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 stiepan almost 2 years ago
This DALI release includes the following key features and enhancements:
fn.experimental.remap
operator for generic geometric transformation of images and video (#4379, #4419, #4365, #4374, #4425).fn.experimental.inflate
operator that enables decompression of LZ4 compressed input (#4366).The following issues were fixed in this release:
fn.experimental.remap
optimizations (#4419)fn.experimental.remap
operator (#4379)cuh
files to linter (#4384)privileged=yes
in Extra Settings for AWS data points--privileged
or --security-opt seccomp=unconfined
for bare Docker.Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.20.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.20.0
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==1.20.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.20.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by stiepan almost 2 years ago
This DALI release includes the following key features and enhancements:
experimental.decoders.video
stand-alone video decoder to decode video on GPU and CPU provided as an in-memory buffer (for example, through an external source) (#4354, #4296).The following issues were fixed in this release:
There are no breaking changes in this DALI release.
DALI will drop support for CUDA 10.2 in an upcoming release.
privileged=yes
in Extra Settings for AWS data points--privileged
or --security-opt seccomp=unconfined
for bare Docker.Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.19.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.19.0
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==1.19.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.19.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by stiepan about 2 years ago
This DALI release includes the following key features and enhancements:
fill_value
argument for each sample in the fn.erase
operator (#4182).FramesDecoder
(#4184).audio_resample
operator out of experimental module (#4194).The following issues were fixed in this release:
WebDataset integration using External Source
example (#4240)fill_value
argument in Erase operator (#4182)audio_resample
out of experimental module (#4194)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
privileged=yes
in Extra Settings for AWS data points--privileged
or --security-opt seccomp=unconfined
for bare Docker.Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.18.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.18.0
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==1.18.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.18.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by stiepan about 2 years ago
This DALI release includes the following key features and enhancements:
The following issues were fixed in this release:
nose2
(#4037)\
(#4123)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
privileged=yes
in Extra Settings for AWS data points--privileged
or --security-opt seccomp=unconfined
for bare Docker.Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.17.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.17.0
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==1.17.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.17.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by stiepan about 2 years ago
This release includes bug fixes, so there are no new features or enhancements.
The following issues were fixed in this release:
There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
privileged=yes
in Extra Settings for AWS data points--privileged
or --security-opt seccomp=unconfined
for bare Docker.Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.16.1
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.16.1
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==1.16.1
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.16.1
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf about 2 years ago
This DALI release includes the following key features and enhancements:
antialias
flag to Resize operator for improved control over resampling mode used (#4032).The following issues were fixed in this release:
reset()
when iter()
is called upon it (#3923)()
instead of (1,)
.cubic
and linear
interpolation modes, the resize
operator applies the antialiasing filter by default now. The antialiasing can be turned off with the antialias
flag.resize
operator has been deprecated as it is equivalent to linear interpolation with antialiasing on.privileged=yes
in Extra Settings for AWS data points--privileged
or --security-opt seccomp=unconfined
for bare Docker.Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.16.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.16.0
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==1.16.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.16.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by stiepan over 2 years ago
This DALI release includes the following key features and enhancements:
fn.readers.numpy
by custom GDS staging (#3894, #3905).warp_affine
operator (#3879, #3900).The following issues were fixed in this release:
fn.experimental.audio_resample
GPU (#3911)VideoReaderDecoder
test for missing labels (#3908)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
privileged=yes
in Extra Settings for AWS data points--privileged
or --security-opt seccomp=unconfined
for bare Docker.Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.15.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.15.0
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==1.15.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.15.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by stiepan over 2 years ago
This DALI release includes the following key features and enhancements.
output_dtype
and output_ndim
arguments to Pipeline constructor (#3877)autoserialization
in DALI Backend (#3795)[shields.io](http://shields.io/)
badges in README.rst
. (#3815)test_coverage
case in test_dali_cpu_only.py and test_dali_variable_batch_size.py (#3849)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.14.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.14.0
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==1.14.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.14.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by stiepan over 2 years ago
This DALI release includes the following key features and enhancements.
_schema_name
attribute in fn API (#3798)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.13.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.13.0
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==1.13.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.13.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by stiepan over 2 years ago
This DALI release includes the following key features and enhancements.
lineinfo
from RelWithDebInfo DALI builds (#3680)fill_values
being used by pad_output
in crop_mirror_normalize (#3674)import nose.SkipTest
in optical flow tests (#3707)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.12.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.12.0
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==1.12.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.12.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
This is a patch release.
