repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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pytorch | pytorch-main/caffe2/python/modeling/compute_statistics_for_blobs.py |
from caffe2.python import core, schema
from caffe2.python.modeling.net_modifier import NetModifier
import numpy as np
class ComputeStatisticsForBlobs(NetModifier):
"""
This class modifies the net passed in by adding ops to compute statistics
for certain blobs. For each blob in the list, its min, max... | 1,909 | 33.727273 | 134 | py |
pytorch | pytorch-main/caffe2/python/modeling/compute_histogram_for_blobs.py |
from caffe2.python import core, schema
from caffe2.python.modeling.net_modifier import NetModifier
import numpy as np
class ComputeHistogramForBlobs(NetModifier):
"""
This class modifies the net passed in by adding ops to compute histogram for
certain blobs.
Args:
blobs: list of blobs t... | 3,508 | 36.731183 | 134 | py |
pytorch | pytorch-main/caffe2/python/modeling/compute_statistics_for_blobs_test.py |
import unittest
from caffe2.python import workspace, brew, model_helper
from caffe2.python.modeling.compute_statistics_for_blobs import (
ComputeStatisticsForBlobs
)
import numpy as np
class ComputeStatisticsForBlobsTest(unittest.TestCase):
def test_compute_statistics_for_blobs(self):
model = mo... | 2,870 | 32.776471 | 76 | py |
pytorch | pytorch-main/caffe2/python/modeling/get_entry_from_blobs.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 3,130 | 36.27381 | 134 | py |
pytorch | pytorch-main/caffe2/python/modeling/gradient_clipping_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 10,016 | 35.827206 | 79 | py |
pytorch | pytorch-main/caffe2/python/modeling/compute_norm_for_blobs_test.py |
import unittest
from caffe2.python import workspace, brew, model_helper
from caffe2.python.modeling.compute_norm_for_blobs import ComputeNormForBlobs
import numpy as np
class ComputeNormForBlobsTest(unittest.TestCase):
def test_compute_norm_for_blobs(self):
model = model_helper.ModelHelper(name="tes... | 7,942 | 33.237069 | 90 | py |
pytorch | pytorch-main/caffe2/python/modeling/parameter_sharing.py |
from caffe2.python import scope
import contextlib
import logging
logger = logging.getLogger(__name__)
class ParameterSharingContext:
"""
This class manages scope driven way of parameter sharing across different
NameScopes.
"""
def __init__(self):
self._scope_overrides = {}
... | 3,840 | 31.277311 | 79 | py |
pytorch | pytorch-main/caffe2/python/modeling/compute_histogram_for_blobs_test.py |
import unittest
from caffe2.python import workspace, brew, model_helper
from caffe2.python.modeling.compute_histogram_for_blobs import (
ComputeHistogramForBlobs
)
import numpy as np
class ComputeHistogramForBlobsTest(unittest.TestCase):
def histogram(self, X, lower_bound=0.0, upper_bound=1.0, num_buck... | 4,947 | 40.233333 | 86 | py |
pytorch | pytorch-main/caffe2/python/modeling/gradient_clipping.py |
from caffe2.python import core
from caffe2.proto import caffe2_pb2
from caffe2.python.optimizer import get_param_device
from caffe2.python.modeling.net_modifier import NetModifier
import logging
logger = logging.getLogger(__name__)
class GradientClipping(NetModifier):
L1_NORM = 'l1_norm'
L2_NORM = 'l2... | 5,766 | 36.448052 | 86 | py |
pytorch | pytorch-main/caffe2/python/modeling/get_entry_from_blobs_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 3,538 | 35.864583 | 78 | py |
pytorch | pytorch-main/caffe2/python/modeling/compute_norm_for_blobs.py |
from caffe2.python import core, schema, muji
from caffe2.python.modeling.net_modifier import NetModifier
import numpy as np
class ComputeNormForBlobs(NetModifier):
"""
This class modifies the net passed in by adding ops to compute norms for
certain blobs.
