2023-11-09 12:45:56 +08:00

40 lines
1.1 KiB
YAML

package:
name: kaldifeat
version: "1.25.3"
source:
path: "{{ environ.get('KALDIFEAT_ROOT_DIR') }}"
build:
number: 0
string: cuda{{ environ.get('KALDIFEAT_CUDA_VERSION') }}_py{{ environ.get('KALDIFEAT_PYTHON_VERSION') }}_torch{{ environ.get('KALDIFEAT_TORCH_VERSION') }}
script_env:
- KALDIFEAT_IS_GITHUB_ACTIONS
- KALDIFEAT_CUDA_VERSION
- KALDIFEAT_TORCH_VERSION
- KALDIFEAT_PYTHON_VERSION
- KALDIFEAT_BUILD_TYPE
- KALDIFEAT_BUILD_VERSION
- KALDIFEAT_IS_FOR_CONDA
requirements:
host:
- cmake=3.18
- python
- pytorch={{ environ.get('KALDIFEAT_TORCH_VERSION') }}
- cudatoolkit={{ environ.get('KALDIFEAT_CUDA_VERSION') }}
- gcc_linux-64=7
run:
- python
- pytorch={{ environ.get('KALDIFEAT_TORCH_VERSION') }}
- cudatoolkit={{ environ.get('KALDIFEAT_CUDA_VERSION') }}
about:
home: https://github.com/csukuangfj/kaldifeat
license: Apache V2
license_file: LICENSE
summary: Kaldi-compatible feature extraction with PyTorch
description: |
Kaldi-compatible feature extraction with PyTorch,
supporting CUDA, batch processing, chunk processing, and autograd