text stringlengths 5 22M | id stringlengths 12 177 | metadata dict | __index_level_0__ int64 0 1.37k |
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<advance width="1200"/>
<unicode hex="F12EE"/>
<note>
square-off
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<?xml version='1.0' encoding='UTF-8'?>
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<unicode hex="F1563"/>
<note>
star-plus
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="step-forward-2" format="2">
<advance width="1200"/>
<unicode hex="F04D8"/>
<note>
step-forward-2
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
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subdirectory-arrow-right
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="tally-mark-1" format="2">
<advance width="1200"/>
<unicode hex="F1ABC"/>
<note>
tally-mark-1
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="temperature-kelvin" format="2">
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<unicode hex="F0506"/>
<note>
temperature-kelvin
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="timer-sand-paused" format="2">
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<note>
timer-sand-paused
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="toggle-switch-off-outline" format="2">
<advance width="1200"/>
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<note>
toggle-switch-off-outline
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="transit-connection" format="2">
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transit-connection
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="triangle-wave" format="2">
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<unicode hex="F147C"/>
<note>
triangle-wave
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="truck-fast-outline" format="2">
<advance width="1200"/>
<unicode hex="F129C"/>
<note>
truck-fast-outline
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="view-quilt-outline" format="2">
<advance width="1200"/>
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<note>
view-quilt-outline
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="wechat" format="2">
<advance width="1200"/>
<unicode hex="F0611"/>
<note>
wechat
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="widgets-outline" format="2">
<advance width="1200"/>
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<note>
widgets-outline
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="window-shutter" format="2">
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<unicode hex="F111C"/>
<note>
window-shutter
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<string>uni2630.glif</string>
<key>uniE0A0</key>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="uniE0BA" format="2">
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uniE0BA
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="uniE0CC" format="2">
<advance width="1200"/>
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<note>
uniE0CC
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<outline>
<contour>
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<point ... | cascadia-code/sources/nerdfonts/full/processed/PowerlineExtraSymbols.ufo/glyphs/uniE_0C_C_.glif/0 | {
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="POWER SYMBOL" format="2">
<advance width="1200"/>
<unicode hex="23FB"/>
<note>
POWER SYMBOL
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="arrow-small-left" format="2">
<advance width="1200"/>
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<note>
arrow-small-left
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="briefcase" format="2">
<advance width="1200"/>
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<note>
briefcase
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="chrome-maximize" format="2">
<advance width="1200"/>
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<note>
chrome-maximize
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="code" format="2">
<advance width="1200"/>
<unicode hex="EAC4"/>
<note>
code
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="desktop-download" format="2">
<advance width="1200"/>
<unicode hex="EA78"/>
<note>
desktop-download
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="files" format="2">
<advance width="1200"/>
<unicode hex="EAF0"/>
<note>
files
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="gripper" format="2">
<advance width="1200"/>
<unicode hex="EB04"/>
<note>
gripper
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<outline>
<contour>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="list-tree" format="2">
<advance width="1200"/>
<unicode hex="EB86"/>
<note>
list-tree
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="mirror" format="2">
<advance width="1200"/>
<unicode hex="EA69"/>
<note>
mirror
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<outline>
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="package" format="2">
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<note>
package
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<?xml version='1.0' encoding='UTF-8'?>
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<note>
project
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="sign-in" format="2">
<advance width="1200"/>
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<note>
sign-in
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="symbol-constant" format="2">
<advance width="1200"/>
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<note>
symbol-constant
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<?xml version='1.0' encoding='UTF-8'?>
<glyph name="symbol-ruler" format="2">
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<unicode hex="EA96"/>
<note>
symbol-ruler
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"token_count": 693
} | 693 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="terminal-tmux" format="2">
<advance width="1200"/>
<unicode hex="EBC8"/>
<note>
terminal-tmux
</note>
<outline>
<contour>
<point x="1180" y="1290" type="line"/>
<point x="1132" y="1333" type="line"/>
<point x="63" y="1333" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/terminal-tmux.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/terminal-tmux.glif",
"repo_id": "cascadia-code",
"token_count": 584
} | 694 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="type-hierarchy" format="2">
<advance width="1200"/>
<unicode hex="EBB9"/>
<note>
type-hierarchy
</note>
<outline>
<contour>
<point x="1180" y="311" type="line"/>
<point x="1132" y="353" type="line"/>
<point x="976" y="353" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/type-hierarchy.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/type-hierarchy.glif",
"repo_id": "cascadia-code",
"token_count": 1236
} | 695 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="warning" format="2">
<advance width="1200"/>
<unicode hex="EA6C"/>
<note>
warning
</note>
<outline>
<contour>
<point x="20" y="230" type="line"/>
<point x="55" y="172" type="line"/>
<point x="1145" y="172" type="line"/>
<point x="11... | cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/warning.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/codicon.ufo/glyphs/warning.glif",
"repo_id": "cascadia-code",
"token_count": 492
} | 696 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="GTK" format="2">
<advance width="1200"/>
<unicode hex="F362"/>
<note>
GTK
</note>
<outline>
<contour>
<point x="37" y="1160" type="line"/>
<point x="461" y="842" type="line"/>
<point x="676" y="908" type="line"/>
<point x="676" y="1... | cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/G_T_K_.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/glyphs/G_T_K_.glif",
"repo_id": "cascadia-code",
"token_count": 723
} | 697 |
<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>com.schriftgestaltung.appVersion</key>
<string>3241</string>
<key>com.schriftgestaltung.disablesAutomaticAlignment</key>
<true... | cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/lib.plist/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/font-logos.ufo/lib.plist",
"repo_id": "cascadia-code",
"token_count": 5689
} | 698 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="arrow-up-left" format="2">
<advance width="1200"/>
<unicode hex="F45C"/>
<note>
arrow-up-left
</note>
<outline>
<contour>
<point x="309" y="511" type="line" smooth="yes"/>
<point x="309" y="489"/>
<point x="341" y="457"/>
<point x="... | cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/arrow-up-left.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/arrow-up-left.glif",
"repo_id": "cascadia-code",
"token_count": 761
} | 699 |
<?xml version='1.0' encoding='UTF-8'?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>accessibility</key>
<string>accessibility.glif</string>
<key>accessibility-inset</key>
<string>accessibility-inset.glif</strin... | cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/contents.plist/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/contents.plist",
"repo_id": "cascadia-code",
"token_count": 8926
} | 700 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="diamond" format="2">
<advance width="1200"/>
<unicode hex="F4BF"/>
<note>
diamond
</note>
<outline>
<contour>
<point x="171" y="507" type="line" smooth="yes"/>
<point x="284" y="394"/>
<point x="511" y="167"/>
<point x="511" y="167"... | cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/diamond.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/diamond.glif",
"repo_id": "cascadia-code",
"token_count": 1200
} | 701 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="issue-opened" format="2">
<advance width="1200"/>
<unicode hex="F41B"/>
<note>
issue-opened
</note>
<outline>
<contour>
<point x="709" y="665"/>
<point x="709" y="755"/>
<point x="645" y="819"/>
<point x="555" y="819"/>
<point... | cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/issue-opened.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/octicons.ufo/glyphs/issue-opened.glif",
"repo_id": "cascadia-code",
"token_count": 866
} | 702 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="i_seti_argdown" format="2">
<advance width="1200"/>
<unicode hex="E636"/>
<note>
i_seti_argdown
</note>
<outline>
<contour>
<point x="1180" y="663" type="line"/>
<point x="923" y="663" type="line"/>
<point x="923" y="1408" type="line"/>
... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_argdown.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_argdown.glif",
"repo_id": "cascadia-code",
"token_count": 427
} | 703 |
<?xml version='1.0' encoding='UTF-8'?>
<glyph name="i_seti_rescript" format="2">
<advance width="1200"/>
<unicode hex="E688"/>
<note>
i_seti_rescript
</note>
<outline>
<contour>
<point x="1180" y="1030" type="curve" smooth="yes"/>
<point x="1180" y="1175"/>
<point x="1061" y="1287"/>
... | cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_rescript.glif/0 | {
"file_path": "cascadia-code/sources/nerdfonts/full/processed/original-source.ufo/glyphs/i_seti_rescript.glif",
"repo_id": "cascadia-code",
"token_count": 1030
} | 704 |
# Configuration file for the Sphinx documentation builder.
#
# For the full list of built-in configuration values, see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import importlib.metadata as importlib_metadata
import time
# -- Project information -------------------------------... | causica/docs/src/conf.py/0 | {
"file_path": "causica/docs/src/conf.py",
"repo_id": "causica",
"token_count": 1453
} | 705 |
"""This file is for conducting the experiments on netsim dataset"""
import argparse
import pytorch_lightning as pl
import torch
from pytorch_lightning import seed_everything
from pytorch_lightning.callbacks import ModelCheckpoint, TQDMProgressBar
from pytorch_lightning.loggers import MLFlowLogger
from scotch.latent_le... | causica/research_experiments/scotch/src/scotch/experiments/netsim.py/0 | {
"file_path": "causica/research_experiments/scotch/src/scotch/experiments/netsim.py",
"repo_id": "causica",
"token_count": 2323
} | 706 |
import itertools
import random
import warnings
from itertools import zip_longest
from typing import Iterable, Iterator
import torch
from torch.utils.data import BatchSampler, Sampler, SubsetRandomSampler
class SubsetBatchSampler(Sampler[list[int]]):
"""A Pytorch batch sampler that samples batches from a list of ... | causica/src/causica/datasets/samplers.py/0 | {
"file_path": "causica/src/causica/datasets/samplers.py",
"repo_id": "causica",
"token_count": 1563
} | 707 |
from typing import Optional
import torch
import torch.distributions as td
import torch.nn.functional as F
from torch import nn
from causica.distributions.noise.noise import IndependentNoise, Noise, NoiseModule
class BernoulliNoise(td.Bernoulli, Noise):
def __init__(self, delta_logits: torch.Tensor, base_logits:... | causica/src/causica/distributions/noise/bernoulli.py/0 | {
"file_path": "causica/src/causica/distributions/noise/bernoulli.py",
"repo_id": "causica",
"token_count": 1650
} | 708 |
import torch
from tensordict import TensorDict
from causica.functional_relationships.functional_relationships import FunctionalRelationships
from causica.nn import DECIEmbedNN
class DECIEmbedFunctionalRelationships(FunctionalRelationships):
"""
This is a `FunctionalRelationsips` that wraps the `DECIEmbedNN` ... | causica/src/causica/functional_relationships/deci_functional_relationships.py/0 | {
"file_path": "causica/src/causica/functional_relationships/deci_functional_relationships.py",
"repo_id": "causica",
"token_count": 348
} | 709 |
from typing import Sequence
from lightning_utilities.core.rank_zero import rank_zero_only
from mlflow.entities import Metric, Param, RunTag
from pytorch_lightning.loggers import MLFlowLogger
class BufferingMlFlowLogger(MLFlowLogger):
"""MlFlowLogger that buffers metrics on logging and flushes on finalize or when... | causica/src/causica/lightning/loggers.py/0 | {
"file_path": "causica/src/causica/lightning/loggers.py",
"repo_id": "causica",
"token_count": 909
} | 710 |
from typing import Any, Iterable, Optional, Type, Union
from torch import Tensor
from torchmetrics import Metric, MetricCollection
from torchmetrics.regression import MeanAbsoluteError, MeanAbsolutePercentageError
from torchmetrics.wrappers import MultitaskWrapper
class MeanAbsoluteErrorWithThreshold(MeanAbsoluteErr... | causica/src/causica/training/per_variable_metrics.py/0 | {
"file_path": "causica/src/causica/training/per_variable_metrics.py",
"repo_id": "causica",
"token_count": 1299
} | 711 |
import numpy as np
import torch
from torch.distributions.utils import probs_to_logits
from causica.distributions import ThreeWayAdjacencyDistribution
def test_threeway_entropy():
"""Test entropy is correct for a known distribution"""
num_nodes = 3
logits = torch.nn.Parameter(
torch.zeros(((num_no... | causica/test/distributions/adjacency/test_three_way.py/0 | {
"file_path": "causica/test/distributions/adjacency/test_three_way.py",
"repo_id": "causica",
"token_count": 568
} | 712 |
import math
import pytest
import torch
from tensordict import TensorDict
from causica.functional_relationships import (
DECIEmbedFunctionalRelationships,
LinearFunctionalRelationships,
RFFFunctionalRelationships,
)
@pytest.fixture(name="two_variable_dict")
def fixture_two_variable_dict():
return {"x... | causica/test/functional_relationships/test_functional_relationships.py/0 | {
"file_path": "causica/test/functional_relationships/test_functional_relationships.py",
"repo_id": "causica",
"token_count": 6838
} | 713 |
import math
import pytest
import torch
from tensordict import TensorDict
from causica.sem.structural_equation_model import ate, counterfactual, ite
from . import create_lingauss_sem
@pytest.fixture(name="two_variable_dict")
def fixture_two_variable_dict():
return {"x1": torch.Size([1]), "x2": torch.Size([2])}
... | causica/test/sem/test_treatment_effects.py/0 | {
"file_path": "causica/test/sem/test_treatment_effects.py",
"repo_id": "causica",
"token_count": 1417
} | 714 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
###########################################################################################
# 3D MODELS AS USED In THE PAPER: #
# Clifford Neural Layers for PDE Modeling ... | cliffordlayers/cliffordlayers/models/basic/threed.py/0 | {
"file_path": "cliffordlayers/cliffordlayers/models/basic/threed.py",
"repo_id": "cliffordlayers",
"token_count": 3375
} | 715 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import math
import torch
import torch.nn.functional as F
from torch import nn
from ...cliffordkernels import (
get_1d_clifford_kernel,
get_2d_clifford_kernel,
get_3d_clifford_kernel,
)
from ...signature import CliffordSignature
cl... | cliffordlayers/cliffordlayers/nn/modules/cliffordlinear.py/0 | {
"file_path": "cliffordlayers/cliffordlayers/nn/modules/cliffordlinear.py",
"repo_id": "cliffordlayers",
"token_count": 1465
} | 716 |
{% extends "main.html" %}
<!-- Render hero under tabs -->
{% block tabs %}
{{ super() }}
<!-- github button -->
<script async defer src="https://buttons.github.io/buttons.js"></script>
<style>
.md-footer-copyright {
display: none
}
.md-footer-nav__inner {
display: none
}
.md-conten... | cliffordlayers/docs/overrides/home.html/0 | {
"file_path": "cliffordlayers/docs/overrides/home.html",
"repo_id": "cliffordlayers",
"token_count": 5024
} | 717 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import torch
import torch.nn as nn
from cliffordlayers.nn.modules.cliffordfourier_deprecated import (
CliffordSpectralConv2d_deprecated,
CliffordSpectralConv3d_deprecated,
)
from cliffordlayers.nn.modules.cliffordfourier import (
Clif... | cliffordlayers/tests/test_clifford_fourier.py/0 | {
"file_path": "cliffordlayers/tests/test_clifford_fourier.py",
"repo_id": "cliffordlayers",
"token_count": 2226
} | 718 |
# Sharing Updatable Models (SUM) on Blockchain Demo
(formerly Decentralized & Collaborative AI on Blockchain Demo)
[](https://github.com/microsoft/0xDeCA10B/actions/workflows/demo-test.yml)
A dashboard and examp... | 0xDeCA10B/demo/README.md/0 | {
"file_path": "0xDeCA10B/demo/README.md",
"repo_id": "0xDeCA10B",
"token_count": 2571
} | 0 |
import React from 'react'
import ReactDOM from 'react-dom'
import App from '../App'
it('renders without crashing', () => {
const div = document.createElement('div')
ReactDOM.render(<App />, div)
ReactDOM.unmountComponentAtNode(div)
})
| 0xDeCA10B/demo/client/src/__tests__/App.test.js/0 | {
"file_path": "0xDeCA10B/demo/client/src/__tests__/App.test.js",
"repo_id": "0xDeCA10B",
"token_count": 79
} | 1 |
pragma solidity ^0.6;
import "../../../lib/SafeMath.sol";
import {Ownable} from "../ownership/Ownable.sol";
/**
* Stores information for added training data and corresponding meta-data.
*/
interface DataHandler {
function updateClaimableAmount(bytes32 dataKey, uint rewardAmount) external;
}
/**
* Stores info... | 0xDeCA10B/demo/client/src/contracts/data/DataHandler.sol/0 | {
"file_path": "0xDeCA10B/demo/client/src/contracts/data/DataHandler.sol",
"repo_id": "0xDeCA10B",
"token_count": 3874
} | 2 |
import assert from 'assert'
import Web3 from 'web3'
import { convertNum } from '../../float-utils'
import { ModelDeployer } from '../deploy-model'
import { CentroidInfo, DensePerceptronModel, Model, NaiveBayesModel, NearestCentroidModel, SparseCentroidInfo, SparseNearestCentroidModel, SparsePerceptronModel } from '../m... | 0xDeCA10B/demo/client/src/ml-models/__tests__/deploy-model.test.ts/0 | {
"file_path": "0xDeCA10B/demo/client/src/ml-models/__tests__/deploy-model.test.ts",
"repo_id": "0xDeCA10B",
"token_count": 3287
} | 3 |
// In production, we register a service worker to serve assets from local cache.
// This lets the app load faster on subsequent visits in production, and gives
// it offline capabilities. However, it also means that developers (and users)
// will only see deployed updates on the "N+1" visit to a page, since previously... | 0xDeCA10B/demo/client/src/registerServiceWorker.js/0 | {
"file_path": "0xDeCA10B/demo/client/src/registerServiceWorker.js",
"repo_id": "0xDeCA10B",
"token_count": 1410
} | 4 |
const NaiveBayesClassifier = artifacts.require("./classification/NaiveBayesClassifier")
const { convertNum } = require('../../../src/float-utils-node')
contract('NaiveBayesClassifier', function (accounts) {
const toFloat = 1E9
const smoothingFactor = convertNum(1, web3, toFloat)
const classifications = ["ALARM", ... | 0xDeCA10B/demo/client/test/contracts/classification/naivebayes.js/0 | {
"file_path": "0xDeCA10B/demo/client/test/contracts/classification/naivebayes.js",
"repo_id": "0xDeCA10B",
"token_count": 2787
} | 5 |
#!/bin/bash
set -ex
if [ "${CI}" == "true" ]; then
# Don't do globally in CI because of possible permissions issues.
npm install yarn
else
npm install -g yarn
fi
yarn install
(cd client && yarn install)
./setup_libs.sh
| 0xDeCA10B/demo/setup.sh/0 | {
"file_path": "0xDeCA10B/demo/setup.sh",
"repo_id": "0xDeCA10B",
"token_count": 84
} | 6 |
from skmultiflow.trees import HAT, RegressionHAT
from decai.simulation.contract.classification.scikit_classifier import SciKitClassifierModule
class DecisionTreeModule(SciKitClassifierModule):
def __init__(self, regression=False):
if regression:
model_initializer = lambda: RegressionHAT(
... | 0xDeCA10B/simulation/decai/simulation/contract/classification/decision_tree.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/contract/classification/decision_tree.py",
"repo_id": "0xDeCA10B",
"token_count": 260
} | 7 |
import unittest
from collections import defaultdict
from typing import cast
from injector import Injector
from decai.simulation.contract.balances import Balances
from decai.simulation.contract.classification.perceptron import PerceptronModule
from decai.simulation.contract.data.data_handler import StoredData
from dec... | 0xDeCA10B/simulation/decai/simulation/contract/incentive/tests/test_prediction_market.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/contract/incentive/tests/test_prediction_market.py",
"repo_id": "0xDeCA10B",
"token_count": 8090
} | 8 |
import itertools
import json
import os
import random
import time
from collections import Counter
from dataclasses import dataclass
from enum import Enum
from logging import Logger
from operator import itemgetter
from pathlib import Path
from typing import Collection, List, Optional, Tuple
import numpy as np
import pan... | 0xDeCA10B/simulation/decai/simulation/data/news_data_loader.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/data/news_data_loader.py",
"repo_id": "0xDeCA10B",
"token_count": 5986
} | 9 |
import os
import sys
import math
from injector import inject, Injector
from decai.simulation.contract.classification.classifier import Classifier
from decai.simulation.contract.classification.decision_tree import DecisionTreeModule
from decai.simulation.contract.collab_trainer import DefaultCollaborativeTrainerModule... | 0xDeCA10B/simulation/decai/simulation/simulate_titanic_dt.py/0 | {
"file_path": "0xDeCA10B/simulation/decai/simulation/simulate_titanic_dt.py",
"repo_id": "0xDeCA10B",
"token_count": 1440
} | 10 |
authorName: default
experimentName: cifar10
trialConcurrency: 1
maxExecDuration: 1h
maxTrialNum: 10
trainingServicePlatform: local
searchSpacePath: search_space.json
useAnnotation: false
tuner:
builtinTunerName: TPE
trial:
command: python main.py
codeDir: .
gpuNum: 0
| AI-System/Labs/AdvancedLabs/Lab8/hpo-answer/config.yml/0 | {
"file_path": "AI-System/Labs/AdvancedLabs/Lab8/hpo-answer/config.yml",
"repo_id": "AI-System",
"token_count": 94
} | 11 |
from setuptools import setup
from torch.utils.cpp_extension import BuildExtension, CUDAExtension
setup(
name='mylinear_cuda',
ext_modules=[
CUDAExtension('mylinear_cuda', [
'mylinear_cuda.cpp',
'mylinear_cuda_kernel.cu',
])
],
cmdclass={
'build_ext': Buil... | AI-System/Labs/BasicLabs/Lab3/mylinear_cuda_extension/setup.py/0 | {
"file_path": "AI-System/Labs/BasicLabs/Lab3/mylinear_cuda_extension/setup.py",
"repo_id": "AI-System",
"token_count": 155
} | 12 |
# Docker部署PyTorch推理程序
## 创建TorchServe镜像
#### 准备TorchServe源码:
```bash
# $BRANCH_NAME可以指定需要使用的版本
$ BRANCH_NAME=v0.1.0
$ rm -rf serve
$ git clone https://github.com/pytorch/serve.git
$ cd serve
$ git checkout -b $BRANCH_NAME
$ cd ..
```
#### 创建基于CPU镜像:
```bash
$ docker build --file Dockerfile.infer.cpu -t torchserve:0.1... | AI-System/Labs/BasicLabs/Lab5/inference.md/0 | {
"file_path": "AI-System/Labs/BasicLabs/Lab5/inference.md",
"repo_id": "AI-System",
"token_count": 4262
} | 13 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 10.2.1 分布式强化学习算法
- [10.2.1 分布式强化学习算法](#1021-分布式强化学习算法)
- [基本概念](#基本概念)
- [分布式强化学习算法的发展](#分布式强化学习算法的发展)
- [DQN](#dqn)
- [GORILA](#gorila)
- [A3C](#a3c)
- [Ape... | AI-System/Textbook/第10章-强化学习系统/10.2.1-分布式强化学习算法.md/0 | {
"file_path": "AI-System/Textbook/第10章-强化学习系统/10.2.1-分布式强化学习算法.md",
"repo_id": "AI-System",
"token_count": 11186
} | 14 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 11.2 基于稀疏化的模型压缩
- [11.2 基于稀疏化的模型压缩](#112-基于稀疏化的模型压缩)
- [11.2.1 人类大脑的稀疏性](#1121-人类大脑的稀疏性)
- [11.2.2 深度神经网络的稀疏性](#1122-深度神经网络的稀疏性)
- [权重稀疏](#权重稀疏)
- [激活稀疏](#激活稀疏)
... | AI-System/Textbook/第11章-模型压缩与加速/11.2-基于稀疏化的模型压缩.md/0 | {
"file_path": "AI-System/Textbook/第11章-模型压缩与加速/11.2-基于稀疏化的模型压缩.md",
"repo_id": "AI-System",
"token_count": 8490
} | 15 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 13.1 简介与趋势
我们介绍学习增强系统的初衷和范式转移。本章包含以下内容：
- [13.1 简介与趋势](#131-简介与趋势)
- [13.1.1 系统设计的范式转移](#1311-系统设计的范式转移)
- [小结与讨论](#小结与讨论)
- [参考文献](#参考文献)
## 13.1.1 系统设计的范式转移
计算机系统的设计... | AI-System/Textbook/第13章-人工智能优化计算机系统/13.1-简介与趋势.md/0 | {
"file_path": "AI-System/Textbook/第13章-人工智能优化计算机系统/13.1-简介与趋势.md",
"repo_id": "AI-System",
"token_count": 3561
} | 16 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 7.1 异构计算集群管理系统简介
本章介绍异构集群管理系统的设计初衷，需要解决的问题及挑战，并通过启发式实例以更为具象的方式展开介绍。之后我们会交替使用集群管理系统与平台代表当前的异构计算集群管理系统。
在展开前，我们回顾一下操作系统是什么？[操作系统](https://en.wikipedia.org/wiki/Operating_system)... | AI-System/Textbook/第7章-异构计算集群调度与资源管理系统/7.1-异构计算集群管理系统简介.md/0 | {
"file_path": "AI-System/Textbook/第7章-异构计算集群调度与资源管理系统/7.1-异构计算集群管理系统简介.md",
"repo_id": "AI-System",
"token_count": 16865
} | 17 |
<!--Copyright © Microsoft Corporation. All rights reserved.
适用于[License](https://github.com/microsoft/AI-System/blob/main/LICENSE)版权许可-->
# 9.1 自动机器学习
- [9.1 自动机器学习](#91-自动机器学习)
- [9.1.1 超参数优化](#911-超参数优化)
- [9.1.2 神经网络结构搜索](#912-神经网络结构搜索)
- [小结与讨论](#小结与讨论)
- [参考文献](#参考文献)
自动机器学习的核心是机器学习模型，对给定任务自动设计相应模型，这个... | AI-System/Textbook/第9章-自动化机器学习系统/9.1-自动化机器学习.md/0 | {
"file_path": "AI-System/Textbook/第9章-自动化机器学习系统/9.1-自动化机器学习.md",
"repo_id": "AI-System",
"token_count": 19757
} | 18 |
# MLHyperparameterTuning Pipeline
trigger:
batch: true
branches:
include:
- master
variables:
- group: AzureKeyVault
jobs:
- job: MLHyperparameterTuningJob
timeoutInMinutes: 300
cancelTimeoutInMinutes: 2
pool:
vmImage: 'Ubuntu-16.04'
steps:
- bash: |
source /usr/share/miniconda/etc/... | AI/.ci/python-ml-training.yml/0 | {
"file_path": "AI/.ci/python-ml-training.yml",
"repo_id": "AI",
"token_count": 1812
} | 19 |
# Deploy Python Development Stage
#
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
#
# Job: Run Unit Tests and Static Code Analysis
#
# Step 1: Install Python Version 3.7
# Step 2: Authenticate with Private Pypi
# Step 3: Update Pip
# Step 4: Install Tox
# Step 5: Use Tox ... | AI/.ci/stage/python_development_stage.yml/0 | {
"file_path": "AI/.ci/stage/python_development_stage.yml",
"repo_id": "AI",
"token_count": 980
} | 20 |
parameters:
azureSubscription: ''
azure_subscription: ''
location: "."
