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RELEASE.md
`tf.data.experimental.enable_debug_mode()`. * `tf.lite` * Enabled the new MLIR-based quantization backend by default * The new backend is used for 8 bits full integer post-training quantization * The new backend removes the redundant rescales and fixes some bugs (shared weight/bias, extremely small scales, etc)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
Note that in case of ties the identity of the return value is not guaranteed. Usage: ```python import tensorflow as tf a = [1, 10, 26.9, 2.8, 166.32, 62.3] b = tf.math.argmax(input = a) c = tf.keras.backend.eval(b) # c = 4 # here a[4] = 166.32 which is the largest element of a across axis 0 ``` }]; let arguments = (ins
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)