| Argument synchronized=True is not supported with JAX. | exception | error | |
| Arguments `sample_weight` and `class_weight` cannot be… | validation | error | |
| Axis is greater than the maximum allowed value | validation | error | |
| If class_mode=" ", y_col=" " column values must be strings. | exception | error | keras, dataframe, type-validation |
| Incompatible input shapes: axis values | validation | error | |
| Invalid `beta` argument value. It should be > 0. Received… | exception | error | keras, metrics, fbeta, range-validation |
| Invalid permutation argument `dims` for Permute Layer. The… | validation | error | keras, permute, argument-validation, reshaping-layer |
| `output_size` must be an integer or (depth, height, width)… | exception | error | |
| The `features` argument cannot be None or empty. | validation | error | |
| Unknown arg for output_mode | validation | error | |
| `count_weights` is not used when `output_mode` is not… | validation | error | |
| `output_size` must be an integer or (height, width) tuple… | exception | error | |
| Undefined shapes are not supported. | validation | error | |
| Unexpected keyword arguments | exception | error | |
| Weight count mismatch for layer # | exception | error | keras, loading, hdf5, weights, layer-mismatch |
| Cannot do batch_dot on inputs with different batch sizes… | exception | error | keras, batch-dot, batch-size-mismatch, legacy-backend |
| Cannot pass None at locations | exception | error | |
| Cholesky inverse failed | exception | error | keras, linalg, cholesky, matrix-inverse |
| Dimension ' ' was specified in the output ' ' but has no… | exception | error | keras, einsum-dense, einsum-equation, split-equation |
| Expected mode to be one of `caffe`, `tf` or `torch`… | exception | error | keras, cropping, shape-validation |
| Implicitly enabling GPTQ quantization by setting… | validation | error | keras, quantization, gptq, dtype-policy |
| Layer " " expects input(s), but it received input tensors… | validation | error | |
| `Model.layers` attribute is reserved and should not be… | exception | error | |
| The mask provided should be one dimension less than the… | validation | error | |
| When providing the `input_tensor` argument, you cannot… | exception | error | |
| `cropping` parameter of `Cropping1D` layer must be smaller… | validation | error | |
| Invalid value for argument `dtype`. Expected one of | exception | error | |
| `padding` should have two elements. Received: padding= | validation | error | keras, zero-padding2d, argument-validation, padding |
| Received an invalid value for argument `groups`, expected a… | validation | error | |
| `sparse=True` can only be used with the TensorFlow backend. | validation | error | keras, hashed-crossing, sparse, backend |
| `sparse=True` may only be used if `output_mode` is… | validation | error | |
| The layer was built with input_shape= | validation | error | keras, normalization, adapt, shape-validation |
| The provided job_addresses | validation | error | |
| AWQ quantization only supports 2D or 3D kernels. | exception | error | keras, awq, quantization, einsum-dense, kernel-rank |
| Expected `padding` to be a tuple of 2 tuples of 2 integers… | exception | error | |
| Invalid AUC summation method value | validation | error | keras, metrics, auc, enum, invalid-argument |
| Invalid mode ' '. Supported modes are: 'full'… | exception | error | |
| Must specify exactly two of left_cropping, right_cropping… | exception | error | keras, image, cropping, argument-validation |
| num_tokens must be set to use this layer. If the number of… | validation | error | |
| self._VALUE_RANGE_VALIDATION_ERROR + f"Received… | validation | error | keras, color-degeneration, value-range, constructor-validation |
| The rank of `mean` must be less than or equal to the number… | validation | error | keras, normalization, rank-validation |
| top_cropping must be >= 0. Received: top_cropping= | exception | error | |
| You must build the layer before accessing `kernel`. | exception | error | |
| `idf_weights` must be the same length as vocabulary… | validation | error | keras, preprocessing, index-lookup, tf-idf, length-mismatch |
| Please initialize `Bidirectional` layer with a… | validation | error | |
| Received an invalid value for `units`, expected a positive… | exception | error | keras, dense, type-validation, units |
| `sample_weight` property method has not been implemented in | exception | error | keras, iterator, not-implemented, abstract-method, sample-weights |
| The number of dimensions in `start_indices` must match the… | exception | error | keras, ops, slice, indices |
| input_tensor specified | exception | error | |
| Number of groups ( ) must be a multiple of the number of… | exception | error | |
| All `outputs` values must be KerasTensors. Received… | validation | error | |
| Invalid `epsilon` configuration. Expected a float… | validation | error | |
