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Endpoints165 in github.com/keras-team/keras

⨍ Functions 14,520◇ Types & classes 1,698↳ Endpoints 165
RouteInput
keras_export(["keras.layers.Input", "keras.Input"])
keras/src/layers/core/input_layer.py:None
Routebatch_get_value
keras_export("keras._legacy.backend.batch_get_value")
keras/src/legacy/backend.py:None
Routecall
tf.function(input_signature=[tf.TensorSpec([None, 1])])
keras/src/backend/tensorflow/saved_model_test.py:None
Routecompute_ciou
keras_export("keras.utils.bounding_boxes.compute_ciou")
keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/iou.py:None
Routecompute_float8_amax_history
keras_export("keras.quantizers.compute_float8_amax_history")
keras/src/quantizers/quantizers.py:None
Routecompute_float8_scale
keras_export("keras.quantizers.compute_float8_scale")
keras/src/quantizers/quantizers.py:None
Routecompute_iou
keras_export("keras.utils.bounding_boxes.compute_iou")
keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/iou.py:None
Routeconcat
tf.function( input_signature=[tf.TensorSpec(shape=[], dtype=tf.string)] )
keras/src/backend/tensorflow/saved_model_test.py:None
Routeextract_patches
keras_export("keras.ops.image.extract_patches")
keras/src/ops/image.py:None
Routeextract_patches_3d
keras_export("keras.ops.image.extract_patches_3d")
keras/src/ops/image.py:None
Routef
tf.function( input_signature=[ tf.TensorSpec(shape=(None, 10, 10), dtype=tf.float3
keras/src/layers/rnn/gru_test.py:None
Routeget
keras_export("keras.initializers.get")
keras/src/initializers/__init__.py:None
Routeget
keras_export("keras.constraints.get")
keras/src/constraints/__init__.py:None
Routeget
keras_export("keras.metrics.get")
keras/src/metrics/__init__.py:None
Routeget
keras_export("keras.regularizers.get")
keras/src/regularizers/__init__.py:None
Routeget
keras_export("keras.activations.get")
keras/src/activations/__init__.py:None
Routeget
keras_export("keras.optimizers.get")
keras/src/optimizers/__init__.py:None
Routeget
keras_export("keras.dtype_policies.get")
keras/src/dtype_policies/__init__.py:None
Routeget
keras_export("keras.quantizers.get")
keras/src/quantizers/__init__.py:None
Routeget
keras_export("keras.losses.get")
keras/src/losses/__init__.py:None
Routeget_custom_objects
keras_export( [ "keras.saving.get_custom_objects", "keras.utils.get_custom_objects", ]
keras/src/saving/object_registration.py:None
Routeget_device_count
keras_export("keras.distribution.get_device_count")
keras/src/distribution/distribution_lib.py:None
Routeget_file
keras_export("keras.utils.get_file")
keras/src/utils/file_utils.py:None
Routeget_item
keras_export(["keras.ops.get_item", "keras.ops.numpy.get_item"])
keras/src/ops/numpy.py:None
Routeget_label_names
keras_export("keras.datasets.reuters.get_label_names")
keras/src/datasets/reuters.py:None
Routeget_registered_name
keras_export( [ "keras.saving.get_registered_name", "keras.utils.get_registered_name",
keras/src/saving/object_registration.py:None
Routeget_registered_object
keras_export( [ "keras.saving.get_registered_object", "keras.utils.get_registered_object",
keras/src/saving/object_registration.py:None
Routeget_source_inputs
keras_export("keras.utils.get_source_inputs")
keras/src/ops/operation_utils.py:None
Routeget_uid
keras_export("keras.backend.get_uid")
keras/src/utils/naming.py:None
Routeget_value
keras_export("keras._legacy.backend.get_value")
keras/src/legacy/backend.py:None
Routeget_word_index
keras_export("keras.datasets.reuters.get_word_index")
keras/src/datasets/reuters.py:None
Routeget_word_index
keras_export("keras.datasets.imdb.get_word_index")
keras/src/datasets/imdb.py:None
Routeinfer_fn
tf.function( input_signature=[tf.TensorSpec(shape=(None, 10), dtype=tf.float32)], auto
keras/src/export/saved_model_test.py:None
Routeinput_spec
input_spec.setter
keras/src/layers/layer.py:None
Routeinput_spec
input_spec.setter
keras/src/models/functional.py:None
Routemutate
tf.function(input_signature=[tf.TensorSpec([], tf.float32)])
keras/src/backend/tensorflow/saved_model_test.py:None
Routepreprocess_input
keras_export("keras.applications.xception.preprocess_input")
keras/src/applications/xception.py:None
Routepreprocess_input
keras_export("keras.applications.mobilenet_v3.preprocess_input")
keras/src/applications/mobilenet_v3.py:None
Routepreprocess_input
keras_export("keras.applications.inception_v3.preprocess_input")
keras/src/applications/inception_v3.py:None
Routepreprocess_input
keras_export("keras.applications.densenet.preprocess_input")
