A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
APACHE-2.0 License
Published by banasraf over 3 years ago
This DALI release includes the following key features and enhancements.
noise.shot
CPU and GPU operators (#2861)noise.gaussian
CPU and GPU operators (#2846)jpeg_compression_distortion
CPU and GPU operators (#2823)sqrt
, rsqrt
, and cbrt
)log2
and log10
)pow
function)abs
and fabs
)ceil
and floor
)sin
, cos
, and tan
)asin
, acos
, atan
, and atan2
)sinh
, cosh
, and tanh
)asinh
, acosh
, and atanh
)fn.experimental.numba_function
(#2886, #2835, #2903, #2893, and #2887)This DALI release includes the following fixes:
readers.numpy
cache issue (#2932).readers.nemo_asr
(#2928).last_batch_policy
(#2862)prepare_first_batch=False
(#2859)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==1.2.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==1.2.0
or for CUDA 11:
CUDA 11.0 build uses CUDA toolkit enhanced compatibility. It is built with the latest CUDA 11.x toolkit
while it can run on the latest, stable CUDA 11.0 capable drivers (450.80 or later).
Using the latest driver may enable additional functionality.
More details can be found in enhanced CUDA compatibility guide.
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==1.2.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.2.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf over 3 years ago
This DALI release includes the following key features and enhancements.
numba_func
operator that allows the use of Numba functions in the DALI pipeline (#2804).expand_dims
and squeeze
operators for shape manipulation (GPU and CPU) (#2800, #2791, #2792).multi_paste
operator (GPU) (#2681).src_dims
argument to the reshape operator (#2788).This DALI release includes the following fixes:
readers.nemo_asr
when pad_last_batch
is set to True (#2828).There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==1.1.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==1.1.0
or for CUDA 11:
CUDA 11.0 build uses CUDA toolkit enhanced compatibility. It is built with the latest CUDA 11.x toolkit
while it can run on the latest, stable CUDA 11.0 capable drivers (450.80 or later).
Using the latest driver may enable additional functionality.
More details can be found in enhanced CUDA compatibility guide.
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==1.1.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.1.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf over 3 years ago
This DALI release includes the following key features and enhancements.
This DALI release includes the following fixes:
set_outputs
to accept list or tuple of data nodes as well (#2698).gpu
usage detection and error for CPU only pipelines (#2682)There are no breaking changes in this DALI release.
fn.audio_decoder
/ ops.AudioDecoder
has been renamed to fn.decoders.audio
/ ops.decoders.Audio
.fn.image_decoder
/ ops.ImageDecoder
has been renamed to fn.decoders.image
/ ops.decoders.Image
.fn.image_decoder_crop
/ ops.ImageDecoderCrop
has been renamed to fn.decoders.image_crop
/ ops.decoders.ImageCrop
.fn.image_decoder_random_crop
/ ops.ImageDecoderRandomCrop
has been renamed to fn.decoders.image_random_crop
/ ops.decoders.ImageRandomCrop
.fn.image_decoder_slice
/ ops.ImageDecoderSlice
has been renamed to fn.decoders.image_slice
/ ops.decoders.ImageSlice
.fn.caffe2_reader
/ ops.Caffe2Reader
has been renamed to fn.readers.caffe2
/ ops.readers.Caffe2
.fn.caffe_reader
/ ops.CaffeReader
has been renamed to fn.readers.caffe
/ ops.readers.Caffe
.fn.coco_reader
/ ops.CocoReader
has been renamed to fn.readers.coco
/ ops.readers.Coco
.fn.file_reader
/ ops.FileReader
has been renamed to fn.readers.file
/ ops.readers.File
.fn.mxnet_reader
/ ops.MXNetReader
has been renamed to fn.readers.mxnet
/ ops.readers.MXNet
.fn.nemo_asr_reader
/ ops.NemoAsrReader
has been renamed to fn.readers.nemo_asr
/ ops.readers.NemoAsr
.fn.numpy_reader
/ ops.NumpyReader
has been renamed to fn.readers.numpy
/ ops.readers.Numpy
.fn.sequence_reader
/ ops.SequenceReader
has been renamed to fn.readers.sequence
/ ops.readers.Sequence
.fn.tfrecord_reader
/ ops.TFRecordReader
has been renamed to fn.readers.tfrecord
/ ops.readers.TFRecord
.fn.video_reader
/ ops.VideoReader
has been renamed to fn.readers.video
/ ops.readers.Video
.fn.video_reader_resize/ops.VideoReaderResize
has been renamed to fn.readers.video_resize
/ ops.readers.VideoResize
.Install via pip for CUDA 10:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==1.0.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==1.0.0
or for CUDA 11:
CUDA 11.0 build uses CUDA toolkit enhanced compatibility. It is built with the latest CUDA 11.x toolkit
while it can run on the latest, stable CUDA 11.0 capable drivers (450.80 or later).
