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Results 1 - 10 of 10 for constexpr (0.29 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/passes/quantize_composite_functions.cc
using ::tensorflow::quantization::OpSet; constexpr absl::string_view kQuantizeCompositeFunctionsStepName = "_quantize_composite_functions"; constexpr StringRef kQuantizeFuncName = "quantize_i8"; constexpr StringRef kDequantizeFuncName = "dequantize_i8"; constexpr StringRef kAttrMapAttribute = "attr_map"; constexpr StringRef kQuantizedOpsAttribute = "tf_quant.quantized_ops"; constexpr StringRef kCompositeFuncPrefix = "composite_";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 54.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/embedding_pipelining.cc
static constexpr char kEmbeddingPipelining[] = "_embedding_pipelining"; static constexpr char kEmbeddingPipeliningInlineAttr[] = "_embedding_pipelining_inline"; static constexpr char kEmbeddingForward[] = "forward"; static constexpr char kEmbeddingBackward[] = "backward"; static constexpr char kDevice[] = "device"; static constexpr char kLower[] = "_lower_using_switch_merge";
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 92.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/extract_outside_compilation.cc
using mlir::Value; using mlir::ValueRange; using mlir::WalkResult; using mlir::func::FuncOp; using mlir::func::ReturnOp; constexpr char kDeviceAttr[] = "device"; constexpr char kHostFunctionAttr[] = "host_func"; constexpr char kXlaMapOutsideCompilationAttr[] = "_xla_map_outside_compilation"; constexpr char kXlaOutsideCompilationAttr[] = "_xla_outside_compilation"; #define GEN_PASS_DEF_EXTRACTOUTSIDECOMPILATIONPASS
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 21:25:12 UTC 2024 - 68.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
// log function. In particular, [5, 7] is the only choice where -1.5e-5 <= // lgamma(2) <= 1.5e-5 for a particularly inaccurate log function. static constexpr double kLanczosGamma = 7; // aka g static constexpr double kBaseLanczosCoeff = 0.99999999999980993227684700473478; static constexpr std::array<double, 8> kLanczosCoefficients = { 676.520368121885098567009190444019, -1259.13921672240287047156078755283,
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/stablehlo/transforms/compose_uniform_quantized_type_pass.cc
#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/passes.h.inc" // These strings are used to identify the uniform_quantize / uniform_dequantize // functions. constexpr StringRef kUniformQuantizeFunctionNameSubstring = "uniform_quantize"; constexpr StringRef kUniformDequantizeFunctionNameSubstring = "uniform_dequantize"; class ComposeUniformQuantizedTypePass : public impl::ComposeUniformQuantizedTypePassBase<
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 64.6K bytes - Viewed (0) -
tensorflow/cc/gradients/math_grad.cc
grad_outputs->push_back(sum.out); grad_outputs->push_back(NoGradient()); return scope.status(); } REGISTER_GRADIENT_OP("Cumsum", CumsumGrad); bool IsFloatingPointDtype(DataType dtype) { static constexpr DataType valid_dtypes[] = { DT_FLOAT, DT_HALF, DT_DOUBLE, DT_BFLOAT16, DT_COMPLEX64, DT_COMPLEX128}; return std::find(std::begin(valid_dtypes), std::end(valid_dtypes), dtype) != std::end(valid_dtypes); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Aug 25 18:20:20 UTC 2023 - 50.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/resource_op_lifting.cc
#include "tensorflow/compiler/mlir/tensorflow/utils/mangling_util.h" #include "tensorflow/core/framework/tensor_shape.pb.h" namespace mlir { namespace { constexpr char kDeviceAttr[] = "device"; #define GEN_PASS_DEF_RESOURCEOPLIFTINGPASS #include "tensorflow/compiler/mlir/tensorflow/transforms/tf_device_passes.h.inc" // Lift resource operations out of device computation.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 55.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_import.cc
using mlir::Value; using mlir::func::FuncOp; using tflite::OperatorT; using tflite::TensorT; namespace errors = tensorflow::errors; namespace tfl = mlir::TFL; namespace { constexpr char kScatterRegionFuncName[] = "update_computation_func_name"; using ::mlir::tf_saved_model::kTfSavedModelExportedNamesAttr; using ::mlir::tf_saved_model::kTfSavedModelIndexPathAttr; using ::tflite::IsValidBufferOffset;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 18:21:50 UTC 2024 - 66.8K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/es/config/cbean/cq/bs/BsBoostDocumentRuleCQ.java
TermQueryBuilder builder = regTermQ("boostExpr", boostExpr); if (opLambda != null) { opLambda.callback(builder); } } public void setBoostExpr_NotEqual(String boostExpr) { setBoostExpr_NotTerm(boostExpr, null); } public void setBoostExpr_NotTerm(String boostExpr) { setBoostExpr_NotTerm(boostExpr, null);
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Thu Feb 22 01:37:57 UTC 2024 - 56.7K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/es/config/cbean/ca/bs/BsBoostDocumentRuleCA.java
public void setBoostExpr_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda) { setBoostExpr_Terms("boostExpr", opLambda, null); } public void setBoostExpr_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda, OperatorCall<BsBoostDocumentRuleCA> aggsLambda) { setBoostExpr_Terms("boostExpr", opLambda, aggsLambda); }
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Thu Feb 22 01:37:57 UTC 2024 - 50.6K bytes - Viewed (0)