text stringlengths 5 261k | id stringlengths 16 106 | metadata dict | __index_level_0__ int64 0 266 |
|---|---|---|---|
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/layers/__init__.py/0 | {
"file_path": "keras-nlp/keras_nlp/layers/__init__.py",
"repo_id": "keras-nlp",
"token_count": 582
} | 136 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/layers/modeling/sine_position_encoding.py/0 | {
"file_path": "keras-nlp/keras_nlp/layers/modeling/sine_position_encoding.py",
"repo_id": "keras-nlp",
"token_count": 1533
} | 137 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/layers/preprocessing/random_deletion.py/0 | {
"file_path": "keras-nlp/keras_nlp/layers/preprocessing/random_deletion.py",
"repo_id": "keras-nlp",
"token_count": 4721
} | 138 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/metrics/rouge_n.py/0 | {
"file_path": "keras-nlp/keras_nlp/metrics/rouge_n.py",
"repo_id": "keras-nlp",
"token_count": 1766
} | 139 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/models/albert/albert_tokenizer_test.py/0 | {
"file_path": "keras-nlp/keras_nlp/models/albert/albert_tokenizer_test.py",
"repo_id": "keras-nlp",
"token_count": 1001
} | 140 |
# Copyright 2024 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/models/gemma/gemma_causal_lm_preprocessor_test.py/0 | {
"file_path": "keras-nlp/keras_nlp/models/gemma/gemma_causal_lm_preprocessor_test.py",
"repo_id": "keras-nlp",
"token_count": 1604
} | 141 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/models/gpt2/gpt2_causal_lm_preprocessor_test.py/0 | {
"file_path": "keras-nlp/keras_nlp/models/gpt2/gpt2_causal_lm_preprocessor_test.py",
"repo_id": "keras-nlp",
"token_count": 1770
} | 142 |
# Copyright 2022 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/models/gpt_neo_x/gpt_neo_x_preprocessor.py/0 | {
"file_path": "keras-nlp/keras_nlp/models/gpt_neo_x/gpt_neo_x_preprocessor.py",
"repo_id": "keras-nlp",
"token_count": 2258
} | 143 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/models/opt/opt_causal_lm_preprocessor_test.py/0 | {
"file_path": "keras-nlp/keras_nlp/models/opt/opt_causal_lm_preprocessor_test.py",
"repo_id": "keras-nlp",
"token_count": 1742
} | 144 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/models/task_test.py/0 | {
"file_path": "keras-nlp/keras_nlp/models/task_test.py",
"repo_id": "keras-nlp",
"token_count": 1416
} | 145 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/models/xlnet/xlnet_content_and_query_embedding.py/0 | {
"file_path": "keras-nlp/keras_nlp/models/xlnet/xlnet_content_and_query_embedding.py",
"repo_id": "keras-nlp",
"token_count": 2124
} | 146 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/samplers/top_p_sampler.py/0 | {
"file_path": "keras-nlp/keras_nlp/samplers/top_p_sampler.py",
"repo_id": "keras-nlp",
"token_count": 1677
} | 147 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/keras_nlp/tokenizers/word_piece_tokenizer_test.py/0 | {
"file_path": "keras-nlp/keras_nlp/tokenizers/word_piece_tokenizer_test.py",
"repo_id": "keras-nlp",
"token_count": 4220
} | 148 |
[tool.black]
line-length = 80
[tool.isort]
profile = "black"
force_single_line = "True"
known_first_party = ["keras_nlp", "tests"]
default_section = "THIRDPARTY"
line_length = 80
| keras-nlp/pyproject.toml/0 | {
"file_path": "keras-nlp/pyproject.toml",
"repo_id": "keras-nlp",
"token_count": 71
} | 149 |
# Copyright 2023 The KerasNLP Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in... | keras-nlp/tools/checkpoint_conversion/convert_mistral_checkpoints.py/0 | {
"file_path": "keras-nlp/tools/checkpoint_conversion/convert_mistral_checkpoints.py",
"repo_id": "keras-nlp",
"token_count": 5801
} | 150 |
"""Enables dynamic setting of underlying Keras module.
