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submitted by /u/_Ari___ [visit reddit] [comments] |
Month: March 2021
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Current Sensing with embedded TF Lite
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By Dave Salvator, Senior Manager, Product Marketing at NVIDIA NVIDIA and Google Cloud are making it possible for applications to push the boundaries of accelerated AI across a wide array of applications. With its new A2 VM, announced today, Google Cloud provides customers the largest configuration of 16 NVIDIA A100 GPUs in a single VM. Also […]
By Dave Salvator, Senior Manager, Product Marketing at NVIDIA
NVIDIA and Google Cloud are making it possible for applications to push the boundaries of accelerated AI across a wide array of applications. With its new A2 VM, announced today, Google Cloud provides customers the largest configuration of 16 NVIDIA A100 GPUs in a single VM. Also available are smaller GPU configurations including 1, 2, 4, and 8 GPUs per VM for added flexibility. The single VM offering features NVIDIA’s NVLink Fabric to deliver greater multi-GPU scalability for ultrafast deep learning training.
Additionally, the A2 is supported by many Google Managed Services for developers:
- Google Kubernetes Engine (GKE)
- Google Cloud AI Platform training
- Dataproc – fully managed service for SPARK and DASK
- Support for A100 with pre-built VM images including versions for CUDA, TensorFlow, PyTorch, and RAPIDS
Developers can take advantage of NVIDIA NGC, a repository for containerized, pre-configured software to accelerate A100 development workflows and building solutions in Google Cloud.
Google Cloud was the first to announce their A100 private alpha program and now has referenceable customers including Cash App, which uses NVIDIA A100 GPUs to power mobile payment innovation and research. Google Cloud AI and NVIDIA delivered a 66% speedup to the processing time needed for Cash App to complete a critical machine learning workflow.
Head over to Google Cloud’s GPU Instances page to learn more about the new A2 instance.
The NVIDIA Deep Learning Institute is offering nine instructor-led workshops at this year’s GTC on a wide range of advanced software development topics in AI, accelerated computing, and data science.
The NVIDIA Deep Learning Institute is offering nine instructor-led workshops at this year’s GTC from April 12-16 on a wide range of advanced software development topics in AI, accelerated computing, and data science. Developers, data scientists, researchers, and students can get practical experience powered by GPUs in the cloud. Upon completion, participants earn an NVIDIA DLI certificate to demonstrate subject matter competency and support career growth.
The full-day workshops offer a comprehensive learning experience that includes hands-on exercises and guidance from expert instructors certified by DLI. These immersive learning experiences are offered live online in many time zones to reach developers worldwide and available in English, Traditional Chinese, Japanese and Korean.
The $249 registration fee includes interactive learning materials, guided instruction, and access to fully configured GPU-accelerated development servers for hands-on exercises.
Register here to DLI workshops at GTC or to view the full schedule. DLI workshops offered at GTC include:
- Fundamentals of Deep Learning — Build the confidence to take on a deep learning project by learning how to train a deep neural network model, work with common data types and model architectures, use transfer learning between models, and more.
- Fundamentals of Accelerated Computing with CUDA C/C++ — Find out how to accelerate CPU-only applications by exposing their latent parallelism on GPUs, using essential techniques like CUDA memory management to optimize accelerated applications.
- Fundamentals of Deep Learning for Multi-GPUs — Scale deep learning training to multiple GPUs, significantly shortening the time required to train neural networks, making solving complex problems with deep learning feasible.
- Accelerating CUDA C++ Applications with Multiple GPUs — Learn how to write CUDA C++ applications that efficiently and correctly utilize all available GPUs in a single node, dramatically improving the performance of applications and making the most cost-effective use of systems with multiple GPUs.
- Fundamentals of Accelerated Data Science with RAPIDS — Learn how to manipulate large data sets directly on the GPU using Dask and cuDF. Apply GPU-accelerated machine learning algorithms including XGBoost, cuGRAPH and cuML to perform data analysis at massive scale.
