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Results 21 - 30 of 43 for Dadd (0.03 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/cluster_ops_by_policy.cc
// operation dominates all the users (%3 in this example). Operation *insertion_point; // After construction: // A set of constraints on the clustered operation operands that must be // satisfied in order to add operation to the cluster. For basic block // source this will be always empty. // // During the union-find cluster formation: // The root member will have constraints merged from all of the cluster
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 27.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_variable_runtime_reformatting.cc
devices.insert({device_alias, device_list_for_alias}); } OpBuilder builder(replicate); builder.setInsertionPoint(while_op); // Create per-device variables for formatting state, and add them to the while // loop. auto key_type = RankedTensorType::get({2}, TF::StringType::get(builder.getContext())); auto state_vars = CreateStateVars(devices, while_op.getLoc(), key_type, &builder);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 21.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_rewrite_pass.cc
auto compilation_status_type = RankedTensorType::get({}, builder->getType<TF::StringType>()); auto program_type = RankedTensorType::get({3}, builder->getType<TF::StringType>()); // Add MLIR module's fingerprint to compile metadata. uint64_t mlir_fingerprint = tensorflow::Fingerprint64(txt_module); metadata.set_mlir_fingerprint(mlir_fingerprint); std::string txt_metadata;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 21:25:12 UTC 2024 - 29.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/tpu_sharding_identification_pass.cc
tensorflow::DeviceNameUtils::ParsedName name; if (tensorflow::DeviceNameUtils::ParseFullName(device.str(), &name)) { if (name.type == "TPU_REPLICATED_CORE") { // TODO(hanxiongwang): Add check for out of bound of name.id return llvm::StringRef(logical_device_vec[name.id]); } } } } return std::nullopt; }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 02:01:13 UTC 2024 - 28.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/prepare_quantize_dynamic_range.cc
} else if (quant_specs_.inference_type == tensorflow::DT_HALF) { quantizeOpAsFloat16(rewriter, op, quant_op); quantized = true; } } return quantized; } // Add asymmetric input quantization attribute. MLIR dynamic quantization // supports only the case that the value of the attribute equals to true. For // details, see tensorflow/compiler/mlir/lite/quantization/quantization.td
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 20.8K bytes - Viewed (0) -
tensorflow/cc/framework/scope.cc
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:57:22 UTC 2024 - 20.9K bytes - Viewed (0) -
tensorflow/c/experimental/stream_executor/stream_executor.cc
if (memory_bandwidth >= 0) { builder.set_memory_bandwidth(memory_bandwidth); } } // TODO(annarev): Add gflops field in DeviceDescription and set it here. // TODO(annarev): Perhaps add `supports_unified_memory` in // DeviceDescription. return builder.Build(); } absl::StatusOr<std::unique_ptr<Event>> CreateEvent() override {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jun 14 07:39:19 UTC 2024 - 27.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/ir/UniformSupport.h
// fixed_point = clamp(clamp_min, clamp_max, ( // roundHalfToEven(expressed / scale) + zero_point)) APFloat scaled = (expressed_value / scale_); scaled.roundToIntegral(round_mode_); scaled.add(zero_point_, round_mode_); APFloat fixed_point = llvm::minimum(scaled, clamp_max_); fixed_point = llvm::maximum(fixed_point, clamp_min_); llvm::APSInt result(storage_bit_width_, !is_signed_);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 02:10:16 UTC 2024 - 9.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/schema/schema_v3b.fbs
// limitations under the License. // Revision History // Version 0: Initial version. // Version 1: Add subgraphs to schema. // Version 2: Rename operators to conform to NN API. // Version 3: Move buffer data from Model.Subgraph.Tensors to Model.Buffers. // Version 3a: Add new builtin op code field. Has backward compatibility with // version 3.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 14:28:27 UTC 2024 - 30K bytes - Viewed (0) -
tensorflow/compiler/mlir/tfr/passes/raise_to_tf.cc
OperationState new_state(loc, tf_op_name, inputs, output_types, attr_list); Operation* new_op = rewriter.create(new_state); if (materialize_derived_attrs_) { for (const auto& attr : derived_attrs) { // Add or update the derived attribute with the value. Skip the fixed // element type attributes, in case they are present in the NodeDef. if (!fixed_elt_type_attrs_.contains(attr.first())) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 21.8K bytes - Viewed (0)