Args:
blobs: list of blobs to ... | 3,642 | 36.556701 | 134 | py |
pytorch | pytorch-main/caffe2/proto/gen_proto_typestubs_helper.py | import ast
with open("../python/__init__.py", "r") as f:
tree = ast.parse(f.read())
print("\nDeviceType = int\n")
print("# These are freedom-patched into caffe2_pb2 in caffe2/proto/__init__.py")
for stmt in tree.body:
if not isinstance(stmt, ast.Assign):
continue
target = stmt.targets[0]
if no... | 523 | 31.75 | 80 | py |
pytorch | pytorch-main/caffe2/proto/__init__.py | import warnings
# NOTE: we have to import python protobuf here **before** we load cpp extension.
# Otherwise it breaks under certain build conditions if cpp implementation of
# protobuf is used. Presumably there's some registry in protobuf library and
# python side has to initialize the dictionary first, before stati... | 1,016 | 39.68 | 101 | py |
pytorch | pytorch-main/caffe2/distributed/redis_store_handler_op_test.py |
import os
import uuid
from caffe2.distributed.python import StoreHandlerTimeoutError
from caffe2.distributed.store_ops_test_util import StoreOpsTests
from caffe2.python import core, workspace, dyndep
from caffe2.python.test_util import TestCase
dyndep.InitOpsLibrary("@/caffe2/caffe2/distributed:redis_store_handl... | 1,197 | 28.219512 | 76 | py |
pytorch | pytorch-main/caffe2/distributed/file_store_handler_op_test.py |
import errno
import os
import tempfile
import shutil
from caffe2.distributed.python import StoreHandlerTimeoutError
from caffe2.distributed.store_ops_test_util import StoreOpsTests
from caffe2.python import core, workspace, dyndep
from caffe2.python.test_util import TestCase
dyndep.InitOpsLibrary("@/caffe2/caffe... | 1,690 | 25.84127 | 75 | py |
pytorch | pytorch-main/caffe2/distributed/store_ops_test_util.py | ## @package store_ops_test_util
# Module caffe2.distributed.store_ops_test_util
from multiprocessing import Process, Queue
import numpy as np
from caffe2.python import core, workspace
class StoreOpsTests:
@classmethod
def _test_set_get(cls, queue, create_store_handler_fn, index, num_procs):
sto... | 2,205 | 27.649351 | 78 | py |
pytorch | pytorch-main/caffe2/experiments/python/sparse_reshape_op_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 3,412 | 31.504762 | 78 | py |
pytorch | pytorch-main/caffe2/experiments/python/funhash_op_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 2,740 | 33.2625 | 78 | py |
pytorch | pytorch-main/caffe2/experiments/python/sparse_funhash_op_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 2,502 | 32.824324 | 78 | py |
pytorch | pytorch-main/caffe2/experiments/python/convnet_benchmarks.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 20,369 | 28.1 | 83 | py |
pytorch | pytorch-main/caffe2/experiments/python/tt_contraction_op_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 2,099 | 31.8125 | 78 | py |
pytorch | pytorch-main/caffe2/experiments/python/net_construct_bench.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 4,124 | 25.960784 | 78 | py |
pytorch | pytorch-main/caffe2/experiments/python/tt_pad_op_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 1,944 | 30.885246 | 78 | py |
pytorch | pytorch-main/caffe2/experiments/python/SparseTransformer.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 6,888 | 32.280193 | 79 | py |
pytorch | pytorch-main/caffe2/experiments/python/device_reduce_sum_bench.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 3,903 | 29.263566 | 79 | py |
pytorch | pytorch-main/caffe2/contrib/playground/checkpoint.py |
import numpy as np
import pickle
from collections import OrderedDict
from caffe2.proto import caffe2_pb2
from caffe2.python import workspace, core, scope
import logging
logging.basicConfig()
log = logging.getLogger("AnyExpOnTerm")
log.setLevel(logging.DEBUG)
def initialize_params_from_file(
model, wei... | 6,881 | 38.325714 | 87 | py |
pytorch | pytorch-main/caffe2/contrib/playground/compute_loss.py |
import caffe2.contrib.playground.meter as Meter
from caffe2.python import workspace
class ComputeLoss(Meter.Meter):
def __init__(self, opts=None, blob_name=''):
self.blob_name = blob_name
self.opts = opts
self.iter = 0
self.value = 0
def Reset(self):
self.iter = 0... | 965 | 25.833333 | 80 | py |
pytorch | pytorch-main/caffe2/contrib/playground/AnyExpOnTerm.py |
import argparse
import json
import os
import caffe2.contrib.playground.AnyExp as AnyExp
import caffe2.contrib.playground.checkpoint as checkpoint
import logging
logging.basicConfig()
log = logging.getLogger("AnyExpOnTerm")
log.setLevel(logging.DEBUG)
def runShardedTrainLoop(opts, myTrainFun):
start_epoch =... | 3,346 | 32.808081 | 80 | py |
pytorch | pytorch-main/caffe2/contrib/playground/output_generator.py |
from caffe2.python import timeout_guard
def fun_conclude_operator(self):