"""
_KERAS_BACKEND = None
_KERAS_UTILS = None
def set_keras_submodules(backend, utils):
# Deprecated, will be removed in the future.
global _KERAS_BACKEND
global _KERAS_UTILS
_KERAS_BACKEND = backend
_KERAS_UTILS = utils
def get_keras_submo... | keras-preprocessing/keras_preprocessing/__init__.py/0 | {
"file_path": "keras-preprocessing/keras_preprocessing/__init__.py",
"repo_id": "keras-preprocessing",
"token_count": 670
} | 151 |
import numpy as np
import pytest
from PIL import Image
from keras_preprocessing.image import image_data_generator, utils
@pytest.fixture(scope='module')
def all_test_images():
img_w = img_h = 20
rgb_images = []
rgba_images = []
gray_images = []
for n in range(8):
bias = np.random.rand(img... | keras-preprocessing/tests/image/image_data_generator_test.py/0 | {
"file_path": "keras-preprocessing/tests/image/image_data_generator_test.py",
"repo_id": "keras-preprocessing",
"token_count": 8328
} | 152 |
# Security Policy
If you have discovered a security vulnerability in this project, please report it
privately. **Do not disclose it as a public issue.** This gives us time to work with you
to fix the issue before public exposure, reducing the chance that the exploit will be
used before a patch is released.
You may su... | keras-tuner/SECURITY.md/0 | {
"file_path": "keras-tuner/SECURITY.md",
"repo_id": "keras-tuner",
"token_count": 178
} | 153 |
# Copyright 2019 The KerasTuner Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | keras-tuner/keras_tuner/applications/augment_test.py/0 | {
"file_path": "keras-tuner/keras_tuner/applications/augment_test.py",
"repo_id": "keras-tuner",
"token_count": 2658
} | 154 |
# Copyright 2019 The KerasTuner Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | keras-tuner/keras_tuner/distribute/oracle_chief.py/0 | {
"file_path": "keras-tuner/keras_tuner/distribute/oracle_chief.py",
"repo_id": "keras-tuner",
"token_count": 1297
} | 155 |
# Copyright 2019 The KerasTuner Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | keras-tuner/keras_tuner/engine/hyperparameters/hp_types/choice_hp.py/0 | {
"file_path": "keras-tuner/keras_tuner/engine/hyperparameters/hp_types/choice_hp.py",
"repo_id": "keras-tuner",
"token_count": 2500
} | 156 |
# Copyright 2019 The KerasTuner Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | keras-tuner/keras_tuner/engine/metrics_tracking_test.py/0 | {
"file_path": "keras-tuner/keras_tuner/engine/metrics_tracking_test.py",
"repo_id": "keras-tuner",
"token_count": 4057
} | 157 |
# Copyright 2019 The KerasTuner Authors
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | keras-tuner/keras_tuner/test_utils/mock_distribute.py/0 | {
"file_path": "keras-tuner/keras_tuner/test_utils/mock_distribute.py",
"repo_id": "keras-tuner",
"token_count": 1764
} | 158 |
import argparse
import glob
import os
import shutil
import namex
package = "keras_tuner"
build_directory = "build"
dist_directory = "dist"
to_copy = [
"setup.py",
"setup.cfg",
"README.md",
]
def ignore_files(_, filenames):
return [f for f in filenames if "test" in f]
def build():
if os.path.ex... | keras-tuner/pip_build.py/0 | {
"file_path": "keras-tuner/pip_build.py",
"repo_id": "keras-tuner",
"token_count": 1213
} | 159 |
"""Tests for tf.distribute related functionality under tf implementation."""
import numpy as np
import pytest
import tensorflow as tf
from tensorflow.python.eager import context
from keras import backend
from keras import layers
from keras import models
from keras import testing
from keras.backend.tensorflow import t... | keras/keras/backend/tensorflow/distribute_test.py/0 | {
"file_path": "keras/keras/backend/tensorflow/distribute_test.py",
"repo_id": "keras",
"token_count": 2037
} | 160 |
import tensorflow as tf
from keras.utils import tracking
class KerasAutoTrackable(tf.__internal__.tracking.AutoTrackable):
"""Manages dependencies on other objects with Keras tracking.
Similar to TF AutoTrackable, but disabling tracking is based
on tracking within Keras.
