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tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
Res<TF_Float32Tensor, [{A 1D Tensor for the computed batch mean, to be used by TensorFlow to compute the running mean.}]>:$batch_mean, Res<TF_Float32Tensor, [{A 1D Tensor for the computed batch variance, to be used by TensorFlow to compute the running variance.}]>:$batch_variance, Res<TF_Float32Tensor, [{A 1D Tensor for the computed batch mean, to be reused in the gradient computation.}]>:$reserve_space_1,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
RELEASE.md
* <NOTES SHOULD BE GROUPED PER AREA> * `tf.data` * Add optional `synchronous` argument to `map`, to specify that the `map` should run synchronously, as opposed to be parallelizable when `options.experimental_optimization.map_parallelization=True`. This saves memory compared to setting `num_parallel_calls=1`. * `tf.lite` * `Dequantize` op supports `TensorType_INT4`. * This change includes per-channel dequantization.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)