# Ensure the program exists. This is to "fix" some unknown problems
# causing the job sometimes get stuck.
timeout_guard.EuthanizeIfNecessary(600.0)
def assembleAllOutputs(self):
output = {}
output['train_model'] = self... | 478 | 21.809524 | 71 | py |
pytorch | pytorch-main/caffe2/contrib/playground/compute_topk_accuracy.py |
import caffe2.contrib.playground.meter as Meter
from caffe2.python import workspace
import numpy as np
class ComputeTopKAccuracy(Meter.Meter):
# Python default arguments are evaluated once when the function is
# defined, not each time the function is called
# This means that if you use a mutable defa... | 2,189 | 35.5 | 77 | py |
pytorch | pytorch-main/caffe2/contrib/playground/AnyExp.py |
from abc import abstractmethod
from caffe2.python import workspace
from caffe2.python import timeout_guard
from caffe2.python import data_parallel_model
from . import checkpoint as checkpoint
from . import ModuleRegister as ModuleRegister
from . import module_map as module_map
# instantiate logger outside of di... | 17,960 | 35.506098 | 85 | py |
pytorch | pytorch-main/caffe2/contrib/playground/module_map.py |
# Input
import caffe2.contrib.playground.resnetdemo.\
gfs_IN1k as gfs_IN1k # noqa
# model
import caffe2.contrib.playground.resnetdemo.\
IN1k_resnet as IN1k_resnet # noqa
import caffe2.contrib.playground.resnetdemo.\
IN1k_resnet_no_test_model as IN1k_resnet_no_test_model # noqa
# Additional override... | 1,427 | 27.56 | 87 | py |
pytorch | pytorch-main/caffe2/contrib/playground/resnetdemo/IN1k_resnet_no_test_model.py |
import numpy as np
from caffe2.python import workspace, cnn, core
from caffe2.python import timeout_guard
from caffe2.proto import caffe2_pb2
def init_model(self):
# if cudnn needs to be turned off, several other places
# need to be modified:
# 1. operators need to be constructed with engine option,... | 1,880 | 28.857143 | 81 | py |
pytorch | pytorch-main/caffe2/contrib/playground/resnetdemo/gfs_IN1k.py |
# # example1 using gfs as input source.
def gen_input_builder_fun(self, model, dataset, is_train):
if is_train:
input_path = self.opts['input']['train_input_path']
else:
input_path = self.opts['input']['test_input_path']
reader = model.CreateDB("reader",
db... | 1,406 | 24.581818 | 79 | py |
pytorch | pytorch-main/caffe2/contrib/playground/resnetdemo/IN1k_resnet.py |
import numpy as np
from caffe2.python import workspace, cnn, core
from caffe2.python import timeout_guard
from caffe2.proto import caffe2_pb2
def init_model(self):
train_model = cnn.CNNModelHelper(
order="NCHW",
name="resnet",
use_cudnn=True,
cudnn_exhaustive_search=False
... | 1,498 | 24.844828 | 75 | py |
pytorch | pytorch-main/caffe2/contrib/playground/resnetdemo/rendezvous_filestore.py |
from caffe2.python import core, workspace
from caffe2.python import dyndep
dyndep.InitOpsLibrary('@/caffe2/caffe2/distributed:file_store_handler_ops')
# rendezvous should NOT be unique for each operator. It should have
# the same run_id on different operators. say we have two shards,
# both shards created rend... | 1,416 | 32.738095 | 77 | py |
pytorch | pytorch-main/caffe2/contrib/playground/resnetdemo/caffe2_resnet50_default_forward.py |
import caffe2.python.models.resnet as resnet
def gen_forward_pass_builder_fun(self, model, dataset, is_train):
def create_resnet50_model_ops(model, loss_scale):
[softmax, loss] = resnet.create_resnet50(
model,
"data",
num_input_channels=3,
num_labels=10... | 653 | 23.222222 | 69 | py |
pytorch | pytorch-main/caffe2/contrib/playground/resnetdemo/explicit_resnet_param_update.py |
from caffe2.python import workspace, core
from caffe2.proto import caffe2_pb2
def gen_param_update_builder_fun(self, model, dataset, is_train):
if not is_train:
return None
else:
# from sherlok
for idx in range(self.opts['distributed']['first_xpu_id'],
sel... | 2,268 | 33.378788 | 77 | py |
pytorch | pytorch-main/caffe2/contrib/warpctc/ctc_ops_test.py |
import numpy as np
