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Results 1 - 8 of 8 for MlirPassthroughOp (0.58 sec)
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tensorflow/compiler/mlir/tensorflow/tests/graphdef2mlir/mlir_passthrough_op.pbtxt
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Oct 30 06:52:55 UTC 2023 - 1.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/materialize_passthrough_op.mlir
// RUN: tf-opt -allow-unregistered-dialect -tf-materialize-passthrough-op %s | FileCheck %s // Check that the MlirPassthroughOp is eliminated and replaced by its attached // MLIR module. // CHECK-LABEL: func @main func.func @main(%arg0 : tensor<10xf32>, %arg1 : tensor<10xf32>) -> tensor<10x10xf32> { // CHECK-SAME: (%[[ARG0:.*]]: tensor<10xf32>, %[[ARG1:.*]]: tensor<10xf32>)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Mar 30 10:34:48 UTC 2022 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/tests/mlir2graphdef/type_attr.mlir
// CHECK: name: "plain" // CHECK: Placeholder // CHECK: key: "type" // CHECK: type: DT_INT8 func.func @main(%arg0 : tensor<16xf32>) { tf_executor.graph { %1:2 = tf_executor.island wraps "tf.MlirPassthroughOp"(%arg0) {extra_type_attr = [tensor<5xi32>, tensor<16xf32>], Tinputs = [tensor<16xf32>], Toutputs = [tensor<16xf32>], mlir_module = ""} : (tensor<16xf32>) -> tensor<16xf32> tf_executor.fetch } func.return }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 28 12:06:33 UTC 2022 - 1.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/materialize_mlir_passthrough_op.cc
: public impl::MaterializePassthroughOpBase<MaterializePassthroughOpPass> { public: void runOnOperation() override; }; void MaterializePassthroughOpPass::runOnOperation() { getOperation().walk([](TF::MlirPassthroughOp op) { std::string module_string(op.getMlirModule()); // Parse the module. auto nested_module = parseSourceString<ModuleOp>(module_string, op.getContext()); if (!nested_module) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Nov 03 12:35:38 UTC 2022 - 4.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/passes.h
// Transforms region bases control flow operations in the TensorFlow dialect to // their functional counterparts. std::unique_ptr<OperationPass<ModuleOp>> CreateTFRegionControlFlowToFunctional(); // Materialize the MlirPassthroughOp by replacing it with the MLIR module // attached as an attribute. std::unique_ptr<OperationPass<func::FuncOp>> CreateMaterializePassthroughOpPass();
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
return %2 : tensor<?xi32> ``` }]; } def MaterializePassthroughOp : Pass<"tf-materialize-passthrough-op", "mlir::func::FuncOp"> { let summary = "Materialize the MlirPassthroughOp by replacing it with the " "MLIR module attached as an attribute"; let constructor = "TF::CreateMaterializePassthroughOpPass()"; let description = [{
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/g3doc/_includes/tf_passes.md
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 02 02:26:39 UTC 2023 - 96.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0)