This serves as an interface... | keras/keras/backend/tensorflow/trackable.py/0 | {
"file_path": "keras/keras/backend/tensorflow/trackable.py",
"repo_id": "keras",
"token_count": 768
} | 161 |
import numpy as np
import pytest
from keras import models
from keras import testing
from keras.callbacks.callback import Callback
class CallbackTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_model_state_is_current_on_epoch_end(self):
class TestModel(models.Model):
... | keras/keras/callbacks/callback_test.py/0 | {
"file_path": "keras/keras/callbacks/callback_test.py",
"repo_id": "keras",
"token_count": 468
} | 162 |
import warnings
from unittest import mock
import numpy as np
from keras import backend
from keras import callbacks
from keras import layers
from keras import testing
from keras.models import Sequential
from keras.utils import numerical_utils
try:
import requests
except ImportError:
requests = None
class Te... | keras/keras/callbacks/remote_monitor_test.py/0 | {
"file_path": "keras/keras/callbacks/remote_monitor_test.py",
"repo_id": "keras",
"token_count": 1740
} | 163 |
import re
import numpy as np
from keras import activations
from keras import constraints
from keras import initializers
from keras import ops
from keras import regularizers
from keras.api_export import keras_export
from keras.layers.layer import Layer
@keras_export("keras.layers.EinsumDense")
class EinsumDense(Laye... | keras/keras/layers/core/einsum_dense.py/0 | {
"file_path": "keras/keras/layers/core/einsum_dense.py",
"repo_id": "keras",
"token_count": 7413
} | 164 |
import os
import numpy as np
import pytest
from absl.testing import parameterized
from tensorflow import data as tf_data
from keras import backend
from keras import layers
from keras import models
from keras import testing
from keras.saving import saving_api
class DiscretizationTest(testing.TestCase, parameterized.... | keras/keras/layers/preprocessing/discretization_test.py/0 | {
"file_path": "keras/keras/layers/preprocessing/discretization_test.py",
"repo_id": "keras",
"token_count": 3613
} | 165 |
import numpy as np
import pytest
from keras import backend
from keras import layers
from keras.testing import test_case
class SpatialDropoutTest(test_case.TestCase):
@pytest.mark.requires_trainable_backend
def test_spatial_dropout_1d(self):
self.run_layer_test(
layers.SpatialDropout1D,
... | keras/keras/layers/regularization/spatial_dropout_test.py/0 | {
"file_path": "keras/keras/layers/regularization/spatial_dropout_test.py",
"repo_id": "keras",
"token_count": 1761
} | 166 |
from keras import ops
from keras.api_export import keras_export
from keras.layers.input_spec import InputSpec
from keras.layers.layer import Layer
@keras_export("keras.layers.UpSampling1D")
class UpSampling1D(Layer):
"""Upsampling layer for 1D inputs.
Repeats each temporal step `size` times along the time ax... | keras/keras/layers/reshaping/up_sampling1d.py/0 | {
"file_path": "keras/keras/layers/reshaping/up_sampling1d.py",
"repo_id": "keras",
"token_count": 731
} | 167 |
import numpy as np
import pytest
from keras import initializers
from keras import layers
from keras import testing
class SimpleRNNTest(testing.TestCase):
@pytest.mark.requires_trainable_backend
def test_basics(self):
self.run_layer_test(
layers.SimpleRNN,
init_kwargs={"units":... | keras/keras/layers/rnn/simple_rnn_test.py/0 | {
"file_path": "keras/keras/layers/rnn/simple_rnn_test.py",
"repo_id": "keras",
"token_count": 5507
} | 168 |
import json
import os
import warnings
import numpy as np
from absl import logging
from keras import backend
from keras import optimizers
from keras.backend.common import global_state
from keras.legacy.saving import json_utils
from keras.legacy.saving import saving_options
from keras.legacy.saving import saving_utils
... | keras/keras/legacy/saving/legacy_h5_format.py/0 | {
"file_path": "keras/keras/legacy/saving/legacy_h5_format.py",
"repo_id": "keras",
"token_count": 10858
} | 169 |
import numpy as np
from absl.testing import parameterized
from keras import testing
from keras.metrics import f_score_metrics
