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Results 101 - 110 of 412 for Computation (0.26 sec)

  1. tensorflow/c/eager/parallel_device/parallel_device_lib.h

      // A non-blocking version of `Execute`. After each call, `Join` must be called
      // before `StartExecute` is called again. Using `StartExecute` with `Join`
      // allows the caller to schedule computation on multiple ParallelDevices
      // without sequencing those operations (first call `StartExecute` on each
      // parallel device, then call `Join` on each; even if some of the `Join`s
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue Apr 25 15:21:13 UTC 2023
    - 12.9K bytes
    - Viewed (0)
  2. platforms/enterprise/enterprise-operations/src/main/java/org/gradle/operations/dependencies/transforms/SnapshotTransformInputsBuildOperationType.java

    import org.gradle.operations.execution.FilePropertyVisitor;
    
    import javax.annotation.Nullable;
    import java.util.List;
    import java.util.Map;
    
    /**
     * Represents the computation of capturing the before execution state and resolving the caching state for transforms.
     * <p>
     * Must occur as a child of {@link org.gradle.operations.execution.ExecuteWorkBuildOperationType}.
     *
     * @since 8.3
     */
    Registered: Wed Jun 12 18:38:38 UTC 2024
    - Last Modified: Mon Jul 10 08:07:59 UTC 2023
    - 3.2K bytes
    - Viewed (0)
  3. guava/src/com/google/common/math/Quantiles.java

    public final class Quantiles {
    
      /** Specifies the computation of a median (i.e. the 1st 2-quantile). */
      public static ScaleAndIndex median() {
        return scale(2).index(1);
      }
    
      /** Specifies the computation of quartiles (i.e. 4-quantiles). */
      public static Scale quartiles() {
        return scale(4);
      }
    
      /** Specifies the computation of percentiles (i.e. 100-quantiles). */
    Registered: Wed Jun 12 16:38:11 UTC 2024
    - Last Modified: Fri May 12 17:02:53 UTC 2023
    - 29.9K bytes
    - Viewed (0)
  4. tensorflow/compiler/mlir/tf2xla/api/v1/compile_mlir_util.cc

        // TODO(ycao): Support tensorlist-type output.
        out_desc.is_tensor_list = false;
      }
    
      // XLA computation always uses Tuple shape.
      *xla_output_shape = xla::ShapeUtil::MakeTupleShape(shapes);
      return absl::OkStatus();
    }
    
    // Creates a vector that maps from the parameters of the XLA computation to
    // their original argument positions.
    // MLIR-based TF-Compiler bridge doesn't have constant analysis yet, thus no
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Tue May 21 17:24:39 UTC 2024
    - 45.3K bytes
    - Viewed (0)
  5. tensorflow/compiler/jit/pjrt_device_compiler_client.cc

        const XlaCompiler::CompilationResult& result) {
      VLOG(2) << "Compiling to xla::PjRtLoadedExecutable.";
    
      TF_ASSIGN_OR_RETURN(auto executable,
                          client_->Compile(*result.computation,
                                           GetPjRtCompileOptions(options, result)));
    
      VLOG(2) << "Compiled PJRT executable " << executable->name()
              << " num_replicas " << executable->num_replicas()
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Feb 21 12:19:41 UTC 2024
    - 3.6K bytes
    - Viewed (0)
  6. src/crypto/sha256/sha256block.go

    func blockGeneric(dig *digest, p []byte) {
    	var w [64]uint32
    	h0, h1, h2, h3, h4, h5, h6, h7 := dig.h[0], dig.h[1], dig.h[2], dig.h[3], dig.h[4], dig.h[5], dig.h[6], dig.h[7]
    	for len(p) >= chunk {
    		// Can interlace the computation of w with the
    		// rounds below if needed for speed.
    		for i := 0; i < 16; i++ {
    			j := i * 4
    			w[i] = uint32(p[j])<<24 | uint32(p[j+1])<<16 | uint32(p[j+2])<<8 | uint32(p[j+3])
    		}
    		for i := 16; i < 64; i++ {
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Wed May 03 21:21:42 UTC 2023
    - 2.4K bytes
    - Viewed (0)
  7. android/guava/src/com/google/common/hash/HashingOutputStream.java

       *
       * <p>The {@link OutputStream} should not be written to before or after the hand-off.
       */
      // TODO(user): Evaluate whether it makes sense to always piggyback the computation of a
      // HashCode on an existing OutputStream, compared to creating a separate OutputStream that could
      // be (optionally) be combined with another if needed (with something like
      // MultiplexingOutputStream).
    Registered: Wed Jun 12 16:38:11 UTC 2024
    - Last Modified: Tue Apr 20 18:43:59 UTC 2021
    - 2.6K bytes
    - Viewed (0)
  8. src/math/big/prime.go

    //
    // References:
    //
    // Baillie and Wagstaff, "Lucas Pseudoprimes", Mathematics of Computation 35(152),
    // October 1980, pp. 1391-1417, especially page 1401.
    // https://www.ams.org/journals/mcom/1980-35-152/S0025-5718-1980-0583518-6/S0025-5718-1980-0583518-6.pdf
    //
    // Grantham, "Frobenius Pseudoprimes", Mathematics of Computation 70(234),
    // March 2000, pp. 873-891.
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Wed Nov 02 14:43:52 UTC 2022
    - 10.4K bytes
    - Viewed (0)
  9. src/cmd/internal/notsha256/sha256block.go

    func blockGeneric(dig *digest, p []byte) {
    	var w [64]uint32
    	h0, h1, h2, h3, h4, h5, h6, h7 := dig.h[0], dig.h[1], dig.h[2], dig.h[3], dig.h[4], dig.h[5], dig.h[6], dig.h[7]
    	for len(p) >= chunk {
    		// Can interlace the computation of w with the
    		// rounds below if needed for speed.
    		for i := 0; i < 16; i++ {
    			j := i * 4
    			w[i] = uint32(p[j])<<24 | uint32(p[j+1])<<16 | uint32(p[j+2])<<8 | uint32(p[j+3])
    		}
    		for i := 16; i < 64; i++ {
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Fri Apr 29 14:23:17 UTC 2022
    - 2.5K bytes
    - Viewed (0)
  10. tensorflow/compiler/jit/get_compiler_ir.cc

          TF_ASSIGN_OR_RETURN(xla::ProgramShape program_shape,
                              result.computation->GetProgramShape());
          xla::HloModuleConfig config(program_shape);
          TF_ASSIGN_OR_RETURN(
              std::unique_ptr<xla::HloModule> new_module,
              xla::HloModule::CreateFromProto(result.computation->proto(), config));
    
          xla::HloPrintOptions opts;
          if (stage == IrExportStage::HLO_NO_METADATA) {
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Thu Feb 22 06:59:07 UTC 2024
    - 19K bytes
    - Viewed (0)
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