padding_nums.push_back(padding_elem.getInt());
    }
  } else if (conv_padding.strref() == "VALID") {
    padding_nums.resize(padding_nums_size, 0);
  } else {
    padding_nums.resize(padding_nums_size);
    for (int i = 0; i < dnums.input_spatial_dimensions_size(); ++i) {
      const int64_t stride =
          mlir::cast<IntegerAttr>(op.getWindowStridesAttr()[i]).getInt();
      const int64_t lhs_size_dilated =

      const int64_t dilation = get_int(dilations[dim]);
      rhs_dilations.push_back(dilation);
      const int64_t stride = get_int(strides[dim]);
      window_strides.push_back(stride);

      Value pad_low, pad_high;
      if (padding == tensorflow::Padding::EXPLICIT) {
        pad_low = get_const(get_int(explicit_paddings[2 * dim]));
        pad_high = get_const(get_int(explicit_paddings[2 * dim + 1]));

        average = total.div(size());
        this.min = min;
        this.max = max;

        BigDecimal sumSquares = BigDecimal.ZERO;
        Units<Q> baseUnits = average.getUnits().getBaseUnits();
        BigDecimal averageValue = average.toUnits(baseUnits).getValue();
        for (Amount<Q> amount : this) {
            BigDecimal diff = amount.toUnits(baseUnits).getValue();

				}
				if got := ctx.CommonTlsContext.GetAlpnProtocols(); got != nil {
					t.Fatalf("expected alpn list nil as not h2 or Istio_Mutual TLS Setting; got %v", got)
				}
				if got := ctx.GetSni(); got != simpleTLSSettingsWithCerts.Sni {
					t.Fatalf("expected TLSContext SNI %v; got %v", simpleTLSSettingsWithCerts.Sni, got)
				}
			},
		},
		{
			name:          "user specified mutual tls",

                           << partition_dim << ".";
  }

  llvm::SmallVector<int64_t, 4> partition_dims(is_replicated ? 0 : rank, 1);
  if (!is_replicated) {
    partition_dims[partition_dim] = num_cores_per_replica.getInt();
  }

  if constexpr (is_input) {
    auto pi = builder.create<TF::TPUPartitionedInputV2Op>(
        op.getLoc(), op.getType(), op.getOperands(),

    if (mirrored_variable_indices_attr) {
      for (const auto& mirrored_index : mirrored_variable_indices_attr) {
        mirrored_replicate_args.insert(
            mlir::cast<IntegerAttr>(mirrored_index).getInt());
      }
    }
    auto func =
        llvm::cast<func::FuncOp>(m.lookupSymbol(cluster_func.getFunc()));
    for (auto entry : llvm::enumerate(cluster_func.getOperands())) {

  value->set_b(attr.getValue());
  return absl::OkStatus();
}

Status ConvertAttribute(const mlir::IntegerAttr& attr, AttrValue* value) {
  value->set_i(attr.getInt());
  return absl::OkStatus();
}

Status ConvertAttribute(const mlir::FloatAttr& attr, AttrValue* value) {
  value->set_f(attr.getValueAsDouble());
  return absl::OkStatus();
}

          generator_op, generator_op.getFinalizeFunc());

  if (!init_function || !next_function || !finalize_function) {
    return failure();
  }

  CreateCall(generator_op, init_function, generator_region.getInit(),
             generator_region.getInitFuncOtherArgs(),
             /*use_region_args=*/true, /*forward_block_args=*/false);
  CreateCall(generator_op, next_function, generator_region.getNext(),

    public String toString() {
        if (cachedToString == null) {
            cachedToString = value + " " + units.format(value);
        }
        return cachedToString;
    }

    public Units<Q> getUnits() {
        return units;
    }

    public BigDecimal getValue() {
        return value;
    }

    /**
     * Returns a human consumable string representation of this amount.
     */

    auto arg_metadata = metadata.mutable_args(arg_index);
    if (arg_metadata->enable_xla_sharding() ==
        ::tensorflow::tpu::TPUCompileMetadataProto_Arg::ALLOWED) {
      int64_t ret_index =
          mlir::cast<IntegerAttr>(
              execute.getDeviceVarUpdatesIndices().getValue()[entry.index()])
              .getInt();