python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
|---|---|---|
import json
import numpy as np
import random
from os.path import isfile, isdir
from os.path import join as pjoin
import torch
from torch.utils.data import Dataset
#########
# Node typing: checking the type of a specific sub-tree (dict value)
#########
def is_span(val):
try:
a, (b, c) = val
return... | craftassist-master | acl2020_submission/model_training_code/utils_caip.py |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.optim import Adam, Adagrad
from transformers.modeling_bert import BertModel, BertOnlyMLMHead
from utils_caip import *
# --------------------------
# Transformer-based decoder module for sequence ans span prediction, computes the loss
# --... | craftassist-master | acl2020_submission/model_training_code/utils_parsing.py |
import json
import math
import pickle
import torch
from transformers import AutoModel, AutoTokenizer, BertConfig
from utils_parsing import *
from utils_caip import *
from train_model import *
class TTADBertModel(object):
def __init__(self, model_dir, data_dir, model_name="caip_test_model"):
model_name ... | craftassist-master | acl2020_submission/model_training_code/query_model.py |
# Copyright (c) Meta Platforms, Inc. and 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 numpy as np
import scipy
from scipy.optimize import Bounds, LinearConstraint, minimize, SR1
import pdb
import math
i... | adaptive_scheduling-main | solve_gradient_seq.py |
# Copyright (c) Meta Platforms, Inc. and 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 numpy as np
import scipy
from scipy.optimize import Bounds, LinearConstraint, minimize, SR1
import pdb
import math
i... | adaptive_scheduling-main | solve_gradient_simple.py |
# Copyright (c) Meta Platforms, Inc. and 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 numpy as np
import scipy
from scipy.optimize import Bounds, LinearConstraint, minimize, SR1
import pdb
import mat... | adaptive_scheduling-main | solve_bound.py |
# Copyright (c) Meta Platforms, Inc. and 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 math
import logging
from typing import TYPE_CHECKING, Any, Callable, Optional
import torch
import torch.optim
impor... | adaptive_scheduling-main | adagrad_flex.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 os
import platform
import re
import sys
from glob import glob
from pybind11.setup_helpers import build_ext, Pybind11Extension
from s... | beanmachine-main | setup.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.
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# ... | beanmachine-main | website/sphinx/conf.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
import re
import shutil
import uuid
import warnings
from pathlib import Path
from typing import Any, Dict, List, Tuple, Union
i... | beanmachine-main | website/scripts/convert_ipynb_to_mdx.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 unittest
import beanmachine.ppl as bm
import torch.distributions as dist
from torch import tensor
class ToplevelSmokeTest(unittest... | beanmachine-main | tests/ppl/smoke_test.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 as bm
import pytest
import torch.distributions as dist
@pytest.fixture(autouse=True)
def fix_random_seed():
"""... | beanmachine-main | tests/ppl/conftest.py |
beanmachine-main | tests/ppl/__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.
import beanmachine.ppl as bm
import pytest
import torch
from beanmachine.ppl.experimental.torch_jit_backend import get_backend, TorchJITBac... | beanmachine-main | tests/ppl/experimental/torch_jit_backend_test.py |
beanmachine-main | tests/ppl/experimental/__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.
import pytest
import torch
from beanmachine.ppl.experimental.causal_inference.models.bart.split_rule import (
CompositeRules,
Dimen... | beanmachine-main | tests/ppl/experimental/bart/bart_split_rule_test.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 pytest
import torch
from beanmachine.ppl.experimental.causal_inference.models.bart.scalar_samplers import (
NoiseStandardDeviatio... | beanmachine-main | tests/ppl/experimental/bart/bart_scalar_sampler_test.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 pytest
import torch
from beanmachine.ppl.experimental.causal_inference.models.bart.exceptions import (
GrowError,
PruneErro... | beanmachine-main | tests/ppl/experimental/bart/bart_tree_test.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 copy import deepcopy
import pytest
import torch
from beanmachine.ppl.experimental.causal_inference.models.bart.exceptions import (
... | beanmachine-main | tests/ppl/experimental/bart/bart_node_test.py |
beanmachine-main | tests/ppl/experimental/bart/__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.
