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RELEASE.md
passed to the optimizer but the reported loss will be a scalar value. * `SUM`: Scalar sum of weighted losses. 4. `SUM_OVER_BATCH_SIZE`: Scalar `SUM` divided by number of elements in losses. This reduction type is not supported when used with `tf.distribute.Strategy` outside of built-in training loops like `tf.keras` `compile`/`fit`.
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
std::vector<TFE_TensorHandle*> device_inputs; device_inputs.reserve(inputs.size()); for (int input_index = 0; input_index < inputs.size(); ++input_index) { // Parallel tensors are divided between operations by device. device_inputs.push_back(inputs[input_index]->tensor(device_index)); } device_thread->StartExecute( context, operation_name, std::move(device_inputs), attributes,
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