Using the latest driver may enable additional functionality.
More details can be found in enhanced CUDA compatibility guide.
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==1.0.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.0.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf over 3 years ago
This DALI release includes the following key features and enhancements.
preserve
schema arg and uninitialized var (#2632)Install via pip for CUDA 10:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==0.31.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==0.31.0
or for CUDA 11:
CUDA 11.0 build uses CUDA toolkit enhanced compatibility. It is built with the latest CUDA 11.x toolkit
while it can run on the latest, stable CUDA 11.0 capable drivers (450.80 or later).
Using the latest driver may enable additional functionality.
More details can be found in enhanced CUDA compatibility guide.
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==0.31.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==0.31.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by klecki over 3 years ago
This DALI release includes the following key features and enhancements.
__bool__
conversions (#2538).files
arg support and fix bug in the segmentation data parsing (#2548)images
argument can be used to provide a custom order of images (#2597)Install via pip for CUDA 10:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==0.30.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==0.30.0
or for CUDA 11:
CUDA 11.0 build uses CUDA toolkit enhanced compatibility. It is built with the latest CUDA 11.x toolkit
while it can run on the latest, stable CUDA 11.0 capable drivers (450.80 or later).
Using the latest driver may enable additional functionality.
More details can be found in enhanced CUDA compatibility guide.
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==0.30.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==0.30.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by jantonguirao almost 4 years ago
This DALI release includes the following key features and enhancements.
Install via pip for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==0.29.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==0.29.0
or for CUDA 11:
CUDA 11.0 build uses CUDA toolkit enhanced compatibility. It is built with the latest CUDA 11.x toolkit while it can run on the latest, stable CUDA 11.0 capable drivers (450.80 or later). Using the latest driver may enable additional functionality. More details can be found in enhanced CUDA compatibility guide.
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==0.29.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==0.29.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by klecki almost 4 years ago
This DALI release includes the following key features and enhancements.
Install via pip for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==0.28.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==0.28.0
or for CUDA 11:
CUDA 11.0 build uses CUDA toolkit enhanced compatibility. It is built with the latest CUDA 11.x toolkit while it can run on the latest, stable CUDA 11.0 capable drivers (450.80 or later). Using the latest driver may enable additional functionality. More details can be found in enhanced CUDA compatibility guide.
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==0.28.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==0.28.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by klecki almost 4 years ago
This DALI release includes the following key features and enhancements.
file_list
argument support to the Numpy reader operator (#2274)Install via pip for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==0.27.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==0.27.0
or for CUDA 11:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==0.27.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==0.27.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by klecki about 4 years ago
This DALI release includes the following key features and enhancements.
TensorListView::to_static
(#2216)Install via pip for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==0.26.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==0.26.0
or for CUDA 11:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==0.26.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==0.26.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by klecki about 4 years ago
This is a patch release that contains only fixes.
Install via pip for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==0.25.1
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==0.25.1
or for CUDA 11:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==0.25.1
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==0.25.1
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
SBSA aarch64 CUDA 11.0 direct download link:
FFmpeg source code:
Libsndfile source code:
Published by klecki about 4 years ago
This DALI release includes the following key features and enhancements.
Install via pip for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==0.25.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==0.25.0
or for CUDA 11:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==0.25.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==0.25.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by klecki about 4 years ago
This DALI release includes the following key features and enhancements.
