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Functions14,520 in github.com/keras-team/keras

⨍ Functions 14,520◇ Types & classes 1,698↳ Endpoints 165
↓ 6 callersMethodquantize
Quantize the weights of the model. Note that the model must be built first before calling this method. `quantize` will recursively ca
keras/src/models/model.py:450
↓ 6 callersFunctionreadable_memory_size
Convert the weight memory size (Bytes) to a readable string.
keras/src/utils/summary_utils.py:49
↓ 6 callersMethodreset_state
(self)
keras/src/layers/rnn/rnn.py:325
↓ 6 callersFunctionresult_type
Returns the type from applying the Keras type promotion rules. In general, each argument is first parsed by `backend.standardize_dtype`, and
keras/src/backend/common/dtypes.py:281
↓ 6 callersMethodsetUp
(self)
keras/src/ops/image_test.py:3260
↓ 6 callersMethodsetup
(self)
keras/src/losses/losses_test.py:713
↓ 6 callersMethodsetup
(self)
keras/src/losses/losses_test.py:810
↓ 6 callersMethodsetup
(self)
keras/src/losses/losses_test.py:897
↓ 6 callersMethodsetup
(self)
keras/src/losses/losses_test.py:1973
↓ 6 callersMethodstart
Starts the handler's workers. This method is thread safe but is called from the main thread. It is safe to call this method multiple
keras/src/trainers/data_adapters/py_dataset_adapter.py:476
↓ 6 callersFunctiontorch_seed_generator
(seed)
keras/src/backend/torch/random.py:17
↓ 6 callersMethodupdate
Updates the progress bar. Args: current: Index of current step. values: List of tuples: `(name, value_for_last_step)`
keras/src/utils/progbar.py:85
↓ 5 callersFunctionConvNeXt
Instantiates ConvNeXt architecture given specific configuration. Args: depths: An iterable containing depths for each individual stages.
keras/src/applications/convnext.py:331
↓ 5 callersMethod__eq__
(self, other)
keras/src/dtype_policies/dtype_policy.py:190
↓ 5 callersMethod__init__
(self, alpha, *, beta=1.0, name=None)
keras/src/ops/operation_test.py:34
↓ 5 callersMethod__init__
(self, name="accuracy", dtype=None)
keras/src/metrics/accuracy_metrics.py:53
↓ 5 callersMethod__init__
( self, num_classes, target_class_ids, name=None, dtype=None,
keras/src/metrics/iou_metrics.py:254
↓ 5 callersMethod__init__
( self, units, *, kernel_regularizer=None, kernel_initializer=None,
keras/src/saving/serialization_lib_test.py:584
↓ 5 callersMethod__init__
( self, initial_learning_rate, decay_steps, alpha=0.0, name="CosineDec
keras/src/optimizers/schedules/learning_rate_schedule.py:671
↓ 5 callersFunction_adjust_input
(inputs, num_spatial_dims, data_format)
keras/src/backend/openvino/nn.py:580
↓ 5 callersFunction_adjust_outputs
(outputs, num_spatial_dims, data_format)
keras/src/backend/openvino/nn.py:619
↓ 5 callersMethod_check_reloading_model
(self, ref_input, model, tf_keras_model)
keras/src/legacy/saving/legacy_h5_format_test.py:324
↓ 5 callersMethod_check_super_called
(self)
keras/src/layers/layer.py:1667
↓ 5 callersFunction_convert_to_spatial_operand
( x, num_spatial_dims, data_format="channels_last", include_batch_and_channels=True, )
keras/src/backend/jax/nn.py:185
↓ 5 callersFunction_convert_to_spatial_operand
( x, num_spatial_dims, data_format="channels_last", include_batch_and_channels=True, )
keras/src/backend/numpy/nn.py:236
↓ 5 callersMethod_convert_to_tensor
(self, value, dtype=None)
keras/src/backend/common/variables.py:422
↓ 5 callersMethod_get_compiled_model
( self, use_ema=True, jit_compile=True, loss_scale=False )
keras/src/callbacks/swap_ema_weights_test.py:37
↓ 5 callersFunction_get_complex_tensor_from_tuple
(x)
keras/src/backend/torch/math.py:170
↓ 5 callersFunction_get_complex_tensor_from_tuple
(x)
keras/src/backend/jax/math.py:102
↓ 5 callersMethod_get_concrete_fn
Workaround for some SavedModel quirks.
