Add TOSA rank requirements to TOSA XML

Adds new optional element to argument 'rank'
- Must supply minimum and maximum rank
   - Integer values or the level based "MAX_RANK"
   - trailing modifiers allowed for "MAX_RANK"
- Displays in a new column in the document
- Document generation validates rank against specified shape

Change-Id: I507dc51bfe012d3230af43103c6c423a6f1e92b5
Signed-off-by: Eric Kunze <eric.kunze@arm.com>

4 files changed, 287 insertions, 21 deletions

diff --git a/tools/genspec.py b/tools/genspec.py
index f495296..c64f05b 100755
--- a/tools/genspec.py
+++ b/tools/genspec.py
@@ -3,7 +3,6 @@ import os
 
 import tosa
 
-
 class TOSASpecAsciidocGenerator:
     def __init__(self, spec):
         self.spec = spec
@@ -19,8 +18,9 @@ class TOSASpecAsciidocGenerator:
 
     def generate_operator(self, op, file):
         file.write("\n*Arguments:*\n")
+        file.write("[cols='2,1,1,1,2,4']")
         file.write("\n|===\n")
-        file.write("|Argument|Type|Name|Shape|Description\n\n")
+        file.write("|Argument|Type|Name|Shape|Rank|Description\n\n")
         for arg in op.arguments:
             cats = arg.categories
             if len(cats) > 1:
@@ -33,8 +33,15 @@ class TOSASpecAsciidocGenerator:
                     sep = " "
             else:
                 cattext = cats[0].name.title()
+            if len(arg.rank) > 0:
+                if (arg.rank[0] == arg.rank[1]):
+                    rank = f'{arg.rank[0]}'
+                else:
+                    rank = f'{arg.rank[0]} to {arg.rank[1]}'
+            else:
+                rank = ""
             file.write(
-                f"|{cattext}|{arg.type}|{arg.name}|{arg.shape}|{arg.description}\n"
+                f"|{cattext}|{arg.type}|{arg.name}|{arg.shape}|{rank}|{arg.description}\n"
             )
         file.write("|===\n")
         if op.typesupports:
@@ -112,7 +119,11 @@ if __name__ == "__main__":
     parser.add_argument("--outdir", required=True, help="Output directory")
     args = parser.parse_args()
 
-    spec = tosa.TOSASpec(args.xml)
+    try:
+        spec = tosa.TOSASpec(args.xml)
+    except RuntimeError as e:
+        print(f"Failure reading/validating XML spec: {str(e)}")
+        exit(1)
 
     generator = TOSASpecAsciidocGenerator(spec)
     generator.generate(args.outdir)
diff --git a/tools/tosa.py b/tools/tosa.py
index bc6faa6..218412f 100644
--- a/tools/tosa.py
+++ b/tools/tosa.py
@@ -1,6 +1,22 @@
 import re
 import xml.etree.ElementTree as ET
 
+# possible shapes: shape1, [2], [N,H,W,C]
+# returns (checkable, rank)
+# checkable is false if shape doesn't contain []
+def get_rank_from_shape(shape):
+    if '[' not in shape or '[]' in shape:
+        return (False, -1)
+    # Check for fixed rank requirement [N]
+    m = re.match(r'\[(\d+)\]', shape)
+    if m:
+        return (True, 1)
+    # Check for comma separated rank descriptors, return count
+    m = re.match(r'\[(.*)\]', shape)
+    if m:
+        return (True, len(m.group(1).split(',')))
+    else:
+        raise RuntimeError(f'Unable to parse shape {shape}')
 
 class TOSAOperatorArgumentCategory:
     def __init__(self, name, profiles=None):
@@ -20,13 +36,14 @@ class TOSALevel:
         self.maximums = maximums
 
 class TOSAOperatorArgument:
-    def __init__(self, name, description, categories, ty, shape, levellimits):
+    def __init__(self, name, description, categories, ty, shape, levellimits, rank):
         self.name = name
         self.description = description
         self.categories = categories
         self.type = ty
         self.shape = shape
         self.levellimits = levellimits
+        self.rank = rank
 
 
 class TOSAOperatorDataTypeSupport:
@@ -103,7 +120,7 @@ class TOSASpec:
         types = []
         typesupports = []
         for arg in op.findall("arguments/argument"):
-            args.append(self.__load_operator_argument(arg))
+            args.append(self.__load_operator_argument(arg, name))
 
