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doc/next/5-toolchain.md
<!-- https://go.dev/issue/62737 , https://golang.org/cl/576681, https://golang.org/cl/577615 --> The compiler in Go 1.23 can now overlap the stack frame slots of local variables accessed in disjoint regions of a function, which reduces stack usage for Go applications. <!-- https://go.dev/cl/577935 --> For 386 and amd64, the compiler will use information from PGO to align certain
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Jun 11 17:18:10 UTC 2024 - 1.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
TypeRange input_types, ArrayRef<Region*> regions, int64_t max_iterations) { DCOMMENT("\tPropagating shapes to regions"); bool any_failure = false; bool any_nonconvergence = false; // If shape propagation fails for one region, return failure, but do not // early exit and attempt to propagate shapes for all provided regions to // have a best-effort propagation. for (auto region : regions) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/passes.h
// Sinks `tf.Const` operations in the ClusterOp region using them. This is // performed in order to limit the number of values implicitly captured in this // region before outlining. std::unique_ptr<OperationPass<func::FuncOp>> CreateClusterConstantSinkingPass( llvm::function_ref<bool(tf_device::ClusterOp, ElementsAttr)> filter = {}); // Creates a pass that outlines regions of tf_device.cluster operations.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:18:05 UTC 2024 - 31.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.td
} def FunctionalControlFlowToRegionsPass : Pass<"tf-functional-control-flow-to-regions", "ModuleOp"> { let summary = "Transforms functional control flow operations to their region-based counterparts"; let description = [{ This pass transforms functional control flow operations in the TensorFlow dialect to their region-based counterparts, i.e., `tf.If` is transformed to
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/lite/ir/tfl_ops.td
output: A list of output tensors whose types are T. call: Multiple regions, each of which encapsulates the same semantic computation but in different forms. }]; let arguments = (ins Variadic<AnyTensor>:$input); let results = (outs Variadic<AnyTensor>:$output); let regions = (region VariadicRegion<SizedRegion<1>>:$calls); let hasCanonicalizer = 1; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
// Build a subgraph with a given name out of the region either corresponding // to a function's body or while op. Modifies *region by calling // ExtractControlEdges. std::optional<BufferOffset<tflite::SubGraph>> BuildSubGraph( const std::string& name, Region* region, int index); // Modifies *block by unwrapping all ControlNodeOps. The DAG of the control
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
cluster/gce/util.sh
--network="${NETWORK}" \ --regions="${REGION}" \ --project="${NETWORK_PROJECT}" \ --limit=1 \ --format='value(name)' 2>/dev/null) if [[ -n ${SUBNETWORK:-} ]]; then echo "Found subnet for region ${REGION} in network ${NETWORK}: ${SUBNETWORK}" return 0 fi echo "${color_red}Could not find subnetwork with region ${REGION}, network ${NETWORK}, and project ${NETWORK_PROJECT}"
Registered: Sat Jun 15 01:39:40 UTC 2024 - Last Modified: Wed Jun 12 21:47:17 UTC 2024 - 161.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/lower_static_tensor_list.cc
// Inline the regions from the old while into the new one, and apply // signature conversion to inlined region. for (auto it : llvm::zip(op.getRegions(), converted.getRegions())) { Region &old_region = *std::get<0>(it); Region &new_region = *std::get<1>(it); Block &entry = old_region.front(); // Build signature conversion for the region.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 70.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
} int64_t num_regions = op.getNumRegions(); for (int64_t idx = 0; idx < num_regions; ++idx) { Region ®ion = mhlo_op.getBodyRegion(idx); rewriter.inlineRegionBefore(op.getBodyRegion(idx), region, region.end()); // Update region's entry blocks argument types to handle quantized element // types. if constexpr (std::is_same<DstOpT, mhlo::WhileOp>::value) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
src/cmd/compile/internal/ssa/rewrite.go
for v.Op == OpOffPtr || v.Op == OpAddPtr { v = v.Args[0] } return v.Op == OpSP || v.Op == OpLocalAddr } // disjoint reports whether the memory region specified by [p1:p1+n1) // does not overlap with [p2:p2+n2). // A return value of false does not imply the regions overlap. func disjoint(p1 *Value, n1 int64, p2 *Value, n2 int64) bool { if n1 == 0 || n2 == 0 { return true } if p1 == p2 { return false }
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri Jun 07 19:02:52 UTC 2024 - 64.2K bytes - Viewed (0)