keras/src/applications/densenet.py:None
Routepreprocess_input
keras_export("keras.applications.convnext.preprocess_input")
keras/src/applications/convnext.py:None
Routepreprocess_input
keras_export("keras.applications.nasnet.preprocess_input")
keras/src/applications/nasnet.py:None
Routepreprocess_input
keras_export("keras.applications.vgg16.preprocess_input")
keras/src/applications/vgg16.py:None
Routepreprocess_input
keras_export("keras.applications.mobilenet.preprocess_input")
keras/src/applications/mobilenet.py:None
Routepreprocess_input
keras_export("keras.applications.inception_resnet_v2.preprocess_input")
keras/src/applications/inception_resnet_v2.py:None
Routepreprocess_input
keras_export("keras.applications.efficientnet_v2.preprocess_input")
keras/src/applications/efficientnet_v2.py:None
Routepreprocess_input
keras_export("keras.applications.imagenet_utils.preprocess_input")
keras/src/applications/imagenet_utils.py:None
Routepreprocess_input
keras_export("keras.applications.efficientnet.preprocess_input")
keras/src/applications/efficientnet.py:None
Routepreprocess_input
keras_export("keras.applications.mobilenet_v2.preprocess_input")
keras/src/applications/mobilenet_v2.py:None
Routepreprocess_input
keras_export("keras.applications.vgg19.preprocess_input")
keras/src/applications/vgg19.py:None
Routepreprocess_input
keras_export( [ "keras.applications.resnet50.preprocess_input", "keras.applications.resnet
keras/src/applications/resnet.py:None
Routepreprocess_input
keras_export("keras.applications.resnet_v2.preprocess_input")
keras/src/applications/resnet_v2.py:None
Routerun_scan
tf.function(input_signature=[tf.TensorSpec([None, 4])])
keras/src/ops/core_test.py:None
Routeserving_default
tf.function(input_signature=input_signature)
keras/src/backend/tensorflow/layer.py:None
Routetest_abs_method
patch("keras.src.ops.Absolute.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_and_method
patch("keras.src.ops.LogicalAnd.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_apply_gptq_with_unsupported_architectures
parameterized.named_parameters( ( "no_embedding_layer", models.Sequential([lay
keras/src/quantizers/gptq_core_test.py:None
Routetest_ask_to_proceed_with_overwrite_invalid_then_no
patch("builtins.input", side_effect=["invalid", "n"])
keras/src/utils/io_utils_test.py:None
Routetest_ask_to_proceed_with_overwrite_invalid_then_yes
patch("builtins.input", side_effect=["invalid", "invalid", "y"])
keras/src/utils/io_utils_test.py:None
Routetest_ask_to_proceed_with_overwrite_no
patch("builtins.input", side_effect=["n"])
keras/src/utils/io_utils_test.py:None
Routetest_ask_to_proceed_with_overwrite_yes
patch("builtins.input", side_effect=["y"])
keras/src/utils/io_utils_test.py:None
Routetest_binary_correctness_indexed_slices
parameterized.named_parameters( named_product( BINARY_OPS_TESTS, get_sparsenes
keras/src/ops/numpy_test.py:None
Routetest_binary_correctness_sparse_tensor
parameterized.named_parameters( named_product( BINARY_OPS_TESTS, get_sparsenes
keras/src/ops/numpy_test.py:None
Routetest_bincount
parameterized.named_parameters( named_product(sparse_input=(False, True), sparse_arg=(False, True))
keras/src/ops/numpy_test.py:None
Routetest_class_weight_to_sample_weights
parameterized.named_parameters( [ # Simple case, where y is flat (
keras/src/trainers/data_adapters/data_adapter_utils_test.py:None
Routetest_class_weights
parameterized.named_parameters( named_product(target_encoding=["int", "categorical"]) )
keras/src/trainers/data_adapters/array_data_adapter_test.py:None
Routetest_cloning_correctness
parameterized.named_parameters( ("mlp_functional", get_mlp_functional_model), ("cnn_functional
keras/src/models/cloning_test.py:None
Routetest_compile_preserved
parameterized.named_parameters( ("subclassed", _get_subclassed_model), ("basic_sequential", _g
keras/src/saving/saving_lib_test.py:None
Routetest_compute_output_shape
parameterized.named_parameters( named_product( mode=("int", "one_hot", "multi_hot", "count
keras/src/layers/preprocessing/hashing_test.py:None
Routetest_compute_output_shape_modes
parameterized.named_parameters( [ { "testcase_name": "int_mode",
keras/src/layers/preprocessing/discretization_test.py:None
Routetest_compute_output_shape_num_bins
parameterized.named_parameters( named_product( [ { "te
keras/src/layers/preprocessing/discretization_test.py:None
Routetest_conv1d_basic
parameterized.parameters( { "filters": 5, "kernel_size": 2, "strid
keras/src/layers/convolutional/conv_test.py:None
Routetest_conv1d_transpose
