| input_tensor: is not type input_tensor. Received… | exception | error | |
| input_tensor: is not type input_tensor. Received… | exception | error | |
| input_tensor must be a valid Keras tensor type; Received | exception | error | |
| Cannot compute sparse categorical crossentropy with `axis= | exception | error | |
| should be a TensorLayout type, got | exception | error | |
| Unknown converter attribute | validation | error | |
| Unknown target_spec attribute | validation | error | |
| Invalid `output_shape | exception | error | |
| map_coordinates currently requires order<=1 | exception | error | |
| `sparse=True` is not supported with numpy backend | exception | error | |
| The provided configuration is not a valid Keras… | exception | error | |
| Unable to import backend | exception | error | |
| `factor` argument cannot have an upper bound lesser than… | validation | error | keras, data-augmentation, argument-validation, legacy, random-height |
| Unknown Inception-ResNet block type. Expects "block35"… | exception | error | |
| If imagenet weights are being loaded, depth multiplier must… | exception | error | |
| Last dimension of inputs to `cdist` must match | exception | error | |
| Require at least Ampere arch to run | exception | error | |
| A KerasTensor is symbolic: it's a placeholder for a shape… | exception | error | |
| Backend ' ' must implement the Trainer class. | exception | error | |
| Incompatible shapes between `a` and `b`. Expected… | validation | error | keras, linalg, linear-solve, shape-validation, solver |
| input_tensor is not a Keras tensor; Received `input_tensor= | exception | error | |
| All `axis` values must be in the range | exception | error | |
| `factor` argument cannot have an upper bound less than the… | validation | error | keras, data-augmentation, argument-validation, legacy, random-width |
| Invalid `ord` argument for vector norm. Received: ord= | exception | error | |
| Only one of `pad_to_aspect_ratio` & `crop_to_aspect_ratio`… | exception | error | |
| `decode_predictions` expects a batch of predictions (i.e. a… | exception | error | |
| `unroll` must be an positive integer or boolean. Received… | exception | error | |
| adaptive_average_pool supports 1D, 2D, or 3D inputs only. | exception | error | |
| Arguments not recognized | validation | error | |
| was passed incompatible inputs. For input ' ', expected… | exception | error | keras, shape-mismatch, input-validation, functional |
| Argument `num_segments` cannot be set when sorted is True… | exception | error | |
| Axis of input tensor should have a defined dimension but… | exception | error | |
| Received an invalid value for argument `units`, expected a… | exception | error | keras, rnn, constructor-validation, units |
| The input ' ' is not optional, but None was passed. Please… | validation | error | |
| Argument `segment_ids` should be an 1-D vector, got shape | validation | error | keras, segment-ops, shape-validation, grouped-reduction, jax-semantics |
| Expected all elements in `variables` to be `tf.Variable`… | exception | error | |
| Invalid `data_format` argument | validation | error | keras, upsampling2d, data-format, argument-validation |
| Layer does not take a `factor` argument. Received: factor= | validation | error | keras, image-preprocessing, invalid-argument, config |
| Lora is incompatible with kernel constraints. In order to… | exception | error | keras, lora, einsum-dense, kernel-constraint, peft |
| `overwrite_with_gradient` must be a boolean. Received | validation | error | |
| Argument `size` must be a tuple of two elements (height… | exception | error | |
| `ragged=True` is not supported with numpy backend | exception | error | |
| The `fill_value` argument should be a number (or a list of… | exception | error | keras, preprocessing, argument-validation, shape |
| Unknown `fill_mode` . Expected of one . | exception | error | keras, preprocessing, argument-validation, enum |
| After filtering for sequences shorter than maxlen= | validation | error | |
| Missing data for input | validation | error | |
| The `seed` and `generator` variable must be set in the… | validation | error | |
| First dim of `coordinates` must be the same as the rank of… | exception | error | keras, image, map-coordinates, shape-mismatch, input-validation |
| Multiple target dimensions are not supported. Expected… | exception | error | keras, batch-dot, axes-validation, legacy-backend |
| Cannot apply softmax to a tensor that is 1D. Received input | exception | error | |
| JVP is not supported by the Numpy backend. | exception | error | |
| All cells must have a `state_size` attribute. Received cell… | exception | error | keras, rnn, custom-cell, state-size |
| Invalid padding | exception | error | keras, tensorflow, convolution, padding, argument-validation |
| `interpolation` argument should be one of | exception | error | |
| `Pipeline` config must contain a `layers` key mapping to a… | validation | error | |
| The shape of `window` must be equal to… | exception | error | |
| If a string is passed to `window`, it must be one of… | exception | error | |
| The `weights` argument should be either `None` (random… | exception | error | keras, image-ops, padding, argument-validation |
| axis size must be divisible by 2. Received: x.shape= | exception | error | |
| If `bounding_boxes['boxes']` is a list, then… | validation | error | keras, bounding-boxes, input-validation, object-detection |
| NASNet does not support the `channels_first` image data… | exception | error | |
| Unsupported data type | exception | error | |
| The structure of `inputs` doesn't match the expected… | validation | error | |
| Expected ` ` to have shape (B, 1, T, S) or (B, N, T, S)… | validation | error | |
| Invalid strategy . Supported values are 'greedy' and… | exception | error | |
| `start_index+length= | exception | error | keras, timeseries, preprocessing, index-bounds |
| All entries in `input_tensors` must be KerasTensors… | validation | error | |
| Architecture configuration does not match | exception | error | keras, image-ops, rank-error, shape-mismatch |
| Invalid axes: . Axes must be a tuple of two different… | exception | error | |
| Invalid data_format: . Expected 'channels_first' or… | exception | error | |
| The `mask` passed to the `TimeDistributed` layer has a shape | exception | error | keras, time-distributed, masking, dimension-mismatch |
| Values in `cropping` argument should be smaller than the… | validation | error | keras, cropping3d, runtime-shape-check, reshaping-layer |
| `fft_length` must equal or larger than `sequence_length`… | exception | error | |
| When creating a Variable from an initializer, the `shape`… | exception | error | |
| You must specify a layout_map argument. | exception | error | |
| Invalid images rank: expected rank 3 (single image) or rank… | exception | error | |
| Unknown vectorization mode: | exception | error | keras, text, tokenizer, mode |
| Unsupported value `sparse=True` with numpy backend | exception | error | |
| compute_iou() expects boxes1 to be batched, or to be… | validation | error | keras, bounding-boxes, iou, rank-error |
| Received: value_range= | validation | error | keras, image-preprocessing, auto-contrast, invalid-argument |
| Weight count mismatch for layer # | exception | error | |
| Argument `num_thresholds` must be an integer > 0. Received… | exception | error | keras, metrics, num-thresholds |
| `height` and `width` must be set if `format='xyxy'`. | validation | error | keras, bounding-boxes, clip, missing-argument |
| Input length must be statically known for adaptive pooling | exception | error | |
| Shape mismatch in for weight . Weight expects shape … | exception | error | |
| When using `output_mode= | exception | error | keras, vocabulary, frozen-state, shape-validation |
| Expected b.shape[0] to be equal to a.shape[0]. Received… | validation | error | |
| Found reserved mask token at unexpected location in… | validation | error | keras, preprocessing, index-lookup, vocabulary, special-tokens |
| Invalid `ord` argument for matrix norm. Received: ord= | exception | error | |
| Layer node index out of bounds.
inbound_layer = | exception | error | |
| `patches` has unexpected rank for 3D channels_first… | exception | error | keras, image, patches, data-format, rank-error |
| Pooling inputs's shape must be 3, 4 or 5, corresponding to… | exception | error | |
| `track` is not implemented in the numpy backend. | exception | error | |
| You must build the layer before accessing `embeddings`. | exception | error | keras, embedding, build-state, attribute-access |
| Argument `metric_variables` must be a list of tensors… | exception | error | keras, metrics, stateless-api, variables |
| Cannot unroll a RNN if the time dimension is undefined.
-… | exception | error | |
| input_tensor: is type: which is not a valid type | exception | error | |
| Threshold values must be in [0, 1]. Received | validation | error | keras, metrics, thresholds, validation, valueerror |
| Axis is out of bounds for input shape . Received: axis= | exception | error | |
| Invalid value for argument `reduction`. Expected one of | exception | error | |