import pytest
import torch
from beanmachine.ppl.experimental.causal_inference.models.bart.exceptions import (
PruneError,
)
from beanm... | beanmachine-main | tests/ppl/experimental/bart/bart_tree_proposer_test.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 pytest
import torch
from beanmachine.ppl.experimental.causal_inference.models.bart.bart_model import (
LeafMean,
)
from beanmach... | beanmachine-main | tests/ppl/experimental/bart/xbart_grow_from_root_proposer_test.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 pytest
import torch
from beanmachine.ppl.experimental.causal_inference.models.bart.bart_model import (
BART,
XBART,
)
@pyt... | beanmachine-main | tests/ppl/experimental/bart/bart_model_test.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 unittest
import beanmachine.ppl as bm
import torch
import torch.distributions as dist
from beanmachine.ppl.experimental.gp import (
... | beanmachine-main | tests/ppl/experimental/gp/models_test.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 unittest
import beanmachine.ppl as bm
import gpytorch
import torch
from beanmachine.ppl.experimental.gp import (
bm_... | beanmachine-main | tests/ppl/experimental/gp/inference_test.py |
beanmachine-main | tests/ppl/experimental/gp/__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.
import pytest
import torch.distributions as dist
from beanmachine.ppl.world.utils import get_default_transforms, initialize_value
def test... | beanmachine-main | tests/ppl/world/utils_test.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 as bm
import torch
import torch.distributions as dist
from beanmachine.ppl.world import World
class SampleModel:
... | beanmachine-main | tests/ppl/world/world_test.py |
beanmachine-main | tests/ppl/world/__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.
import pytest
import torch
import torch.distributions as dist
from beanmachine.ppl.world.initialize_fn import init_from_prior, init_to_unifo... | beanmachine-main | tests/ppl/world/initialize_fn_test.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 pytest
import torch
import torch.distributions as dist
from beanmachine.ppl.world.variable import Variable
def test_log_prob():
... | beanmachine-main | tests/ppl/world/variable_test.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 unittest
import torch
from beanmachine.ppl.utils import tensorops
class TensorOpsTest(unittest.TestCase):
def test_gradients(s... | beanmachine-main | tests/ppl/utils/tensorops_test.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 unittest
from beanmachine.ppl.utils.set_of_tensors import SetOfTensors
from torch import tensor
class SetOfTensorsTest(unittest.Te... | beanmachine-main | tests/ppl/utils/set_of_tensors_test.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 unittest
from beanmachine.ppl.utils.multidictionary import MultiDictionary
class MultiDictionaryTest(unittest.TestCase):
def t... | beanmachine-main | tests/ppl/utils/multidictionary_test.py |
beanmachine-main | tests/ppl/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.
"""Tests for Graph from graph.py"""
import unittest
from beanmachine.ppl.utils.graph import Graph
class SimpleNode(object):
name: str... | beanmachine-main | tests/ppl/utils/graph_test.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.
"""Tests for item_counter.py"""
import unittest
from beanmachine.ppl.utils.item_counter import ItemCounter
class ItemCounterTest(unittest... | beanmachine-main | tests/ppl/utils/item_counter_test.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.
"""Tests for print_tree from treeprinter.py"""
import unittest
from beanmachine.ppl.utils.treeprinter import print_tree
class TreePrinter... | beanmachine-main | tests/ppl/utils/treeprinter_test.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.
"""Tests for memoize.py"""
import unittest
from beanmachine.ppl.utils.memoize import memoize
count1 = 0
def fib(n):
global count1
... | beanmachine-main | tests/ppl/utils/memoize_test.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.
"""Tests for partition functions from equivalence.py"""
import unittest
from typing import Any, Iterable
from beanmachine.ppl.utils.equival... | beanmachine-main | tests/ppl/utils/equivalence_test.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.
"""Tests for print_graph from dotbuilder.py"""
import unittest
from typing import Any, Dict
from beanmachine.ppl.utils.dotbuilder import Do... | beanmachine-main | tests/ppl/utils/dotbuilder_test.py |
beanmachine-main | tests/ppl/testlib/__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.