parameterized.parameters( { "filters": 5, "kernel_size": 2, "strid
keras/src/layers/convolutional/conv_transpose_test.py:None
Routetest_conv1d_transpose_basic
parameterized.parameters( { "filters": 5, "kernel_size": 2, "strid
keras/src/layers/convolutional/conv_transpose_test.py:None
Routetest_conv1d_transpose_consistency
parameterized.product( kernel_size=list(range(1, 5)), strides=list(range(1, 5)), paddi
keras/src/layers/convolutional/conv_transpose_test.py:None
Routetest_conv2d_basic
parameterized.parameters( { "filters": 5, "kernel_size": 2, "strid
keras/src/layers/convolutional/conv_test.py:None
Routetest_conv2d_transpose
parameterized.parameters( { "filters": 5, "kernel_size": 2, "strid
keras/src/layers/convolutional/conv_transpose_test.py:None
Routetest_conv2d_transpose_basic
parameterized.parameters( { "filters": 5, "kernel_size": 2, "strid
keras/src/layers/convolutional/conv_transpose_test.py:None
Routetest_conv3d_basic
parameterized.parameters( { "filters": 5, "kernel_size": 2, "strid
keras/src/layers/convolutional/conv_test.py:None
Routetest_conv3d_transpose
parameterized.parameters( { "filters": 5, "kernel_size": 2, "strid
keras/src/layers/convolutional/conv_transpose_test.py:None
Routetest_conv3d_transpose_basic
parameterized.parameters( { "filters": 5, "kernel_size": 2, "strid
keras/src/layers/convolutional/conv_transpose_test.py:None
Routetest_convert_all_formats
parameterized.named_parameters( *[ (f"{source}_{target}", source, target) for
keras/src/layers/preprocessing/image_preprocessing/bounding_boxes/converters_test.py:None
Routetest_correctness
parameterized.named_parameters( named_product( [ { "te
keras/src/layers/preprocessing/discretization_test.py:None
Routetest_correctness
parameterized.product( axis=(-1, 1), input_shape=((5, 2, 3), (5, 3, 3, 2)), moving_mea
keras/src/layers/normalization/batch_normalization_test.py:None
Routetest_count_output
parameterized.named_parameters( ( "1d_input", [0, 1, 2, 3, 4], [2.
keras/src/layers/preprocessing/hashing_test.py:None
Routetest_create_with_list_devices
mock.patch.object( distribution_lib, "list_devices", return_value=[f"cpu:{i}" for i in
keras/src/distribution/distribution_lib_test.py:None
Routetest_cropping_2d_error_on_excessive_cropping
parameterized.product( ( {"cropping": ((4, 5), (0, 0)), "input_shape": (3, 8, 9, 5)},
keras/src/layers/reshaping/cropping2d_test.py:None
Routetest_custom_clone_function
parameterized.named_parameters( ("mlp_functional", get_mlp_functional_model), ("cnn_functional
keras/src/models/cloning_test.py:None
Routetest_data_format_serialization
parameterized.named_parameters( ("aug_mix", layers.AugMix, {}), ("auto_contrast", layers.AutoC
keras/src/layers/preprocessing/image_preprocessing/base_image_preprocessing_layer_test.py:None
Routetest_dense_quantize_config
parameterized.named_parameters( ("int8", "int8", {"axis": 0}, {}), ( "int4",
keras/src/layers/core/dense_test.py:None
Routetest_depthwise_conv1d_basic
parameterized.parameters( { "depth_multiplier": 5, "kernel_size": 2,
keras/src/layers/convolutional/depthwise_conv_test.py:None
Routetest_depthwise_conv2d_basic
parameterized.parameters( { "depth_multiplier": 5, "kernel_size": 2,
keras/src/layers/convolutional/depthwise_conv_test.py:None
Routetest_dict_input_names_preserved
pytest.mark.skipif( _litert_torch_version() is not None and _litert_torch_version() <= parse_v
keras/src/export/litert_torch_test.py:None
Routetest_div_method
patch("keras.src.ops.Divide.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_einsum_dense_basics
parameterized.named_parameters( { "testcase_name": "_1d_end_weight", "equation
keras/src/layers/core/einsum_dense_test.py:None
Routetest_einsum_dense_quantize
parameterized.named_parameters( ("int8", "int8", {"axis": 0}, {"axis": -1}), ( "in
keras/src/layers/core/einsum_dense_test.py:None
Routetest_embedding_quantize_config
parameterized.named_parameters( ("int8", "int8", {"axis": -1}), ( "int4",
keras/src/layers/core/embedding_test.py:None
Routetest_enable_lora
parameterized.named_parameters( { "testcase_name": "conv1d_kernel_size3_strides1",
keras/src/layers/convolutional/conv_test.py:None
Routetest_end_to_end_masking
pytest.mark.skipif( backend.backend() == "numpy", reason="compute_output_spec not supported wi
keras/src/layers/layer_test.py:None
Routetest_fake_quant_with_min_max_vars
parameterized.named_parameters( [ { "testcase_name": "wide_8bits_input_min
keras/src/quantizers/quantizers_test.py:None
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