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace, dyndep, test_util
dyndep.InitOpsLibrary('@/caffe2/caffe2/contrib/warpctc:ctc_ops')
workspace.GlobalInit(["python"])
def softmax(w):
maxes = np.amax(w, axis=-1, keepdims=True)
e = np.exp(w - maxes)
dist ... | 3,915 | 34.926606 | 80 | py |
pytorch | pytorch-main/caffe2/contrib/nccl/nccl_ops_test.py |
import unittest
import hypothesis.strategies as st
from hypothesis import given, assume
import numpy as np
import time
import os
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace, muji, dyndep
import caffe2.python.hypothesis_test_util as hu
np.random.seed(1)
dyndep.InitOpsLibrary('@/c... | 8,138 | 41.170984 | 79 | py |
pytorch | pytorch-main/caffe2/contrib/nnpack/nnpack_ops_test.py |
import unittest
import hypothesis.strategies as st
from hypothesis import given, assume, settings
import numpy as np
import time
import os
from caffe2.python import core, dyndep
import caffe2.python.hypothesis_test_util as hu
dyndep.InitOpsLibrary("@/caffe2/caffe2/contrib/nnpack:nnpack_ops")
np.random.seed(1)
... | 8,174 | 33.348739 | 80 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_layernorm_nnpi_fp16.py | import numpy as np
import caffe2.python.fakelowp.init_shared_libs # noqa
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from caffe2.python import workspace
from caffe2.python.onnx.onnxifi import onnxifi_caffe2_net
from caffe2.python.fakelowp.test_utils import print_test_debug_info
from hypothesis i... | 8,760 | 35.352697 | 90 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_int8_quant.py | # Must happen before importing caffe2.python.*
import caffe2.python.fakelowp.init_shared_libs # noqa
import datetime
import numpy as np
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace
from caffe2.python.onnx.onnxifi import onnxifi_caffe2_net
import caffe2.python.serialized_test.serialized... | 3,439 | 34.102041 | 77 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_chunking.py | # Must happen before importing caffe2.python.*
import caffe2.python.fakelowp.init_shared_libs # noqa
import datetime
import numpy as np
from hypothesis import given, settings, example
from hypothesis import strategies as st
from caffe2.python import core, workspace
from caffe2.python.onnx.onnxifi import onnxifi_caffe2... | 4,612 | 31.258741 | 75 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_batchmatmul_nnpi_fp16.py | import numpy as np
import unittest
import caffe2.python.fakelowp.init_shared_libs # noqa
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace
from caffe2.python.onnx.onnxifi import onnxifi_caffe2_net
from caffe2.python.fakelowp.test_utils import print_test_debug_info
import datetime
from hypo... | 3,795 | 34.476636 | 87 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_int8_ops_nnpi.py | import caffe2.python.fakelowp.init_shared_libs # noqa
import numpy as np
from caffe2.python import core, workspace
from caffe2.python.onnx.onnxifi import onnxifi_caffe2_net
from hypothesis import given, strategies as st, settings
from caffe2.python.fakelowp.test_utils import print_test_debug_info
import caffe2.python.... | 10,478 | 31.442724 | 88 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_sls_8bit_nnpi_fp16.py | import unittest
from typing import Dict, Any
# Must happen before importing caffe2.python.*
import caffe2.python.fakelowp.init_shared_libs # noqa
import datetime
import numpy as np
from hypothesis import given, settings
from hypothesis import strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.python imp... | 18,862 | 32.268078 | 98 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_fusions.py | # Must happen before importing caffe2.python.*
import caffe2.python.fakelowp.init_shared_libs # noqa
import datetime
import numpy as np
from hypothesis import given, settings
from hypothesis import strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace
from caffe2.python.onnx.on... | 3,141 | 30.42 | 87 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_sls_8bit_nnpi_fp32.py | import unittest
