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tensorflow/compiler/mlir/lite/experimental/remat/rematerializer.h
// blocks. std::tuple<SizeT, RematSpec> FindBestRemat(SizeT min_savings, int begin_len, int end_len) const; // Optimization: Estimate (from above) the remat savings of instruction block // [begin, end) after operation `peak_location` SizeT MaxSavings(int begin, int end, int peak_loc) const;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 14 20:57:44 UTC 2023 - 12K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/remat/rematerializer.cc
} std::tuple<Rematerializer::SizeT, Rematerializer::RematSpec> Rematerializer::FindBestRemat(const SizeT min_savings, const int begin_len, const int end_len) const { const auto peak = GetPeakMemory(); SizeT best_peak_mem = peak.size; RematSpec best_remat = {}; for (int len = begin_len; len < end_len; ++len) { std::vector<std::tuple<SizeT, int, int>> pre_screen;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 14 20:57:44 UTC 2023 - 13.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/experimental/remat/rematerializer_test.cc
std::uniform_int_distribution<int> some_tensor(0, num_tensors - 1); std::uniform_int_distribution<int> some_operation(0, num_operations - 1); for (int i = 0; i < num_tensors; ++i) { AddTensor(SizeT{1} << some_size_log(rng)); } for (int i = 0; i < num_operations; ++i) { AddOperation(/*is_stateful=*/false); } for (int i = 0; i < num_uses; ++i) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 14 20:57:44 UTC 2023 - 19.1K bytes - Viewed (0) -
okhttp-idna-mapping-table/src/main/resources/okhttp3/internal/idna/IdnaMappingTable.txt
1380..138F ; valid # 4.1 ETHIOPIC SYLLABLE SEBATBEIT MWA..ETHIOPIC SYLLABLE PWE 1390..1399 ; valid ; ; NV8 # 4.1 ETHIOPIC TONAL MARK YIZET..ETHIOPIC TONAL MARK KURT 139A..139F ; disallowed # NA <reserved-139A>..<reserved-139F> 13A0..13F4 ; valid # 3.0 CHEROKEE LETTER A..CHEROKEE LETTER YV
Registered: Sun Jun 16 04:42:17 UTC 2024 - Last Modified: Sat Feb 10 11:25:47 UTC 2024 - 854.1K bytes - Viewed (0)