class FBetaScoreTest(parameterized.TestCase, testing.TestCase):
def _run_test(
self,
y_true,
y_pred,
sample_weights,
average,
beta,
... | keras/keras/metrics/f_score_metrics_test.py/0 | {
"file_path": "keras/keras/metrics/f_score_metrics_test.py",
"repo_id": "keras",
"token_count": 5700
} | 170 |
import numpy as np
import pytest
import tree
from absl.testing import parameterized
from keras import layers
from keras import models
from keras import testing
from keras.models.cloning import clone_model
def get_mlp_functional_model(shared_layers=False):
inputs = layers.Input(shape=(3,))
x = layers.Dense(2)... | keras/keras/models/cloning_test.py/0 | {
"file_path": "keras/keras/models/cloning_test.py",
"repo_id": "keras",
"token_count": 1812
} | 171 |
from keras import backend
from keras.api_export import keras_export
from keras.backend import KerasTensor
from keras.backend import any_symbolic_tensors
from keras.ops.operation import Operation
from keras.ops.operation_utils import reduce_shape
class Cholesky(Operation):
def __init__(self):
super().__ini... | keras/keras/ops/linalg.py/0 | {
"file_path": "keras/keras/ops/linalg.py",
"repo_id": "keras",
"token_count": 8541
} | 172 |
from keras.api_export import keras_export
from keras.optimizers.adadelta import Adadelta
from keras.optimizers.adafactor import Adafactor
from keras.optimizers.adagrad import Adagrad
from keras.optimizers.adam import Adam
from keras.optimizers.adamax import Adamax
from keras.optimizers.adamw import AdamW
from keras.opt... | keras/keras/optimizers/__init__.py/0 | {
"file_path": "keras/keras/optimizers/__init__.py",
"repo_id": "keras",
"token_count": 1497
} | 173 |
from keras import ops
from keras.api_export import keras_export
from keras.optimizers import optimizer
@keras_export(["keras.optimizers.Lion"])
class Lion(optimizer.Optimizer):
"""Optimizer that implements the Lion algorithm.
The Lion optimizer is a stochastic-gradient-descent method that uses the
sign o... | keras/keras/optimizers/lion.py/0 | {
"file_path": "keras/keras/optimizers/lion.py",
"repo_id": "keras",
"token_count": 2224
} | 174 |
"""Object config serialization and deserialization logic."""
import importlib
import inspect
import types
import warnings
import numpy as np
from keras import api_export
from keras import backend
from keras.api_export import keras_export
from keras.backend.common import global_state
from keras.saving import object_r... | keras/keras/saving/serialization_lib.py/0 | {
"file_path": "keras/keras/saving/serialization_lib.py",
"repo_id": "keras",
"token_count": 12690
} | 175 |
import multiprocessing.dummy
import queue
import random
import threading
import time
import warnings
import weakref
from contextlib import closing
import numpy as np
import tree
from keras import backend
from keras.api_export import keras_export
from keras.trainers.data_adapters import data_adapter_utils
from keras.t... | keras/keras/trainers/data_adapters/py_dataset_adapter.py/0 | {
"file_path": "keras/keras/trainers/data_adapters/py_dataset_adapter.py",
"repo_id": "keras",
"token_count": 9208
} | 176 |
import os
import sys
from io import StringIO
from keras.testing import test_case
from keras.utils.code_stats import count_loc
class TestCountLoc(test_case.TestCase):
def setUp(self):
self.test_dir = "test_directory"
os.makedirs(self.test_dir, exist_ok=True)
def tearDown(self):
for ro... | keras/keras/utils/code_stats_test.py/0 | {
"file_path": "keras/keras/utils/code_stats_test.py",
"repo_id": "keras",
"token_count": 2502
} | 177 |
from keras.testing import test_case
from keras.utils import naming
class NamingUtilsTest(test_case.TestCase):
def test_uniquify_unique_name(self):
name = "the_unique_name"
unique_name = naming.uniquify(name)
self.assertEqual(unique_name, name)
def test_auto_name(self):
self.as... | keras/keras/utils/naming_test.py/0 | {
"file_path": "keras/keras/utils/naming_test.py",
"repo_id": "keras",
"token_count": 1909
} | 178 |
from keras.utils.module_utils import tensorflow as tf
def expand_dims(inputs, axis):
"""Expand dims on sparse, ragged, or dense tensors."""
