- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 23 for computations (0.3 sec)
-
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
%computation = "tf_device.cluster_func"(%read) {func = @computation, use_spmd_for_xla_partitioning = true} : (tensor<i32>) -> tensor<i32> "tf.AssignVariableOp"(%partitioned_variable, %computation) : (tensor<!tf_type.resource<tensor<i32>>>, tensor<i32>) -> () return } func @computation(%arg0: tensor<i32>) -> tensor<i32> { return %arg0: tensor<i32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
src/main/webapp/js/admin/popper.min.js.map
.concat([fragments[divider].split(splitRegex)[0]]),\n [fragments[divider].split(splitRegex)[1]].concat(\n fragments.slice(divider + 1)\n ),\n ]\n : [fragments];\n\n // Convert the values with units to absolute pixels to allow our computations\n ops = ops.map((op, index) => {\n // Most of the units rely on the orientation of the popper\n const measurement = (index === 1 ? !useHeight : useHeight)\n ? 'height'\n : 'width';\n let mergeWithPrevious = false;\n return...
Registered: Wed Jun 12 13:08:18 UTC 2024 - Last Modified: Fri Feb 07 10:28:50 UTC 2020 - 121K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tpu_rewrite.mlir
%add_result = "tf.Add"(%computation, %computation) : (tensor<i32>, tensor<i32>) -> tensor<i32> // expected-error@+1 {{Input of TPUPartitionedOutputV2 must be in tpu computation.}} %partitioned_output:2 = "tf.TPUPartitionedOutputV2"(%add_result) {N = 2 : i64, partition_dims = []} : (tensor<i32>) -> (tensor<i32>, tensor<i32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 22:03:30 UTC 2024 - 172.9K bytes - Viewed (0) -
tensorflow/compiler/jit/extract_outside_compilation_pass.cc
**host_graph, fld); } return absl::OkStatus(); } // Expand XLA computation's outside compilation host side graph into main graph. // Add a control edge between sequencer node and the XLA computation node. Status ExpandHostGraphIntoMainGraph(Graph* main_graph, FunctionLibraryDefinition* fld,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 104.7K bytes - Viewed (0) -
guava/src/com/google/common/util/concurrent/ClosingFuture.java
import javax.annotation.CheckForNull; import org.checkerframework.checker.nullness.qual.Nullable; /** * A step in a pipeline of an asynchronous computation. When the last step in the computation is * complete, some objects captured during the computation are closed. * * <p>A pipeline of {@code ClosingFuture}s is a tree of steps. Each step represents either an
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Mon Apr 01 16:15:01 UTC 2024 - 98.7K bytes - Viewed (0) -
android/guava/src/com/google/common/util/concurrent/ClosingFuture.java
import javax.annotation.CheckForNull; import org.checkerframework.checker.nullness.qual.Nullable; /** * A step in a pipeline of an asynchronous computation. When the last step in the computation is * complete, some objects captured during the computation are closed. * * <p>A pipeline of {@code ClosingFuture}s is a tree of steps. Each step represents either an
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Tue May 07 12:37:15 UTC 2024 - 98.3K bytes - Viewed (0) -
pkg/controller/podautoscaler/horizontal_test.go
t.Fatalf("the metric computation actions for %d types should be recorded, but actually only %d was recorded", len(tc.expectedReportedMetricComputationActionLabels), len(m.metricComputationActionLabels)) } if len(tc.expectedReportedMetricComputationErrorLabels) != len(m.metricComputationErrorLabels) {
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Thu Apr 25 14:24:16 UTC 2024 - 199.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
DeclareOpInterfaceMethods<RegionBranchOpInterface>, SingleBlockImplicitTerminator<"YieldOp">]> { let summary = [{Poly call}]; let description = [{ Have multiple function bodies for the same computation. This allows a program compiler/interpreter to choose one of the available options to execute the program based on which one is most suitable for the target backend.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/tf-ops.mlir
// expected-error @+1 {{tf.XlaReduceWindow' op expects the size of base_dilations to be equal to the input rank (2 vs. 1)}} %0 = "tf.XlaReduceWindow"(%arg0, %arg1, %cst_0, %cst_1, %cst_2, %cst_3, %cst) {computation = @no_reducer} : (tensor<7xf32>, tensor<f32>, tensor<1xi32>, tensor<1xi32>, tensor<2xi32>, tensor<1xi32>, tensor<1x2xi32>) -> tensor<?xf32> func.return %0 : tensor<?xf32> } // -----
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 23 14:40:35 UTC 2023 - 236.4K bytes - Viewed (0) -
src/compress/bzip2/testdata/Isaac.Newton-Opticks.txt.bz2
Colours. And what those Angles are may be easily gather'd from the foregoing Theorem by Computation. For in the least refrangible Rays the Sines I and R (as was found above) are 108 and 81, and thence by Computation the greatest Angle AXR will be found 42 Degrees and 2 Minutes, and the least Angle AYS, 50 Degrees and 57 Minutes. And in the most refrangible Rays the Sines I and R are 109 and 81, and thence by Computation the greatest Angle AXR will be found 40 Degrees and 17 Minutes, and the least Angle...
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Sep 24 18:26:02 UTC 2018 - 129.4K bytes - Viewed (0)