generate_tensors: Generate test tensors

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Generate test tensors

Description

Functions generates a random test tensor that can be used for testing methods and functions based on 'PyTorch'. The tensors have the shape (Batch, Times,Features).

Usage

generate_tensors(times, features, seq_len, pad_value)

Arguments

times	int Maximal length of a sequence.
features	int Number of features of the sequence.
seq_len	Numeric vector containing the length of the given cases. The length of this vector determines the value for 'Batch'. Values must be at least 1 and maximal times.
pad_value	int Value used to indicate padding.

Value

Returns an object of class Tensor from 'PyTorch'.

Note

To request a R array please use generate_embeddings.

See Also

Other Utils TestThat Developers: check_adjust_n_samples_on_CI(), generate_args_for_tests(), generate_embeddings(), get_current_args_for_print(), get_fixed_test_tensor(), get_test_data_for_classifiers(), monitor_test_time_on_CI(), random_bool_on_CI()

aifeducation documentation built on Nov. 19, 2025, 5:08 p.m.