There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
experimental.readers.video
operator causes a crash during the process teardown with driver versions 460 to 470.21Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.11.1
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.11.1
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==1.11.1
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.11.1
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf over 2 years ago
This DALI release includes the following key features and enhancements.
parallel
option in external source (#3654).dtype()
method (#3650)source_info
property (#3614)librosa
bugs after 0.9 release (#3665)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
experimental.readers.video
operator causes a crash during the process teardown with driver versions 460 to 470.21Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.11.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.11.0
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==1.11.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.11.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf over 2 years ago
This DALI release includes the following key features and enhancements.
get_property
operator (CPU and GPU) that is used to fetch tensor metadata, such as the source file name (#3572).laplacian
operator (CPU) (#3563).slice
operator (#3584, #3573, and #3568).No major issues were fixed in this release.
version_ge: command not found
error in TL0_python-self-test-base-cuda (#3582)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.10.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.10.0
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==1.10.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.10.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf almost 3 years ago
This DALI release includes the following key features and enhancements.
jpeg_compression_distortion
operator to support video inputs (#3482 and #3447).file_filter
argument to the readers.file
operator that allows you to filter files by names (#3459).slice
operator to support per-sample axes
arguments and negative axis indexing (#3516).pad
operator to support per-sample axes
, fill_value
arguments, and negative axis indexing (#3534).slice
operator for small batch sizes (#3557).This DALI release includes the following fixes:
There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.9.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.9.0
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==1.9.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.9.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf almost 3 years ago
This DALI release includes the following key features and enhancements.
external_source
operator with parallel callback. (#3420 and #3397)crop_mirror_normalize
operator to support per-sample normalization parameters. (#3455)This DALI release includes the following fixes:
random_bbox_crop
operator, when input shape is provided. (#3425)experimental.readers.video
operator. (#3460)permute
function to infer the output size from the indices. (#3434)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.8.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.8.0
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==1.8.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.8.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf almost 3 years ago
This DALI release includes the following key features and enhancements.
readers.webdataset
, which is a reader for the Webdataset format (#3395, #3385, #3375, #3372, #3360, and #3306).experimental.readers.video
(CPU), which is an experimental video reader and decoder that includes support for the variable frame rate (#3412, #3411, #3391, and #3362).warp_affine
performance has been improved for some common cases (#3370).DALI_DISABLE_NVML
and DALI_RESTRICT_PINNED_MEM
environment variables. These variables allow you to limit the use of NVML and pinned memory and enable DALI on more platforms (#3404 and #3382).This DALI release includes the following fixes:
pad
operator that caused a crash when the operator was used with a variable batch size (#3354).readers.video
operator (#3355).There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.7.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.7.0
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==1.7.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.7.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf about 3 years ago
This DALI release includes the following key features and enhancements.
external_source
operator (#3270, #3269).external_source
operator (#3199).EfficientDet
example (#3118).This DALI release includes the following fixes:
gaussian_blur
operator for inputs where one of the dimensions equals 1 (#3291).external_source
operator was used (#3245).readers.video
hanging on some HEVC samples (#3247).There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.6.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.6.0
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==1.6.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.6.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by klecki about 3 years ago
This DALI release includes the following key features and enhancements.
decoders.image
to support WebP decoding (#3206)external_source
to support source
argument in TensorFlow DALI Dataset (#3215, #3193, #3177 and #3176)external_source
(#3153)This DALI release includes the following fixes:
multi_paste
(#3166)spectrogram
operator, extracted windows are now correctly centered before FFT calculation, when the nfft
argument is bigger than length of the window. (#3180)decoders.image
(#3148)source
in TF DALI Dataset (#3177)cuda_vm_resource
. (#3154)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Install via pip for CUDA 10.2:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.5.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.5.0
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==1.5.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.5.0
Or use direct download links (CUDA 10.2):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code:
Published by banasraf about 3 years ago
This DALI release includes the following key features and enhancements.
readers.numpy
improvements:
no_copy
mode (#3041, #3058, and #3097).Slice
and SliceFlipNormalizePermutePad
kernels. (#3062, #3068, and #3080)readers.nemo_asr
to return indices of the entries in the manifest (#3085).This DALI release includes the following fixes:
functools.partial
result was passed as a source
to external_source
(#3143).--no-index
option to TL1_tensorflow-dali_test test (#3112)There are no breaking changes in this DALI release.
There are no deprecated features in this DALI release.
Note: Starting from version 1.4.0, DALI will be providing CUDA 10.2 builds instead of CUDA 10.0
Install via pip for CUDA 10:
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-cuda102==1.4.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda102==1.4.0
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==1.4.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.4.0
Or use direct download links (CUDA 10.2):
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.
noise.salt_and_pepper
) for CPU and GPU (#2889, #2934, #2956, and #2976).external_source
in TensorFlow DALIDataset (#2949, #2993, and #2997).color_space_conversion
operator performance (#2987).brightness
and contrast
operators performance (#2981).This DALI release includes the following fixes:
readers.nemo_asr
that caused a system error due to keeping too many open files (#3003).mel_filter_bank
(#2986).cudaErrorLaunchOutOfResources
error that appeared in transpose operator on some GPUs (#2971).readers.tfrecord
(#2952).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==1.3.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda100==1.3.0
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==1.3.0
pip install --extra-index-url https://developer.download.nvidia.com/compute/redist/ nvidia-dali-tf-plugin-cuda110==1.3.0
Or use direct download links (CUDA 10.0):
Or use direct download links (CUDA 11.0):
FFmpeg source code:
Libsndfile source code: