.toml)
  running bdist_wheel
  running build
  command options for 'CustomBuild':
    build_base = pip-out
    build_purelib = pip-out/lib
    build_platlib = pip-out/lib.macosx-11.1-arm64-cpython-312
    build_lib = pip-out/lib.macosx-11.1-arm64-cpython-312
    build_scripts = pip-out/scripts-3.12

himanshunaidu

import SwiftUI
import AVFoundation
import Vision

// Used as delegate by the CameraController
protocol CaptureDataReceiver: AnyObject {
    func onNewData(cameraImage: CGImage, depthPixelBuffer: CVPixelBuffer)
}

class CameraController: NSObject, ObservableObject {

himanshunaidu

package com.hfad.spaceappswater;

import android.content.Context;
import android.content.Intent;
import android.location.Address;
import android.location.Geocoder;
import android.location.Location;
import android.location.LocationListener;
import android.location.LocationManager;
import android.net.wifi.p2p.WifiP2pManager;