| To export to LiteRT with the PyTorch backend, you must… | exception | error | |
| top_padding must be >= 0. Received: top_padding= | exception | error | keras, image, padding, negative-dimension, input-validation |
| Illegal None dimension in | validation | error | |
| Input spatial dimensions must be statically known for… | exception | error | |
| Please provide at least one valid confusion matrix variable… | validation | error | keras, metrics, confusion-matrix, dict-keys, internal-api |
| Saved configuration not understood. Configuration should be… | exception | error | |
| Sharding along sequence dimension not allowed in TPU kernel… | validation | error | |
| The PyTorch export requires the filepath to end with… | exception | error | keras, pytorch, export, file-extension, validation |
| Unable to serialize to JSON, because the TypeSpec class has… | exception | error | keras, serialization, json, tensorflow, typespec |
| All features referenced in the `crosses` argument should be… | validation | error | |
| Cannot set a tensor vocabulary on layer | exception | error | keras, preprocessing, index-lookup, eager-execution, tf-function |
| `cropping` should be either an int, a tuple of 3 ints… | validation | error | |
| Invalid value for argument `output_mode`. Expected one of | validation | error | keras, preprocessing, hashing, invalid-argument |
| We could not automatically infer the shape of the Lambda's… | exception | error | |
| Argument `layout_map` must be a `LayoutMap` instance… | exception | error | |
| Expected `model` argument to be a Functional Model… | validation | error | |
| A merge layer should be called on a list of inputs… | validation | error | keras, merge, input-format, api-misuse |
| All dimensions of `value` and `key`, except the last one… | exception | error | keras, attention, shape-mismatch, validation, grouped-query-attention |
| Invalid dtype | validation | error | |
| `output_sequence_length` must not be set if `output_mode`… | validation | error | |
| `padding` should be either an int, a tuple of 3 ints… | validation | error | |
| The number of dimensions in `inputs` must match the number… | exception | error | keras, ops, slice, shape |
| `cropping` parameter of `Cropping1D` layer must be smaller… | validation | error | |
| Incompatible shapes between `a` and `b`. Expected… | validation | error | keras, linalg, linear-solve, shape-validation, solver |
| input_shape[1] must equal input_tensor.shape[2]. Received… | exception | error | |
| Invalid `output_padding` argument. Each value in… | exception | error | keras, transposed-conv, output-padding, shape-mismatch |
| not a valid gufunc signature | exception | error | |
| Unrecognized value for `merge_mode`. Received | validation | error | |
| adapt() yielded a batch with incompatible shape. Expected | validation | error | |
| Input array must have at least 2 dimensions. Received… | exception | error | |
| When using relative bounding box formats (e.g. `rel_yxyx`)… | validation | error | keras, bounding-boxes, iou, relative-coordinates, missing-argument |
| `factor` argument must have values larger than -1… | validation | error | keras, data-augmentation, argument-validation, legacy, random-height |
| `adapt()` can only be called on a tf.data.Dataset or a dict… | validation | error | keras, preprocessing, feature-space, input-type |
| If imagenet weights are being loaded, alpha can be one of… | exception | error | |
| Input dtypes have no available implicit dtype promotion… | exception | error | |
| `label_mode` must be one of `"fine"`, `"coarse"`. Received… | validation | error | |
| R2Score expects 2D inputs with shape (batch_size… | validation | error | keras, metrics, r2-score, dynamic-shape, shape-mismatch |
| Unknown layer | validation | error | |
| When using `output_mode= | exception | error | keras, preprocessing, vocabulary, runtime-error |
| The input must have 3 channels; Received `input_shape= | exception | error | |
| The `weights` argument should be either `None` (random… | exception | error | |
| Got no `xs` to scan over and `length` not provided. | exception | error | |
| Invalid Functional model configuration. Missing node | validation | error | |
| Invalid tensor type | exception | error | keras, einsum-dense, quantization, internal-api |
| weights_path undefined | exception | error | keras, rank-validation, cropping |
| Invalid einsum equation | exception | error | keras, einsum-dense, einsum-equation, validation |
| left_padding must be >= 0. Received: left_padding= | exception | error | |
| Model name " " does not match weights variant " ". When… | exception | error | keras, image-ops, shape-mismatch, patch-embedding |
| Received `None` value for `axis` | validation | error | |