# Must happen before importing caffe2.python.*
import caffe2.python.fakelowp.init_shared_libs # noqa
import datetime
import numpy as np
from hypothesis import given, settings
from hypothesis import strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace
from caff... | 8,679 | 31.754717 | 87 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_op_nnpi_fp16.py | import numpy as np
import caffe2.python.fakelowp.init_shared_libs # noqa
import datetime
from hypothesis import given, settings
from hypothesis import strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from caffe2.python import workspace
from caffe2.python.onnx.onnxifi import onnxifi_... | 14,573 | 38.495935 | 87 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_deq_swish_quant_nnpi.py | import numpy as np
import caffe2.python.fakelowp.init_shared_libs # noqa
from caffe2.python import core, workspace
from caffe2.python.onnx.onnxifi import onnxifi_caffe2_net
from caffe2.python.fakelowp.test_utils import print_test_debug_info
import caffe2.python.serialized_test.serialized_test_util as serial
import dat... | 5,269 | 31.9375 | 79 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_fc_nnpi_fp16.py | import numpy as np
import unittest
import caffe2.python.fakelowp.init_shared_libs # noqa
from hypothesis import given, settings
from hypothesis import strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from caffe2.python import workspace
from caffe2.python.onnx.onnxifi import onnxifi_... | 13,195 | 35.860335 | 84 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_batchnorm_nnpi_fp16.py | import numpy as np
import unittest
import caffe2.python.fakelowp.init_shared_libs # noqa
from hypothesis import given, settings
from hypothesis import strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.python import core
from caffe2.python import workspace
from caffe2.python.onnx.onnxifi import onnxifi_... | 5,058 | 34.131944 | 86 | py |
pytorch | pytorch-main/caffe2/contrib/fakelowp/test/test_sls_4bit_nnpi_fp16.py | import numpy as np
import unittest
# Must happen before importing caffe2.python.*
import caffe2.python.fakelowp.init_shared_libs # noqa
from hypothesis import given, settings
from hypothesis import strategies as st
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace
from caffe2.python.onnx.... | 7,812 | 35.171296 | 98 | py |
pytorch | pytorch-main/caffe2/contrib/tensorboard/tensorboard_exporter.py |
import copy
import logging
import os
from caffe2.proto import caffe2_pb2
from caffe2.python import core, workspace
try:
# tensorboard>=1.14.0
from tensorboard.compat.proto import tensor_shape_pb2
from tensorboard.compat.proto.node_def_pb2 import NodeDef
from tensorboard.compat.proto.graph_pb2 imp... | 9,786 | 27.450581 | 79 | py |
pytorch | pytorch-main/caffe2/contrib/tensorboard/tensorboard_test.py |
import click.testing
import numpy as np
import os
import tempfile
import unittest
from caffe2.python import brew, core, model_helper
import caffe2.contrib.tensorboard.tensorboard as tb
import caffe2.contrib.tensorboard.tensorboard_exporter as tb_exporter
try:
# tensorboard>=1.14.0
from tensorboard.compat... | 4,156 | 33.932773 | 76 | py |
pytorch | pytorch-main/caffe2/contrib/tensorboard/tensorboard.py |
import click
import collections
import logging
import numpy as np
import os
from caffe2.proto import caffe2_pb2
from caffe2.python import core
import caffe2.contrib.tensorboard.tensorboard_exporter as tb_exporter
try:
# tensorboard>=1.14.0
from tensorboard.compat.proto.summary_pb2 import Summary, Histogr... | 6,403 | 29.065728 | 90 | py |
pytorch | pytorch-main/caffe2/contrib/tensorboard/tensorboard_exporter_test.py |
import unittest
from caffe2.proto import caffe2_pb2
import caffe2.python.cnn as cnn
import caffe2.python.core as core
import caffe2.contrib.tensorboard.tensorboard_exporter as tb
EXPECTED = """
node {
name: "conv1/XavierFill"
op: "XavierFill"
device: "/gpu:0"
attr {
key: "_output_shapes"