         # TODO add pseudo-code to operator object?
 
@@ -122,13 +139,26 @@ class TOSASpec:
             typesupports.append(TOSAOperatorDataTypeSupport(tsmode, tsmap, tsprofiles))
         return TOSAOperator(name, args, types, typesupports)
 
-    def __load_operator_argument(self, arg):
+    def __load_operator_argument(self, arg, op_name):
         name = arg.get("name")
         desc = arg.find("description").text.strip()
         argcats = []
         argtype = arg.get("type")
         shape = arg.get("shape")
         levellimits = []
+        rank = []
+        r = arg.find("rank")
+        if r != None:
+            if shape == "-":
+                raise RuntimeError(f"rank is not empty, but shape is '-' for {op_name}: {name}")
+            rank = [r.get('min'),r.get('max')]
+            # validate rank against the shape argument
+            (shape_check, shape_rank) = get_rank_from_shape(shape)
+            if shape_check and (shape_rank < int(rank[0]) or shape_rank > int(rank[1])):
+                raise RuntimeError(f"Description of shape rank doesn't match XML rank min/max: {op_name} {name} shape: {shape} shape_rank: {shape_rank} min/max: {rank[0]} {rank[1]}")
+        else:
+            if shape != "-":
+                raise RuntimeError(f"Rank not present for {op_name}: {name} when shape is {shape}")
         for levellimit in arg.findall("levellimit"):
             value = levellimit.get("value")
             limit = levellimit.get("limit")
@@ -140,7 +170,7 @@ class TOSASpec:
         for cat in cats:
             argcats.append(TOSAOperatorArgumentCategory(cat[0], cat[1].split(",")))
 
-        return TOSAOperatorArgument(name, desc, argcats, argtype, shape, levellimits)
+        return TOSAOperatorArgument(name, desc, argcats, argtype, shape, levellimits, rank)
 
