WebOct 12, 2024 · but when the max batch size is 1, the batch dimension is not -1, is this a bug for tensorrt? It seems since optimization profile for max_batch =1 makes batch =1 for all opt options, hence it’s getting replaced with 1. But when you are trying max_batch > 1 it remains -1 to handle all possible batch dim dynamically.
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WebYou can specify the input shape of your model in several different ways. For example by providing one of the following arguments to the first layer of your model: batch_input_shape: A tuple where the first dimension is the batch size.; input_shape: A tuple that does not include the batch size, e.g., the batch size is assumed to be None or batch_size, if specified. WebConsider a batched input tensor of shape (N, C, ∗) (N, C, *) (N, C, ∗), where N N N is the batch dimension, ... padding controls the amount of implicit zero-paddings on both sides for …
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WebJul 12, 2024 · If you have a small training set, use batch gradient descent (m < 200) In practice: Batch mode: long iteration times. Mini-batch mode: faster learning. Stochastic mode: lose speed up from vectorization. The typically …
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