| `sparse=True` cannot be used with backend | validation | error | |
| The `salt` argument for `Hashing` can only be a tuple of… | validation | error | keras, preprocessing, hashing, salt, invalid-argument |
| Unrecognized format= | exception | error | |
| You cannot pass both `shape` and `batch_shape` at the same… | exception | error | |
| Cannot deserialize the model (invalid config data?) | validation | error | |
| Model does not have a `call()` method implemented. | exception | error | |
| Received: = | validation | error | keras, preprocessing, validation, augmentation |
| `sparse` may only be true if `output_mode` is `'one_hot'`… | validation | error | keras, preprocessing, index-lookup, argument-validation, sparse |
| All `inputs` values must be KerasTensors. Received: inputs= | validation | error | |
| Cannot set an empty vocabulary. Received: vocabulary= | validation | error | keras, preprocessing, index-lookup, vocabulary, empty-input |
| Cholesky decomposition failed. The input might not be a… | exception | error | |
| Expected b to have rank 1 or 2. Received: b.shape= | validation | error | |
| Iterating over a symbolic KerasTensor is not supported. | exception | error | |
| Layer StringLookup requires TensorFlow. Install it via `pip… | exception | error | |
| Cannot do batch_dot on inputs with rank < 2. Received… | exception | error | keras, batch-dot, tensor-rank, legacy-backend |
| For , a valid quantization structure must be provided… | exception | error | |
| Unknown : ' '. Please ensure you are using a… | exception | error | |
| mask_t is expected to be tensor, but got | exception | error | |
| `model_from_config` expects a dictionary, not a list… | exception | error | |
| `variance` must be length 4, got | validation | error | keras, bounding-boxes, encoding, variance |
| _backend_add_endpoint() must be implemented in backend… | exception | error | |
| Inputs to a layer should be tensors. Got | validation | error | |
| Invalid axis' indices | exception | error | keras, preprocessing, image, validation, negative-index |
| No such layer: . Existing layers are: . | exception | error | |
| `output_size` must be an integer or tuple of 1 integer… | exception | error | |
| The `value_range` argument should be a list of two numbers… | validation | error | |
| `convert_to_numpy` failed to convert the tensor. | exception | error | |
| Could not interpret loss identifier | exception | error | |
| In `axis`, axis is out of bounds for array of dimension | validation | error | |
| Unknown activation function | exception | error | keras, argument-validation, typeerror, image-ops |
| Input shape and output shape do not match at shared… | exception | error | keras, einsum-dense, shape-mismatch, split-equation |
| `input_shape` must be a tuple of three integers. | exception | error | |
| Arguments `target` and `output` must have the same shape… | validation | error | |
| Cannot perform batch_dot over axis 0. If your inputs are… | exception | error | keras, tensorflow, batch-dot, shape-mismatch |
| Channels are allowed and the first and last dimensions. | exception | error | keras, preprocessing, image, axis-order |
| Expected a square matrix. Received non-square input with… | validation | error | keras, linalg, square-matrix, shape-validation, eigendecomposition |
| Expected input to have rank >= 1. Received scalar input | validation | error | |
| Unexpected bias dimensions | exception | error | keras, tensorflow, bias-add, rank-mismatch |
| When class_id is provided, y_pred must be a 2D array with… | validation | error | keras, metrics, shape-mismatch, class-id, rank |
| Argument `output` must be at least rank 1. Received… | validation | error | |
| Axis is out of bounds for input shape . | exception | error | |
| Cannot quantize a layer that isn't yet built. Layer | validation | error | keras, quantization, build |
| output shape does not match core dimensions | exception | error | |
| Shapes used to initialize variables must be fully-defined… | validation | error | |
| The ` ` argument should be a number (or a list of two… | validation | error | keras, preprocessing, argument-validation, factor-range |
| -dimensional array given. Array must be two-dimensional | exception | error | |
| Feature ' ' has `output_mode='one_hot'`. However it isn't a… | validation | error | keras, feature-space, one-hot, cardinality |
| Unrolling requires a fixed number of timesteps. | exception | error | |
| Argument `name` must be a string and cannot contain… | exception | error | |
| Expected the two input tensors to have identical shapes… | validation | error | keras, hashed-crossing, shape |
| `idf_weights` must be set if output_mode is 'tf_idf'. | validation | error | keras, preprocessing, index-lookup, tf-idf, missing-argument |