     def __load_enum(self, arg):
         name = arg.get("name")
diff --git a/tosa.xml b/tosa.xml
index 7810127..5b863bb 100644
--- a/tosa.xml
+++ b/tosa.xml
@@ -19,12 +19,14 @@
           <argument category="input" name="input" type="in_t*" shape="shape1">
             <description>Input tensor</description>
             <levellimit value="rank(shape1)" limit="MAX_RANK"/>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="axis" type="int32_t" shape="-">
-            <description>Axis in range from 0 to rank(shape1)-1</description>
+            <description>Axis in range from 0 to rank(shape1) - 1</description>
           </argument>
           <argument category="output" name="output" type="out_t*" shape="shape">
-            <description>Output tensor, with rank = rank(shape1)-1</description>
+            <description>Output tensor, with rank = rank(shape1) - 1</description>
+            <rank min="0" max="MAX_RANK - 1"/>
           </argument>
         </arguments>
         <types>
@@ -50,17 +52,20 @@
         <name>AVG_POOL2D</name>
         <arguments>
           <argument category="input" name="input" type="in_out_t*" shape="[N,IH,IW,C]">
-            <description>Input tensor 4D</description>
+            <description>Input tensor</description>
+            <rank min="4" max="4"/>
           </argument>
           <argument category="attribute" name="kernel" type="int32_t*" shape="[2]">
             <description>[kernel_y, kernel_x]</description>
             <levellimit value="kernel_y" limit="MAX_KERNEL"/>
             <levellimit value="kernel_x" limit="MAX_KERNEL"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="stride" type="int32_t*" shape="[2]">
             <description>[stride_y, stride_x]</description>
             <levellimit value="stride_y" limit="MAX_STRIDE"/>
             <levellimit value="stride_x" limit="MAX_STRIDE"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="pad" type="int32_t*" shape="[4]">
             <description>[pad_top, pad_bottom, pad_left, pad_right]</description>
@@ -68,6 +73,7 @@
             <levellimit value="pad_bottom" limit="MAX_KERNEL"/>
             <levellimit value="pad_left"   limit="MAX_KERNEL"/>
             <levellimit value="pad_right"  limit="MAX_KERNEL"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="acc_size" type="acc_size_t" shape="-">
             <description>Enumerated type, must be one of INT32, FP16, FP32, as defined in the Supported Data Types table for this operation</description>
@@ -80,6 +86,7 @@
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="[N,OH,OW,C]">
             <description>Output tensor 4D</description>
+            <rank min="4" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -110,14 +117,17 @@
         <arguments>
           <argument category="input" name="input" type="in_t*" shape="[N,IH,IW,IC]">
             <description>Input tensor</description>
+            <rank min="4" max="4"/>
           </argument>
           <argument category="input" name="weight" type="weight_t*" shape="[OC,KH,KW,IC]">
             <description>Weight kernel size KH x KW</description>
             <levellimit value="dilation_y * KH" limit="MAX_KERNEL"/>
             <levellimit value="dilation_x * KW" limit="MAX_KERNEL"/>
+            <rank min="4" max="4"/>
           </argument>
           <argument category="input" name="bias" type="out_t*" shape="[OC]">
             <description>Per output channel bias data.</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="pad" type="int32_t*" shape="[4]">
             <description>[pad_top, pad_bottom, pad_left, pad_right]</description>
@@ -125,14 +135,17 @@
             <levellimit value="pad_bottom" limit="MAX_KERNEL"/>
             <levellimit value="pad_left"   limit="MAX_KERNEL"/>
             <levellimit value="pad_right"  limit="MAX_KERNEL"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="stride" type="int32_t*" shape="[2]">
             <description>[stride_y, stride_x]</description>
             <levellimit value="stride_y" limit="MAX_STRIDE"/>
             <levellimit value="stride_x" limit="MAX_STRIDE"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="dilation" type="int32_t*" shape="[2]">
             <description>[dilation_y, dilation_x]</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="input_zp" type="in_t" shape="-">
             <description>Input tensor zero point. Must be zero for non-int8 types.</description>
@@ -142,6 +155,7 @@
           </argument>
           <argument category="output" name="output" type="out_t*" shape="[N,OH,OW,OC]">
             <description>Output tensor</description>
+            <rank min="4" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -174,15 +188,18 @@
         <arguments>
           <argument category="input" name="input" type="in_t*" shape="[N,ID,IH,IW,IC]">
             <description>Input tensor</description>
+            <rank min="5" max="5"/>
           </argument>
           <argument category="input" name="weight" type="weight_t*" shape="[OC,KD,KH,KW,IC]">
             <description>Weight kernel size KDxKHxKW</description>
             <levellimit value="dilation_d * KD" limit="MAX_KERNEL"/>
             <levellimit value="dilation_y * KH" limit="MAX_KERNEL"/>
             <levellimit value="dilation_x * KW" limit="MAX_KERNEL"/>
+            <rank min="5" max="5"/>
           </argument>
           <argument category="input" name="bias" type="out_t*" shape="[OC]">
             <description>Per output channel bias data.</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="pad" type="int32_t*" shape="[6]">
             <description>[pad_d0, pad_d1, pad_top, pad_bottom, pad_left, pad_right]</description>
@@ -192,15 +209,18 @@
             <levellimit value="pad_bottom" limit="MAX_KERNEL"/>
             <levellimit value="pad_left"   limit="MAX_KERNEL"/>
             <levellimit value="pad_right"  limit="MAX_KERNEL"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="stride" type="int32_t*" shape="[3]">
             <description>[stride_d, stride_y, stride_x]</description>