value {
... | 13,851 | 18.620397 | 76 | py |
pytorch | pytorch-main/caffe2/contrib/gloo/gloo_test.py | #!/usr/bin/env python3
from hypothesis import given, settings
import hypothesis.strategies as st
from multiprocessing import Process, Queue
import numpy as np
import os
import pickle
import tempfile
import shutil
from caffe2.python import core, workspace, dyndep
import caffe2.python.hypothesis_test_util as hu
f... | 25,321 | 34.816124 | 87 | py |
pytorch | pytorch-main/caffe2/contrib/aten/gen_op.py | #!/bin/env python3
# Copyright (c) 2016-present, Facebook, Inc.
#
# 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 appl... | 12,507 | 36.78852 | 126 | py |
pytorch | pytorch-main/caffe2/contrib/aten/aten_test.py | from caffe2.python import core
from hypothesis import given
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
class TestATen(hu.HypothesisTestCase):
@given(inputs=hu.tensors(n=2), **hu.gcs)
def test_add(self, inputs, gc, dc):
op = core.CreateOperat... | 3,740 | 27.340909 | 132 | py |
pytorch | pytorch-main/caffe2/contrib/aten/docs/sample.py | import tempfile
import numpy as np
from torch import nn
from torch.autograd import Variable, Function
import torch.onnx
import onnx
import caffe2.python.onnx.backend
class MyFunction(Function):
@staticmethod
def forward(ctx, x, y):
return x * x + y
@staticmethod
def symbolic(graph, x, y):
... | 1,784 | 30.315789 | 102 | py |
pytorch | pytorch-main/caffe2/contrib/prof/cuda_profile_ops_test.py |
import unittest
from caffe2.proto import caffe2_pb2
from caffe2.python import core, dyndep, workspace
dyndep.InitOpsLibrary("@/caffe2/caffe2/contrib/prof:cuda_profile_ops")
class CudaProfileOpsTest(unittest.TestCase):
@unittest.skipIf(workspace.NumCudaDevices() < 1, "Need at least 1 GPU")
def test_run(s... | 704 | 27.2 | 75 | py |
pytorch | pytorch-main/caffe2/quantization/server/gather_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_results_close
from hypothesis import given
dyndep.InitOpsLibrary("//ca... | 2,790 | 33.036585 | 93 | py |
pytorch | pytorch-main/caffe2/quantization/server/relu_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_results_close
from hypothesis import given
dyndep.InitOpsLibrary("//ca... | 2,418 | 33.070423 | 87 | py |
pytorch | pytorch-main/caffe2/quantization/server/fully_connected_rowwise_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.dnnlowp_test_utils import (
avoid_vpmaddubsw_ove... | 5,434 | 33.18239 | 88 | py |
pytorch | pytorch-main/caffe2/quantization/server/lstm_unit_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from hypothesis import given, settings
dyndep.InitOpsLibrary("//caffe2/caffe2/quantization/server:dnnlowp_ops")
workspace.GlobalInit(["caffe2", ... | 3,975 | 36.509434 | 85 | py |
pytorch | pytorch-main/caffe2/quantization/server/int8_quant_scheme_blob_fill_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 1,838 | 38.12766 | 106 | py |
pytorch | pytorch-main/caffe2/quantization/server/resize_nearest_3d_dnnlowp_op_test.py |
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from hypothesis import given, settings
dyndep.InitOpsLibrary("//caffe2/caffe2/quantization/server:dnnlowp_ops")
workspace.GlobalInit(["caffe2", "--caffe2_omp_num_th... | 2,289 | 34.78125 | 84 | py |
