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Results 1 - 10 of 46 for abs8 (0.05 sec)
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tensorflow/compiler/jit/mark_for_compilation_pass.cc
<< absl::StrJoin(vexcludelist, " "); } return excludelist; } absl::flat_hash_set<string> GetOrCreateAllowlist() { absl::flat_hash_map<string, std::vector<string>>* allowlist_table = tensorflow::GetAllowlistTable(); MarkForCompilationPassFlags* flags = GetMarkForCompilationPassFlags(); absl::flat_hash_set<string> allowlist;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/jit/BUILD
"@com_google_absl//absl/algorithm:container", "@com_google_absl//absl/base", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/container:inlined_vector", "@com_google_absl//absl/memory", "@com_google_absl//absl/strings", "@com_google_absl//absl/types:optional",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 00:41:19 UTC 2024 - 61.5K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_subgraphs_pass.cc
#include <functional> #include <memory> #include <numeric> #include <string> #include <vector> #include "absl/container/flat_hash_map.h" #include "absl/container/flat_hash_set.h" #include "absl/strings/match.h" #include "absl/strings/str_cat.h" #include "absl/types/optional.h" #include "tensorflow/compiler/jit/flags.h" #include "tensorflow/compiler/jit/mark_for_compilation_pass.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 51K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/BUILD
"@com_google_absl//absl/algorithm:container", "@com_google_absl//absl/base:core_headers", "@com_google_absl//absl/container:flat_hash_map", "@com_google_absl//absl/container:flat_hash_set", "@com_google_absl//absl/status", "@com_google_absl//absl/strings", "@com_google_absl//absl/strings:cord", "@com_google_absl//absl/strings:str_format",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 49.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize_composite_functions.cc
#include <memory> #include <optional> #include <string> #include <utility> #include <vector> #include "absl/algorithm/container.h" #include "absl/strings/str_format.h" #include "absl/strings/str_join.h" #include "absl/strings/string_view.h" #include "llvm/ADT/Sequence.h" #include "llvm/ADT/StringMap.h" #include "llvm/ADT/StringRef.h" #include "llvm/ADT/Twine.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 54.5K bytes - Viewed (0) -
src/time/time.go
// +3 +2 +1 0 -1 -2 -3 // the offset to Thursday abs := t.abs() d := Thursday - absWeekday(abs) // handle Sunday if d == 4 { d = -3 } // find the Thursday of the calendar week abs += uint64(d) * secondsPerDay year, _, _, yday := absDate(abs, false) return year, yday/7 + 1 }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed May 29 17:58:53 UTC 2024 - 50.7K bytes - Viewed (0) -
tensorflow/compiler/jit/deadness_analysis_test.cc
for (int i : {0, 1}) { Output init_enter = ops::internal::Enter( root.WithOpName(absl::StrCat("init_enter_frame_", i)), init, absl::StrCat("frame_", i), ops::internal::Enter::Attrs().IsConstant(true)); Output step_enter = ops::internal::Enter( root.WithOpName(absl::StrCat("step_enter_frame_", i)), step, absl::StrCat("frame_", i), ops::internal::Enter::Attrs().IsConstant(true));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 06:59:07 UTC 2024 - 51.6K bytes - Viewed (0) -
src/math/big/int_test.go
"fmt" "internal/testenv" "math" "math/rand" "strconv" "strings" "testing" "testing/quick" ) func isNormalized(x *Int) bool { if len(x.abs) == 0 { return !x.neg } // len(x.abs) > 0 return x.abs[len(x.abs)-1] != 0 } type funZZ func(z, x, y *Int) *Int type argZZ struct { z, x, y *Int } var sumZZ = []argZZ{ {NewInt(0), NewInt(0), NewInt(0)},
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 18:42:28 UTC 2024 - 58.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
// // We don't have a frac(x) primitive in XLA and computing it is tricky, but // because abs(sin(pi * x)) = abs(sin(pi * abs(x))), it's good enough for // our purposes to use abs(frac(x)) = abs(x) - floor(abs(x)). // // Furthermore, pi * abs(frac(x)) loses precision when abs(frac(x)) is close // to 1. To remedy this, we can use the fact that sin(pi * x) in the domain
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/quantization/lite/quantize_model_test.cc
const bool allow_float, const std::unordered_set<string>& operator_names, const TensorType& activations_type, std::string& output_buffer, const bool disable_per_channel = false, const absl::flat_hash_set<std::string>& blocked_ops = {}, const absl::flat_hash_set<std::string>& blocked_nodes = {}, const bool disable_per_channel_for_dense_layers = false) { TensorType inference_tensor_type = activations_type;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 23:15:24 UTC 2024 - 73.9K bytes - Viewed (0)