             <levellimit value="stride_y" limit="MAX_STRIDE"/>
             <levellimit value="stride_x" limit="MAX_STRIDE"/>
             <levellimit value="stride_d" limit="MAX_STRIDE"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="dilation" type="int32_t*" shape="[3]">
             <description>[dilation_d, dilation_y, dilation_x]</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="input_zp" type="in_t" shape="-">
             <description>Input tensor zero point. Must be zero for non-int8 types.</description>
@@ -210,6 +230,7 @@
           </argument>
           <argument category="output" name="output" type="out_t*" shape="[N,OD,OH,OW,OC]">
             <description>Output tensor</description>
+            <rank min="5" max="5"/>
           </argument>
         </arguments>
         <types>
@@ -242,14 +263,17 @@
         <arguments>
           <argument category="input" name="input" type="in_t*" shape="[N,H,W,C]">
             <description>Input tensor</description>
+            <rank min="4" max="4"/>
           </argument>
           <argument category="input" name="weight" type="weight_t*" shape="[KH,KW,C,M]">
             <description>Weight kernel size KH x KW</description>
             <levellimit value="dilation_y * KH" limit="MAX_KERNEL"/>
             <levellimit value="dilation_x * KW" limit="MAX_KERNEL"/>
+            <rank min="4" max="4"/>
           </argument>
           <argument category="input" name="bias" type="out_t*" shape="[C*M]">
             <description>Per output channel bias data.</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="pad" type="int32_t*" shape="[4]">
             <description>[pad_top, pad_bottom, pad_left, pad_right]</description>
@@ -257,14 +281,17 @@
             <levellimit value="pad_bottom" limit="MAX_KERNEL"/>
             <levellimit value="pad_left"   limit="MAX_KERNEL"/>
             <levellimit value="pad_right"  limit="MAX_KERNEL"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="stride" type="int32_t*" shape="[2]">
             <description>[stride_y, stride_x]</description>
             <levellimit value="stride_y" limit="MAX_STRIDE"/>
             <levellimit value="stride_x" limit="MAX_STRIDE"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="dilation" type="int32_t*" shape="[2]">
             <description>[dilation_y, dilation_x]</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="input_zp" type="in_t" shape="-">
             <description>Input tensor zero point. Must be zero for non-int8 types.</description>
@@ -274,6 +301,7 @@
           </argument>
           <argument category="output" name="output" type="out_t*" shape="[N,OH,OW,C*M]">
             <description>Output tensor</description>
+            <rank min="4" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -308,18 +336,22 @@
             <description>Real part of the complex input. H,W must be powers of two.</description>
             <levellimit value="H" limit="MAX_KERNEL"/>
             <levellimit value="W" limit="MAX_KERNEL"/>
+            <rank min="3" max="3"/>
           </argument>
           <argument category="input" name="input_imag" type="in_out_t*" shape="[N,H,W]">
             <description>Imaginary part of the complex input. H,W must be powers of two.</description>
+            <rank min="3" max="3"/>
           </argument>
           <argument category="attribute" name="inverse" type="bool_t" shape="-">
             <description>false for forward FFT, true for inverse FFT</description>
           </argument>
           <argument category="output" name="output_real" type="in_out_t*" shape="[N,H,W]">
             <description>Real part of the complex output.</description>
+            <rank min="3" max="3"/>
           </argument>
           <argument category="output" name="output_imag" type="in_out_t*" shape="[N,H,W]">
             <description>Imaginary part of the complex output.</description>
+            <rank min="3" max="3"/>
           </argument>
         </arguments>
         <types>
@@ -335,12 +367,15 @@
         <arguments>
           <argument category="input" name="input" type="in_t*" shape="[N,IC]">
             <description>Input tensor</description>
+            <rank min="2" max="2"/>
           </argument>
           <argument category="attribute" name="weight" type="weight_t*" shape="[OC,IC]">
             <description>Weights</description>
+            <rank min="2" max="2"/>
           </argument>
           <argument category="attribute" name="bias" type="out_t*" shape="[OC]">
             <description>Per output channel bias data.</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="input_zp" type="in_t" shape="-">
             <description>Input tensor zero point. Must be zero for non-int8 types.</description>
@@ -350,6 +385,7 @@
           </argument>
           <argument category="output" name="output" type="out_t*" shape="[N,OC]">
             <description>Output tensor</description>
+            <rank min="2" max="2"/>
           </argument>
         </arguments>
         <types>
@@ -382,9 +418,11 @@
         <arguments>
           <argument category="input" name="A" type="in_t*" shape="[N,H,C]">
             <description>Input tensor A, N matrices of size HxC</description>
+            <rank min="3" max="3"/>
           </argument>
           <argument category="input" name="B" type="in_t*" shape="[N,C,W]">
             <description>Input tensor B, N matrices of size CxW</description>
+            <rank min="3" max="3"/>
           </argument>
           <argument category="attribute" name="A_zp" type="in_t" shape="-">
             <description>Input tensor A zero point. Must be zero for non-int8 types.</description>
@@ -394,6 +432,7 @@
           </argument>
           <argument category="output" name="output" type="out_t*" shape="[N,H,W]">
             <description>Output tensor, N matrices of size HxW</description>
+            <rank min="3" max="3"/>
           </argument>
         </arguments>
         <types>
@@ -424,16 +463,19 @@
         <arguments>
