Original | Model |
---|---|
She heard Missis Gibson talking on in a sweet monotone, and wished to attend to what she was saying, but the Squires visible annoyance struck sharper on her mind. | She heard Missis Gibson talking on in a sweet monotone and wished to attend to what she was saying, but the squires visible ann |
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{ | |
echo To: YOUR_EMAIL@gmail.com | |
echo From: YOUR_EMAIL@gmail.com | |
echo Subject: Temperature warning! $TIMESTAMP | |
echo Current CPU temperature is $TEMP | |
} | ssmtp YOUR_EMAIL@gmail.com |
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diff --git a/include/contrib/moderngpu/include/device/intrinsics.cuh b/include/contrib/moderngpu/include/device/intrinsics.cuh | |
index a601443..c212a38 100644 | |
--- a/include/contrib/moderngpu/include/device/intrinsics.cuh | |
+++ b/include/contrib/moderngpu/include/device/intrinsics.cuh | |
@@ -112,7 +112,7 @@ __device__ __forceinline__ float shfl_up(float var, | |
unsigned int delta, int width = 32) { | |
#if __CUDA_ARCH__ >= 300 | |
- var = __shfl_up(var, delta, width); | |
+ var = __shfl_up_sync(0xFFFFFFFF, var, delta, width); |
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def printProgressBar (iteration, total, prefix = '', suffix = '', decimals = 1, length = 100, fill = '█'): | |
""" | |
Call in a loop to create terminal progress bar | |
@params: | |
iteration - Required : current iteration (Int) | |
total - Required : total iterations (Int) | |
prefix - Optional : prefix string (Str) | |
suffix - Optional : suffix string (Str) | |
decimals - Optional : positive number of decimals in percent complete (Int) | |
length - Optional : character length of bar (Int) |
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class BertEmbeddingBag(nn.Module): | |
"""Construct the embeddings from word, position and token_type embeddings. | |
""" | |
def __init__(self, config): | |
super(BertEmbeddingBag, self).__init__() | |
# self.word_embeddings = nn.Embedding(config.vocab_size, config.hidden_size) | |
ngram_matrix=np.load(config.ngram_matrix_path) | |
self.old_bag = config.old_bag |
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# add 7z tar and zip archivers | |
FROM nvidia/cuda:9.0-cudnn7-devel | |
# https://docs.docker.com/engine/examples/running_ssh_service/ | |
RUN apt-get update && apt-get install -y openssh-server | |
RUN mkdir /var/run/sshd | |
RUN echo 'root:Ubuntu@41' | chpasswd | |
RUN sed -i 's/PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config | |
RUN sed -i 's/#PasswordAuthentication yes/PasswordAuthentication no/' /etc/ssh/sshd_config | |
RUN mkdir ~/.ssh/ |
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import torch | |
torch.set_num_threads(1) | |
from pprint import pprint | |
model, utils = torch.hub.load(repo_or_dir='snakers4/silero-vad', | |
model='silero_vad', | |
force_reload=True) | |
(get_speech_ts, | |
_, read_audio, |
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import gc | |
import tqdm | |
import faiss | |
import bcolz | |
import os,sys | |
import numpy as np | |
from tqdm import tqdm | |
# open the stored bcolz array | |
# note that these vectors have to be 280 dimensional |
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import torch | |
import itertools | |
# Based on https://github.com/bfs18/tacotron2 | |
def grads_for_params(loss, parameters, optimizer): | |
optimizer.zero_grad() | |
loss.backward(retain_graph=True) |
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import torch | |
model, example_texts, languages, punct, apply_te = torch.hub.load(repo_or_dir='snakers4/silero-models', | |
model='silero_te') | |
input_text = input('Enter input text\n') | |
apply_te(input_text, lan='en') |