- Sort Score
- Result 10 results
- Languages All
Results 1 - 1 of 1 for BM_BatchFunctionFallbackWithLargeAttributesAndManyInputsOutputs (0.38 sec)
-
tensorflow/compiler/mlir/tfrt/tests/tfrt_fallback/batch_function_fallback_benchmark_test.cc
// the runtime overhead. The BEF function signature is adapted from a real model // and is useful for benchmarking ops with large attributes and many // input/output. void BM_BatchFunctionFallbackWithLargeAttributesAndManyInputsOutputs( benchmark::State& state) { auto corert = CreateTestCoreRuntime(); auto* host = corert->GetHostContext(); auto [bef_buffer, bef_file] = CreateBefFile(host);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Dec 08 08:08:48 UTC 2023 - 6.3K bytes - Viewed (0)