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tensorflow/c/c_api_internal.h
namespace tensorflow { // Set the shapes and types of the output's handle. // // The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must // all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the // rank is known), then it must be equal to the length of `shapes[i]`; if // `ranks[i] == 1`, then `shapes[i]` may be nullptr. // // TODO(akshayka): Implement a corresponding getter method.
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docs/en/docs/async.md
But still, the final experience is not the best. π --- This would be the parallel equivalent story for burgers. π For a more "real life" example of this, imagine a bank. Up to recently, most of the banks had multiple cashiers π¨βπΌπ¨βπΌπ¨βπΌπ¨βπΌ and a big line ππππππππ. All of the cashiers doing all the work with one client after the other π¨βπΌβ―.
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tensorflow/c/c_api.cc
int num_shapes_and_types, const int64_t** shapes, const int* ranks, const TF_DataType* types, TF_Status* status) { Node* node = &output.oper->node; mutex_lock l(graph->mu);
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RELEASE.md
* `Layer` apply and add_variable APIs are deprecated. * Added support for channels first data format in cross entropy losses with logits and support for tensors with unknown ranks. * Error messages will be raised if `add_update`, `add_metric`, `add_loss`, activity regularizers are used inside of a control flow branch. * New loss reduction types:
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