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Results 1 - 3 of 3 for CreateTPUDynamicLayoutPass (0.35 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/tpu_dynamic_layout_pass.cc
} HandleCompileAndExecutes(compile_launch, execute_launches, resource_alias_analysis); }); } } // namespace std::unique_ptr<OperationPass<ModuleOp>> CreateTPUDynamicLayoutPass() { return std::make_unique<TPUDynamicLayoutPass>(); } } // namespace TFTPU
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 12.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/passes.h
std::unique_ptr<OperationPass<ModuleOp>> CreateTPUIdentityPruningPass(); // Creates a pass that allows TPU program inputs to have layouts determined at // run time. std::unique_ptr<OperationPass<ModuleOp>> CreateTPUDynamicLayoutPass(); // Creates a pass that adds `tf.ReadVariableOp` to a TPU cluster for resources // the cluster only writes to. std::unique_ptr<OperationPass<ModuleOp>> CreateTPUResourceReadForWritePass();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 31.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
} def TPUDynamicLayoutPass : Pass<"tf-tpu-dynamic-layout-pass", "ModuleOp"> { let summary = "Inserts TPU layout ops to determine layout at run time."; let constructor = "TFTPU::CreateTPUDynamicLayoutPass()"; let description = [{ A pass that allows TPU input layout to be determined after JIT compilation. This is done by adding run-time ops that interpret compilation result and
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0)