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tensorflow/c/eager/tape.h
} // We may need to allocate zero inputs for trainable dtypes we don't have JVPs // for. Make sure they get cleaned up. std::vector<Gradient*> new_zeros; auto delete_new_zeros = gtl::MakeCleanup([&new_zeros, this] { for (Gradient* tensor : new_zeros) { this->vspace_.DeleteGradient(tensor); } }); std::vector<Gradient*> in_grads; in_grads.reserve(input_tensors.size());
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Apr 02 12:40:29 GMT 2024 - 47.2K bytes - Viewed (1) -
tensorflow/c/eager/gradients.h
// allow us to trace the data dependencies between operations and hence compute // gradients. // // `ZerosLike` is not expected to be called and returns a nullptr. The creation // of default zeros grads is handled by the `DefaultGradientFunction` registered // for each op. // TODO(srbs): We need to define `ZerosLike` here to keep the compiler happy. // Figure out a way to avoid this.
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Mon Sep 26 10:27:05 GMT 2022 - 6.9K bytes - Viewed (0)