Web5 Feb 2024 · Why don't you try the following code for the 2nd example: import numpy as np from keras import backend as K import tensorflow as tf arr = tf.constant(np.random.rand(19, 19, 5, 80)) with tf.Session() as sess: arr = sess.run(arr) np_argmax = np.argmax(arr, axis=-1) np_max = np.max(arr, axis=-1) k_argmax = K.argmax(arr, axis=-1) k_max = K.max(arr, … Webk: Integer, k for @k metric. This will calculate an average precision for range [1,k], as documented above. weights: Tensor whose rank is either 0, or n-1, where n is the rank of …

Release 2.5.0 - Google Open Source

Web23 Aug 2024 · tf.math: Added tf.math.approx_max_k and tf.math.approx_min_k which are the optimized alternatives to tf.math.top_k on TPU. The performance difference range from 8 to 100 times … WebReturns max k values and their indices of the input operand in an approximate manner. cetek in chinese

Emotion recognition in Hindi text using multilingual BERT

WebAdded tf.math.approx_max_k and tf.math.approx_min_k which are the optimized alternatives to tf.math.top_k on TPU. The performance difference range from 8 to 100 times depending on the size of k. When running on CPU and GPU, a … Web"A new work-hardening model for homogeneous and heterogeneous cell-forming alloys is introduced. It distinguishes three internal state variables in terms of three categories of dislocations: mobile dislocations, immobile dislocations in the cell interiors and immobile dislocations in the cell walls. Webdef yolo_filter_boxes(box_confidence, boxes, box_class_probs, threshold = .6): # Compute box scores box_scores = box_confidence * box_class_probs # Find the box_classes thanks to the max box_scores, keep track of the corresponding score box_classes = K.argmax(box_scores, axis=-1) box_class_scores = K.max(box_scores, axis=-1, … cetelem bank oney