Class: TensorFlow::Data::BatchDataset
- Defined in:
- lib/tensorflow/data/batch_dataset.rb
Instance Attribute Summary
Attributes inherited from Dataset
Instance Method Summary collapse
-
#initialize(input_dataset, batch_size, drop_remainder) ⇒ BatchDataset
constructor
A new instance of BatchDataset.
Methods inherited from Dataset
#batch, #each, from_tensor_slices, #shuffle, #to_ptr
Constructor Details
#initialize(input_dataset, batch_size, drop_remainder) ⇒ BatchDataset
Returns a new instance of BatchDataset.
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# File 'lib/tensorflow/data/batch_dataset.rb', line 4 def initialize(input_dataset, batch_size, drop_remainder) @input_dataset = input_dataset # keep reference for memory @output_types = input_dataset.output_types @output_shapes = input_dataset.output_shapes.map { |s| [batch_size] + s } variant_tensor = RawOps.batch_dataset_v2( input_dataset: input_dataset, batch_size: TensorFlow.convert_to_tensor(batch_size, dtype: :int64), drop_remainder: drop_remainder, output_types: @output_types, output_shapes: @output_shapes ) super(variant_tensor) end |