keras/src/export/saved_model_export_archive.py:315
↓ 5 callersFunction_get_model
()
keras/src/models/model_test.py:20
↓ 5 callersFunction_get_output_shape_given_tf_padding
( input_size, kernel_size, strides, padding, output_padding, dilation_rate )
keras/src/backend/common/backend_utils.py:271
↓ 5 callersMethod_get_state_sharding_spec
(self)
keras/src/backend/jax/trainer.py:906
↓ 5 callersFunction_load_state
( saveable, weights_store, assets_store, inner_path, skip_mismatch=False, visited_save
keras/src/saving/saving_lib.py:833
↓ 5 callersFunction_preprocess_conv2d_input
(x, data_format, force_transpose=False)
keras/src/legacy/backend.py:441
↓ 5 callersMethod_raise_if_frozen
(self)
keras/src/utils/config.py:102
↓ 5 callersMethod_run_test
( self, y_true, y_pred, sample_weights, average, beta,
keras/src/metrics/f_score_metrics_test.py:9
↓ 5 callersMethod_run_through_graph
Execute the graph. At each node we compute outputs via `operation_fn(node.operation)(*args, **kwargs)`.
keras/src/ops/function.py:173
↓ 5 callersFunction_saturate_cast
(x, dtype, backend_module=None)
keras/src/ops/core.py:950
↓ 5 callersFunction_save_state
( saveable, weights_store, assets_store, inner_path, visited_saveables, )
keras/src/saving/saving_lib.py:768
↓ 5 callersMethod_set_quantization_info
(self)
keras/src/layers/core/einsum_dense.py:1596
↓ 5 callersMethod_standardize_batch
(self, batch)
keras/src/trainers/data_adapters/py_dataset_adapter.py:225
↓ 5 callersFunction_transpose_spatial_inputs
(inputs)
keras/src/backend/tensorflow/nn.py:204
↓ 5 callersFunction_transpose_spatial_outputs
(outputs)
keras/src/backend/tensorflow/nn.py:222
↓ 5 callersMethod_validate_inputs
Validates arguments of the call method.
keras/src/layers/attention/attention.py:284
↓ 5 callersMethod_verify_litert_export
( self, model, ref_input, filepath=None, **export_kwargs )
keras/src/export/litert_torch_test.py:80
↓ 5 callersMethodadd_to_store
(self, store_name, value)
keras/src/utils/tracking.py:119
↓ 5 callersMethodadd_variable_from_reference
Add an optimizer variable from the model variable. Create an optimizer variable based on the information of model variable. For examp
keras/src/optimizers/base_optimizer.py:286
↓ 5 callersFunctionany
(x, axis=None, keepdims=False)
keras/src/backend/openvino/numpy.py:297
↓ 5 callersFunctionany
(x, axis=None, keepdims=False)
keras/src/backend/tensorflow/numpy.py:807
↓ 5 callersFunctionapply_affine_transform
Applies an affine transformation specified by the parameters given. DEPRECATED.
keras/src/legacy/preprocessing/image.py:1772
↓ 5 callersMethodassertAllInRange
(self, array, min_val, max_val)
keras/src/layers/preprocessing/image_preprocessing/clahe_test.py:11
↓ 5 callersMethodassign
(self, variable, value)
keras/src/backend/tensorflow/optimizer.py:47
↓ 5 callersMethodassign_sub
(self, value)
keras/src/backend/common/variables.py:303
↓ 5 callersMethodbuild
(self, input_shape)
keras/src/layers/normalization/batch_normalization.py:240
↓ 5 callersFunctioncheck_conv_transpose_input_channels
Validate a conv_transpose input against its kernel shape. `conv_transpose` kernels use the layout `(spatial..., out_channels, in_channels)`,
keras/src/backend/common/backend_utils.py:400
↓ 5 callersMethodcompute_output_spec
(self, f, xs)
keras/src/ops/core.py:20
↓ 5 callersMethodcompute_output_spec
(self, x)
keras/src/ops/math.py:560
↓ 5 callersMethodcompute_output_spec
(self, *args, **kwargs)
keras/src/layers/layer.py:1202
↓ 5 callersFunctionconvert_spec_to_tensor
(spec, replace_none_number=None)
keras/src/export/export_utils.py:137
↓ 5 callersFunctionconvert_to_numpy
Convert a tensor to a NumPy array. Args: x: A tensor. Returns: A NumPy array.
