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tensorflow/compiler/jit/extract_outside_compilation_pass.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 104.7K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_subgraphs_pass_test.cc
return nodes; } // Returns a sorted vector of (src, dst) edges in 'graph'. std::vector<std::pair<string, string>> GraphEdges(const Graph& graph) { std::vector<std::pair<string, string>> edges; for (const Edge* edge : graph.edges()) { if (edge->src()->IsSource() || edge->dst()->IsSink()) continue; edges.emplace_back( absl::StrCat(edge->src()->name(), ":", edge->src_output()),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 22 08:47:20 UTC 2024 - 113.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/import_model.cc
result.types.push_back(type); } // Surprisingly input edges can be nondeterministically ordered. This // particularly seems to be the case for the control edges between _SOURCE // and _SINK that the Graph constructor inserts. Copy the input edges and // sort the edges, but only the control edges, not data edges! // TODO(jmolloy): We should probably just ignore _SOURCE and _SINK nodes.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 183.2K bytes - Viewed (0) -
src/compress/bzip2/testdata/Isaac.Newton-Opticks.txt.bz2
described in the fifth and sixth Observations passed by the edges of the Knives at less distances than that of any of the Fringes. _Obs._ 8. I caused the edges of two Knives to be ground truly strait, and pricking their points into a Board so that their edges might look towards one another, and meeting near their points contain a rectilinear Angle, I fasten'd their Handles together with Pitch to make this Angle invariable. The distance of the edges of the Knives from one another at the distance of four...
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Mon Sep 24 18:26:02 UTC 2018 - 129.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
// Populate the model control dependencies metadata entry. if (std::any_of( model_control_dependencies_.begin(), model_control_dependencies_.end(), [](const tflite::ControlEdges& edges) { return !edges.empty(); })) { metadata.push_back( BuildMetadata(tflite::kModelControlDependenciesMetadataKey, tflite::SerializeModelControlDependencies(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
src/crypto/x509/verify_test.go
name string graph trustGraphDescription expectedChains []string expectedErr string }{ { // Build the following graph from RFC 4158, figure 7 (note that in this graph edges represent // certificates where the parent is the issuer and the child is the subject.) For the certificate // C->B, use an unsupported ExtKeyUsage (in this case ExtKeyUsageCodeSigning) which invalidates
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 110.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
//===----------------------------------------------------------------------===// bool GeneratorDatasetRegionOp::areTypesCompatible(Type t1, Type t2) { return true; // Don't enforce type checking across control-flow edges. } void GeneratorDatasetRegionOp::getRegionInvocationBounds( ArrayRef<Attribute> operands, SmallVectorImpl<InvocationBounds>& invocationBounds) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
src/main/webapp/js/admin/popper.min.js.map
'right', 'top', 'bottom'],\n /**\n * @prop {number} padding=5\n * Amount of pixel used to define a minimum distance between the boundaries\n * and the popper. This makes sure the popper always has a little padding\n * between the edges of its container\n */\n padding: 5,\n /**\n * @prop {String|HTMLElement} boundariesElement='scrollParent'\n * Boundaries used by the modifier. Can be `scrollParent`, `window`,\n * `viewport` or any DOM element.\n */\n boundariesElement:...
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/transforms/tf_passes.td
let constructor = "TFTPU::CreateTPUColocateSplitsPass()"; let description = [{ It is beneficial for performance to assign a `Split` op to the same device as its predecessor. This is because the weight of cut edges is always minimized when the `Split` is with its predecessor. This colocation constraint will be used by the placer graph optimization to assign a device to the op.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 99.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
invocationBounds.emplace_back(InvocationBounds::getUnknown()); } bool WhileRegionOp::areTypesCompatible(Type t1, Type t2) { // For now, we don't enforce type checking across control-flow edges. return true; } //===----------------------------------------------------------------------===// // WhileRegionOp canonicalization
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0)