tf.compat.v1.train.slice_input_producer | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.train.slice_input_producer
Produces a slice of each Tensor in tensor_list. (deprecated)
tf.compat.v1.train.slice_input_producer(
tensor_list,
num_epochs=None,
shuffle=True,
seed=None,
capacity=32,
shared_name=None,
name=None
)
Implemented using a Queue -- a QueueRunner for the Queue is added to the current Graph's QUEUE_RUNNER collection.
| Args | |
|---|---|
| tensor_list | A list of Tensor objects. Every Tensor intensor_list must have the same size in the first dimension. |
| num_epochs | An integer (optional). If specified, slice_input_producerproduces each slice num_epochs times before generating an OutOfRange error. If not specified, slice_input_producer can cycle through the slices an unlimited number of times. |
| shuffle | Boolean. If true, the integers are randomly shuffled within each epoch. |
| seed | An integer (optional). Seed used if shuffle == True. |
| capacity | An integer. Sets the queue capacity. |
| shared_name | (optional). If set, this queue will be shared under the given name across multiple sessions. |
| name | A name for the operations (optional). |
| Returns |
|---|
| A list of tensors, one for each element of tensor_list. If the tensor in tensor_list has shape [N, a, b, .., z], then the corresponding output tensor will have shape [a, b, ..., z]. |
| Raises | |
|---|---|
| ValueError | if slice_input_producer produces nothing from tensor_list. |
eager compatibility
Input pipelines based on Queues are not supported when eager execution is enabled. Please use the tf.data API to ingest data under eager execution.
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Last updated 2024-04-26 UTC.