if isinstance(inputs, tf.SparseTensor):
return tf.sparse.expand_dims(inputs, axis)
else:
return tf.expand_dims(inputs, axis)
def sparse_bincount(inp... | keras/keras/utils/tf_utils.py/0 | {
"file_path": "keras/keras/utils/tf_utils.py",
"repo_id": "keras",
"token_count": 2013
} | 179 |
[flake8]
ignore =
# Conflicts with black
E203
# defaults flake8 ignores
E121,E123,E126,E226,E24,E704,W503,W504
# Function name should be lowercase
N802
# lowercase ... imported as non lowercase
# Useful to ignore for "import keras.backend as K"
N812
# do not use bare 'except'
... | keras/setup.cfg/0 | {
"file_path": "keras/setup.cfg",
"repo_id": "keras",
"token_count": 289
} | 180 |
{
"python.linting.flake8Enabled": true,
"python.linting.pylintEnabled": false,
"python.linting.enabled": true,
"editor.rulers": [
80
],
"editor.formatOnSave": true,
"python.formatting.provider": "black",
"python.formatting.blackArgs": [
"--line-length",
"80"
],
"python.sortImports.... | tf-keras/.vscode/settings.json/0 | {
"file_path": "tf-keras/.vscode/settings.json",
"repo_id": "tf-keras",
"token_count": 260
} | 181 |
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/activations.py/0 | {
"file_path": "tf-keras/tf_keras/activations.py",
"repo_id": "tf-keras",
"token_count": 9022
} | 182 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/applications/efficientnet.py/0 | {
"file_path": "tf-keras/tf_keras/applications/efficientnet.py",
"repo_id": "tf-keras",
"token_count": 12097
} | 183 |
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/benchmarks/keras_examples_benchmarks/bidirectional_lstm_benchmark_test.py/0 | {
"file_path": "tf-keras/tf_keras/benchmarks/keras_examples_benchmarks/bidirectional_lstm_benchmark_test.py",
"repo_id": "tf-keras",
"token_count": 2382
} | 184 |
# Description:
# Implementation of TF-Keras benchmarks.
# Placeholder: load unaliased py_library
load("@org_keras//tf_keras:tf_keras.bzl", "cuda_py_test")
package(
# copybara:uncomment default_applicable_licenses = ["//tf_keras:license"],
default_visibility = ["//visibility:public"],
licenses = ["notice... | tf-keras/tf_keras/benchmarks/saved_model_benchmarks/BUILD/0 | {
