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Endpoints165 in github.com/keras-team/keras

⨍ Functions 14,520◇ Types & classes 1,698↳ Endpoints 165
Routetest_floordiv_method
patch("keras.src.ops.FloorDivide.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_function
functools.partial(jax.jit, static_argnames="target_layout")
keras/src/backend/jax/distribution_lib_test.py:None
Routetest_functional_pickling
parameterized.named_parameters( ("single_output_1", _get_model_single_output), ("single_output
keras/src/models/model_test.py:None
Routetest_functional_single_output
parameterized.named_parameters( ("single_output_1", _get_model_single_output, None), ("single_
keras/src/models/model_test.py:None
Routetest_ge_method
patch("keras.src.ops.GreaterEqual.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_getitem_method
patch("keras.src.ops.GetItem.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_gt_method
patch("keras.src.ops.Greater.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_hash_list_input
parameterized.named_parameters( ( "list_input", [1, 2, 3], [1, 1,
keras/src/layers/preprocessing/hashing_test.py:None
Routetest_high_dim_attention
parameterized.named_parameters( ("4d_inputs_1freebatch_mask2", (3, 4), (3, 2), (4, 2), (2,)),
keras/src/layers/attention/multi_head_attention_test.py:None
Routetest_inference_after_instantiation
parameterized.named_parameters( ("subclassed", _get_subclassed_model), ("basic_sequential", _g
keras/src/saving/saving_lib_test.py:None
Routetest_initialize_with_all_job_addresses
mock.patch.object(jax.distributed, "initialize", return_value=None)
keras/src/backend/jax/distribution_lib_test.py:None
Routetest_initialize_with_coordinator_address
mock.patch.object(jax.distributed, "initialize", return_value=None)
keras/src/backend/jax/distribution_lib_test.py:None
Routetest_input_signature
parameterized.named_parameters( named_product( model_type=["sequential", "functional", "su
keras/src/export/saved_model_test.py:None
Routetest_input_tensors
parameterized.named_parameters( ("cnn_functional", get_cnn_functional_model), ("cnn_sequential
keras/src/models/cloning_test.py:None
Routetest_int4_grouped_multi_reduced_axes
parameterized.named_parameters( # Attention output: bnh,nhd->bd (two reduced axes: n, h) # Ker
keras/src/layers/core/einsum_dense_test.py:None
Routetest_invert_method
patch("keras.src.ops.LogicalNot.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_is_link_in_dir
parameterized.named_parameters( [ { "testcase_name": "hardlink_in",
keras/src/utils/file_utils_test.py:None
Routetest_le_method
patch("keras.src.ops.LessEqual.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_lt_method
patch("keras.src.ops.Less.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_map_coordinates
parameterized.named_parameters( named_product( # (input_shape, coordinates_shape)
keras/src/ops/image_test.py:None
Routetest_matmul_method
patch("keras.src.ops.Matmul.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_mod_method
patch("keras.src.ops.Mod.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_mul_method
patch("keras.src.ops.Multiply.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_ne_method
patch("keras.src.ops.NotEqual.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_neg_method
patch("keras.src.ops.Negative.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_not_implemented_error
parameterized.named_parameters( ("call", "call", None), ("compute_output_shape", "compute_outp
keras/src/layers/layer_test.py:None
Routetest_num_model_replicas
mock.patch.object(backend_dlib, "num_processes", return_value=2)
keras/src/distribution/distribution_lib_test.py:None
Routetest_num_processes_validation
mock.patch.object(backend_dlib, "num_processes", return_value=4)
keras/src/distribution/distribution_lib_test.py:None
Routetest_one_hot_output
pytest.mark.skipif( backend.backend() != "tensorflow", reason="one_hot output only supported o
keras/src/layers/preprocessing/text_vectorization_test.py:None
Routetest_one_hot_symbolic_output_shape_nested_input
pytest.mark.skipif( backend.backend() == "numpy", reason=( "StringLookup symbolic
keras/src/layers/preprocessing/string_lookup_test.py:None
Routetest_or_method
patch("keras.src.ops.LogicalOr.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_output_padding_serialization
