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I'm getting a build error on a data type conversion with this example:
https://github.com/pytorch/examples/tree/main/cpp/custom-dataset
Error message:
error: conversion from 'const long' to 'detail::TensorDataContainer' is ambiguous
[build] auto tlabel = torch::tensor(data[index].second, torch::kLong);
[build] ^~~~~~~~~~~~~~~~~~
I believe the paths to libtorch and opencv are good because other sample apps using them compile fine.
I've tried playing around with some casts (both with c++ casts and torch method conversions like .to(torch::kFloat) ) but I don't really know the library enough to troubleshoot. Removing the const-ness of the data also didn't help (revert of b2832cc).
torch env
PyTorch version: 2.3.0
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: macOS 14.4.1 (arm64)
GCC version: Could not collect
Clang version: 15.0.0 (clang-1500.3.9.4)
CMake version: version 3.29.3
Libc version: N/A
Python version: 3.12.3 (main, Apr 9 2024, 08:09:14) [Clang 15.0.0 (clang-1500.3.9.4)] (64-bit runtime)
Python platform: macOS-14.4.1-arm64-arm-64bit
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
CPU:
Apple M1 Max
Versions of relevant libraries:
[pip3] numpy==1.26.4
[pip3] torch==2.3.0
[pip3] torchaudio==2.3.0
[pip3] torchvision==0.18.0
[conda] Could not collect
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