#define TFL_OPS

include "mlir/IR/OpBase.td"
include "mlir/Interfaces/ControlFlowInterfaces.td"
include "mlir/Interfaces/FunctionInterfaces.td"
include "mlir/Interfaces/InferTypeOpInterface.td"
include "mlir/Dialect/Quant/QuantOpsBase.td"
include "mlir/Interfaces/LoopLikeInterface.td"
include "mlir/Interfaces/SideEffectInterfaces.td"
include "tensorflow/compiler/mlir/lite/ir/tfl_op_interfaces.td"

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

include "mlir/Pass/PassBase.td"


def AnalyzeVariablesPass : Pass<"tfl-analyze-variables-pass", "mlir::ModuleOp"> {
  let summary = "Analyze variables in the graph";
  let description = [{

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

include "mlir/Pass/PassBase.td"

// TF device dialect passes.

def ResourceOpLiftingPass : Pass<"tf-resource-op-lifting", "ModuleOp"> {
  let summary = "Lifting resource operations out of device computation";
  let description = [{

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
include "mlir/Pass/PassBase.td"

def VerifyClusteringPass : Pass<"verify-clustering-pass", "mlir::func::FuncOp"> {

  let summary = "Verify that the Bridge output is correct and errors if verification fails.";

  let description = [{

//
// Ops in this file are sorted alphabetically.

include "tensorflow/compiler/mlir/tensorflow/ir/tf_op_base.td"
include "mlir/Interfaces/CallInterfaces.td"
include "mlir/Interfaces/InferTypeOpInterface.td"
include "mlir/IR/OpAsmInterface.td"
include "mlir/IR/SymbolInterfaces.td"

def TF_AbsOp : TF_Op<"Abs", [Pure, TF_Idempotent, TF_SameOperandsAndResultTypeResolveRef]> {

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

include "mlir/Pass/PassBase.td"

// TF dialect passes.

def TensorflowGPUFusion : Pass<"tf-gpu-op-fusion", "mlir::func::FuncOp"> {
  let summary = "Fusion optimization for GPU targets";
  let description = [{

                <td><literal>defaults to 'warn'</literal></td>
            </tr>
            <tr>
                <td>allowFileOverwrite</td>
                <td><literal>defaults to 'false'</literal></td>
            </tr>
            <tr>
                <td>packageName</td>
                <td />
            </tr>
            <tr>
                <td>projectName</td>

| `license_info`...

| `license_info` | `dict` | 🛂 ℹ 🎦 🛠️. ⚫️ 💪 🔌 📚 🏑. <details><summary><cod...

<h3 id="summary">Summary</h3>

<table class="summary">
	<tr>
		<td>Goroutine start location:</td>
		<td><code>{{.Name}}</code></td>
	</tr>
	<tr>
		<td>Count:</td>
		<td>{{.N}}</td>
	</tr>
	<tr>
		<td>Execution Time:</td>
		<td>{{.ExecTimePercent}} of total program execution time </td>
	</tr>
	<tr>
		<td>Network wait profile:</td>