sararob

# Copyright 2021 Google LLC.
# SPDX-License-Identifier: Apache-2.0
import kfp
import json
import time
from google.cloud import bigquery
from google.cloud.exceptions import NotFound
from kfp.v2.google.client import AIPlatformClient

client = bigquery.Client()

CallmeMehdi

TF-Hub text embedding modules for underrepresented languages

Mentors:

• Morgan Roff
• Sayak Paul
• jaeyounkim

This is a summary of my GSoC 2021 project. In this project, I tried to produce text embedding modules trained on underrepresented languages like Arabic and Swahili and publish them on tfhub.dev.

simonster

# Copyright 2022 Google LLC.
# SPDX-License-Identifier: Apache-2.0
# Author: Maithra Raghu <[email protected]>


def compute_distance_matrix(patch_size, num_patches, length):
  """Helper function to compute distance matrix."""

  distance_matrix = np.zeros((num_patches, num_patches))

gau-nernst

import torch
from diffusers import FluxPipeline
from torch import nn


class ModelOffloaderV2:
    def __init__(self, model: nn.Module, record_stream: bool = False):
        # move model to pinned memory. keep a model copy in CPU pinned memory.
        for p in model.parameters():
            p.data = p.data.cpu().pin_memory()