Assertion is always true
in Python tests (#2077)main
from nosetest files (#2083)output_dtype
and use dtype
(#2051).Install via pip for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==0.24.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==0.24.0
or for CUDA 11:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==0.24.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==0.24.0
Or use direct download links (CUDA 10.0):
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda100/nvidia_dali_cuda100-0.24.0-1446725-cp35-cp35m-manylinux2014_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda100/nvidia_dali_cuda100-0.24.0-1446725-cp36-cp36m-manylinux2014_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda100/nvidia_dali_cuda100-0.24.0-1446725-cp37-cp37m-manylinux2014_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda100/nvidia_dali_cuda100-0.24.0-1446725-cp38-cp38-manylinux2014_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-tf-plugin-cuda100/nvidia-dali-tf-plugin-cuda100-0.24.0.tar.gz
Or use direct download links (CUDA 11.0):
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda110/nvidia_dali_cuda110-0.24.0-1472979-cp35-cp35m-manylinux2014_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda110/nvidia_dali_cuda110-0.24.0-1472979-cp36-cp36m-manylinux2014_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda110/nvidia_dali_cuda110-0.24.0-1472979-cp37-cp37m-manylinux2014_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda110/nvidia_dali_cuda110-0.24.0-1472979-cp38-cp38-manylinux2014_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-tf-plugin-cuda110/nvidia-dali-tf-plugin-cuda110-0.24.0.tar.gz
FFmpeg source code:
Libsndfile source code:
Published by klecki over 4 years ago
This DALI release includes the following key features and enhancements.
nvidia.dali
regardless of CUDA version. See the https://docs.nvidia.com/deeplearning/dali/user-guide/docs/installation.html installation guide for details.Install via pip for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda100==0.23.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100
or for CUDA 11:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda110==0.23.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110
Or use direct download links (CUDA 10.0):
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda100/nvidia_dali_cuda100-0.23.0-1396139-cp35-cp35m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda100/nvidia_dali_cuda100-0.23.0-1396139-cp36-cp36m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda100/nvidia_dali_cuda100-0.23.0-1396139-cp37-cp37m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda100/nvidia_dali_cuda100-0.23.0-1396139-cp38-cp38-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-tf-plugin-cuda100/nvidia-dali-tf-plugin-cuda100-0.23.0.tar.gz
Or use direct download links (CUDA 11.0):
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda110/nvidia_dali_cuda110-0.23.0-1396141-cp35-cp35m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda110/nvidia_dali_cuda110-0.23.0-1396141-cp36-cp36m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda110/nvidia_dali_cuda110-0.23.0-1396141-cp37-cp37m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-cuda110/nvidia_dali_cuda110-0.23.0-1396141-cp38-cp38-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/nvidia-dali-tf-plugin-cuda110/nvidia-dali-tf-plugin-cuda110-0.23.0.tar.gz
FFmpeg source code:
Libsndfile source code:
Published by klecki over 4 years ago
This DALI release includes the following key features and enhancements.
collapse_dim
and collapse_dims
for TensorListShape
. (#1862)make install
target for installing DALI on system where it's build (#1854)None
Install via pip for CUDA 9:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/9.0 nvidia-dali==0.22.0
or for CUDA 10:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/10.0 nvidia-dali==0.22.0
or for CUDA 11:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/11.0 nvidia-dali==0.22.0
Or use direct download links (CUDA 9.0):
https://developer.download.nvidia.com/compute/redist/cuda/9.0/nvidia-dali/nvidia_dali-0.22.0-1313462-cp35-cp35m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/9.0/nvidia-dali/nvidia_dali-0.22.0-1313462-cp36-cp36m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/9.0/nvidia-dali/nvidia_dali-0.22.0-1313462-cp37-cp37m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/9.0/nvidia-dali/nvidia_dali-0.22.0-1313462-cp38-cp38-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/9.0/nvidia-dali-tf-plugin/nvidia-dali-tf-plugin-0.22.0.tar.gz
Or use direct download links (CUDA 10.0):
https://developer.download.nvidia.com/compute/redist/cuda/10.0/nvidia-dali/nvidia_dali-0.22.0-1313464-cp35-cp35m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/10.0/nvidia-dali/nvidia_dali-0.22.0-1313464-cp36-cp36m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/10.0/nvidia-dali/nvidia_dali-0.22.0-1313464-cp37-cp37m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/10.0/nvidia-dali/nvidia_dali-0.22.0-1313464-cp38-cp38-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/10.0/nvidia-dali-tf-plugin/nvidia-dali-tf-plugin-0.22.0.tar.gz
Or use direct download links (CUDA 11.0):
https://developer.download.nvidia.com/compute/redist/cuda/11.0/nvidia-dali/nvidia_dali-0.22.0-1313465-cp35-cp35m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/11.0/nvidia-dali/nvidia_dali-0.22.0-1313465-cp36-cp36m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/11.0/nvidia-dali/nvidia_dali-0.22.0-1313465-cp37-cp37m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/11.0/nvidia-dali/nvidia_dali-0.22.0-1313465-cp38-cp38-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/11.0/nvidia-dali-tf-plugin/nvidia-dali-tf-plugin-0.22.0.tar.gz
FFmpeg source code:
Libsndfile source code:
Published by klecki over 4 years ago
This DALI release includes the following key features and enhancements.