"file_path": "tf-keras/tf_keras/benchmarks/saved_model_benchmarks/BUILD",
"repo_id": "tf-keras",
"token_count": 2015
} | 185 |
# Description:
# Contains the TF-Keras datasets package (internal TensorFlow version).
# Placeholder: load unaliased py_library
package(
# copybara:uncomment default_applicable_licenses = ["//tf_keras:license"],
default_visibility = [
"//tf_keras:friends",
],
licenses = ["notice"],
)
py_lib... | tf-keras/tf_keras/datasets/BUILD/0 | {
"file_path": "tf-keras/tf_keras/datasets/BUILD",
"repo_id": "tf-keras",
"token_count": 398
} | 186 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/distribute/custom_training_loop_metrics_test.py/0 | {
"file_path": "tf-keras/tf_keras/distribute/custom_training_loop_metrics_test.py",
"repo_id": "tf-keras",
"token_count": 1964
} | 187 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/distribute/keras_image_model_correctness_test.py/0 | {
"file_path": "tf-keras/tf_keras/distribute/keras_image_model_correctness_test.py",
"repo_id": "tf-keras",
"token_count": 3252
} | 188 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/distribute/multi_worker_test.py/0 | {
"file_path": "tf-keras/tf_keras/distribute/multi_worker_test.py",
"repo_id": "tf-keras",
"token_count": 8086
} | 189 |
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/engine/functional.py/0 | {
"file_path": "tf-keras/tf_keras/engine/functional.py",
"repo_id": "tf-keras",
"token_count": 31491
} | 190 |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/engine/sequential_test.py/0 | {
"file_path": "tf-keras/tf_keras/engine/sequential_test.py",
"repo_id": "tf-keras",
"token_count": 10831
} | 191 |
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/engine/training_v1.py/0 | {
"file_path": "tf-keras/tf_keras/engine/training_v1.py",
"repo_id": "tf-keras",
"token_count": 70865
} | 192 |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/feature_column/sequence_feature_column_test.py/0 | {
"file_path": "tf-keras/tf_keras/feature_column/sequence_feature_column_test.py",
"repo_id": "tf-keras",
"token_count": 20779
} | 193 |
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/integration_test/function_test.py/0 | {
"file_path": "tf-keras/tf_keras/integration_test/function_test.py",
"repo_id": "tf-keras",
"token_count": 4301
} | 194 |
import tensorflow as tf
from tensorflow import keras
from tf_keras.integration_test.models.input_spec import InputSpec
def get_data_spec(batch_size):
return (
{
"num_cat_feat": InputSpec(
(batch_size,), dtype="int32", range=[0, 5]
),
"string_cat_feat": ... | tf-keras/tf_keras/integration_test/models/structured_data_classification.py/0 | {
"file_path": "tf-keras/tf_keras/integration_test/models/structured_data_classification.py",
"repo_id": "tf-keras",
"token_count": 1396
} | 195 |
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/integration_test/saved_model_test.py/0 | {
"file_path": "tf-keras/tf_keras/integration_test/saved_model_test.py",
"repo_id": "tf-keras",
"token_count": 4332
} | 196 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/attention/attention_test.py/0 | {
"file_path": "tf-keras/tf_keras/layers/attention/attention_test.py",
"repo_id": "tf-keras",
"token_count": 12767
} | 197 |
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/convolutional/conv_test.py/0 | {
"file_path": "tf-keras/tf_keras/layers/convolutional/conv_test.py",
"repo_id": "tf-keras",
"token_count": 12416
} | 198 |
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/core/embedding_test.py/0 | {
"file_path": "tf-keras/tf_keras/layers/core/embedding_test.py",
"repo_id": "tf-keras",
"token_count": 5002
} | 199 |
# Description:
# Contains the TF-Keras locally-connected layers.
# Placeholder: load unaliased py_library
load("@org_keras//tf_keras:tf_keras.bzl", "tf_py_test")
package(
# copybara:uncomment default_applicable_licenses = ["//tf_keras:license"],
default_visibility = [
"//tf_keras:friends",
],
... | tf-keras/tf_keras/layers/locally_connected/BUILD/0 | {
"file_path": "tf-keras/tf_keras/layers/locally_connected/BUILD",
"repo_id": "tf-keras",
"token_count": 1159
} | 200 |
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/merging/multiply.py/0 | {
"file_path": "tf-keras/tf_keras/layers/merging/multiply.py",
"repo_id": "tf-keras",
"token_count": 1140
} | 201 |
# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/normalization/unit_normalization_test.py/0 | {
"file_path": "tf-keras/tf_keras/layers/normalization/unit_normalization_test.py",
"repo_id": "tf-keras",
"token_count": 1201
} | 202 |
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/pooling/global_average_pooling_test.py/0 | {
"file_path": "tf-keras/tf_keras/layers/pooling/global_average_pooling_test.py",
