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Results 221 - 230 of 441 for computations (0.36 sec)
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android/guava/src/com/google/common/util/concurrent/FluentFuture.java
* computation is {@linkplain java.util.concurrent.Future#isDone() complete} or, if the * computation is already complete, immediately. * * <p>The callback is run on {@code executor}. There is no guaranteed ordering of execution of * callbacks, but any callback added through this method is guaranteed to be called once the * computation is complete. * * <p>Example: *
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Tue Apr 11 19:08:44 UTC 2023 - 18.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/duplicate_shape_determining_constants.cc
#define DEBUG_TYPE "quant-duplicate-shape-determining-constants" namespace mlir { namespace quant { namespace { // This pass duplicates constants that affect or determine the shape of a tensor // after being used in a computation for some op. Some specific operands of TF // ops (like the `dim` argument for `TF::ExpandDimsOp`) determine the shape of // the resulting tensor. If these operands are constants, they are duplicated
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 22 05:52:39 UTC 2024 - 17.5K bytes - Viewed (0) -
android/guava/src/com/google/common/hash/HashFunction.java
* * @author Kevin Bourrillion * @since 11.0 */ @Immutable @ElementTypesAreNonnullByDefault public interface HashFunction { /** * Begins a new hash code computation by returning an initialized, stateful {@code Hasher} * instance that is ready to receive data. Example: * * <pre>{@code * HashFunction hf = Hashing.md5(); * HashCode hc = hf.newHasher()
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Tue May 25 18:22:59 UTC 2021 - 10.9K bytes - Viewed (0) -
guava/src/com/google/common/hash/HashFunction.java
* * @author Kevin Bourrillion * @since 11.0 */ @Immutable @ElementTypesAreNonnullByDefault public interface HashFunction { /** * Begins a new hash code computation by returning an initialized, stateful {@code Hasher} * instance that is ready to receive data. Example: * * <pre>{@code * HashFunction hf = Hashing.md5(); * HashCode hc = hf.newHasher()
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Tue May 25 18:22:59 UTC 2021 - 10.9K bytes - Viewed (0) -
src/vendor/golang.org/x/net/idna/punycode.go
package idna // This file implements the Punycode algorithm from RFC 3492. import ( "math" "strings" "unicode/utf8" ) // These parameter values are specified in section 5. // // All computation is done with int32s, so that overflow behavior is identical // regardless of whether int is 32-bit or 64-bit. const ( base int32 = 36 damp int32 = 700 initialBias int32 = 72 initialN int32 = 128
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Nov 09 20:10:36 UTC 2021 - 4.6K bytes - Viewed (0) -
tensorflow/c/kernels/histogram_summary_op.cc
using Safe_TF_TensorPtr = std::unique_ptr<TF_Tensor, TFTensorDeleter>; using Safe_TF_StatusPtr = std::unique_ptr<TF_Status, TFStatusDeleter>; // Used to pass the operation node name from kernel construction to // kernel computation. struct HistogramSummaryOp { std::string op_node_name; }; void* HistogramSummaryOp_Create(TF_OpKernelConstruction* ctx) { HistogramSummaryOp* kernel = new HistogramSummaryOp;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Sep 06 19:12:29 UTC 2023 - 6.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/verify_tfxla_legalization.cc
"means that a shape or dimension argument could not be evaluated at " "compile time, usually because the value of the argument depends on a " "parameter to the computation, on a variable, or on a stateful operation " "such as a random number generator."; // TODO(b/282188914) remove the operations to skip once tests are fixed. static const DenseSet<mlir::TypeID>* operations_to_skip =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo_conversions/reduce.h
// as the reduction. Value iota = reduce_op.getInputs().back(); if (!MatchIota(reduce_op.getDimensions(), iota)) return failure(); // Match the reduction computation. const bool is_float = mlir::isa<FloatType>(operand_init.getElementType()); if (failed(MatchReduceToArgMinMaxType1(reduce_op, is_float, is_argmax)) && failed(MatchReduceToArgMinMaxType2(reduce_op, is_argmax)))
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/xla_sharding_util.h
void EncodeSharding(mlir::Operation* op, llvm::StringRef shard_str); // Parses "input_sharding_configuration" attribute and returns a list where i-th // element is a list of mlir::Value's which represent inputs for the TPU // computation corresponding to i-th logical device. If the attribute does not // exist, the all inputs are placed on logical core 0. mlir::LogicalResult ExtractInputsForLogicalDevices(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Mar 28 22:18:34 UTC 2024 - 6K bytes - Viewed (0) -
guava/src/com/google/common/util/concurrent/FluentFuture.java
* computation is {@linkplain java.util.concurrent.Future#isDone() complete} or, if the * computation is already complete, immediately. * * <p>The callback is run on {@code executor}. There is no guaranteed ordering of execution of * callbacks, but any callback added through this method is guaranteed to be called once the * computation is complete. * * <p>Example: *
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Tue Apr 11 19:08:44 UTC 2023 - 19.6K bytes - Viewed (0)