| If using `weights="imagenet"` as true, `classes` should be… | exception | error | keras, cropping, validation |
| already exist in the LayoutMap with value . Please make… | exception | error | |
| The following attributes cannot be saved to HDF5 file… | exception | error | keras, saving, hdf5, attribute-limit |
| When setting values directly, `mean` and `variance` must… | validation | error | keras, normalization, shape-validation |
| Expected the input image to be rank 3 or 4. Received… | validation | error | keras, color-degeneration, tensor-rank, image-preprocessing |
| Invalid value received for argument `noise_shape`. Expected… | validation | error | |
| A KerasTensor is symbolic: it's a placeholder for a shape… | exception | error | |
| Both `num_bins` and `bin_boundaries` should not be set… | validation | error | |
| `broadcast_to` is supported only for tuple and list… | exception | error | |
| Cannot concatenate features because feature | validation | error | keras, feature-space, concat, encoding |
| Expected `padding` to be a tuple of 2 integers. Received… | exception | error | keras, padding, legacy, argument-validation, time-series |
| Input with name ' ' of layer ' ' is incompatible with the… | validation | error | |
| `output_mode` must be `'int'` when `invert` is true… | validation | error | keras, preprocessing, index-lookup, argument-validation |
| Cannot convert ' ' to a shape. Found invalid dimension ' '… | validation | error | |
| Cannot merge tensors with different batch sizes. Received… | validation | error | keras, merge, batch-size, shape-mismatch |
| Could not extract num value from tensor | exception | error | |
| DenseNet does not support the `channels_first` image data… | exception | error | keras, image-ops, padding, shape-mismatch |
| Expected rebatched data to have batch size 1. Received… | validation | error | keras, feature-space, batch-size, shape |
| Please initialize `TimeDistributed` layer with a… | exception | error | keras, time-distributed, type-validation, constructor |
| There is no implicit conversions from float8 dtypes to… | exception | error | |
| When `output_mode="int"`, `dtype` should be an integer… | validation | error | keras, hashing, dtype, output-mode |
| A Sequential model configuration must be a dictionary… | exception | error | keras, sequential, from-config, serialization |
| ConvNeXt does not support the `channels_first` image data… | exception | error | keras, image-ops, argument-validation, internal-api |
| Input `x` should be a tuple of two tensors - real and… | exception | error | keras, fft, input-validation, shape |
| Invalid keys: " ". Valid variable key options are | validation | error | keras, metrics, confusion-matrix, dict-keys, internal-api |
| LU decomposition failed | validation | error | keras, linalg, lu, tensorflow, backend-specific |
| output_mode `'tf_idf'` does not support loading a… | validation | error | keras, preprocessing, index-lookup, tf-idf, unsupported-operation |
| Axis must be specified when shapes of a and weights differ. | exception | error | |
| Cannot adapt layer ' ' after setting a static vocabulary… | validation | error | keras, adapt, vocabulary, state-error |
| Cannot serialize because it doesn't implement… | exception | error | |
| Data not JSON Serializable | exception | error | keras, serialization, json, timeseries |
| Feature ' ' has `output_mode='one_hot'`. Thus its… | validation | error | keras, feature-space, one-hot, dtype |
| Invalid color mode: ; expected "rgb", "rgba", or… | validation | error | keras, image-data-generator, color-mode, invalid-argument |
| Invalid data_format | validation | error | keras, upsampling3d, data-format, argument-validation |
| Invalid value received for argument `stddev`. Expected a… | validation | error | |
| Targets `y_true` are expected to be a tensor of shape… | exception | error | |
| Unable to serialize to JSON. Unrecognized type . | exception | error | keras, serialization, json, custom-layers |
| Invalid input type for serialization. Received | exception | error | |
| Unknown type of input data | validation | error | |
| `call_function` argument is not supported with Sequential… | validation | error | keras, models, clone-model, sequential, functional |
| For 1D input, `output_size` tuple must have length 1… | exception | error | |
| Invalid value received for argument `noise_shape`. Expected… | validation | error | |
| is not a valid dtype for Keras type promotion. | exception | error | |
| Duplicate axes are not allowed. Received: axis= | exception | error | |
| q must be in the interval (0, 1) | exception | error | |
| `sparse` may only be true if `output_mode` is `"one_hot"`… | validation | error | keras, preprocessing, hashing, sparse, invalid-argument |
| `strides > 1` not supported in conjunction with… | exception | error | keras, convolution, transposed-conv, invalid-arguments |