keras/src/ops/core.py:1053
↓ 5 callersMethodcreate_tar
(self)
keras/src/utils/file_utils_test.py:245
↓ 5 callersFunctiondeserialize_keras_object
Retrieve the object by deserializing the config dict. The config dict is a Python dictionary that consists of a set of key-value pairs, and r
keras/src/saving/serialization_lib.py:433
↓ 5 callersMethodenable_lora
( self, rank, lora_alpha=None, a_initializer="he_uniform", b_initializ
keras/src/layers/core/einsum_dense.py:320
↓ 5 callersMethodget_config
(self)
keras/src/initializers/random_initializers.py:604
↓ 5 callersMethodget_config
(self)
keras/src/dtype_policies/dtype_policy.py:177
↓ 5 callersFunctionget_model
(type="sequential", input_shape=(10,), layer_list=None)
keras/src/export/onnx_test.py:34
↓ 5 callersMethodget_model
(self)
keras/src/saving/saving_api_test.py:20
↓ 5 callersMethodget_state_tree
Retrieves tree-like structure of model variables. This method allows retrieval of different model variables (trainable, non-trainable
keras/src/models/model.py:924
↓ 5 callersFunctionget_stateless_scope
()
keras/src/backend/common/stateless_scope.py:104
↓ 5 callersMethodget_tf_dataset
(self)
keras/src/trainers/data_adapters/py_dataset_adapter.py:298
↓ 5 callersMethodget_tf_dataset
(self)
keras/src/trainers/data_adapters/generator_data_adapter.py:37
↓ 5 callersMethodinteger_categorical
( cls, max_tokens=None, num_oov_indices=1, output_mode="one_hot", name
keras/src/layers/preprocessing/feature_space.py:331
↓ 5 callersMethodinteger_hashed
(cls, num_bins, output_mode="one_hot", name=None)
keras/src/layers/preprocessing/feature_space.py:377
↓ 5 callersFunctionis_float_dtype
(dtype)
keras/src/backend/common/variables.py:662
↓ 5 callersFunctionis_tensor
(x)
keras/src/backend/torch/core.py:283
↓ 5 callersFunctionis_tf_dataset
(dataset)
keras/src/utils/dataset_utils.py:460
↓ 5 callersFunctionmake_node_key
(op, node_index)
keras/src/ops/function.py:256
↓ 5 callersFunctionmax
(x, axis=None, keepdims=False, initial=None)
keras/src/backend/torch/numpy.py:200
↓ 5 callersFunctionmax
(x, axis=None, keepdims=False, initial=None)
keras/src/backend/tensorflow/numpy.py:729
↓ 5 callersFunctionmin
(x, axis=None, keepdims=False, initial=None)
keras/src/backend/jax/numpy.py:1061
↓ 5 callersFunctionmoveaxis
(x, source, destination)
keras/src/backend/tensorflow/numpy.py:2305
↓ 5 callersFunctionndim
DEPRECATED.
keras/src/legacy/backend.py:1042
↓ 5 callersMethodnext
(self, ordered=True)
keras/src/random/seed_generator.py:98
↓ 5 callersFunctionnormalize
Normalizes an array. If the input is a NumPy array, a NumPy array will be returned. If it's a backend tensor, a backend tensor will be return
keras/src/utils/numerical_utils.py:9
↓ 5 callersFunctionnp_conv2d
( x, kernel_weights, bias_weights, strides, padding, data_format, dilation_rate,
keras/src/layers/convolutional/conv_test.py:99
↓ 5 callersMethodnp_cosine_decay_restarts
( self, step, decay_steps, t_mul=2.0, m_mul=1.0, alpha=0.0 )
keras/src/optimizers/schedules/learning_rate_schedule_test.py:394
↓ 5 callersMethodon_train_batch_end
(self, batch, logs=None)
keras/src/callbacks/callback_list.py:194
↓ 5 callersFunctionresolve_path
(path)
keras/src/utils/file_utils.py:44
↓ 5 callersMethodresolve_path
(path, object)
keras/src/trainers/compile_utils.py:710
↓ 5 callersMethodresult
(self)
keras/src/metrics/reduction_metrics.py:155
↓ 5 callersMethodresult
Compute the intersection-over-union via the confusion matrix.
keras/src/metrics/iou_metrics.py:282
↓ 5 callersMethodscale_loss
Scale the loss before computing gradients. Scales the loss before gradients are computed in a `train_step`. This is primarily useful
keras/src/optimizers/base_optimizer.py:691
↓ 5 callersMethodsetUp
(self)
keras/src/distribution/distribution_lib_test.py:573
↓ 5 callersFunctionshape_to_ov_output
Convert a shape tuple/list to an i32 ov.Output. Unlike get_ov_output, handles mixed shapes where some dims are OpenVINOKerasTensor scalars (f
keras/src/backend/openvino/core.py:158
↓ 5 callersMethodskip_if_invalid_image_data_format_for_model
( self, app, image_data_format )
keras/src/applications/applications_test.py:132
↓ 5 callersFunctionsparseness
(x)
keras/src/ops/numpy_test.py:7971
↓ 5 callersMethodstep
(inputs, states)
keras/src/layers/rnn/rnn.py:335
↓ 5 callersMethodstop
Stops running threads and wait for them to exit, if necessary. This method is thread safe and is called from various threads. Note that
keras/src/trainers/data_adapters/py_dataset_adapter.py:491
↓ 5 callersFunctionsum
DEPRECATED.
keras/src/legacy/backend.py:2112
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