parameterized.parameters( { "layer_cls": layers.Conv1DTranspose, "input_shape"
keras/src/layers/convolutional/conv_transpose_test.py:None
Routetest_pow_method
patch("keras.src.ops.Power.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_print_msg_interactive_with_line_break
patch("sys.stdout.write")
keras/src/utils/io_utils_test.py:None
Routetest_print_msg_interactive_without_line_break
patch("sys.stdout.write")
keras/src/utils/io_utils_test.py:None
Routetest_print_msg_non_interactive
patch("absl.logging.info")
keras/src/utils/io_utils_test.py:None
Routetest_quantize_with_filters
parameterized.named_parameters( ("regex_string", "dense_1", ["dense_1"]), ("list_of_regex", ["
keras/src/models/model_test.py:None
Routetest_radd_method
patch("keras.src.ops.Add.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_rand_method
patch("keras.src.ops.LogicalAnd.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_rdiv_method
patch("keras.src.ops.Divide.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_reversible_embedding_quantize
parameterized.named_parameters( ("int8", "int8", {"axis": -1}, {"axis": -1}), ( "i
keras/src/layers/core/reversible_embedding_test.py:None
Routetest_rfloordiv_method
patch("keras.src.ops.FloorDivide.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_rmatmul_method
patch("keras.src.ops.Matmul.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_rmod_method
patch("keras.src.ops.Mod.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_rmul_method
patch("keras.src.ops.Multiply.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_ror_method
patch("keras.src.ops.LogicalOr.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_rpow_method
patch("keras.src.ops.Power.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_rsub_method
patch("keras.src.ops.Subtract.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_rtruediv_method
patch("keras.src.ops.TrueDivide.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_rxor_method
patch("keras.src.ops.LogicalXor.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_save_load_tf_idf_mode
pytest.mark.skipif( backend.backend() != "tensorflow", reason="Requires string input dtype" )
keras/src/layers/preprocessing/text_vectorization_test.py:None
Routetest_save_load_with_ngrams_flow
pytest.mark.skipif( backend.backend() != "tensorflow", reason="Requires string input dtype" )
keras/src/layers/preprocessing/text_vectorization_test.py:None
Routetest_saving
pytest.mark.skipif( backend.backend() != "tensorflow", reason="Requires string input dtype" )
keras/src/layers/preprocessing/index_lookup_test.py:None
Routetest_separable_conv1d_basic
parameterized.parameters( { "depth_multiplier": 5, "filters": 5, "
keras/src/layers/convolutional/separable_conv_test.py:None
Routetest_separable_conv2d_basic
parameterized.parameters( { "depth_multiplier": 5, "filters": 5, "
keras/src/layers/convolutional/separable_conv_test.py:None
Routetest_shape_inference_static_unknown_shape
parameterized.product( kernel_size=list(range(1, 5)), strides=list(range(1, 5)), paddi
keras/src/layers/convolutional/conv_transpose_test.py:None
Routetest_sub_method
patch("keras.src.ops.Subtract.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_symbolic_tensor_output_shape
parameterized.named_parameters( named_product( [ { "te
keras/src/layers/preprocessing/discretization_test.py:None
Routetest_torch_cudnn_dispatch_fires
pytest.mark.skipif( backend.backend() != "torch", reason="Guards the torch-backend cuDNN dispa
keras/src/layers/rnn/gru_test.py:None
Routetest_trainer_with_raggeds
parameterized.named_parameters( [ { "testcase_name": "model",
keras/src/trainers/trainer_test.py:None
Routetest_truediv_method
patch("keras.src.ops.TrueDivide.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
Routetest_unsupported_type_multi_worker
mock.patch("keras.src.distribution.distribution_lib.distribution")
keras/src/trainers/data_adapters/data_adapter_utils_test.py:None
Routetest_while_loop
parameterized.named_parameters( [ { "testcase_name": "scalar_data_with_max
keras/src/ops/core_test.py:None
Routetest_while_loop_list_data
parameterized.named_parameters( [ { "testcase_name": "with_max",
keras/src/ops/core_test.py:None
Routetest_xor_method
patch("keras.src.ops.LogicalXor.symbolic_call")
keras/src/backend/common/keras_tensor_test.py:None
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