| The number of repeats in `EfficientNet` must be > 0… | exception | error | keras, cropping, validation |
| When setting values directly, both `mean` and `variance`… | validation | error | keras, normalization, argument-validation |
| Argument `num_segments` must be set when using the JAX… | exception | error | |
| `axis` must be of type `int`. Received: axis= | exception | error | |
| cycle detected in type promotion lattice for node | exception | error | |
| If using `weights="imagenet"` with `include_top=True`… | exception | error | |
| lora is already enabled. This can only be done once per… | exception | error | keras, lora, idempotency, duplicate-call |
| `sparse=True` is not supported with the | exception | error | |
| The `factor` argument should be a number (or a list of two… | validation | error | keras, preprocessing, augmentation, validation |
| -dimensional array given. Array must be one or… | exception | error | |
| If imagenet weights are being loaded, alpha can be one… | exception | error | |
| In layer ' ', you forgot to call `super().__init__()` as… | exception | critical | keras, custom-layers, init, subclassing |
| Input size must be at least 32x32; Received `input_shape= | exception | error | |
| `patches` last dim ( ) is not divisible by prod(size) ( ). | exception | error | |
| `power_iterations` should be greater than zero. Received… | exception | error | |
| Unsupported arguments for LiteRT export with the PyTorch… | validation | error | |
| When providing the `input_tensor` argument, you cannot… | exception | error | |
| Could not interpret metric identifier | exception | error | |
| Invalid reference variable in StatelessScope: all keys in… | exception | error | |
| `label_weights` for multilabel data should be handled… | validation | error | keras, metrics, confusion-matrix, multilabel, internal-api |
| adaptive_max_pool supports only 1D/2D/3D inputs | validation | error | |
| inconsistent size for core dimension | exception | error | |
| Repeated axis in `axis | validation | error | |
| Arguments `clone_function` and `input_tensors` are only… | validation | error | keras, models, clone-model, subclassed-model, unsupported-argument |
| input_t is expected to be tensor, but got | exception | error | |
| Unrecognized keyword arguments passed to | validation | error | |
| `add_endpoint` is not implemented in the numpy backend. | exception | error | |
| For layer ' ', received ` ()` argument ` `, but `call()`… | validation | error | keras, shape-inference, signature-mismatch |
| Expected `bounding_boxes` agurment to be a dict with keys… | validation | error | keras, bounding-boxes, validation, missing-key |
| Expected the input image to be rank 3 or 4. Received… | validation | error | |
| Inputs have incompatible shapes. Received shapes | validation | error | keras, merge, shape-mismatch, broadcasting |
| Layer TextVectorization requires TensorFlow. Install it via… | exception | error | |
| Sequential model ' ' has already been configured to use… | exception | error | keras, sequential, input-shape, build |
| Expected `model` argument to be a `Sequential` model… | validation | error | keras, models, clone-model, sequential, internal-api, type-check |
| ` ` currently supports only non-overlapping reconstruction… | exception | error | |
| For `padding='same'`, `output_size` height | exception | error | |
| Invalid images rank: expected rank 3 (single image) or rank… | exception | error | keras, image, rank-validation, shape-mismatch |
| Invalid value for argument `aggregation`. Expected one of… | exception | error | |
| Unrecognized keyword arguments | exception | error | keras, text, tokenizer, validation |
| Backend ' ' must implement a layer mixin class. | exception | error | |
| If imagenet weights are being loaded, alpha must be one of… | exception | error | |
| Invalid padding ' ', must be 'same' or 'valid'. | validation | error | |
| Invalid value received for argument `noise_shape`. Expected… | validation | error | |
| `value` must be an integer, tuple or list. Received: value= | exception | error | |
| `attention_axes` must be an int, list, or tuple.Received… | exception | error | |
| Cannot enable lora on a layer that isn't yet built. | exception | error | keras, lora, einsum-dense, layer-build, peft |
| `HashedCrossing` should be called on a list or tuple of… | validation | error | keras, hashed-crossing, input-type |
| lora is not currently supported with GPTQ quantization. | exception | error | keras, lora, gptq, quantization, einsum-dense |
| Tensor from operation ' ' is part of a cycle. | exception | error | keras, graph, cycle, recurrent |
| The `padding` argument must be one of 'valid', 'same'… | exception | error | |
| Unknown variable name | exception | error | |
| A symbolic KerasTensor cannot be used as a boolean. | exception | error | |
| All `HashedCrossing` inputs should be dense tensors… | validation | error | keras, hashed-crossing, sparse-tensor, ragged |