           <argument category="input" name="input" type="in_out_t*" shape="[N,IH,IW,C]">
             <description>Input tensor 4D</description>
+            <rank min="4" max="4"/>
           </argument>
           <argument category="attribute" name="kernel" type="int32_t*" shape="[2]">
             <description>[kernel_y, kernel_x]</description>
             <levellimit value="kernel_y" limit="MAX_KERNEL"/>
             <levellimit value="kernel_x" limit="MAX_KERNEL"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="stride" type="int32_t*" shape="[2]">
             <description>[stride_y, stride_x]</description>
             <levellimit value="stride_y" limit="MAX_STRIDE"/>
             <levellimit value="stride_x" limit="MAX_STRIDE"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="pad" type="int32_t*" shape="[4]">
             <description>[pad_top, pad_bottom, pad_left, pad_right]</description>
@@ -441,9 +483,11 @@
             <levellimit value="pad_bottom" limit="MAX_KERNEL"/>
             <levellimit value="pad_left"   limit="MAX_KERNEL"/>
             <levellimit value="pad_right"  limit="MAX_KERNEL"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="[N,OH,OW,C]">
             <description>Output tensor 4D</description>
+            <rank min="4" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -471,12 +515,15 @@
             <description>Real input. H,W must be powers of two.</description>
             <levellimit value="H" limit="MAX_KERNEL"/>
             <levellimit value="W" limit="MAX_KERNEL"/>
+            <rank min="3" max="3"/>
           </argument>
           <argument category="output" name="output_real" type="in_out_t*" shape="[N,H,W/2 + 1]">
             <description>Real part of the complex output</description>
+            <rank min="3" max="3"/>
           </argument>
           <argument category="output" name="output_imag" type="in_out_t*" shape="[N,H,W/2 + 1]">
             <description>Imaginary part of the complex output.</description>
+            <rank min="3" max="3"/>
           </argument>
         </arguments>
         <types>
@@ -492,14 +539,17 @@
         <arguments>
           <argument category="input" name="input" type="in_t*" shape="[N,IH,IW,IC]">
             <description>Input tensor</description>
+            <rank min="4" max="4"/>
           </argument>
           <argument category="input" name="weight" type="weight_t*" shape="[OC,KH,KW,IC]">
             <description>Weight kernel size KH x KW</description>
             <levellimit value="KH" limit="MAX_KERNEL"/>
             <levellimit value="KW" limit="MAX_KERNEL"/>
+            <rank min="4" max="4"/>
           </argument>
           <argument category="input" name="bias" type="out_t*" shape="[OC]">
             <description>Per output channel bias data.</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="out_pad" type="int32_t*" shape="[4]">
             <description>[out_pad_top, out_pad_bottom, out_pad_left, out_pad_right]</description>
@@ -507,14 +557,17 @@
             <levellimit value="out_pad_bottom" limit="MAX_KERNEL"/>
             <levellimit value="out_pad_left"   limit="MAX_KERNEL"/>
             <levellimit value="out_pad_right"  limit="MAX_KERNEL"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="stride" type="int32_t*" shape="[2]">
             <description>[stride_y, stride_x]</description>
             <levellimit value="stride_y" limit="MAX_STRIDE"/>
             <levellimit value="stride_x" limit="MAX_STRIDE"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="out_shape" type="int32_t*" shape="[4]">
             <description>[N,OH,OW,OC]</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="input_zp" type="in_t" shape="-">
             <description>Input tensor zero point. Must be zero for non-int8 types.</description>
@@ -524,6 +577,7 @@
           </argument>
           <argument category="output" name="output" type="out_t*" shape="[N,OH,OW,OC]">
             <description>Output tensor</description>
+            <rank min="4" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -559,6 +613,7 @@
           <argument category="input" name="input" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="min_val" type="in_out_t" shape="-">
             <description>Minimum clip value</description>
@@ -568,6 +623,7 @@
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type and shape as input</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -594,9 +650,11 @@
           <argument category="input" name="input" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type and shape as input</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -621,9 +679,11 @@
           <argument category="input" name="input" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type and shape as input</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -649,13 +709,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -680,9 +743,11 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="round" type="bool_t" shape="-">
             <description>If true then the shift is rounded</description>
@@ -690,6 +755,7 @@
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -704,13 +770,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -725,13 +794,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -746,13 +818,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -767,13 +842,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -786,13 +864,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -805,13 +886,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -826,13 +910,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -847,13 +934,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -866,13 +956,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -885,13 +978,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -916,13 +1012,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -947,9 +1046,11 @@
         <arguments>
           <argument category="input" name="input1" type="in_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input(MT)|attribute(BI,MI)" name="shift" type="uint6_t" shape="-">