"""Tests for hypothesis_testing.py"""
import unittest
from beanmachine.ppl.testlib.hypothesis_testing import (
inverse_chi2_cdf,
in... | beanmachine-main | tests/ppl/testlib/hypothesis_testing_test.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 pickle
import unittest
import warnings
import beanmachine.ppl as bm
import torch
import torch.distributions as dist
import torch.uti... | beanmachine-main | tests/ppl/model/rv_identifier_test.py |
beanmachine-main | tests/ppl/model/__init__.py | |
beanmachine-main | tests/ppl/diagnostics/__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.
import unittest
from typing import Dict
import beanmachine.ppl as bm
import beanmachine.ppl.diagnostics.common_statistics as common_statist... | beanmachine-main | tests/ppl/diagnostics/diagnostics_test.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 unittest
import beanmachine.ppl as bm
from beanmachine.ppl.testlib.abstract_conjugate import AbstractConjugateTests
class SingleSi... | beanmachine-main | tests/ppl/inference/single_site_newtonian_monte_carlo_conjugate_test_nightly.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 pickle
import unittest
import beanmachine.ppl as bm
import numpy as np
import torch
import torch.distributions as dist
import xarray... | beanmachine-main | tests/ppl/inference/monte_carlo_samples_test.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 unittest
import beanmachine.ppl as bm
from beanmachine.ppl.testlib.abstract_conjugate import AbstractConjugateTests
class SingleSi... | beanmachine-main | tests/ppl/inference/single_site_uniform_mh_conjugate_test_nightly.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 unittest
import beanmachine.ppl as bm
from beanmachine.ppl.testlib.abstract_conjugate import AbstractConjugateTests
class SingleSi... | beanmachine-main | tests/ppl/inference/single_site_random_walk_adaptive_conjugate_test_nightly.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 as bm
import torch
import torch.distributions as dist
class SampleModel:
@bm.random_variable
def foo(self):... | beanmachine-main | tests/ppl/inference/single_site_ancestral_mh_test.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 unittest
import beanmachine.ppl as bm
from beanmachine.ppl.testlib.abstract_conjugate import AbstractConjugateTests
class SingleSi... | beanmachine-main | tests/ppl/inference/single_site_no_u_turn_conjugate_test_nightly.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 as bm
import torch
import torch.distributions as dist
@bm.random_variable
def foo():
return dist.Normal(0.0, 1.... | beanmachine-main | tests/ppl/inference/utils_test.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 warnings
import beanmachine.ppl as bm
import pytest
import torch
import torch.distributions as dist
class SampleModel:
@bm.ran... | beanmachine-main | tests/ppl/inference/nnc_test.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 sys
import beanmachine.ppl as bm
import pytest
import torch
import torch.distributions as dist
from beanmachine.ppl.infe... | beanmachine-main | tests/ppl/inference/inference_test.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 unittest
import beanmachine.ppl as bm
import torch
import torch.distributions as dist
class SingleSiteUniformMetropolisHastingsTes... | beanmachine-main | tests/ppl/inference/single_site_uniform_mh_test.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 itertools
from typing import Optional
import beanmachine.ppl as bm
import numpy
import pytest
import scipy.stats
import torch
import... | beanmachine-main | tests/ppl/inference/vi_test.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 as bm
import pytest
import torch
import torch.distributions as dist
from beanmachine.ppl... | beanmachine-main | tests/ppl/inference/vi_gpu_test.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 unittest
import beanmachine.ppl as bm
import torch
import torch.distributions as dist
from beanmachine.ppl.examples.conjugate_models... | beanmachine-main | tests/ppl/inference/single_site_random_walk_test.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 unittest
import beanmachine.ppl as bm
import torch
import torch.distributions as dist
class IntegrationTest(unittest.TestCase):
... | beanmachine-main | tests/ppl/inference/inference_integration_test_nightly.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 Counter
from unittest.mock import patch
import beanmachine.ppl as bm
import pytest
import torch
import torch.distri... | beanmachine-main | tests/ppl/inference/compositional_infer_test.py |
beanmachine-main | tests/ppl/inference/__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.
