| unsupported type of indices_or_sections | exception | error | |
| If `bounding_boxes['boxes']` and `bounding_boxes['labels']`… | validation | error | keras, bounding-boxes, length-mismatch, batch-data |
| The `shape` attribute of KerasTensor is immutable. One… | exception | error | |
| `x` and `weights` must both be BCOOs | validation | error | |
| `diagonal` requires input tensor with static rank. | exception | error | |
| LiteRT export requires TensorFlow or PyTorch backend. | exception | error | |
| `ragged` must not be true if `output_mode` is `'int'`… | validation | error | |
| The `factor` argument should be a number (or a list of two… | validation | error | keras, image-preprocessing, factor, invalid-argument |
| When providing the `input_tensor` argument, you cannot… | exception | error | |
| Argument `input_tensors` must be a KerasTensor. Received… | validation | error | keras, models, clone-model, keras-tensor, type-check |
| Array inputs to associative_scan must have the same first… | validation | error | |
| `idf_weights` should only be set if `output_mode` is… | validation | error | keras, preprocessing, index-lookup, tf-idf, argument-validation |
| Input should have rank >= 1. Received: input.shape = | exception | error | keras, fft, rank, shape |
| Invalid subset name: ; expected "training" or "validation". | validation | error | keras, validation-split, argument-validation |
| Invalid value for argument `synchronization`. Expected one… | exception | error | |
| `sliding_window` must be `None` or a positive integer… | exception | error | |
| state_size must be an integer, or a list/tuple of integers… | exception | error | |
| When the height of the images is unknown, `target_height`… | exception | error | |
| Argument synchronized=True is only supported with the… | validation | error | |
| ConvLSTM layers only support static input shapes for the… | exception | error | |
| Input with name ' ' of layer ' ' is incompatible with the… | validation | error | |
| Unexpected keyword argument(s) | validation | error | keras, models, clone-model, kwargs, api-mismatch |
| wrong number of output arguments: expected | exception | error | |
| All `HashedCrossing` inputs should have shape `()`… | validation | error | keras, hashed-crossing, shape |
| Argument `non_trainable_variables` must be a list of… | validation | error | keras, stateless, variables, validation |
| Expected a to have rank 2. Received: a.shape= | validation | error | |
| Input data in `NumpyArrayIterator` should have rank 4. You… | exception | error | keras, numpy, tensor-rank |
| `mask` should be a list. Received mask= | validation | error | keras, concatenate, masking |
| RandomCrop requires the input to have a fully defined… | validation | error | keras, random-crop, dynamic-shape, image-preprocessing |
| `x` and `weights` BCOOs must have the same indices | validation | error | |
| All tensors passed to `ops.shape` must have a statically… | validation | error | |
| Expected tuple or dict for `loop_vars`, Received | exception | error | |
| Input with name ' ' of layer ' ' is incompatible with the… | validation | error | |
| Invalid `strides` argument. Got | exception | error | |
| Output mode is invalid, it must be one of | validation | error | |
| Shape of weights must be consistent with shape of a along… | exception | error | |
| The `flip` operation does not support tensors with dynamic… | exception | error | |
| Unsupported data type | validation | error | keras, normalization, adapt, type-validation |
| When `output_mode` is `'tf_idf'`, `idf_weights` must be… | validation | error | keras, tf-idf, missing-argument, preprocessing |
| Layer Hashing requires TensorFlow. Install it via `pip… | exception | error | keras, hashing, tensorflow, import-error |
| Layer ' ' expected variables, but received variables during… | validation | error | keras, loading, weights, variable-mismatch |
| Layer ' ' is already quantized with dtype_policy=' '… | validation | error | keras, quantization, double-operation |
| `lcm` is only supported for integer types. | exception | error | |
| must be >= 0. Received: = | exception | error | keras, image, padding, argument-validation |
| Only `None` and `softmax` activations are allowed for the… | exception | error | |
| A `Dot` layer should be called on a list of 2 inputs… | validation | error | |
| Cannot convert ' ' to a shape. Negative dimensions are not… | validation | error | |
| Cannot perform batch_dot over axis 0. If your inputs are… | validation | error | |
| If class_mode=" ", y_col must be a list. Received . | exception | error | keras, dataframe, multi-output |
| If `num_processes` is greater than `num_model_replicas`… | exception | error | |
| `num_bins` must be greater than or equal to 0. Received… | validation | error | |
| Targets not JSON Serializable | exception | error | keras, serialization, json, timeseries |