             <description>Result right shift (int32_t data type only)</description>
@@ -957,6 +1058,7 @@
           <argument category="output" name="output" type="out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -984,13 +1086,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1014,13 +1119,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1045,13 +1153,16 @@
         <arguments>
           <argument category="input" name="input" type="in_t*" shape="shape">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input(MT)|attribute(BI,MI)" name="table" type="table_t*" shape="[TABLE_SIZE]">
             <description>Lookup table tensor</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="output" name="output" type="out_t*" shape="shape">
             <description>Output tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1071,9 +1182,11 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1099,9 +1212,11 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1117,9 +1232,11 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1144,9 +1261,11 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1160,9 +1279,11 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1187,9 +1308,11 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1214,9 +1337,11 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1241,9 +1366,11 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1257,6 +1384,7 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="input1_zp" type="in_out_t" shape="-">
             <description>Input 1 zero point. Must be zero for non-int8 types.</description>
@@ -1266,6 +1394,7 @@
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1294,9 +1423,11 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1321,9 +1452,11 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1349,16 +1482,20 @@
         <arguments>
           <argument category="input" name="input1" type="bool_t" shape="shape1">
             <description>Input selector tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_out_t*" shape="shape2">
             <description>Input value tensor if input1 is True</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input3" type="in_out_t*" shape="shape3">
             <description>Input value tensor if input1 is False</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type as input2 and input3, with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1388,13 +1525,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1420,13 +1560,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1452,13 +1595,16 @@
         <arguments>
           <argument category="input" name="input1" type="in_t*" shape="shape1">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="input" name="input2" type="in_t*" shape="shape2">
             <description>Input tensor with the same rank as input1</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="out_t*" shape="shape">
             <description>Output tensor with broadcast shape if necessary</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1485,13 +1631,15 @@
         <name>REDUCE_ALL</name>
         <arguments>
           <argument category="input" name="input" type="in_out_t*" shape="shape1">
-            <description>Input tensor with rank from 1 to 4</description>
+            <description>Input tensor</description>
+            <rank min="1" max="4"/>
           </argument>
           <argument category="attribute" name="axis" type="int32_t" shape="-">
             <description>Axis to reduce, in range from 0 to rank(shape1)-1</description>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor. Same rank as the input tensor.</description>
+            <rank min="1" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -1503,13 +1651,15 @@
         <name>REDUCE_ANY</name>
         <arguments>
           <argument category="input" name="input" type="in_out_t*" shape="shape1">
-            <description>Input tensor with rank from 1 to 4</description>
+            <description>Input tensor</description>
+            <rank min="1" max="4"/>
           </argument>
           <argument category="attribute" name="axis" type="int32_t" shape="-">
             <description>Axis to reduce, in range from 0 to rank(shape1)-1</description>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor. Same rank as the input tensor.</description>
+            <rank min="1" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -1521,13 +1671,15 @@
         <name>REDUCE_MAX</name>
         <arguments>
           <argument category="input" name="input" type="in_out_t*" shape="shape1">
-            <description>Input tensor with rank from 1 to 4</description>
+            <description>Input tensor</description>
+            <rank min="1" max="4"/>
           </argument>
           <argument category="attribute" name="axis" type="int32_t" shape="-">
             <description>Axis to reduce, in range from 0 to rank(shape1)-1</description>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor. Same rank as the input tensor.</description>
+            <rank min="1" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -1553,13 +1705,15 @@
         <name>REDUCE_MIN</name>
         <arguments>
           <argument category="input" name="input" type="in_out_t*" shape="shape1">
-            <description>Input tensor with rank from 1 to 4</description>
+            <description>Input tensor</description>
+            <rank min="1" max="4"/>
           </argument>
           <argument category="attribute" name="axis" type="int32_t" shape="-">
             <description>Axis to reduce, in range from 0 to rank(shape1)-1</description>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor. Same rank as the input tensor.</description>
+            <rank min="1" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -1585,13 +1739,15 @@
         <name>REDUCE_PRODUCT</name>
         <arguments>
           <argument category="input" name="input" type="in_out_t*" shape="shape1">
-            <description>Input tensor with rank from 1 to 4</description>