import beanmachine.ppl as bm
import torch
import torch.distributions as dist
class SampleModel:
@bm.random_variable
def foo(self):... | beanmachine-main | tests/ppl/inference/sampler_test.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 unittest
import beanmachine.ppl as bm
from beanmachine.ppl.testlib.abstract_conjugate import AbstractConjugateTests
class SingleSi... | beanmachine-main | tests/ppl/inference/single_site_random_walk_conjugate_test_nightly.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 warnings
import beanmachine.ppl as bm
import pytest
import torch
import torch.distributions as dist
@bm.random_variable
def f():
... | beanmachine-main | tests/ppl/inference/inference_error_reporting_test.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 unittest
import beanmachine.ppl as bm
import torch
import torch.distributions as dist
class PredictiveTest(unittest.TestCase):
... | beanmachine-main | tests/ppl/inference/predictive_test.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 unittest
from sys import float_info
import torch.distributions as dist
from beanmachine.ppl.testlib.hypothesis_testing import (
... | beanmachine-main | tests/ppl/inference/hypothesis_testing_nightly.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 unittest
import beanmachine.ppl as bm
import torch
import torch.distributions as dist
from beanmachine.ppl.inference import SingleS... | beanmachine-main | tests/ppl/inference/single_site_newtonian_monte_carlo_test.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 unittest
import beanmachine.ppl as bm
from beanmachine.ppl.testlib.abstract_conjugate import AbstractConjugateTests
class SingleSi... | beanmachine-main | tests/ppl/inference/single_site_hamiltonian_monte_carlo_conjugate_test_nightly.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 unittest
import beanmachine.ppl as bm
from beanmachine.ppl.testlib.abstract_conjugate import AbstractConjugateTests
class SingleSi... | beanmachine-main | tests/ppl/inference/single_site_ancestral_mh_conjugate_test_nightly.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 unittest
from beanmachine.ppl.inference.compositional_infer import CompositionalInference
from beanmachine.ppl.testlib.abstract_conj... | beanmachine-main | tests/ppl/inference/compositional_infer_conjugate_test_nightly.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 as bm
import pytest
import torch
import torch.distributions as dist
from beanmachine.ppl.inference.proposer.hmc_propo... | beanmachine-main | tests/ppl/inference/proposer/hmc_proposer_test.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.
"""Unit test for NormalEig class"""
import unittest
import torch
from beanmachine.ppl.inference.proposer.normal_eig import NormalEig
from t... | beanmachine-main | tests/ppl/inference/proposer/normal_eig_test.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
from beanmachine.ppl.inference.proposer.utils import DictToVecConverter
def test_dict_to_vec_conversion():
d = {"a": torc... | beanmachine-main | tests/ppl/inference/proposer/utils_test.py |
beanmachine-main | tests/ppl/inference/proposer/__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.
import beanmachine.ppl as bm
import pytest
import torch
import torch.distributions as dist
from beanmachine.ppl.inference.proposer.nuts_prop... | beanmachine-main | tests/ppl/inference/proposer/nuts_proposer_test.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 warnings
import beanmachine.ppl as bm
import numpy as np
import pytest
import torch
import torch.distributions as dist
from beanmach... | beanmachine-main | tests/ppl/inference/proposer/hmc_utils_test.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 unittest
import torch
import torch.distributions as dist
from beanmachine import ppl as bm
from beanmachine.ppl.inference.proposer.n... | beanmachine-main | tests/ppl/inference/proposer/nmc/single_site_simplex_newtonian_monte_carlo_proposer_test.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 unittest
import beanmachine.ppl as bm
import torch
import torch.distributions as dist
from beanmachine.ppl.inference.proposer.nmc im... | beanmachine-main | tests/ppl/inference/proposer/nmc/single_site_half_space_newtonian_monte_carlo_proposer_test.py |
beanmachine-main | tests/ppl/inference/proposer/nmc/__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.
import unittest
import beanmachine.ppl as bm
import torch
import torch.autograd
import torch.distributions as dist
from beanmachine.ppl.inf... | beanmachine-main | tests/ppl/inference/proposer/nmc/single_site_real_space_newtonian_monte_carlo_proposer_test.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.
