tensorflow/models

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model_dir must be set.
exception error
Model is not supported.
exception error
Scores should have rank 1 or have shape consistent with…
exception error
`steps_per_loop` is required when `trainer` is provided.
exception error
The input size ( ) is not a multiple of the number of…
exception error
Invalid attention bias type
validation error
The `eval_type` can only be either `box` or `mask`.
validation error
`train_input_fn`, `total_training_steps`, `steps_per_loop`…
exception error
anchors must be an BoxList
exception error
bert_layer should be built.
validation error
Image should be 3D tensor
exception error
`set_quantize_activations` called on layer
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DefaultNBitActivationQuantizeConfig can only be used with…
exception error
If not using TFLite custom NMS, `use_class_agnostic_nms`…
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Resetting the generator.
console error
Unimplemented eval_metrics
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Unsupported mode is specified
validation error
` ` is not set. Pass ` ` to `Controller.__init__` before…
exception error
Batch size must be divisible by number of replicas
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For training, each question should have exactly 1 answer.
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`mask` elements should be in [0, 1]
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Only PolynomialDecay and ConstantSparsity are currently…
exception error
Parser is not supported.
validation error
Reference and translation files have different number of…
exception error
Did not pass all values of array
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Found inconsistency between key
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labels must be static in shape when is_static isTrue
exception error
The treatment_indicator feature
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does not have enough elements to gather, <
exception error
In the case of `norm_first`, the residual connection should…
exception error
indicator should be of type bool. Received
exception error
mode is not valid.
exception error
pool_boxes must be a BoxList
exception error
Hidden size ( ) must be divisible by the number of heads (…
exception error
Must provide at least one of training_file_pattern and…
exception error
Must use drop_remainder=True with…
exception error
No gradients provided for any variable
exception error
No images found in any folder for dataset
exception error
Requested downsampling at a non-existing middle depthwise…
exception error
segmentation_groundtruth_padded_size ([height, width])…
validation error
`use_tpu_summary_optimization=True` and…
exception error
An NMS algorithm is required for detection generator
exception error
match_results should be an int32 or int64 scalar tensor
exception error
Input should be a tf.Tensor or a sequence of tf.Tensor, not
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match_results should have rank 1
exception error
No instance metrics defined when use_masks is
exception error
The block spec cannot be empty for
exception error
The type of input shape argument is not supported, got
exception error
Block fn ` ` is not supported.
exception error
Padded decoding on CPU/GPUs is not supported.
exception error
Source encoder layers with
validation error
must be between and , got .
exception error
SpineNet is not a valid architecture.
exception error
must be an integer, got .
exception error
`image` not of type np.uint8
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Invalid tensor type: should be tf.float32
exception error
pool_boxes must have a 'classes' field
exception error
The _input_combiner layer must be specified if the…
exception error
The tf_data_service flag requires Tensorflow version >=…
exception error
must be at least 1, got .
exception error
Invalid DType provided. Supported types
exception error
Number of blocks in temporal specs should equal to…
exception error
pool_boxes must have a 'scores' field
exception error
User positives ( ) is different from item positives ( )
exception error
y_pred must be of type `TwoTowerTrainingOutputs` but got…
exception error
Layer inputs is missing features
exception error
share_classification_heads cannot be set as True when…
exception error
Unknown block type for layer
exception error
Bad conversion, model outputs do not match.
validation error
`image_mean` and `image_std` should be the same type.
exception error
Requested downsampling at a non-existing middle depthwise.
exception error
Unknown `output` value
exception error
Expected to find items, but found
exception error
len(means) must match the number of channels
exception error
norm_activation is not used in MoViNets, but specified
console error
Only 'all', 'backbone', 'decoder', 'segmentation_backbone'…
validation error
Requested downsampling at a non-existing starting depthwise.
exception error
selected_boxes must be a BoxList
exception error
Attribute head type not supported.
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`class_agnostic_bbox_pred` needs to be True if multiple…
exception error
Inside a program, we should not bind the config with a…
exception error
producer batch size ( ) differs from params batch size ( )
exception error
`include_panoptic_masks` should be set to True when…
validation error
is not supported it must be either 'dot' or 'cross' or…
exception error
The bind decorator is supposed to apply on the class…
exception error
Eval batch size is not divisible by
exception error
groundtruth_padded_size ([height, width]) needs to…
validation error
`num_steps` should be a `tf.Tensor`. Passing a Python value…
exception error
Only "no_norm" and "layer_norm" are supported.
exception error
Output level is out of range
exception error
The `slicing_feature` and slicing values in `slicing_spec`…
exception error
`summary_interval` ( ) must be larger than 0.
exception error
The `BUILDER` type is not supported
exception error
Invalid model received. Received
exception error
JSON files for shots (seed ) have different info, licences…
exception error
Invalid summary type provided
exception error
Requested downsampling at a non-existing starting depthwise…
exception error
Expected the input masks (..., height, width) has rank >=…
validation error
The MobileDet version
exception error
Value passed to `from_logits
exception error