- Building Transformer-Based Natural Language Processing Applications — Learn about NLP topics like Word2Vec and recurrent neural network-based embeddings, as well as Transformer architecture features and how to improve them. Use pre-trained NLP models for text classification, named-entity recognition and question answering, and deploy refined models for live applications.
- Applications of AI for Anomaly Detection — Discover how to implement multiple AI-based solutions to identify network intrusions, using accelerated XGBoost, deep learning-based autoencoders and generative adversarial networks.
- Deep Learning for Autonomous Vehicles–Perception — Learn how to design, train, and deploy deep neural networks and optimize perception components for autonomous vehicles using the NVIDIA DRIVE development platform.
- Deep Learning for Intelligent Video Analytics — Learn how to build object detection and tracking models to analyze data from large-scale video streams using NVIDIA DeepStream technology. Complete hands-on tasks to build, train, and deploy deep learning models to analyze parking lot camera feeds of a hardware-accelerated traffic management system.
GTC is free to attend and you can register here to access over 1,400 sessions, including short DLI training labs.
Register to reserve your spot to a full-day DLI instructor-led workshop. Space is limited so register early.
Categories
Trying to run GPT-2-master, getting error
Hi there! im very new at this so if i’ve left anything out please let me know!
so far ive downloaded the file, used cd to get into it and then have done this:
conda create -n py36 python=3.6 anaconda pip3 install tensorflow==1.12.0 pip3 install -r requirements.txt python3 download_model.py 124M
and upon running
python3 src/interactive_conditional_samples.py --top_k 40
Anaconda returns
C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:523: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:524: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:532: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) 2021-03-15 16:39:25.892397: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 Traceback (most recent call last): File "src/interactive_conditional_samples.py", line 91, in <module> fire.Fire(interact_model) File "C:ProgramDataAnaconda3envspy36libsite-packagesfirecore.py", line 141, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) File "C:ProgramDataAnaconda3envspy36libsite-packagesfirecore.py", line 471, in _Fire target=component.__name__) File "C:ProgramDataAnaconda3envspy36libsite-packagesfirecore.py", line 681, in _CallAndUpdateTrace component = fn(*varargs, **kwargs) File "src/interactive_conditional_samples.py", line 65, in interact_model temperature=temperature, top_k=top_k, top_p=top_p File "C:UserslouisOneDriveDesktopgpt-2-testsrcsample.py", line 74, in sample_sequence past, prev, output = body(None, context, context) File "C:UserslouisOneDriveDesktopgpt-2-testsrcsample.py", line 66, in body logits = top_p_logits(logits, p=top_p) File "C:UserslouisOneDriveDesktopgpt-2-testsrcsample.py", line 28, in top_p_logits sorted_logits = tf.sort(logits, direction='DESCENDING', axis=-1) AttributeError: module 'tensorflow' has no attribute 'sort'
I have no idea what any of this means. if someone could help me out it would mean a lot! 🙂
submitted by /u/LouisHendrich
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Categories
How do I know if I am good enough with TF?
Sure, I can follow the guides on the official documentation. All courses, whether advanced or beginner typically fall short of some fairly common architectures.
But what is really the minimal set of skills I need to be a good deep learning engineer?
submitted by /u/aloha_microbenis
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Categories
AI agent plays Contra
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submitted by /u/1991viet [visit reddit] [comments] |
Categories
Trying to run GPT-2-master, getting error
Hi there! im very new at this so if i’ve left anything out please let me know!
