| Invalid value for argument `order`. Expected one of | validation | error | |
| Received an invalid value for `threshold`, expected a… | exception | error | |
| `rot90` does not support tensors with dynamic rank for the… | exception | error | |
| Expected input `x` to have rank 2. Received: rank(x)= | exception | error | |
| Found bounding_boxes['boxes'].shape= | validation | error | keras, bounding-boxes, tensor-rank, batching |
| Inputs to `cdist` must have rank >= 2. Received shapes… | validation | error | keras, cdist, pairwise-distance, shape-validation, rank-error |
| Invalid value for argument `num_regressors`. Expected a… | validation | error | keras, metrics, r2-score, argument-out-of-range, regression |
| Invalid value for attribute `constraint`. Expected a… | validation | error | |
| The channel dimension of the inputs (last axis) should be… | exception | error | |
| When providing the `input_tensor` argument, you cannot… | exception | error | |
| All `HashedCrossing` inputs should have an integer or… | validation | error | keras, hashed-crossing, dtype |
| Expected `clone_function` argument to be a callable… | validation | error | keras, models, clone-model, callable-check, type-check |
| FBetaScore expects 2D inputs with shape (batch_size… | exception | error | keras, metrics, fbeta, shape-validation |
| `padding` should have 3 elements. Received | validation | error | |
| `cond` function must return a scalar boolean value, but got… | exception | error | |
| Invalid format for argument `axes`: it should contain two… | validation | error | |
| `searchsorted` only supports 1-D sorted sequences. You can… | exception | error | |
| Weight count mismatch for top-level weights when loading… | exception | error | |
| You tried to call `count_params` on layer | validation | error | keras, build, parameter-count |
| A merge layer should be called on a list of at least 1… | validation | error | keras, merge, empty-input |
| adaptive_max_pool supports only 1D/2D/3D | exception | error | |
| bottom_cropping must be >= 0. Received: bottom_cropping= | exception | error | |
| `pool_size` must be a tuple of 2 integers. | exception | error | |
| Quantization mode=' ' doesn't work well with… | validation | error | keras, quantization, dtype, float16 |
| `slice` is not supported by OpenVINO backend for… | exception | error | |
| Specifying `strides > 1` is not compatible with… | validation | error | |
| To use NNX with the JAX backend, you must install `flax`. | exception | error | |
| Cannot do batch_dot on inputs with different batch sizes… | validation | error | |
| Expected `size` to be a tuple of 2 integers. Received: size= | exception | error | keras, image, resize, argument-validation |
| If `max_tokens` is set for `IntegerLookup`, it must be… | validation | error | keras, argument-validation, integer-lookup |
| Input should have rank >= 2. Received: input.shape = | validation | error | |
| Input `x` should be a tuple of two tensors - real and… | exception | error | |
| Invalid images rank: expected rank 4 (batch of images)… | validation | error | keras, image, sobel, shape-validation |
| median only supports single axis reduction | exception | error | |
| Number of groups ( ) cannot be more than the number of… | exception | error | |
| order must be non-negative but got | exception | error | |
| Received an invalid value for argument `value_dim`… | exception | error | |
| `shape` argument cannot contain `None`. Received: shape= | exception | error | |
| The last dimension of inputs to `cdist` must match… | validation | error | keras, cdist, pairwise-distance, shape-validation, feature-dim |
| The `scale` argument should be a number in the range [0,1]… | validation | error | |
| Invalid `beta` argument value. It should be a Python float… | exception | error | keras, metrics, fbeta, type-validation |
| Invalid images rank: expected rank 3 (single image) or rank… | validation | error | keras, color-degeneration, compute-output-shape, tensor-rank |
| Invalid `threshold` argument value. It should verify 0 <… | exception | error | keras, metrics, fbeta, threshold, range-validation |
| `Sequential.layers` attribute is reserved and should not be… | exception | error | keras, sequential, attribute, layers |
| The number of input channels must match the kernel's input… | exception | error | |
| A `Dot` layer should be called on exactly 2 inputs… | validation | error | |
| Dropout is not supported when flash attention is enabled… | exception | error | |
| Invalid `curve` argument value | exception | error | keras, metrics, auc, enum-validation |
| Invalid `output_size` argument. Expected a tuple or list… | exception | error | |
| Invalid pooling mode | exception | error | |