| Invalid image2 rank: expected rank 3 (single image) or rank… | validation | error | keras, image, ssim, shape-validation |
| Invalid `summation_method` argument value | exception | error | keras, metrics, auc, enum-validation |
| TF-IDF data must be a 1-index array. Received… | validation | error | keras, preprocessing, tf-idf, shape-validation |
| Argument `axes` must be a dict with integer keys. Received… | validation | error | |
| If using `weights` as `"imagenet"` with `include_top` as… | exception | error | keras, argument-validation, typeerror, image-ops |
| Input should have its | exception | error | keras, fft2, dynamic-shape, functional-model |
| `padding='valid'` requires output_size to equal size *… | exception | error | keras, image, patches, shape-mismatch, input-validation |
| `size` must have positive height and width. Received: size= | exception | error | keras, image, resize, argument-validation |
| The ` ` argument should be a number (or a list of two… | exception | error | keras, preprocessing, argument-validation, kernel-size |
| The name " " is used times in the model. All operation… | exception | error | keras, naming, serialization, graph |
| adapt() received an empty iterable (no batches). Expected… | validation | error | keras, normalization, adapt, empty-data |
| `AutocastScope` can only be used with a floating-point… | validation | error | |
| Cannot convert ' ' to a shape. | validation | error | |
| `idf_weights` should only be set if output_mode is… | validation | error | keras, preprocessing, index-lookup, tf-idf, argument-validation |
| If class_mode="binary" there must be 2 classes. | exception | error | keras, binary-classification, argument-validation |
| Invalid input type. Expected `float32` or `float64`… | exception | error | |
| Layer `add_metric()` method is deprecated. Add your metric… | exception | error | keras, metrics, deprecated-api, migration |
| must be an odd number. Received: = | exception | error | keras, preprocessing, argument-validation, kernel-size |
| Operation must be 'min' or 'max', received | exception | error | |
| Weight dimension ' ' did not have a match in either the… | exception | error | keras, einsum-dense, einsum-equation, kernel-shape |
| add_weight() takes at most 3 positional arguments but | validation | error | |
| `dtype` was passed both positionally and as a keyword… | validation | error | keras, layers, add-weight, dtype |
| Expected an integer value for `n`, got | validation | error | keras, repeat-vector, type-validation, argument-validation |
| Requested the loading of a vocabulary file outside of the… | validation | error | keras, preprocessing, index-lookup, deserialization, security |
| The lists `inputs` and `mask` should have the same length… | validation | error | keras, merge, masking, length-mismatch |
| Expected `variables` to be a list/tuple/set. Received… | exception | error | |
| `input_dim` must be a positive integer. Received: input_dim= | exception | error | keras, embedding, constructor-validation, input-dim |
| `labels` property method has not been implemented in | exception | error | keras, iterator, not-implemented, abstract-method |
| You need to either pass the `bin_boundaries` argument at… | validation | error | |
| Cannot create sharding when device mesh is not set for… | validation | error | |
| Invalid `floatx` configuration. Expected one of | validation | error | |
| Layer count mismatch when loading weights from file. Model… | exception | error | keras, loading, hdf5, weights, architecture-mismatch |
| output_size must be an integer. | exception | error | |
| The `weights` argument should be either `None` (random… | exception | error | keras, cropping, shape-validation |
| When specifying `crosses`, the argument `crossing_dim`… | validation | error | |
| A Keras Variable cannot be used as a boolean. | validation | error | |
| If class_mode=" ", y_col=" " column values must be type… | exception | error | keras, dataframe, type-validation |
| If using `weights='imagenet'` with `include_top=True`… | exception | error | |
| You cannot pass both `batch_size` and `batch_shape` at the… | exception | error | |
| Attempted to set a vocabulary larger than the maximum vocab… | validation | error | keras, preprocessing, index-lookup, vocabulary, size-limit |
| `cropping` cannot be negative. Received: cropping= | validation | error | |
| You need to set either `num_bins` or `bin_boundaries`. | validation | error | |
| adaptive_average_pool supports only 1D/2D/3D | exception | error | |
| All `HashedCrossing` inputs should have equal shape… | validation | error | keras, hashed-crossing, shape |
| Invalid AUC curve value | validation | error | keras, metrics, auc, enum, invalid-argument |
| Lora is incompatible with embedding constraints. In order… | exception | error | |
| output must be a tuple when multiple outputs are expected… | exception | error | |
| `salt` can only be used when `oov_method='farmhash'`… | validation | error | keras, preprocessing, index-lookup, hashing, argument-validation |