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Results 31 - 40 of 43 for Dadd (0.03 sec)
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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) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/defer_activation_transpose.cc
}; void DeferActivationTransposePass::runOnOperation() { func::FuncOp func_op = getOperation(); MLIRContext& ctx = getContext(); RewritePatternSet patterns(&ctx); patterns.add<DeferActivationTransposeForAddOp, DeferActivationTransposeForMaxPoolReduceWindowOp, DeferActivationTransposeForMaxOp>(&ctx); if (failed(applyPatternsAndFoldGreedily(func_op, std::move(patterns)))) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/passes/prepare_quantize_drq.cc
void PrepareQuantizeDRQPass::runOnOperation() { MLIRContext* ctx = &getContext(); RewritePatternSet patterns(ctx); ModuleOp module_op = getOperation(); populateWithGenerated(patterns); patterns.add<PrepareDRQQuantizableOp>(ctx, quant_specs_, op_set_, enable_per_channel_quantization_); FrozenRewritePatternSet frozen_patterns(std::move(patterns));
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/cc/framework/fuzzing/cc_op_fuzz_gen.cc
const auto& api_def_attr(op_info.api_def.attr(i)); // Skip inferred arguments if (op_info.inferred_input_attrs.count(attr.name()) > 0) continue; // Skip if it has default value (TODO(unda, b/249345399): add our custom // values) if (api_def_attr.has_default_value()) continue; // TODO(unda, b/253432797): handle unimplemented input attribute types
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jan 27 16:26:51 UTC 2024 - 13K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/sparsecore/embedding_sequencing.cc
OpType& found_op) { // Find the TPUReplicationMetadata or TPUCompilationResult ops which will be // cloned/inserted into each region. We add them to the merged_set so that // they're ignored when extracting the four main functions. found_op = nullptr; for (OpType op : func.getOps<OpType>()) { if (found_op != nullptr) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 39.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/decompose_reduce_dataset.cc
// Then branch gets the data and calls the reduce_function. auto& then_branch = dataset_if.getThenBranch(); then_branch.push_back(new Block); builder.setInsertionPointToEnd(&then_branch.front()); // Add iterator operational data access inside if. auto get_value = builder.create<TF::OptionalGetValueOp>(loc, dataset_types, get_next.getResult());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14K bytes - Viewed (0) -
tensorflow/compiler/jit/encapsulate_xla_computations_pass.cc
AddNodeAttr("function", function, &def); for (Node* node : nodes_to_remove) { VLOG(2) << "Deleting node " << node->DebugString(); // Ensure that we do not attempt to add control edges to nodes that are // deleted. control_inputs.erase(node); control_outputs.erase(node); graph->RemoveNode(node); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 06:33:33 UTC 2024 - 15.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/fused_kernel_matcher.cc
}); return false; } return true; } }; void FusedKernelMatcherPass::runOnOperation() { RewritePatternSet patterns(&getContext()); auto func = getOperation(); patterns.add<FuseConv2DBiasAdd, FuseMatMulBiasAdd>(&getContext()); (void)applyPatternsAndFoldGreedily(func, std::move(patterns)); } } // namespace
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/internal/passes/extract_head_tail_outside_compilation.cc
// Insert all ops including nested ops for checking outputs/side effects. cluster_op.walk( [&](Operation* op) { tail_outside_compiled_ops_set.insert(op); }); // Only add top level ops to output vector. tail_outside_compiled_ops->push_back(&cluster_op); } *cluster_results = cluster_results_set.takeVector(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 20.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_saved_model.cc
return success(); } }; void SessionInitializerOp::getCanonicalizationPatterns( RewritePatternSet &results, MLIRContext *context) { results.add<OptimizeSessionInitializerPattern>(context); } SmallVector<StringRef, 2> GetSessionInitializerExportedName(ModuleOp op) { auto session_initializer_op = GetSessionInitializerOp(op);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 23.5K bytes - Viewed (0)