so far ive downloaded the file, used cd to get into it and then have done this:
conda create -n py36 python=3.6 anaconda pip3 install tensorflow==1.12.0 pip3 install -r requirements.txt python3 download_model.py 124M
and upon running
python3 src/interactive_conditional_samples.py --top_k 40
Anaconda returns
C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:523: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:524: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:532: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) 2021-03-15 16:39:25.892397: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 Traceback (most recent call last): File "src/interactive_conditional_samples.py", line 91, in <module> fire.Fire(interact_model) File "C:ProgramDataAnaconda3envspy36libsite-packagesfirecore.py", line 141, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) File "C:ProgramDataAnaconda3envspy36libsite-packagesfirecore.py", line 471, in _Fire target=component.__name__) File "C:ProgramDataAnaconda3envspy36libsite-packagesfirecore.py", line 681, in _CallAndUpdateTrace component = fn(*varargs, **kwargs) File "src/interactive_conditional_samples.py", line 65, in interact_model temperature=temperature, top_k=top_k, top_p=top_p File "C:UserslouisOneDriveDesktopgpt-2-testsrcsample.py", line 74, in sample_sequence past, prev, output = body(None, context, context) File "C:UserslouisOneDriveDesktopgpt-2-testsrcsample.py", line 66, in body logits = top_p_logits(logits, p=top_p) File "C:UserslouisOneDriveDesktopgpt-2-testsrcsample.py", line 28, in top_p_logits sorted_logits = tf.sort(logits, direction='DESCENDING', axis=-1) AttributeError: module 'tensorflow' has no attribute 'sort'
I have no idea what any of this means. if someone could help me out it would mean a lot! 🙂
submitted by /u/LouisHendrich
[visit reddit] [comments]
Categories
AI agent plays Contra
|
|
|
submitted by /u/1991viet [visit reddit] [comments] |
Categories
Trying to run GPT-2-master, getting error
Hi there! im very new at this so if i’ve left anything out please let me know!
so far ive downloaded the file, used cd to get into it and then have done this:
conda create -n py36 python=3.6 anaconda pip3 install tensorflow==1.12.0 pip3 install -r requirements.txt python3 download_model.py 124M
and upon running
python3 src/interactive_conditional_samples.py --top_k 40
Anaconda returns
C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:523: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint8 = np.dtype([("qint8", np.int8, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:524: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint8 = np.dtype([("quint8", np.uint8, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint16 = np.dtype([("qint16", np.int16, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:526: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_quint16 = np.dtype([("quint16", np.uint16, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:527: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. _np_qint32 = np.dtype([("qint32", np.int32, 1)]) C:ProgramDataAnaconda3envspy36libsite-packagestensorflowpythonframeworkdtypes.py:532: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'. np_resource = np.dtype([("resource", np.ubyte, 1)]) 2021-03-15 16:39:25.892397: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 Traceback (most recent call last): File "src/interactive_conditional_samples.py", line 91, in <module> fire.Fire(interact_model) File "C:ProgramDataAnaconda3envspy36libsite-packagesfirecore.py", line 141, in Fire component_trace = _Fire(component, args, parsed_flag_args, context, name) File "C:ProgramDataAnaconda3envspy36libsite-packagesfirecore.py", line 471, in _Fire target=component.__name__) File "C:ProgramDataAnaconda3envspy36libsite-packagesfirecore.py", line 681, in _CallAndUpdateTrace component = fn(*varargs, **kwargs) File "src/interactive_conditional_samples.py", line 65, in interact_model temperature=temperature, top_k=top_k, top_p=top_p File "C:UserslouisOneDriveDesktopgpt-2-testsrcsample.py", line 74, in sample_sequence past, prev, output = body(None, context, context) File "C:UserslouisOneDriveDesktopgpt-2-testsrcsample.py", line 66, in body logits = top_p_logits(logits, p=top_p) File "C:UserslouisOneDriveDesktopgpt-2-testsrcsample.py", line 28, in top_p_logits sorted_logits = tf.sort(logits, direction='DESCENDING', axis=-1) AttributeError: module 'tensorflow' has no attribute 'sort'
I have no idea what any of this means. if someone could help me out it would mean a lot! 🙂
submitted by /u/LouisHendrich
[visit reddit] [comments]