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tensorflow/c/eager/immediate_execution_context.h
DataType dtype, const int64_t* dims, int num_dims, void* data, size_t len, MemoryReleaser memory_releaser, void* memory_releaser_arg) = 0; // Create a handle to wrap and manage a Tensor virtual ImmediateExecutionTensorHandle* CreateLocalHandle( AbstractTensorInterface* t) = 0; // Copy the handle to another device. virtual ImmediateExecutionTensorHandle* CopyTensorHandleToDevice(
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Thu Jul 06 08:34:00 GMT 2023 - 12.3K bytes - Viewed (0) -
tensorflow/c/eager/gradients.h
absl::Span<AbstractTensorHandle*> grad_inputs) = 0; virtual ~GradientFunction() {} }; // Metadata from the forward operation that is made available to the // gradient registerer to instantiate a GradientFunction. struct ForwardOperation { public: string op_name; std::vector<AbstractTensorHandle*> inputs; std::vector<AbstractTensorHandle*> outputs;
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) -
RELEASE.md
shapes with `None` entries for axes that are meant to be dynamic). You can also disable the input checking entirely by setting `model.input_spec = None`. * Several changes have been made to `tf.keras.mixed_precision.experimental`. Note that it is now recommended to use the non-experimental `tf.keras.mixed_precision` API.
Plain Text - Registered: Tue May 07 12:40:20 GMT 2024 - Last Modified: Mon Apr 29 19:17:57 GMT 2024 - 727.7K bytes - Viewed (8)