New operators:
#include <cstdint>
to util and math_util. (#1810)Supported Operations
& "How to verify DALI build" description in compilation tutorial (#1722)None
Install via pip for CUDA 9:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/9.0 nvidia-dali==0.21.0
or for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/10.0 nvidia-dali==0.21.0
Or use direct download links (CUDA 9.0):
https://developer.download.nvidia.com/compute/redist/cuda/9.0/nvidia-dali/nvidia_dali-0.21.0-1239037-cp35-cp35m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/9.0/nvidia-dali/nvidia_dali-0.21.0-1239037-cp36-cp36m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/9.0/nvidia-dali/nvidia_dali-0.21.0-1239037-cp37-cp37m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/9.0/nvidia-dali/nvidia_dali-0.21.0-1239037-cp38-cp38-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/9.0/nvidia-dali-tf-plugin/nvidia-dali-tf-plugin-0.21.0.tar.gz
Or use direct download links (CUDA 10.0):
https://developer.download.nvidia.com/compute/redist/cuda/10.0/nvidia-dali/nvidia_dali-0.21.0-1239036-cp35-cp35m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/10.0/nvidia-dali/nvidia_dali-0.21.0-1239036-cp36-cp36m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/10.0/nvidia-dali/nvidia_dali-0.21.0-1239036-cp37-cp37m-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/10.0/nvidia-dali/nvidia_dali-0.21.0-1239036-cp38-cp38-manylinux1_x86_64.whl
https://developer.download.nvidia.com/compute/redist/cuda/10.0/nvidia-dali-tf-plugin/nvidia-dali-tf-plugin-0.21.0.tar.gz
FFmpeg source code:
Libsndfile source code:
Published by klecki over 4 years ago
This DALI release includes the following key features and enhancements.
Added operators:
Allow align-only behavior in Pad operator by treating shape argument as minimum shape (#1764)
Added data_ptr
method to Tensor and TensorList (#1773) - it enables __array_interface__
and __cuda_array_interface__
support.
Extended shape support in DALI Dataset for TensorFlow (#1723)
Documentation improvements: layouts, Python API.
Added Gluon iterator plugin (#1683)
data_ptr
method to Tensor and TensorList (#1773)None
Install via pip for CUDA 9:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/9.0 nvidia-dali==0.20.0
or for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/10.0 nvidia-dali==0.20.0
Or use direct download links (CUDA 9.0):
Or use direct download links (CUDA 10.0):
FFmpeg source code:
Libsndfile source code:
Published by JanuszL over 4 years ago
here
in docs developer version (#1657)Memory consumption
and Custom operator
docs sections (#1719)None
Install via pip for CUDA 9:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/9.0 nvidia-dali==0.19.0
or for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/10.0 nvidia-dali==0.19.0
Or use direct download links (CUDA 9.0):
Or use direct download links (CUDA 10.0):
FFmpeg source code:
Libsndfile source code:
Published by klecki almost 5 years ago
Install via pip for CUDA 9:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/9.0 nvidia-dali==0.18.0
or for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/10.0 nvidia-dali==0.18.0
Or use direct download links (CUDA 9.0):
Or use direct download links (CUDA 10.0):
FFmpeg source code:
Libsndfile source code:
Published by JanuszL almost 5 years ago
fill_last_batch
parameter to match the real behavior (#1479)asCPU
method is no longer available and has been replaced with as_cpu
.Install via pip for CUDA 9:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/9.0 nvidia-dali==0.17.0
or for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/10.0 nvidia-dali==0.17.0
Or use direct download links (CUDA 9.0):
Or use direct download links (CUDA 10.0):
FFmpeg source code:
Libsndfile source code:
Published by klecki almost 5 years ago
last_batch_padded
and Running DALI pipeline
docs (#1351)Install via pip for CUDA 9:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/9.0 nvidia-dali==0.16.0
or for CUDA 10
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/cuda/10.0 nvidia-dali==0.16.0
Or use direct download links (CUDA 9.0):
Or use direct download links (CUDA 10.0):
FFmpeg source code: