python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# See notes in typer_base.py for how the type computation logic works.
#
# This typer identifies the tensor size associated with a graph nod... | beanmachine-main | src/beanmachine/ppl/compiler/sizer.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphBuilder
from beanmachine.ppl.co... | beanmachine-main | src/beanmachine/ppl/compiler/fix_bool_comparisons.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from beanmachine.ppl.model.statistical_model import functional, random_variable
allowed_functions = {dict, list, set, super, random_variabl... | beanmachine-main | src/beanmachine/ppl/compiler/beanstalk_common.py |
beanmachine-main | src/beanmachine/ppl/compiler/__init__.py | |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
#
# Tensorizing and detensorizing
#
# TODO: The fact that we use vectorizing and tensorizing as synonyms throughout all this code is
# unnec... | beanmachine-main | src/beanmachine/ppl/compiler/devectorizer_transformer.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Debugging tools for working with ASTs"""
# This module just has some helpful tools that can be used for visualizing
# Python ASTs when d... | beanmachine-main | src/beanmachine/ppl/compiler/ast_tools.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""A rules engine for tree transformation"""
from abc import ABC, abstractmethod
from typing import Any, Callable, Di... | beanmachine-main | src/beanmachine/ppl/compiler/rules.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphBuilder
from beanmachine.ppl.co... | beanmachine-main | src/beanmachine/ppl/compiler/fix_bool_arithmetic.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from collections import defaultdict
from typing import Dict, List
from beanmachine.ppl.compiler import bmg_nodes as bn
from beanmachine.p... | beanmachine-main | src/beanmachine/ppl/compiler/gen_bm_python.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import collections
import typing
from typing import Callable, Dict, List, Optional, Type
import beanmachine.ppl.compiler.bmg_nodes as bn
f... | beanmachine-main | src/beanmachine/ppl/compiler/copy_and_replace.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""This module takes a Bean Machine Graph builder and makes a best
effort attempt to transform the accumulated graph to meet the
requirement... | beanmachine-main | src/beanmachine/ppl/compiler/fix_requirements.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Tools to transform Bean Machine programs to Bean Machine Graph"""
# TODO: This module is badly named; it really s... | beanmachine-main | src/beanmachine/ppl/compiler/single_assignment.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# TODO: Update this comment
"""A builder for the BeanMachine Graph language
The Beanstalk compiler has, at a high level, five phases.
* F... | beanmachine-main | src/beanmachine/ppl/compiler/runtime.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import typing
from typing import Callable, List
from torch import Size
def identity_fnc(a: List[int]) -> List[int]:
retur... | beanmachine-main | src/beanmachine/ppl/compiler/broadcaster.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from abc import ABC, ABCMeta
from typing import Any, Iterable, List
import beanmachine.ppl.compiler.bmg_types as bt
import torch
from beanm... | beanmachine-main | src/beanmachine/ppl/compiler/bmg_nodes.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import List, Optional, Union
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compiler.bm_graph_builder im... | beanmachine-main | src/beanmachine/ppl/compiler/copy_transformer.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Callable, List, Optional, Tuple, Type, Union
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compil... | beanmachine-main | src/beanmachine/ppl/compiler/fix_problem.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Dict, List
import beanmachine.ppl.compiler.bmg_nodes as bn
import torch
from beanmachine.ppl.compiler.bm_graph_builder i... | beanmachine-main | src/beanmachine/ppl/compiler/gen_bmg_python.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphBuilder
from beanmachine.ppl.co... | beanmachine-main | src/beanmachine/ppl/compiler/fix_logsumexp.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# See notes in typer_base.py for how the type computation logic works.
# See notes in bmg_types.py for the type lattice documentation.
#
# T... | beanmachine-main | src/beanmachine/ppl/compiler/lattice_typer.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Callable, List, Set, Tuple
import beanmachine.ppl.compiler.profiler as prof
from beanmachine.ppl.compiler.bm_graph_build... | beanmachine-main | src/beanmachine/ppl/compiler/fix_problems.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import List
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphBuilde... | beanmachine-main | src/beanmachine/ppl/compiler/fix_multiary_ops.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphBuilder
from beanmachine.ppl.compiler.bmg_types import (
Boolean,
Natur... | beanmachine-main | src/beanmachine/ppl/compiler/fix_observations.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# TODO: For reasons unknown, Pyre is unable to find type information about
# TODO: beanmachine.graph from beanmachine.ppl. I'll figure out ... | beanmachine-main | src/beanmachine/ppl/compiler/bmg_node_types.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# In lattice_typer.py we assign a type to every node in a graph.
# If the node or any ancestor node is unsupported in BMG then the node
# is... | beanmachine-main | src/beanmachine/ppl/compiler/bmg_requirements.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import beanmachine.ppl.compiler.bmg_nodes as bn
import beanmachine.ppl.compiler.bmg_types as bt
from beanmachine.ppl.compiler.bm_graph_build... | beanmachine-main | src/beanmachine/ppl/compiler/fix_additions.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Visualize the contents of a builder in the DOT graph language.
"""
from typing import Set
from beanmachine.ppl.compiler.bm_graph_builde... | beanmachine-main | src/beanmachine/ppl/compiler/gen_dot.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import List
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compiler.bm_graph_builder import B... | beanmachine-main | src/beanmachine/ppl/compiler/fix_normal_conjugate_prior.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Optional
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphBu... | beanmachine-main | src/beanmachine/ppl/compiler/size_assessment.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Optional
import beanmachine.ppl.compiler.bmg_nodes as bn
import beanmachine.ppl.compiler.bmg_types as bt
fro... | beanmachine-main | src/beanmachine/ppl/compiler/fix_unsupported.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
from typing import Any, Dict, List, Optional
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compiler.bm_g... | beanmachine-main | src/beanmachine/ppl/compiler/gen_mini.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Convert a builder into a program that produces a graph builder.
"""
from typing import Dict
import beanmachine.ppl.compiler.bmg_nodes ... | beanmachine-main | src/beanmachine/ppl/compiler/gen_builder.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import beanmachine.ppl.compiler.bmg_nodes as bn
import beanmachine.ppl.compiler.bmg_types as bt
from beanmachine.ppl.compiler.bm_graph_build... | beanmachine-main | src/beanmachine/ppl/compiler/fix_transpose.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import inspect
import math
import operator
from types import MethodType
from typing import Any, Callable, Dict, List, NoReturn, Optional, S... | beanmachine-main | src/beanmachine/ppl/compiler/special_function_caller.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Callable, Dict, List, Optional, Set
from beanmachine.ppl.compiler.bmg_nodes import BMGNode
from beanmachine.ppl.uti... | beanmachine-main | src/beanmachine/ppl/compiler/execution_context.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Pattern matching for ASTs"""
import ast
from platform import python_version
from typing import Any, Dict
from bea... | beanmachine-main | src/beanmachine/ppl/compiler/ast_patterns.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Callable, List
import beanmachine.ppl.compiler.bmg_nodes as bn
from torch import Tensor
def _tensor_to_label(t: Tensor... | beanmachine-main | src/beanmachine/ppl/compiler/graph_labels.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import List, Tuple
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compiler.bm_graph_builder import BMGrap... | beanmachine-main | src/beanmachine/ppl/compiler/fix_beta_conjugate_prior.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
# Once we have accumulated a graph we often need to associate type information
# with some or all of the nodes. This presents a number of pr... | beanmachine-main | src/beanmachine/ppl/compiler/typer_base.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import time
from typing import Dict, List, Optional
accumulate = "accumulate"
infer = "infer"
fix_problems = "fix_problems"
graph_infer = ... | beanmachine-main | src/beanmachine/ppl/compiler/profiler.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
from typing import Any, Callable, Dict, List, Optional
import beanmachine.ppl.compiler.bmg_nodes as bn
import beanmachine.ppl.c... | beanmachine-main | src/beanmachine/ppl/compiler/bm_graph_builder.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from abc import abstractmethod
from typing import Any, Union
import torch
from beanmachine.ppl.utils.memoize import memoize, MemoizedClass
... | beanmachine-main | src/beanmachine/ppl/compiler/bmg_types.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphBuilder
from beanmachine.ppl.compiler.bmg_nodes import (
BernoulliNode,
... | beanmachine-main | src/beanmachine/ppl/compiler/fix_observe_true.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json as json_
from typing import Any, Optional
from beanmachine.ppl.compiler.profiler import event_list_to_report
class Performanc... | beanmachine-main | src/beanmachine/ppl/compiler/performance_report.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""This module declares types used for error detection and reporting
when compiling Bean Machine models to Bean Machine Graph."""
from abc ... | beanmachine-main | src/beanmachine/ppl/compiler/error_report.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import beanmachine.ppl.compiler.bmg_nodes as bn
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphBuilder
from beanmachine.ppl.c... | beanmachine-main | src/beanmachine/ppl/compiler/fix_matrix_scale.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Dict, List, Set
import beanmachine.ppl.compiler.bmg_nodes as bn
import beanmachine.ppl.compiler.profiler as prof
import ... | beanmachine-main | src/beanmachine/ppl/compiler/gen_bmg_graph.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Optional
import beanmachine.ppl.compiler.bmg_nodes as bn
import beanmachine.ppl.compiler.bmg_types as bt
from beanmachin... | beanmachine-main | src/beanmachine/ppl/compiler/fix_arithmetic.py |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Tools to transform Bean Machine programs to Bean Machine Graph"""
import ast
import inspect
import sys
import typ... | beanmachine-main | src/beanmachine/ppl/compiler/bm_to_bmg.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.distributions as dist
class Flat(dist.Distribution):
"""
Flat distribution used as an improper prior. Sa... | beanmachine-main | src/beanmachine/ppl/distributions/flat.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from beanmachine.ppl.distributions.delta import Delta
from beanmachine.ppl.distributions.flat import Flat
from beanmachine.ppl.distributions... | beanmachine-main | src/beanmachine/ppl/distributions/__init__.py |
# @lint-ignore-every LICENSELINT
# Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import torch
from torch.distributions import constraints
def broadcast_shape(*shapes, **kwargs):
"""
Similar to ``np.broadcast()`` but for shapes.
Equivalent to ``np.broadcast(*map(np.empt... | beanmachine-main | src/beanmachine/ppl/distributions/unit.py |
# @lint-ignore-every LICENSELINT
# Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
import numbers
import torch
from torch.distributions import constraints, Distribution
# Helper function
def sum_rightmost(value, dim):
if isinstance(value, numbers.Number):
return value
... | beanmachine-main | src/beanmachine/ppl/distributions/delta.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
| beanmachine-main | src/beanmachine/tutorials/__init__.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Module defining a data extract, transform, and load API."""
import logging
from pathlib import Path
from typing import Any
import pandas... | beanmachine-main | src/beanmachine/tutorials/utils/etl.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from beanmachine.tutorials.utils import etl, plots
__all__ = ["etl", "plots"]
| beanmachine-main | src/beanmachine/tutorials/utils/__init__.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Basic plotting methods used in the tutorials."""
from itertools import cycle
from typing import Any, Dict, List, Optional, Tuple, Union
... | beanmachine-main | src/beanmachine/tutorials/utils/plots.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Data ETL for the radon tutorial."""
from typing import Dict
import arviz as az
import numpy as np
import pandas as pd
import statsmodels... | beanmachine-main | src/beanmachine/tutorials/utils/radon.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Data ETL for the NBA item response tutorial."""
import numpy as np
import pandas as pd
from bokeh.models import ColumnDataSource # usort... | beanmachine-main | src/beanmachine/tutorials/utils/nba.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Module for the ``Mixture model using count data`` tutorial."""
from numbers import Number
from typing import Any, Dict, List, Union
impo... | beanmachine-main | src/beanmachine/tutorials/utils/hearts.py |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""Helper module for the hierarchical model tutorial."""
from typing import Dict, List
import arviz as az
import numpy as np
import pandas ... | beanmachine-main | src/beanmachine/tutorials/utils/baseball.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import matplotlib.pyplot as plt
from datasets import transformations
import torch
import numpy as np
def plot_x2_reconstruc... | Addressing-the-Topological-Defects-of-Disentanglement-main | plot.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
"""
Launches experiments locally or on the cluster
python run_experiments.py [name] --cluster
OPTIONS:
python run_experime... | Addressing-the-Topological-Defects-of-Disentanglement-main | run_experiments_real.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import torch
from torch import nn
from collections import OrderedDict
from abc import ABC
class ResNetExplorer(nn.Module):
... | Addressing-the-Topological-Defects-of-Disentanglement-main | models.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import torch
import numpy as np
import functools
import pdb
class ShiftOperator:
"""Performs discrete shift based on n_... | Addressing-the-Topological-Defects-of-Disentanglement-main | latent_operators.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
| Addressing-the-Topological-Defects-of-Disentanglement-main | __init__.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import torch
import numpy as np
import random
import matplotlib
import matplotlib.pyplot as plt
import models
import latent_... | Addressing-the-Topological-Defects-of-Disentanglement-main | weakly_complex_shift_autoencoder.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import copy
import torch
import json
import os
import random
import numpy as np
import models
import latent_operators
import ... | Addressing-the-Topological-Defects-of-Disentanglement-main | autoencoder.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
"""Implements CCI VAE
https://arxiv.org/abs/1804.03599
"""
import torch
import os
import numpy as np
import models
import js... | Addressing-the-Topological-Defects-of-Disentanglement-main | cci_variational_autoencoder.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import torch
import numpy as np
import random
import matplotlib
import matplotlib.pyplot as plt
import models
import latent_o... | Addressing-the-Topological-Defects-of-Disentanglement-main | complex_shift_autoencoder.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
---
Saves model/plots for best validation MSE
"""
import math
import numpy as np
import os
from distutils.dir_util import copy_... | Addressing-the-Topological-Defects-of-Disentanglement-main | save_best_validation.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
"""
Transformations applied to the input images
"""
import torch
import itertools
import numpy as np
import skimage.transfor... | Addressing-the-Topological-Defects-of-Disentanglement-main | datasets/transformations.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import torch
from torch.utils.data import Dataset
from torchvision import transforms
from sklearn.model_selection import Stra... | Addressing-the-Topological-Defects-of-Disentanglement-main | datasets/datasets.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
| Addressing-the-Topological-Defects-of-Disentanglement-main | datasets/__init__.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
"""Script demonstrating drawing of anti-aliased lines using Xiaolin Wu's line
algorithm
usage: python xiaolinwu.py [output-... | Addressing-the-Topological-Defects-of-Disentanglement-main | datasets/xiaolinwu.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
from torch.utils.data import Dataset, DataLoader
import numpy as np
from PIL import Image
from .xiaolinwu import draw_line
... | Addressing-the-Topological-Defects-of-Disentanglement-main | datasets/data_utils.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import pytest
from datasets import datasets
from cci_variational_autoencoder import CCIVariationalAutoEncoder
BATCH_SIZE = 1... | Addressing-the-Topological-Defects-of-Disentanglement-main | tests/test_cci_vae.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import torch
import math
from datasets import transformations
from datasets import datasets
class TestSimpleShapes:
def... | Addressing-the-Topological-Defects-of-Disentanglement-main | tests/test_datasets.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import pytest
from datasets import datasets
from autoencoder import AutoEncoder
class TestAutoencoder:
@pytest.fixture(... | Addressing-the-Topological-Defects-of-Disentanglement-main | tests/test_autoencoder.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
| Addressing-the-Topological-Defects-of-Disentanglement-main | complex_shift_operator/__init__.py |
"""
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the license found in the
LICENSE file in the root directory of this source tree.
"""
import argparse
import torch
import sys
sys.path.append("..")
from datasets import datasets
from weakly_complex_shift_autoen... | Addressing-the-Topological-Defects-of-Disentanglement-main | complex_shift_operator/__main__.py |
# Copyright (c) 2015-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the CC-by-NC license found in the
# LICENSE file in the root directory of this source tree.
#
import torch
import torch.nn as nn
from functools import partial
from convit import VisionTransformer
from timm.model... | convit-main | models.py |
# Copyright (c) 2015-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the CC-by-NC license found in the
# LICENSE file in the root directory of this source tree.
#
"""
A script to run multinode training with submitit.
"""
import argparse
import os
import uuid
from pathlib import P... | convit-main | run_with_submitit.py |
# Copyright (c) 2015-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the CC-by-NC license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import json
import random
from torchvision import datasets, transforms
from torchvision.datasets.folder imp... | convit-main | datasets.py |
# Copyright (c) 2015-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the CC-by-NC license found in the
# LICENSE file in the root directory of this source tree.
#
"""
Train and eval functions used in main.py
"""
import math
import sys
from typing import Iterable, Optional
import ... | convit-main | engine.py |
# Copyright (c) 2015-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the CC-by-NC license found in the
# LICENSE file in the root directory of this source tree.
#
"""
Misc functions, including distributed helpers.
Mostly copy-paste from torchvision references.
"""
import io
impor... | convit-main | utils.py |
# Copyright (c) 2015-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the CC-by-NC license found in the
# LICENSE file in the root directory of this source tree.
#
import argparse
import datetime
import numpy as np
import time
import torch
import torch.backends.cudnn as cudnn
impor... | convit-main | main.py |
# Copyright (c) 2015-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the CC-by-NC license found in the
# LICENSE file in the root directory of this source tree.
#
import torch
import torch.distributed as dist
import math
class RASampler(torch.utils.data.Sampler):
"""Sampler ... | convit-main | samplers.py |
# Copyright (c) 2015-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the CC-by-NC license found in the
# LICENSE file in the root directory of this source tree.
#
'''These modules are adapted from those of timm, see
https://github.com/rwightman/pytorch-image-models/blob/master/tim... | convit-main | convit.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import os
import argparse
# run each job single-threaded, paralellize using pathos
os.environ["OMP_NUM_THREADS"] = "1"
os.environ["MKL_NUM_THREADS"] = "1"
os.environ["NUMEXPR_NUM_THREADS"] = "1"
# multi-socket friendly args
os.environ["KMP_AFF... | bernoulli_lse-main | init_sensitivity_study.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import os
import argparse
from copy import deepcopy
from pathlib import Path
global_seed = 1000
n_reps = 20
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Gentime Benchmarks")
parser.add_argument("--nproc",... | bernoulli_lse-main | gentime_bench.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import numpy as np
import torch
from aepsych.benchmark.test_functions import (
modified_hartmann6,
discrim_highdim,
novel_discrimination_testfun,
)
from aepsych.models import GPClassificationModel
from aepsych.benchmark.problem im... | bernoulli_lse-main | problems.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import os
import argparse
# run each job single-threaded, paralellize using pathos
os.environ["OMP_NUM_THREADS"] = "1"
os.environ["MKL_NUM_THREADS"] = "1"
os.environ["NUMEXPR_NUM_THREADS"] = "1"
# multi-socket friendly args
os.environ["KMP_AFF... | bernoulli_lse-main | run_experiments.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import os
import argparse
# run each job single-threaded, paralellize using pathos
os.environ["OMP_NUM_THREADS"] = "1"
os.environ["MKL_NUM_THREADS"] = "1"
os.environ["NUMEXPR_NUM_THREADS"] = "1"
# multi-socket friendly args
os.environ["KMP_AFF... | bernoulli_lse-main | thresh_sensitivity_study.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
from pathlib import Path
import pandas as pd
import numpy as np
from plot_config import *
run_data = list(Path("../data/gentime_bench/").glob("*out.csv"))
import re
def make_figure():
alld = []
for f in run_data:
dlocal = pd... | bernoulli_lse-main | figures/plot_gentimes.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
from matplotlib import pyplot as plt
from matplotlib.lines import Line2D
from matplotlib import rc
import matplotlib
rc('font', family='serif', style='normal', variant='normal', weight='normal', stretch='normal', size=8)
matplotlib.rcParams['ps.... | bernoulli_lse-main | figures/plot_config.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import numpy as np
from contrast_discrimination.helpers import HalfGrating
from psychopy import visual, monitors
screen = monitors.Monitor("testMonitor", gamma=1)
win = visual.Window(
allowGUI=True,
units="deg",
monitor=screen,
... | bernoulli_lse-main | figures/make_stim_plots.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
import numpy as np
import pandas as pd
from copy import deepcopy
import sys
sys.path.append("..")
from plot_config import *
from plot_experiment_results import compile_results, run_data
def make_classerr_figure():
res, itrs = compile_re... | bernoulli_lse-main | figures/plot_supplement_experiment_results.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
| bernoulli_lse-main | figures/__init__.py |
# Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved.
from copy import deepcopy
import numpy as np
import torch
from botorch.utils.sampling import draw_sobol_samples
import sys
sys.path.append('..')
from plot_config import *
from problems import DiscrimLowDim
from aepsych.models.gp_classificat... | bernoulli_lse-main | figures/plot_acquisition.py |
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