azureresourcegroup: dcibhpdl
workspacename: dcibhpwsdl
azureregion: westus2
aksimagename: dcibhpaksdl
aks_name: dcibhpaksdl
aks_service_name: dcibhpaksdlapi
doCleanup: true
flighting_release: false
flighting_preview: false
... | AI/.ci/steps/RMLAKSDeployAMLJob.yml/0 | {
"file_path": "AI/.ci/steps/RMLAKSDeployAMLJob.yml",
"repo_id": "AI",
"token_count": 496
} | 21 |
parameters:
root: C:\Anaconda\envs\
conda_env: # this param must be set
steps:
- script: |
call conda env remove -n ${{parameters.conda_env}} -y
if exist ${{parameters.root}}${{parameters.conda_env}} rmdir /s /q ${{parameters.root}}${{parameters.conda_env}}
displayName: 'Remove Conda Env if it exists'
-... | AI/.ci/steps/reco_conda_config_win.yml/0 | {
"file_path": "AI/.ci/steps/reco_conda_config_win.yml",
"repo_id": "AI",
"token_count": 204
} | 22 |
from os.path import join
import sys
sys.path += ['../']
import argparse
import json
import os
import random
import numpy as np
import torch
from torch.utils.data import Dataset, TensorDataset
from model.models import MSMarcoConfigDict, ALL_MODELS
import csv
from utils.util import multi_file_process, numbered_byte_file_... | ANCE/data/DPR_data.py/0 | {
"file_path": "ANCE/data/DPR_data.py",
"repo_id": "ANCE",
"token_count": 6768
} | 23 |
from setuptools import setup
with open('SEED-Encoder.md') as f:
readme = f.read()
setup(
name='SEED-Encoder',
long_description=readme,
install_requires=[
'scikit-learn',
'pandas',
'tensorboardX',
'tqdm',
'tokenizers==0.9.2',
'six',
],
) | ANCE/model/SEED_Encoder/setup.py/0 | {
"file_path": "ANCE/model/SEED_Encoder/setup.py",
"repo_id": "ANCE",
"token_count": 155
} | 24 |
"""
Code for self-training with weak supervision.
Author: Giannis Karamanolakis (gkaraman@cs.columbia.edu)
"""
import os
import numpy as np
import random
from weaksource import SMSRules, TRECRules, YoutubeRules, CENSUSRules, MITRRules, SPOUSERules
from RuleAttentionNetwork import RAN
supported_weak_sources = {
's... | ASTRA/astra/Teacher.py/0 | {
"file_path": "ASTRA/astra/Teacher.py",
"repo_id": "ASTRA",
"token_count": 4793
} | 25 |
. ./venv/bin/activate
seed=110
python -m torch.distributed.launch --nproc_per_node=1 src/gpt2_ft.py \
--train_data ./data/webnlg_challenge_2017/train.jsonl \
--valid_data ./data/webnlg_challenge_2017/valid.jsonl \
--train_batch_size 8 \
--grad_acc 1 \
--valid_batch_size 4 \
--seq_len 512 \
--model_card gpt2.md \
--in... | AdaMix/NLG/run_train_webnlg_lora_only.sh/0 | {
"file_path": "AdaMix/NLG/run_train_webnlg_lora_only.sh",
"repo_id": "AdaMix",
"token_count": 339
} | 26 |
# ------------------------------------------------------------------------------------------
# Copyright (c). All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -----------------------------------------------------------------------------------------... | AdaMix/NLG/src/optimizer.py/0 | {
"file_path": "AdaMix/NLG/src/optimizer.py",
"repo_id": "AdaMix",
"token_count": 6410
} | 27 |
FROM google/cloud-sdk:slim
# Build args.
ARG GITHUB_REF=refs/heads/master
# TODO: This Dockerfile installs pytorch/xla 3.6 wheels. There are also 3.7
# wheels available; see below.
ENV PYTHON_VERSION=3.6
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
cmake \
... | AdaMix/docker/transformers-pytorch-tpu/Dockerfile/0 | {
"file_path": "AdaMix/docker/transformers-pytorch-tpu/Dockerfile",
"repo_id": "AdaMix",
"token_count": 1229
} | 28 |
..
