<jupyter_start><jupyter_text>Note that the keyword arguments are diff.- `np.transpose(ndarray, axes=[])`- `tf.transpose(tensor, perm=[])`<jupyter_code>W = tf.Variable(tf.zeros((2,3,4)), dtype=tf.float32)
W
W_perm = tf.transpose(W, perm=[2,0,1])
W_perm<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.19572953736654805, 'fraction_numerical': 0.028469750889679714, 'mean_word_length': 8.724137931034482, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '449313', 'license': 'MIT', 'n_tokens_mistral': 122, 'n_tokens_neox': 119, 'n_words': 18, 'path': 'tf/man/transpose/transpose.ipynb', 'repo_name': 'phunc20/ML-frameworks', 'size': '281'}