dwf

Python 3.11.8 (main, Feb  6 2024, 21:21:21) [GCC 13.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import jax
2024-04-08 22:23:25.127712: E external/xla/xla/stream_executor/plugin_registry.cc:91] Invalid plugin kind specified: DNN
>>> X = jax.numpy.zeros((5000, 6000))
:1:hip_code_object.cpp      :516 : 809713991079 us: [pid:3362424 tid:0x7ffff7eaf740] hipErrorNoBinaryForGpu: Unable to find code object for all current devices!
:1:hip_code_object.cpp      :517 : 809713991085 us: [pid:3362424 tid:0x7ffff7eaf740]   Devices:
:1:hip_code_object.cpp      :520 : 809713991086 us: [pid:3362424 tid:0x7ffff7eaf740]     amdgcn-amd-amdhsa--gfx1100 - [Not Found]
:1:hip_code_object.cpp      :524 : 809713991091 us: [pid:3362424 tid:0x7ffff7eaf740]   Bundled Code Objects:
:1:hip_code_object.cpp      :540 : 809713991092 us: [pid:3362424 tid:0x7ffff7eaf740]     host-x86_64-unknown-linux-- - [Unsupported]

dwf

# Copyright 2024 Google LLC.
# SPDX-License-Identifier: Apache-2.0
{
  description = "Demo of generating a YAML file as a flake output";
  outputs = { self, nixpkgs }: let
    forAllSystems = nixpkgs.lib.genAttrs nixpkgs.lib.systems.flakeExposed;
  in {
    packages = forAllSystems (system:
      let pkgs = nixpkgs.legacyPackages.${system};
    in {

dwf

# Copyright 2022 Google LLC.
# SPDX-License-Identifier: Apache-2.0
#
# Makefile for flashing a nanoCUL stick with evofw3 using arduino-cli.
#
# Get arduino-cli and make with `nix shell nixpkgs#gnumake nixpkgs#arduino-cli`.
# Then run make -f flash-nanocul.mk.

# One of atmega328p, atmega32u4. Only tested with atmega328p, the one I have.
BOARD=atmega328p

dwf

"""
Take in a CoventryBS grid card as a text file, output regex custom fields for
Bitwarden to autofill your grid card challenge for you.
"""
from __future__ import print_function
import fileinput
import itertools
import sys

COLS = 'ABCDEFGHIJ'

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from theano import tensor

def binary_crossentropy_from_logits(logits, targets):
    """Binary cross-entropy computed from model logits.
    Parameters
    ----------
    predictions : TensorVariable
        The unnormalized log probabilities of a probabilistic binary
        classifier.
    targets : TensorVariable

dwf

  from collections import OrderedDict

from blocks.algorithms import GradientDescent, Momentum
from blocks.bricks import (
    MLP, Rectifier, Logistic, Linear, LinearMaxout, Sequence, Random
)
from blocks.extensions import Printing, Timing
from blocks.extensions.training import SharedVariableModifier
from blocks.extensions.monitoring import (DataStreamMonitoring,
                                          TrainingDataMonitoring)

dwf

dwf

sshft() {
    if [ $# -lt 2 ]; then
            echo "usage: sshft host [port|local:remote|local:bridge:remote] ...]"
        return 1
    fi
    if [ -z "$DEFAULT_SSH_PROXY_HOST" ]; then
        echo "No DEFAULT_SSH_PROXY_HOST set."
        return 1
    fi
    FIRST_SSH_ARGS="$DEFAULT_SSH_PROXY_HOST"

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# It's important not to define any classes you want serialized in
# the script you're running as pickle doesn't like that (if you pass
# save_main_loop=False to Checkpoint it's fine, though).
from theano import tensor
import numpy
import theano
from picklable_itertools import imap, izip, repeat


# Your algorithm object just needs two required methods: initialize()

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"""Fuel DataStream that segments the epochs of another DataStream."""

__license__ = """
Copyright (c) 2016 Universite de Montreal

Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies
of the Software, and to permit persons to whom the Software is furnished to do