| Layer HashedCrossing requires TensorFlow. Install it via… | exception | error | keras, hashed-crossing, tensorflow, import-error |
| The `weights` argument should be either `None` (random… | exception | error | |
| `true_fn` and `false_fn` should return outputs of the same… | exception | error | keras, ops, cond, shape-mismatch |
| Unknown `floatx` value | validation | error | |
| x2 must be provided if x1 is specified. | exception | error | |
| A KerasTensor is symbolic: it's a placeholder for a shape… | exception | error | |
| Argument `precision` must be in the range [0, 1]. Received… | exception | error | keras, metrics, precision, range-validation |
| Data and targets have to be of same length. Data length is | exception | error | keras, timeseries, preprocessing, validation |
| For `padding='same'`, `output_size` depth | exception | error | keras, image, patches, shape-mismatch, input-validation |
| `inputs` should be a list. Received: inputs= | validation | error | keras, concatenate, masking, input-format |
| Invalid `size` argument. Expected a tuple of length 2 or 3… | exception | error | |
| `patches` has unexpected rank for | exception | error | |
| The `weights` argument should be either `None` (random… | exception | error | |
| There are unsupported keys in `bounding_boxes | validation | error | keras, bounding-boxes, dict-keys, preprocessing |
| You are attempting to initialize a variable while in a… | validation | error | |
| `zoom_range` should be a float or a tuple or list of two… | exception | error | keras, data-augmentation, argument-validation |
| `bins` must be 1-D array-like | exception | error | |
| diag supports only 1D or 2D tensors | exception | error | |
| Function was called with an invalid input structure… | exception | error | keras, ops, function, pytree |
| No model config found in the file at | exception | error | keras, loading, hdf5, model-config |
| `outputs` argument cannot be empty. Received:
inputs= | exception | error | keras, ops, function, outputs |
| `patches` has unexpected rank for 3D reconstruction… | exception | error | keras, image, patches, rank-error, input-validation |
| Path ' ' matches multiple layout specification keys: … | exception | error | |
| The `weights` argument should be either `None` (random… | exception | error | |
| The `weights` argument should be either `None` (random… | exception | error | |
| Expected `trainable` to be a boolean. Received: trainable= | validation | error | |
| `inputs` argument cannot be empty. Received:
inputs= | exception | error | keras, ops, function, inputs |
| Invalid `size`. Expected length 2 for 2D reconstruction… | exception | error | |
| No endpoints have been set yet. Call add_endpoint(). | exception | error | |
| The `weights` argument should be either `None` (random… | exception | error | |
| When using `TextVectorization` to tokenize strings, the… | validation | error | |
| axes must be different | exception | error | |
| `backward_layer` need to be a `keras.layers.Layer`… | validation | error | |
| Input with name ' ' of layer ' ' is incompatible with the… | validation | error | |
| Invalid format for argument `axes`: list elements should be… | validation | error | |
| meshgrid requires at least 2 input arrays. Received | exception | error | |
| The model contains two variables with a duplicate path… | exception | error | keras, variables, checkpointing, naming |
| Torch export requires PyTorch backend. | exception | error | |
| `x` (images tensor) and `y` (labels) should have the same… | validation | error | keras, numpy-array-iterator, shape-mismatch, labels |
| A `Subtract` layer should be called on exactly 2 inputs… | validation | error | |
| Found reserved OOV token at unexpected location in… | validation | error | keras, preprocessing, index-lookup, vocabulary, special-tokens |
| If set, `max_tokens` must be greater than 1. Received… | validation | error | keras, preprocessing, index-lookup, validation |
| Invalid image1 rank: expected rank 3 (single image) or rank… | validation | error | keras, image, ssim, shape-validation |
| Invalid `output_size`. Expected length 3 (D, H, W). Got… | exception | error | keras, image, patches, argument-shape, input-validation |
| Invalid `threshold` argument value. It should be a Python… | exception | error | keras, metrics, fbeta, threshold, type-validation |
| Invalid value for `axis` argument: expected an int or a… | exception | error | |
| Layer " " expects named input(s) with keys , but it… | validation | error | |
| `num_tokens` must be >= 1. Received: num_tokens= | validation | error | |
| `patches` has unexpected rank for 2D channels_first… | exception | error | |
| Expected as input a list/tuple of 2 tensors. Received… | validation | error | keras, hashed-crossing, shape, input-validation |