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Results 1 - 6 of 6 for computations (0.15 sec)

  1. tensorflow/compiler/mlir/tensorflow/transforms/passes.h

    // Creates a pass that lifts operations on external resource variables from
    // device computation nested in `tf_device::LaunchOp` out so that resource
    // variable load operations are all before device computation while resource
    // variable store operations are all after device computation. After this pass,
    // device computation no longer interacts with external resource variables.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 21:18:05 UTC 2024
    - 31.8K bytes
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  2. tensorflow/compiler/mlir/tf2xla/api/v1/compile_tf_graph.cc

      }
    
      if (output_to_input_alias.empty()) return absl::OkStatus();
    
      xla::HloModuleProto* module_proto =
          compilation_result->computation->mutable_proto();
      absl::StatusOr<xla::ProgramShape> program_shape_or_status =
          compilation_result->computation->GetProgramShape();
      TF_RET_CHECK(program_shape_or_status.ok());
    
      xla::ProgramShape& program_shape = program_shape_or_status.value();
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Wed Jun 12 22:19:26 UTC 2024
    - 14K bytes
    - Viewed (0)
  3. tensorflow/compiler/mlir/tensorflow/utils/tpu_rewrite_device_util.cc

      }
      return DeviceNameUtils::ParsedNameToString(tpu_device);
    }
    
    // Determine execution devices when topology and device assignment are not
    // defined. This is a special case where a single core computation is replicated
    // to every core in the mesh. TPU devices are simply added to
    // `execution_devices` of one replica. `num_replicas` must be 1 or the total
    // number of TPU devices available, and `num_cores_per_replica` must be 1.
    Registered: Sun Jun 16 05:45:23 UTC 2024
    - Last Modified: Mon Jun 10 20:10:40 UTC 2024
    - 32.8K bytes
    - Viewed (0)
  4. src/cmd/compile/internal/liveness/plive.go

    //
    //	OpVarDef x
    //	base, len, cap = pieces of x[1:]
    //	x = {base, len, cap}
    //
    // then the liveness analysis would decide the previous value of x was
    // unnecessary even though it is about to be used by the x[1:] computation.
    // Similarly, if the generated code looked like:
    //
    //	base, len, cap = pieces of x[1:]
    //	x = {base, len, cap}
    //	OpVarDef x
    //
    // then the liveness analysis will not preserve the new value of x, because
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Fri Jun 07 15:22:22 UTC 2024
    - 45.2K bytes
    - Viewed (0)
  5. android/guava-tests/test/com/google/common/util/concurrent/JSR166TestCase.java

     *       SMALL_DELAY_MS}, {@code MEDIUM_DELAY_MS}, {@code LONG_DELAY_MS}. The idea here is that a
     *       SHORT is always discriminable from zero time, and always allows enough time for the small
     *       amounts of computation (creating a thread, calling a few methods, etc) needed to reach a
     *       timeout point. Similarly, a SMALL is always discriminable as larger than SHORT and smaller
    Registered: Wed Jun 12 16:38:11 UTC 2024
    - Last Modified: Mon Jun 10 19:21:11 UTC 2024
    - 37.7K bytes
    - Viewed (0)
  6. src/math/big/float.go

    	rbit := z.mant.bit(r) & 1    // rounding bit; be safe and ensure it's a single bit
    	// The sticky bit is only needed for rounding ToNearestEven
    	// or when the rounding bit is zero. Avoid computation otherwise.
    	if sbit == 0 && (rbit == 0 || z.mode == ToNearestEven) {
    		sbit = z.mant.sticky(r)
    	}
    	sbit &= 1 // be safe and ensure it's a single bit
    
    	// cut off extra words
    Registered: Wed Jun 12 16:32:35 UTC 2024
    - Last Modified: Thu Jun 06 15:46:54 UTC 2024
    - 44.5K bytes
    - Viewed (0)
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