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Results 41 - 50 of 312 for hilite (0.09 sec)
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src/math/pow_s390x.s
yIsNan: // Pow(NaN, y) = NaN ltZeroInt: // Pow(x, y) = NaN for finite x < 0 and finite non-integer y MOVD $NaN, R2 MOVD R2, ret+16(FP) RET negOnePosInf: // Pow(-1, ±Inf) = 1 negOneNegInf: MOVD $PosOne, R3 MOVD R3, ret+16(FP) RET negZeroOddInt: MOVD $NegInf, R3 MOVD R3, ret+16(FP) RET zeroNotOdd: // Pow(±0, y) = +Inf for finite y < 0 and not an odd integer
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Wed Jun 14 00:03:57 UTC 2023 - 16.3K bytes - Viewed (0) -
android/guava/src/com/google/common/math/StatsAccumulator.java
* * Consequently: * 1. If the previous mean is finite and the new value is non-finite then the new mean is that * value (whether it is NaN or infinity). * 2. If the new value is finite and the previous mean is non-finite then the mean is unchanged * (whether it is NaN or infinity). * 3. If both the previous mean and the new value are non-finite and...
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 14.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/mlir_tflite_runner.cc
return 1; // Create TFLite interpreter & invoke converted program. std::unique_ptr<tflite::FlatBufferModel> model = tflite::FlatBufferModel::BuildFromBuffer(serialized_flatbuffer.c_str(), serialized_flatbuffer.size()); tflite::ops::builtin::BuiltinOpResolver builtins; std::unique_ptr<tflite::Interpreter> interpreter;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 03 00:14:05 UTC 2023 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/importer_test_min_max.cc
#include "llvm/Support/raw_ostream.h" #include "tensorflow/compiler/mlir/lite/schema/schema_generated.h" #include "tensorflow/compiler/mlir/lite/schema/schema_utils.h" #include "tensorflow/lite/model.h" using llvm::cl::opt; // RUN: flatbuffer_translate -mlir-to-tflite-flatbuffer %s.mlir -o - \ // RUN: | %p/importer_test_min_max - \ // RUN: | flatbuffer_translate --tflite-flatbuffer-to-mlir - -o - \ // RUN: | FileCheck %s
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 6.8K bytes - Viewed (0) -
guava/src/com/google/common/math/StatsAccumulator.java
* * Consequently: * 1. If the previous mean is finite and the new value is non-finite then the new mean is that * value (whether it is NaN or infinity). * 2. If the new value is finite and the previous mean is non-finite then the mean is unchanged * (whether it is NaN or infinity). * 3. If both the previous mean and the new value are non-finite and...
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Fri May 12 17:02:53 UTC 2023 - 15.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/sparsity/sparsify_model.cc
#include "tensorflow/compiler/mlir/lite/common/tfl_pass_config.h" #include "tensorflow/compiler/mlir/lite/flatbuffer_export.h" #include "tensorflow/compiler/mlir/lite/flatbuffer_import.h" #include "tensorflow/compiler/mlir/lite/schema/schema_generated.h" #include "tensorflow/compiler/mlir/lite/transforms/passes.h" #include "tensorflow/compiler/mlir/lite/utils/convert_type.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Jun 10 20:16:40 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/converter_gen.cc
} } } os << " tflite::" << tflite_option_name << "Builder b(*fbb);\n"; for (const auto &option : options) os << formatv(" b.add_{0}(std::move({0}));\n", option); os << " return b.Finish();\n}\n"; } } // For each TFLite op, emits a builder function that packs the TFLite op into // the corresponding FlatBuffer object. //
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Dec 19 15:05:28 UTC 2023 - 23.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/analyze_variables.cc
#include "mlir/Support/LLVM.h" // from @llvm-project #include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h" #include "tensorflow/compiler/mlir/lite/transforms/passes.h" #include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h" namespace mlir { namespace TFL { namespace { #define GEN_PASS_DEF_ANALYZEVARIABLESPASS #include "tensorflow/compiler/mlir/lite/transforms/passes.h.inc" // Attribute name to be added on the module to identify whether
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_import.cc
#include "tensorflow/compiler/mlir/lite/flatbuffer_operator.h" #include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h" #include "tensorflow/compiler/mlir/lite/offset_buffer.h" #include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h" #include "tensorflow/compiler/mlir/lite/schema/mutable/schema_generated.h" #include "tensorflow/compiler/mlir/lite/schema/schema_utils.h"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 66.8K bytes - Viewed (0) -
android/guava-tests/test/com/google/common/math/StatsAccumulatorTest.java
.isWithin(ALLOWED_ERROR) .of(MANY_VALUES_MEAN); // For datasets of many double values created from an iterable, we test many combinations of // finite and non-finite values: for (ManyValues values : ALL_MANY_VALUES) { StatsAccumulator accumulator = new StatsAccumulator(); StatsAccumulator accumulatorByAddAllStats = new StatsAccumulator();
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Wed Sep 06 17:04:31 UTC 2023 - 34K bytes - Viewed (0)