Gustav Westling <******@****.***> 1470406403 +0200

# See the License for the specific language governing permissions and
# limitations under the License.
"""A template to define composite ops."""

# pylint: disable=g-direct-tensorflow-import

import os
import sys

from absl import app
from tensorflow.compiler.mlir.tfr.python.composite import Composite
from tensorflow.compiler.mlir.tfr.python.op_reg_gen import gen_register_op

// tfl.pad .
ShapedType GetPadOpType(mhlo::CompositeOp op);

// Given a Composite op that wraps a core.aten.avg_pool2d, finds the padding
// attribute to be passed to the a tfl.average_pool_2d that can fully replace
// this composite (here, padding is done directly by the tfl.average_pool_2d as
// opposed to being extracted into a separate tfl.pad).
StringAttr GetAvgPoolOpPadAttr(Builder& builder, mhlo::CompositeOp op);

        self.test(arg0);
    }

    @InterceptCalls
    @CallableKind.InstanceMethod
    public static void intercept_testVararg(
        @ParameterKind.Receiver CompositeInterceptorTestReceiver self,
        @ParameterKind.VarargParameter Object[] arg,
        @ParameterKind.CallerClassName String consumer
    ) {
        self.intercepted = "composite.testVararg(Object...)";

import tensorflow as tf

from tensorflow.compiler.mlir.tfr.python import composite
from tensorflow.compiler.mlir.tfr.python.op_reg_gen import gen_register_op
from tensorflow.compiler.mlir.tfr.python.tfr_gen import tfr_gen_from_module
from tensorflow.python.ops import gen_array_ops
from tensorflow.python.platform import flags

Composite = composite.Composite
FLAGS = flags.FLAGS

flags.DEFINE_string(
    'output', None,

include "mlir/Pass/PassBase.td"

def OutlineCompositesPass: Pass<"outline-composites", "func::FuncOp"> {
  let summary = "Outlines specific patterns into composites.";
  let description = [{
    Outline specific patterns into composites. Specific patterns can be any
    sub-DAG within a single `Block*`. The signature of the new composite
    matches the inupt and output edges from a node in the sub-DAG to a node out

// Returns true if the provided padding in the composite op can be satisfied 
// by SAME or VALID tensorflow padding.
def HasSameOrValidPadding: Constraint<Neg<HasCustomPadding.predicate>>;

// See the function doc in the header file.
def GetPadOpAttr: NativeCodeCall<"GetPadOpAttr($_builder, (*$0.begin()).getDefiningOp<mhlo::CompositeOp>())">;

from tensorflow.python.platform import flags


Composite = composite.Composite
FLAGS = flags.FLAGS

flags.DEFINE_string(
    'output', None,
    'Path to write the genereated register op file and MLIR file.')

flags.DEFINE_bool('gen_register_op', True,
                  'Generate register op cc file or tfr mlir file.')


@Composite(
    'NewConv2D',
    inputs=['input_: T', 'filter_: T', 'bias: T'],

        {rewriter.getNamedAttr("approx", rewriter.getBoolAttr(false))});
    auto composite_op = rewriter.create<stablehlo::CompositeOp>(
        output_mul.getLoc(), func.getResultTypes()[0],
        SmallVector<Value>{erf_input->getOperand(0)}, MakeCompositeName(kGelu),
        composite_attrs, func.getSymName());
    rewriter.replaceAllOpUsesWith(output_mul, composite_op);
    // Note these must be erased in reverse topo order to avoid

    [(IsNhwcLayoutOp $attrs)]>;

// pattern to lower a stablehlo.composite of `jax` and `pytorch` image resize fuctions
// in `nearest`mode and with NCHW inputs to a tflite.resize_nearest_neighbor op.
// TODO(b/343278954): Move the creation of transposes to a separate prepare pass
// to avoid creating multiple pattern-rewrite rules for the same composite op.
def LegalizeNchwResizeNearestNeighbor2dComposite: Pat<
    (MHLO_CompositeOp:$old_val