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Results 1 - 10 of 11 for hasLink (0.43 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/shape_inference.cc
// taking the most specialized. This combines `10x?x?` and `?x?x8` into // `10x?x8`. if (!lhs_shape_type.hasRank()) { if (rhs_shape_type.hasRank()) { shape.append(rhs_shape_type.getShape().begin(), rhs_shape_type.getShape().end()); refined_shape = true; } } else if (rhs_shape_type.hasRank()) { for (auto shape_elts : llvm::enumerate(
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/lite/ir/tfl_ops.cc
if ((input_ty && input_ty.hasRank() && input_ty.getRank() != 4) || (filter_ty && filter_ty.hasRank() && filter_ty.getRank() != 4)) { return emitOptionalError(location, "Invalid ranks"); } // If either input or filter is unranked, we will just return unranked output // shape. if (!input_ty || !filter_ty || !input_ty.hasRank() || !filter_ty.hasRank()) { Type result_type;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 169.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
// If data is unranked or data_rank is 0, this will remain -2. Otherwise // refers to first dimension of then and/or else. int64_t data_first_dim = -2; bool then_has_rank = then_tensor.hasRank(); bool else_has_rank = else_tensor.hasRank(); if (then_has_rank && else_has_rank) { data_rank = then_tensor.getRank(); if (then_tensor.getRank() > 0) data_first_dim = then_tensor.getShape().front();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
bool IsTailOfShape(Type type1, Type type2) { auto tail_type = mlir::dyn_cast<ShapedType>(type1); auto full_type = mlir::dyn_cast<ShapedType>(type2); if (!tail_type || !full_type || !tail_type.hasRank() || !full_type.hasRank() || tail_type.getRank() > full_type.getRank()) return false; auto i1 = tail_type.getShape().rbegin(), e1 = tail_type.getShape().rend(); auto i2 = full_type.getShape().rbegin();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
// Output batch and channel dimension can be obtained using utilities from // tensorflow/core/util/tensor_format.h. if (input_ty.hasRank()) { return_shape[GetTensorBatchDimIndex(num_dims, format)] = input_ty.getDimSize(GetTensorBatchDimIndex(num_dims, format)); } if (filter_ty.hasRank()) { return_shape[GetTensorFeatureDimIndex(num_dims, format)] = filter_ty.getDimSize(GetFilterTensorOutputChannelsDimIndex(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
return failure(); } if (!input_type.hasRank()) { LLVM_DEBUG(llvm::dbgs() << "Expected input_type to have rank.\n"); return failure(); } return success(); } static LogicalResult MatchFilterCommonPattern(const Value filter) { auto filter_type = filter.getType().cast<TensorType>(); if (!filter_type.hasRank()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
operator/cmd/mesh/testdata/manifest-generate/data-snapshot.tar.gz
on a specific HTTP query parameter. type: string maglev: description: The Maglev load balancer implements consistent hashing to backend hosts. properties: tableSize: description: The table size for Maglev hashing. type: integer type: object minimumRingSize: description: Deprecated. type: integer ringHash: description: The ring/modulo hash load balancer implements consistent hashing to backend hosts. properties: minimumRingSize: description: The minimum number of virtual nodes to use for the hash ring....
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Wed Jan 10 05:10:03 UTC 2024 - 198.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/flatbuffer_export.cc
std::vector<int32_t> shape; if (tensor_type.hasRank()) { llvm::ArrayRef<int64_t> shape_ref = tensor_type.getShape(); shape = std::vector<int32_t>(shape_ref.begin(), shape_ref.end()); } variant_params.push_back( tflite::CreateVariantSubType(builder_, builder_.CreateVector(shape), tflite_element_type, tensor_type.hasRank())); return variant_params; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 12 21:41:49 UTC 2024 - 164.5K bytes - Viewed (0) -
guava/src/com/google/common/cache/LocalCache.java
* @param h hash code */ static int rehash(int h) { // Spread bits to regularize both segment and index locations, // using variant of single-word Wang/Jenkins hash. // TODO(kevinb): use Hashing/move this to Hashing? h += (h << 15) ^ 0xffffcd7d; h ^= (h >>> 10); h += (h << 3); h ^= (h >>> 6); h += (h << 2) + (h << 14); return h ^ (h >>> 16); } /**
Registered: Wed Jun 12 16:38:11 UTC 2024 - Last Modified: Sat May 18 03:24:34 UTC 2024 - 149.2K bytes - Viewed (0) -
tests/integration/pilot/common/routing.go
Port: ports.HTTP, Check: check.OK(), }, }) } // consistentHashCases tests destination rule's consistent hashing mechanism func consistentHashCases(t TrafficContext) { if len(t.Clusters().ByNetwork()) != 1 { // Consistent hashing does not work for multinetwork. The first request will consistently go to a // gateway, but that gateway will tcp_proxy it to a random pod.
Registered: Fri Jun 14 15:00:06 UTC 2024 - Last Modified: Wed May 08 21:52:51 UTC 2024 - 135.9K bytes - Viewed (0)