+            <description>Input tensor</description>
+            <rank min="1" max="4"/>
           </argument>
           <argument category="attribute" name="axis" type="int32_t" shape="-">
             <description>Axis to reduce, in range from 0 to rank(shape1)-1</description>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor. Same rank as the input tensor.</description>
+            <rank min="1" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -1615,12 +1771,14 @@
         <arguments>
           <argument category="input" name="input" type="in_out_t*" shape="shape1">
             <description>Input tensor with rank from 1 to 4</description>
+            <rank min="1" max="4"/>
           </argument>
           <argument category="attribute" name="axis" type="int32_t" shape="-">
             <description>Axis to reduce, in range from 0 to rank(shape1)-1</description>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor. Same rank as the input tensor.</description>
+            <rank min="1" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -1648,6 +1806,7 @@
           <!-- FIXME express list of tensors better -->
           <argument category="input" name="input1" type="in_out_t*" shape="shapes1[]">
             <description>List of input tensors. All inputs must have the same rank and data type</description>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="axis" type="int32_t" shape="-">
             <description>Axis along which concatenation is to occur, in range from 0 to rank(shape)-1</description>
@@ -1655,6 +1814,7 @@
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1681,10 +1841,12 @@
         <name>PAD</name>
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
-            <description>Input tensor with minimum rank of one.</description>
+            <description>Input tensor</description>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="padding" type="int32_t" shape="[rank(shape1),2]">
             <description>Number of pad elements at the start and end of each dimension</description>
+            <rank min="2" max="2"/>
           </argument>
           <argument category="attribute" name="pad_const" type="in_out_t" shape="-">
             <description>Constant value to be used as padding</description>
@@ -1692,6 +1854,7 @@
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type as the input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1720,13 +1883,16 @@
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
             <description>Input tensor</description>
             <levellimit value="rank(shape1)" limit="MAX_RANK"/>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="new_shape" type="int32_t" shape="[rank(shape)]">
             <description>List of values, with each element giving the size of the result tensor for the given dimension. At most one dimension may be given as -1 to automatically calculate the dimension size.</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, size as the input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1753,14 +1919,16 @@
         <name>REVERSE</name>
         <arguments>
           <argument category="input" name="input" type="in_out_t*" shape="shape">
-            <description>Input tensor with minimum rank of one.</description>
+            <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="axis" type="int32_t" shape="-">
             <description>Axis to reverse, in range from 0 to rank(shape)-1</description>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor. Same shape as input tensor</description>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1787,18 +1955,22 @@
         <name>SLICE</name>
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
-            <description>Input tensor with minimum rank of one.</description>
+            <description>Input tensor</description>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="start" type="int32_t" shape="[rank(shape1)]">
             <description>List of integer coordinates, of length equal to the rank of input1. Start coordinate for slicing.</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="size" type="int32_t" shape="[rank(shape1)]">
             <description>List of integer size values, of length equal to the rank of input1. Size of the input to be
 used.</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type as the input tensor</description>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1825,14 +1997,17 @@ used.</description>
         <name>TILE</name>
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
-            <description>Input tensor with minimum rank of one.</description>
+            <description>Input tensor</description>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="multiples" type="int32_t" shape="[rank(shape1)]">
             <description>Number of times to replicate input1 in each dimension</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, rank as the input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1859,14 +2034,17 @@ used.</description>
         <name>TRANSPOSE</name>
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape1">
-            <description>Input tensor with minimum rank of one.</description>
+            <description>Input tensor</description>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="perms" type="int32_t" shape="[rank(shape1)]">
             <description>List of integers of length equal to the rank of input1. Values must be valid dimensions within shape1, and may not be repeated.</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of same type, rank as the input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -1896,12 +2074,15 @@ used.</description>
         <arguments>
           <argument category="input" name="values" type="in_out_t*" shape="[N,K,C]">
             <description>3D value tensor</description>
+            <rank min="3" max="3"/>
           </argument>
           <argument category="input" name="indices" type="index_t*" shape="[N,W]">
             <description>2D index tensor</description>