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | AdaMix/docs/source/main_classes/feature_extractor.rst/0 | {
"file_path": "AdaMix/docs/source/main_classes/feature_extractor.rst",
"repo_id": "AdaMix",
"token_count": 394
} | 29 |
..
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | AdaMix/docs/source/model_doc/bertweet.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/bertweet.rst",
"repo_id": "AdaMix",
"token_count": 751
} | 30 |
..
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | AdaMix/docs/source/model_doc/funnel.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/funnel.rst",
"repo_id": "AdaMix",
"token_count": 1794
} | 31 |
..
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | AdaMix/docs/source/model_doc/phobert.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/phobert.rst",
"repo_id": "AdaMix",
"token_count": 699
} | 32 |
..
Copyright 2021 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with
the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by ... | AdaMix/docs/source/model_doc/xlsr_wav2vec2.rst/0 | {
"file_path": "AdaMix/docs/source/model_doc/xlsr_wav2vec2.rst",
"repo_id": "AdaMix",
"token_count": 695
} | 33 |
name: NLU
channels:
- pytorch
- nvidia
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=4.5=1_gnu
- blas=1.0=mkl
- bzip2=1.0.8=h7b6447c_0
- ca-certificates=2021.7.5=h06a4308_1
- certifi=2021.5.30=py37h06a4308_0
- cudatoolkit=11.1.74=h6bb024c_0
- ffmpeg=4.3=hf484d3e_0
- freetype=... | AdaMix/environment.yml/0 | {
"file_path": "AdaMix/environment.yml",
"repo_id": "AdaMix",
"token_count": 1761
} | 34 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | AdaMix/examples/legacy/multiple_choice/run_multiple_choice.py/0 | {
"file_path": "AdaMix/examples/legacy/multiple_choice/run_multiple_choice.py",
"repo_id": "AdaMix",
"token_count": 3257
} | 35 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in co... | AdaMix/examples/legacy/run_transfo_xl.py/0 | {
"file_path": "AdaMix/examples/legacy/run_transfo_xl.py",
"repo_id": "AdaMix",
"token_count": 2277
} | 36 |
#!/usr/bin/env python
# coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | AdaMix/examples/legacy/token-classification/run_tf_ner.py/0 | {
"file_path": "AdaMix/examples/legacy/token-classification/run_tf_ner.py",
"repo_id": "AdaMix",
"token_count": 4667
} | 37 |
<!---
Copyright 2020 The HuggingFace Team. All rights reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or ... | AdaMix/examples/research_projects/README.md/0 | {
"file_path": "AdaMix/examples/research_projects/README.md",
"repo_id": "AdaMix",
"token_count": 279
} | 38 |
# MIT License
# Copyright (c) 2019 Yang Liu and the HuggingFace team
# 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, c... | AdaMix/examples/research_projects/bertabs/modeling_bertabs.py/0 | {
"file_path": "AdaMix/examples/research_projects/bertabs/modeling_bertabs.py",
"repo_id": "AdaMix",
"token_count": 17889
} | 39 |
import argparse
import logging
import sys
from unittest.mock import patch
import run_glue_deebert
from transformers.testing_utils import TestCasePlus, get_gpu_count, require_torch_non_multi_gpu, slow
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger()
def get_setup_file():
parser = argparse.... | AdaMix/examples/research_projects/deebert/test_glue_deebert.py/0 | {
"file_path": "AdaMix/examples/research_projects/deebert/test_glue_deebert.py",
"repo_id": "AdaMix",
"token_count": 1862
} | 40 |
{
"initializer_range": 0.02,
"layer_norm_epsilon": 0.00001,
"n_ctx": 1024,
"n_embd": 768,
"n_head": 12,
"n_layer": 6,
"n_positions": 1024,
"vocab_size": 50257
} | AdaMix/examples/research_projects/distillation/training_configs/distilgpt2.json/0 | {
"file_path": "AdaMix/examples/research_projects/distillation/training_configs/distilgpt2.json",
"repo_id": "AdaMix",
"token_count": 88
} | 41 |
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