pytorch | pytorch-main/caffe2/quantization/server/dnnlowp_test_utils.py |
import collections
import numpy as np
from caffe2.python import utils, workspace
from caffe2.quantization.server import dnnlowp_pybind11
from hypothesis import assume
# This function asserts quantized results (output[1:]) are close enough to
# floating point results (output[0]).
# The error bound is derived based ... | 15,030 | 32.254425 | 88 | py |
pytorch | pytorch-main/caffe2/quantization/server/conv_groupwise_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
from caffe2.python import core, dyndep, workspace
from caffe2.python.fb import hardcode_scale_zp # type: ignore[import]
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.... | 9,537 | 32.00346 | 86 | py |
pytorch | pytorch-main/caffe2/quantization/server/group_norm_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, utils, workspace
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_res... | 4,566 | 33.862595 | 100 | py |
pytorch | pytorch-main/caffe2/quantization/server/tanh_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from hypothesis import given, settings
dyndep.InitOpsLibrary("//caffe2/caffe2/quantization/server:dnnlowp_ops")
workspace.GlobalInit(["caffe2", ... | 2,187 | 31.656716 | 85 | py |
pytorch | pytorch-main/caffe2/quantization/server/fully_connected_fp16_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from hypothesis import given
dyndep.InitOpsLibrary("//caffe2/caffe2/quantization/server:dnnlowp_ops")
workspace.GlobalInit(["caffe2", "--caffe2_... | 2,519 | 33.520548 | 101 | py |
pytorch | pytorch-main/caffe2/quantization/server/quantize_dnnlowp_op_test.py |
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server import dnnlowp_pybind11
from hypothesis import given, settings
dyndep.InitOpsLibrary("//caffe2/caffe2/quantization/server:dnnlowp_op... | 2,668 | 36.069444 | 78 | py |
pytorch | pytorch-main/caffe2/quantization/server/observer_test.py |
import numpy as np
from caffe2.python import core, workspace
from caffe2.quantization.server import dnnlowp_pybind11 # type: ignore[attr-defined]
net = core.Net("test_net")
X = np.array([[1, 2], [3, 4]]).astype(np.float32)
W = np.array([[5, 6], [7, 8]]).astype(np.float32)
b = np.array([0, 1]).astype(np.float32)
... | 1,011 | 22 | 85 | py |
pytorch | pytorch-main/caffe2/quantization/server/channel_shuffle_dnnlowp_op_test.py |
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, utils, workspace
from hypothesis import given, settings
dyndep.InitOpsLibrary("//caffe2/caffe2/quantization/server:dnnlowp_ops")
workspace.GlobalInit(["caffe2", "--caffe2_omp... | 3,890 | 31.157025 | 88 | py |
pytorch | pytorch-main/caffe2/quantization/server/resize_nearest_dnnlowp_op_test.py |
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from hypothesis import given, settings
dyndep.InitOpsLibrary("//caffe2/caffe2/quantization/server:dnnlowp_ops")
workspace.GlobalInit(["caffe2", "--caffe2_omp_num_th... | 2,116 | 33.145161 | 90 | py |
pytorch | pytorch-main/caffe2/quantization/server/spatial_batch_norm_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, utils, workspace
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_res... | 4,094 | 32.292683 | 87 | py |
pytorch | pytorch-main/caffe2/quantization/server/utils.py |
import copy
import logging
from collections import defaultdict
import numpy as np
from caffe2.python import core, utils
from caffe2.python.fb import hardcode_scale_zp # type: ignore[import]
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
def pairwise(iterable):
"s -> (s0,s1), (s1,s2), (s... | 16,059 | 32.810526 | 113 | py |
pytorch | pytorch-main/caffe2/quantization/server/sigmoid_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from hypothesis import given
dyndep.InitOpsLibrary("//caffe2/caffe2/quantization/server:dnnlowp_ops")
workspace.GlobalInit(["caffe2", "--caffe2_... | 2,203 | 30.485714 | 84 | py |
pytorch | pytorch-main/caffe2/quantization/server/concat_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_results_close
from hypothesis import given
dyndep.InitOpsLibrary("//ca... | 3,265 | 32.326531 | 87 | py |
pytorch | pytorch-main/caffe2/quantization/server/elementwise_linear_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_results_close
from hypothesis import given
dyndep.InitOpsLibrary("//ca... | 3,101 | 32 | 87 | py |
