Pytorch is a Python - based framework in machine learning primarily used for scientific computations and to build deep learning models. A Tensor is a popular concept in Machine learning and Data science. Tensors
PyTorch/TensorFlow code environment on AMD GPUs. ROCm is a maturing ecosystem and more GitHub codes will eventually contain ROCm/HIPified ports. Future posts to AMD lab notes will discuss the specifics of porting from CUDA to HIP, as well guides to running popular community models from...
Job executed for models: meta-textgeneration-llama-2-7b-f, pytorch-textgeneration1-alexa20b. For a custom prompt dataset to pass all validations the following must be true for all JSON objects in the JSON lines file. Each line in the prompt dataset file must be a valid JSON object...
This section describes how to create an image and use the image for training on the ModelArts platform. The AI engine used for training is PyTorch, and the resources are
NATIVE USERS: Put this file intodalle/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckptafter finishing the rest of the steps under "Run natively". Follow the instructions below carefully because SD is not enabled by default. Run in Docker ...
This repository contains a template for use in creating a Target Model for Autodistill. Autodistill works with two categories of model: A Base Model. This is a large model that knows (or combination of models that know) how to identify many different objects. A Target Model. This is a mo...
POST https://{endpoint}/v1/{project_id}/models { "model_name" : "mnist", "model_version" : "1.0.0", "source_location" : "https://models.obs.xxxxx.com/mnist", "source_job_id" : "55", "source_job_version" : "V100", "model_type" : "TensorFlow", "runtime" : "python2.7"...
I am trying to create a Pipeline with 3 sub-models: a Feature Vectorizer -> a NN regressor converted from PyTorch -> a Feature Extractor (to convert the output tensor to a Double value). The pipeline works fine when I use just a Vectorizer and an Extractor, this is the code: ...
To examine and work with data models in an isolated area, you can create a workbench. This workbench enables you to create a new Jupyter notebook from an existing notebook container image to access its resources and...
Specifically, for array-like objects such as a PyTorch tensor, the same Python object will not be received by any call to op_input.receive() in a downstream Python operator (even if the upstream and downstream operators are part of the same fragment). An object of type holoscan.Tensor ...