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This function uses the MXNet library to generate a random matrix with specified number of rows and columns. Parameters include the number of rows, columns, data type, and execution context. The default data type is float32, and the execution context is CPU.
Technology Stack : MXNet library, NDArray for creating random matrix, data type conversion, and execution context handling
Code Type : The type of code
Code Difficulty :
def mxnet_random_matrix(n_rows, n_cols, dtype='float32', ctx=None):
"""
Generate a random matrix using MXNet's NDArray.
"""
import mxnet as mx
if ctx is None:
ctx = mx.cpu()
random_matrix = mx.nd.random.normal(0, 1, shape=(n_rows, n_cols), ctx=ctx)
if dtype == 'float32':
random_matrix = random_matrix.astype(dtype)
return random_matrix