code: def get_dtype_name(x) -> str:
      """An interface independent way of getting the name of the datatype.
  
      >>> x = tf.Variable(0.1)
      >>> qml.math.get_dtype_name(tf.Variable(0.1))
      'float32'
      """
      return ar.get_dtype_name(x)
  
file_path: pennylane/pennylane/math/__init__.py
imports: import autoray
  from .is_independent import is_independent
  from .matrix_manipulation import expand_matrix, reduce_matrices, get_batch_size
  from .multi_dispatch import add, array, block_diag, concatenate, detach, diag, dot, einsum, expm, eye, frobenius_inner_product, gammainc, get_trainable_indices, iscomplex, jax_argnums_to_tape_trainable, kron, matmul, multi_dispatch, norm, ones_like, scatter, scatter_element_add, set_index, stack, tensordot, unwrap, where
  from .quantum import cov_matrix, dm_from_state_vector, marginal_prob, mutual_info, purity, reduce_dm, reduce_statevector, relative_entropy, sqrt_matrix, vn_entropy, max_entropy, trace_distance
  from .fidelity import fidelity, fidelity_statevector
  from .utils import allclose, allequal, cast, cast_like, convert_like, get_deep_interface, get_interface, in_backprop, is_abstract, requires_grad
label_desc: Use image node_id 1 for calling a global function with example usage: get_dtype_name(x) and returns: ar