| When specifying the `vocabulary` argument, in TF-IDF output… | validation | error | keras, preprocessing, index-lookup, tf-idf, missing-argument |
| wrong number of positional arguments: expected | exception | error | |
| Argument `num_thresholds` must be an integer > 1. Received… | exception | error | keras, metrics, auc, num-thresholds |
| Found bounding_boxes['boxes'].shape= | validation | error | keras, bounding-boxes, tensor-rank, input-validation |
| Input should have its last dimension fully-defined… | exception | error | keras, fft, dynamic-shape, functional-model |
| Invalid `padding`. Expected 'same' or 'valid'. Got | exception | error | |
| Invalid value for argument `device_name`. Expected a string… | validation | error | |
| Layers added to a Sequential model should have a single… | exception | error | keras, sequential, layer, introspection |
| Only instances of `keras.Layer` can be added to a… | exception | error | |
| `padding='valid'` requires output_size to equal size *… | exception | error | |
| Specify a dimension (`num_words` argument), or fit on some… | exception | error | keras, text, tokenizer, fit-before-transform |
| The argument `strides` cannot contains 0. Received strides= | exception | error | keras, depthwise-conv, strides, invalid-arguments |
| The `ragged` attribute of KerasTensor is immutable. One… | exception | error | |
| To call stateless_call | validation | error | keras, stateless, build, functional-api |
| Expected `bounding_boxes['boxes']` to have rank 2 or 3… | validation | error | keras, bounding-boxes, tensor-rank, input-validation |
| Input `x` must have at least 2 dimensions. Received shape | validation | error | |
| n must be an integer. Received: n= | validation | error | |
| `num_oov_indices` must be greater than or equal to 0… | validation | error | keras, preprocessing, index-lookup, argument-validation |
| Received invalid keys for `renorm_clipping` argument | validation | error | |
| `slice` operation requires tuple for `shape` with the… | exception | error | |
| Input arrays must be multi-channel 2D images. | exception | error | keras, preprocessing, image, tensor-shape |
| Invalid value for argument `precision`. Expected one of… | exception | error | |
| Rank convolutions are not currently implemented. Received… | validation | error | |
| target_height must be >= 0. Received: target_height= | exception | error | |
| A `Concatenate` layer should be called on a list of inputs… | validation | error | keras, concatenate, shape-inference, input-format |
| For `padding='same'`, `output_size | exception | error | |
| KerasTensor cannot have `sparse=True` and `ragged=True` at… | exception | error | |
| Scaling is invalid, it must be `None`, 'density' or… | validation | error | |
| The `factor` argument should be a number (or a list of two… | validation | error | keras, preprocessing, range-validation, augmentation |
| Vocabulary file does not exist. | validation | error | keras, preprocessing, index-lookup, file-path, vocabulary |
| If class_mode="binary" there must be 2 classes. Found | exception | error | keras, binary-classification, argument-validation |
| Input with name ' ' of layer ' ' is incompatible with the… | validation | error | |
| `load_model()` using h5 format requires h5py. Could not… | exception | error | keras, loading, hdf5, dependency |
| `ragged=True` is not supported with jax backend | validation | error | |
| Received: value_range= | validation | error | keras, preprocessing, validation, augmentation |
| The shape of the target variable and the shape of the… | validation | error | |
| When providing the `input_tensor` argument, you cannot… | exception | error | |
| Cannot do batch_dot on inputs with rank < 2. Received… | validation | error | keras, dot, batch-dot, rank-mismatch |
| Currently, `_float8_call` doesn't support LoRA | exception | error | keras, float8, quantization, lora, einsum-dense |
| Expected an integer value for `size`, got | validation | error | keras, upsampling1d, type-validation, argument-validation |
| `slice_update` is not supported by openvino backend for… | exception | error | |
| You need to call `.adapt(dataset)` on the FeatureSpace… | validation | error | keras, feature-space, adapt, state |
| A `Concatenate` layer should be called on a list of at… | validation | error | keras, concatenate, input-format |
| Argument `sensitivity` must be in the range [0, 1]… | exception | error | keras, metrics, sensitivity, range-validation |
| Invalid class_mode: ; expected one of | validation | error | keras, directory-iterator, class-mode, invalid-argument |
| select(): condlist and choicelist must have the same length | validation | error | |
| `side` must be either 'left' or 'right'. Received: side= | exception | error | |
| Invalid `size` argument. Expected an int or a tuple of… | exception | error | |