"repo_id": "tf-keras",
"token_count": 3137
} | 203 |
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/preprocessing/benchmarks/normalization_adapt_benchmark.py/0 | {
"file_path": "tf-keras/tf_keras/layers/preprocessing/benchmarks/normalization_adapt_benchmark.py",
"repo_id": "tf-keras",
"token_count": 1916
} | 204 |
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/preprocessing/index_lookup.py/0 | {
"file_path": "tf-keras/tf_keras/layers/preprocessing/index_lookup.py",
"repo_id": "tf-keras",
"token_count": 19702
} | 205 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/preprocessing/text_vectorization.py/0 | {
"file_path": "tf-keras/tf_keras/layers/preprocessing/text_vectorization.py",
"repo_id": "tf-keras",
"token_count": 12182
} | 206 |
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/regularization/spatial_dropout2d.py/0 | {
"file_path": "tf-keras/tf_keras/layers/regularization/spatial_dropout2d.py",
"repo_id": "tf-keras",
"token_count": 1204
} | 207 |
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/rnn/base_rnn_test.py/0 | {
"file_path": "tf-keras/tf_keras/layers/rnn/base_rnn_test.py",
"repo_id": "tf-keras",
"token_count": 40626
} | 208 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/rnn/gru_lstm_test.py/0 | {
"file_path": "tf-keras/tf_keras/layers/rnn/gru_lstm_test.py",
"repo_id": "tf-keras",
"token_count": 3243
} | 209 |
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/layers/rnn/time_distributed.py/0 | {
"file_path": "tf-keras/tf_keras/layers/rnn/time_distributed.py",
"repo_id": "tf-keras",
"token_count": 6969
} | 210 |
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/legacy_tf_layers/normalization.py/0 | {
"file_path": "tf-keras/tf_keras/legacy_tf_layers/normalization.py",
"repo_id": "tf-keras",
"token_count": 8887
} | 211 |
# Copyright 2023 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/metrics/f_score_metrics.py/0 | {
"file_path": "tf-keras/tf_keras/metrics/f_score_metrics.py",
"repo_id": "tf-keras",
"token_count": 5569
} | 212 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/mixed_precision/autocast_variable.py/0 | {
"file_path": "tf-keras/tf_keras/mixed_precision/autocast_variable.py",
"repo_id": "tf-keras",
"token_count": 8979
} | 213 |
# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/optimizers/adafactor.py/0 | {
"file_path": "tf-keras/tf_keras/optimizers/adafactor.py",
"repo_id": "tf-keras",
"token_count": 4143
} | 214 |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/optimizers/legacy/ftrl.py/0 | {
"file_path": "tf-keras/tf_keras/optimizers/legacy/ftrl.py",
"repo_id": "tf-keras",
"token_count": 5730
} | 215 |
"""Tests for calling optimizer on ParameterServerStrategy."""
import os
import tensorflow.compat.v2 as tf
from absl.testing import parameterized
import tf_keras as keras
from tf_keras.optimizers import adadelta
from tf_keras.optimizers import adagrad
from tf_keras.optimizers import adam
from tf_keras.optimizers impo... | tf-keras/tf_keras/optimizers/optimizer_pss_test.py/0 | {
"file_path": "tf-keras/tf_keras/optimizers/optimizer_pss_test.py",
"repo_id": "tf-keras",
"token_count": 4723
} | 216 |
# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/premade_models/wide_deep_test.py/0 | {
"file_path": "tf-keras/tf_keras/premade_models/wide_deep_test.py",
"repo_id": "tf-keras",
"token_count": 6609
} | 217 |
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/testing_infra/test_utils.py/0 | {
"file_path": "tf-keras/tf_keras/testing_infra/test_utils.py",
"repo_id": "tf-keras",
"token_count": 17000
} | 218 |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/tests/model_subclassing_compiled_test.py/0 | {
"file_path": "tf-keras/tf_keras/tests/model_subclassing_compiled_test.py",
"repo_id": "tf-keras",
"token_count": 8038
} | 219 |
#!/usr/bin/env bash
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | tf-keras/tf_keras/tools/pip_package/build_pip_package.sh/0 | {
"file_path": "tf-keras/tf_keras/tools/pip_package/build_pip_package.sh",
"repo_id": "tf-keras",
"token_count": 1651
} | 220 |
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/utils/dataset_utils.py/0 | {
"file_path": "tf-keras/tf_keras/utils/dataset_utils.py",
"repo_id": "tf-keras",
"token_count": 12231
} | 221 |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/utils/layer_utils.py/0 | {
"file_path": "tf-keras/tf_keras/utils/layer_utils.py",
"repo_id": "tf-keras",
"token_count": 18042
} | 222 |
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | tf-keras/tf_keras/utils/text_dataset_test.py/0 | {
"file_path": "tf-keras/tf_keras/utils/text_dataset_test.py",
"repo_id": "tf-keras",
"token_count": 5771
} | 223 |
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