"""Tests for fix_problems.py"""
import unittest
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphBuilder
from beanmachine.ppl.c... | beanmachine-main | tests/ppl/compiler/fix_problems_test.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.
# BM -> BMG compiler index tests
import unittest
import beanmachine.ppl as bm
from beanmachine.ppl.inference.bmg_in... | beanmachine-main | tests/ppl/compiler/index_test.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.
"""End-to-end test for tutorial on GMM with Poisson number of components"""
# This file is a manual replica of the Bento tutorial with the s... | beanmachine-main | tests/ppl/compiler/tutorial_GMM_with_2_dimensions_and_4_components_test.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.
"""Compare original and conjugate prior transformed
Beta-Bernoulli model"""
import unittest
import beanmachine.ppl as bm
from beanmachi... | beanmachine-main | tests/ppl/compiler/fix_beta_bernoulli_basic_test.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 platform
import re
import unittest
import beanmachine.graph as graph
import beanmachine.ppl as bm
import beanmachine.ppl.compiler.pe... | beanmachine-main | tests/ppl/compiler/perf_report_test.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.
"""End-to-end test of realistic coin flip model"""
import unittest
import beanmachine.ppl as bm
from beanmachine.ppl.inference.bmg_inferenc... | beanmachine-main | tests/ppl/compiler/coin_flip_test.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 unittest
import beanmachine.ppl as bm
from beanmachine.ppl.inference.bmg_inference import BMGInference
from torch.distributions impo... | beanmachine-main | tests/ppl/compiler/log_prob_test.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.
"""Tests for poisson distribution"""
import unittest
import beanmachine.ppl as bm
from beanmachine.ppl.inference import BMGInference
from... | beanmachine-main | tests/ppl/compiler/distribution_poisson_test.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.
"""A basic unit test for the Python interface of the BMG C++ Graph.infer method"""
import unittest
import beanmachine.ppl as bm
from beanma... | beanmachine-main | tests/ppl/compiler/bmg_infer_interface_test.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.
"""End-to-end test for an example use of the normal distribution"""
import logging
import unittest
import beanmachine.ppl as bm
import tor... | beanmachine-main | tests/ppl/compiler/distribution_half_normal_test.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.
"""End-to-end test for an example use of the normal distribution"""
import logging
import unittest
import beanmachine.ppl as bm
import tor... | beanmachine-main | tests/ppl/compiler/distribution_normal_test.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.
"""Tests for ast_tools.py"""
import ast
import unittest
import beanmachine.ppl.compiler.ast_tools as ast_tools
class ASTToolsTest(unittes... | beanmachine-main | tests/ppl/compiler/ast_tools_test.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.
"""End-to-end test for 1D GMM with K > 2 number of components"""
import logging
import unittest
# Comments after imports suggest alternati... | beanmachine-main | tests/ppl/compiler/tutorial_GMM_with_1_dimensions_and_4_components_test.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 unittest
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphBuilder
from beanmachine.ppl.compiler.gen_bmg_cpp import to_bm... | beanmachine-main | tests/ppl/compiler/column_index_test.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 unittest
import beanmachine.ppl.compiler.bmg_types as bt
import torch
from beanmachine.ppl.compiler.bm_graph_builder import BMGraphB... | beanmachine-main | tests/ppl/compiler/lattice_typer_test.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.
# Suppose we have a mixture of k normal distributions each with standard
# deviation equal to 1, but different means... | beanmachine-main | tests/ppl/compiler/gaussian_mixture_model_test.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 unittest
import beanmachine.ppl as bm
from beanmachine.ppl.inference.bmg_inference import BMGInference
from torch.distributions impo... | beanmachine-main | tests/ppl/compiler/to_probability_test.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 unittest
import beanmachine.ppl as bm
from beanmachine.ppl.compiler.copy_and_replace import copy_and_replace
from beanmachine.ppl.c... | beanmachine-main | tests/ppl/compiler/devectorizer_transformer_test.py |
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