x60 := uint8((x58 >> 8))
	out1[0] = x5
	out1[1] = x7
	out1[2] = x9
	out1[3] = x11
	out1[4] = x13
	out1[5] = x15
	out1[6] = x17
	out1[7] = x18
	out1[8] = x19
	out1[9] = x21
	out1[10] = x23
	out1[11] = x25
	out1[12] = x27
	out1[13] = x29
	out1[14] = x31
	out1[15] = x32
	out1[16] = x33
	out1[17] = x35
	out1[18] = x37
	out1[19] = x39
	out1[20] = x41

  }];

  let arguments = (ins);

  let results = (outs
    Res<TF_Int32Tensor, [{A vector containing the global TPU id of each TPU on the host.}]>:$output
  );
}

def TF_ShutdownTPUSystemOp : TF_Op<"ShutdownTPUSystem", []> {
  let summary = [{
An op that shuts down the TPU system.
  }];

  let arguments = (ins);
  let results = (outs
    TF_BoolTensor:$success
  );
}

  );

  let results = (outs);
}


def TFL_HashtableSizeOp: TFL_Op<"hashtable_size", []> {
  let summary = "Computes the number of elements in the given table.";

  let arguments = (ins
    TFL_ResourceTensor:$hash_table
  );

  let results = (outs
    TFL_I64Tensor:$out
  );
}

def TFL_BroadcastArgsOp : TFL_Op<"broadcast_args",[

            continue entries;
          }
        }
        if (outI < i) { // if outI == i don't bother writing the values back where they came from
          alternatingKeysAndValues[outKeyIndex] = key;
          alternatingKeysAndValues[outKeyIndex ^ 1] = value;
        }
        outI++;
      }
      return outI == n ? hashTable : new Object[] {hashTable, outI, duplicateKey};
    } else if (tableSize <= SHORT_MAX_SIZE) {
      /*

  let description = [{
    The ConstOp creates a constant tensorflow::Tensor from serialized proto.
  }];

  let arguments = (ins
    StrAttr:$tensor_proto
  );

  let results = (outs
    TFTensorType:$result
  );

  let assemblyFormat = "attr-dict";
}

def ExecuteOp : TensorflowMlrt_Op<"executeop", []> {
  let summary = "The Fallback ExecuteOp";
  let description = [{

	out1[21] = x48
	out1[22] = x50
	out1[23] = x51
	out1[24] = x52
	out1[25] = x54
	out1[26] = x56
	out1[27] = x58
	out1[28] = x60
	out1[29] = x62
	out1[30] = x64
	out1[31] = x65
	out1[32] = x66
	out1[33] = x68
	out1[34] = x70
	out1[35] = x72
	out1[36] = x74
	out1[37] = x76
	out1[38] = x78
	out1[39] = x79
	out1[40] = x80
	out1[41] = x82
	out1[42] = x84

}

func (c *CodeDirectory) put(out []byte) []byte {
	out = put32be(out, c.magic)
	out = put32be(out, c.length)
	out = put32be(out, c.version)
	out = put32be(out, c.flags)
	out = put32be(out, c.hashOffset)
	out = put32be(out, c.identOffset)
	out = put32be(out, c.nSpecialSlots)
	out = put32be(out, c.nCodeSlots)
	out = put32be(out, c.codeLimit)
	out = put8(out, c.hashSize)
	out = put8(out, c.hashType)

// QDQ-NEXT: %[[out1:.*]] = "tfl.dequantize"(%[[split]]#0) : (tensor<2x!quant.uniform<u8:f32, 1.000000e+00>>) -> tensor<2xf32>
// QDQ-NEXT: %[[out2:.*]] = "tfl.dequantize"(%[[split]]#1) : (tensor<2x!quant.uniform<u8:f32, 1.000000e+00>>) -> tensor<2xf32>
// QDQ-NEXT: return %[[out1]], %[[out2]] : tensor<2xf32>, tensor<2xf32>
}

// CHECK-LABEL: RemoveTrival

	if _, err := outf.Seek(int64(dwarfCmdOffset), 0); err != nil {
		return err
	}
	if _, err := io.CopyN(outf, bytes.NewReader(realdwarf.Raw()), int64(realdwarf.Len)); err != nil {
		return err
	}
	if _, err := outf.Seek(int64(unsafe.Offsetof(exem.FileHeader.Ncmd)), 0); err != nil {
		return err
	}
	if err := binary.Write(outf, exem.ByteOrder, exem.Ncmd+1); err != nil {
		return err
	}

    %1 = tfr.get_shape %0 -> !shape.shape
    ```
  }];

  let arguments = (ins TFR_TensorType:$arg);

  let results = (outs Shape_ShapeType:$out);

  let assemblyFormat = "$arg attr-dict `->` type($out)";

  let hasCanonicalizer = 1;
}

def TFR_GetElementTypeOp : TFR_Op<"get_element_type", [Pure]> {
  let description = [{