pytorch | pytorch-main/caffe2/quantization/server/fully_connected_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.dnnlowp_test_utils import (
avoid_vpmaddubsw_ove... | 10,748 | 35.938144 | 104 | py |
pytorch | pytorch-main/caffe2/quantization/server/conv_dnnlowp_acc16_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, utils, workspace
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.dnnlowp_test_utils import (
check_quantiz... | 14,202 | 35.048223 | 96 | py |
pytorch | pytorch-main/caffe2/quantization/server/compute_equalization_scale_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 3,154 | 37.47561 | 78 | py |
pytorch | pytorch-main/caffe2/quantization/server/batch_permutation_dnnlowp_op_test.py |
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from hypothesis import given, settings
dyndep.InitOpsLibrary("//caffe2/caffe2/quantization/server:dnnlowp_ops")
workspace.GlobalInit(["caffe2", "--caffe2_omp_num_th... | 1,449 | 34.365854 | 84 | py |
pytorch | pytorch-main/caffe2/quantization/server/pool_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_results_close
from hypothesis import assume, given
dyndep.InitOpsLibra... | 6,125 | 29.326733 | 87 | py |
pytorch | pytorch-main/caffe2/quantization/server/elementwise_sum_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_results_close
from hypothesis import given
dyndep.InitOpsLibrary("//ca... | 9,682 | 32.975439 | 87 | py |
pytorch | pytorch-main/caffe2/quantization/server/fully_connected_dnnlowp_acc16_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.dnnlowp_test_utils import (
check_quantized_resu... | 8,324 | 34.425532 | 84 | py |
pytorch | pytorch-main/caffe2/quantization/server/conv_groupwise_dnnlowp_acc16_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, utils, workspace
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.dnnlowp_test_utils import (
check_quantiz... | 11,664 | 33.717262 | 88 | py |
pytorch | pytorch-main/caffe2/quantization/server/int8_gen_quant_params_min_max_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 3,491 | 40.571429 | 147 | py |
pytorch | pytorch-main/caffe2/quantization/server/elementwise_mul_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_results_close
from hypothesis import given, settings
dyndep.InitOpsLib... | 6,315 | 32.417989 | 87 | py |
pytorch | pytorch-main/caffe2/quantization/server/elementwise_add_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_results_close
from hypothesis import given
dyndep.InitOpsLibrary("//ca... | 6,662 | 33.169231 | 88 | py |
pytorch | pytorch-main/caffe2/quantization/server/dequantize_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server.dnnlowp_test_utils import check_quantized_results_close
from hypothesis import given
dyndep.InitOpsLibrary("//ca... | 1,743 | 31.296296 | 87 | py |
pytorch | pytorch-main/caffe2/quantization/server/batch_matmul_dnnlowp_op_test.py |
import collections
from itertools import product
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
import numpy as np
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.dnnlowp_test_utils imp... | 10,152 | 38.815686 | 100 | py |
pytorch | pytorch-main/caffe2/quantization/server/conv_depthwise_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.dnnlowp_test_utils import (
check_quantized_results_close,
gene... | 10,931 | 33.485804 | 86 | py |
pytorch | pytorch-main/caffe2/quantization/server/int8_gen_quant_params_test.py | # Copyright (c) 2016-present, Facebook, Inc.
#
# 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 agreed... | 3,550 | 38.021978 | 87 | py |
pytorch | pytorch-main/caffe2/quantization/server/conv_dnnlowp_op_test.py |
import collections
import caffe2.python.hypothesis_test_util as hu
import hypothesis.strategies as st
from caffe2.python import core, dyndep, workspace
from caffe2.quantization.server import utils as dnnlowp_utils
from caffe2.quantization.server.dnnlowp_test_utils import (
check_quantized_results_close,
gene... | 17,919 | 32.432836 | 99 | py |
pytorch | pytorch-main/.github/scripts/run_torchbench.py | """
Generate a torchbench test report from a file containing the PR body.
Currently, only supports running tests on specified model names
Testing environment:
- Intel Xeon 8259CL @ 2.50 GHz, 24 Cores with disabled Turbo and HT
- Nvidia Tesla T4
- Nvidia Driver 470.82.01
- Python 3.8
- CUDA 11.3
"""
import argparse
# ... | 11,195 | 33.238532 | 120 | py |
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