+            <rank min="2" max="2"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="[N,W,C]">
             <description>3D output tensor</description>
+            <rank min="3" max="3"/>
           </argument>
         </arguments>
         <types>
@@ -1928,15 +2109,19 @@ used.</description>
         <arguments>
           <argument category="input" name="values_in" type="in_out_t*" shape="[N,K,C]">
             <description>3D values in tensor</description>
+            <rank min="3" max="3"/>
           </argument>
           <argument category="input" name="indices" type="index_t*" shape="[N,W]">
             <description>2D index tensor</description>
+            <rank min="2" max="2"/>
           </argument>
           <argument category="input" name="input" type="in_out_t*" shape="[N,W,C]">
             <description>3D input tensor</description>
+            <rank min="3" max="3"/>
           </argument>
           <argument category="output" name="values_out" type="in_out_t*" shape="[N,K,C]">
             <description>3D output tensor</description>
+            <rank min="3" max="3"/>
           </argument>
         </arguments>
         <types>
@@ -1965,23 +2150,28 @@ used.</description>
         <arguments>
           <argument category="input" name="input" type="in_t*" shape="[N,IH,IW,C]">
             <description>Input tensor</description>
+            <rank min="4" max="4"/>
           </argument>
           <argument category="attribute" name="scale" type="int16_t*" shape="[4]">
             <description>[scale_y_n, scale_y_d, scale_x_n, scale_x_d]</description>
             <levellimit value="scale_y_n/scale_y_d" limit="MAX_SCALE"/>
             <levellimit value="scale_x_n/scale_x_d" limit="MAX_SCALE"/>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="offset" type="int16_t*" shape="[2]">
             <description>[offset_y, offset_x]</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="border" type="int16_t*" shape="[2]">
             <description>[border_y, border_x]</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="mode" type="resize_mode_t" shape="-">
             <description>BILINEAR or NEAREST</description>
           </argument>
           <argument category="output" name="output" type="out_t*" shape="[N,OH,OW,C]">
             <description>Output tensor</description>
+            <rank min="4" max="4"/>
           </argument>
         </arguments>
         <types>
@@ -2014,9 +2204,11 @@ used.</description>
           <argument category="input" name="input" type="in_t" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="out_t" shape="shape">
             <description>Output tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -2130,9 +2322,11 @@ used.</description>
           <argument category="input" name="input" type="in_t" shape="shape">
             <description>Input tensor</description>
             <levellimit value="rank(shape)" limit="MAX_RANK"/>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="out_t" shape="shape">
             <description>Output tensor with the same shape as input</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="input_zp" type="in_t" shape="-">
             <description>Input tensor zero point. Must be zero for non-int8 types.</description>
@@ -2142,9 +2336,11 @@ used.</description>
           </argument>
           <argument category="input(MT)|attribute(BI,MI)" name="multiplier" type="mul_t*" shape="[NC]">
             <description>Scaling multiplier array</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="input(MT)|attribute(BI,MI)" name="shift" type="uint6_t*" shape="[NC]">
             <description>Scaling shift array</description>
+            <rank min="1" max="1"/>
           </argument>
           <argument category="attribute" name="scale32" type="bool_t" shape="-">
             <description>if (scale32) mul_t=int32_t else mul_t=int16_t</description>
@@ -2186,9 +2382,11 @@ used.</description>
         <arguments>
           <argument category="attribute" name="values" type="out_t*" shape="shape">
             <description>Constant values</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="out_t*" shape="shape">
             <description>Output tensor of the same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -2217,9 +2415,11 @@ used.</description>
         <arguments>
           <argument category="input" name="input1" type="in_out_t*" shape="shape">
             <description>Input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
           <argument category="output" name="output" type="in_out_t*" shape="shape">
             <description>Output tensor of the same type, size as the input tensor</description>
+            <rank min="0" max="MAX_RANK"/>
           </argument>
         </arguments>
         <types>
@@ -2252,6 +2452,7 @@ used.</description>
           </argument>
           <argument category="input" name="condition" type="bool_t*" shape="shape">
             <description>Input condition as a size 1 tensor</description>
+            <rank min="1" max="MAX_RANK"/>
           </argument>
           <argument category="attribute" name="then_graph" type="tosa_graph_t" shape="-">
             <description>TOSA graph to execute if condition is true</description>
diff --git a/tosa.xsd b/tosa.xsd
index ca99a8e..fe08885 100644
--- a/tosa.xsd
+++ b/tosa.xsd
@@ -125,6 +125,29 @@
   </xs:complexType>
 </xs:element>
 
+<!--- Valid values for the rank choices, either an integer or a string
+      starting with MAX_RANK (to allow things like MAX_RANK - 1)
+-->
+<xs:simpleType name="validRank">
+  <xs:union>
+    <xs:simpleType>
+      <xs:restriction base="xs:integer"/>
+    </xs:simpleType>
+    <xs:simpleType>
+      <xs:restriction base="xs:string">
+        <xs:pattern value="MAX_RANK.*"/>
+      </xs:restriction>
+    </xs:simpleType>
+  </xs:union>
+</xs:simpleType>
+
+<xs:element name="rank">
+  <xs:complexType>
+    <xs:attribute name="min" type="validRank" use="required"/>
+    <xs:attribute name="max" type="validRank" use="required"/>
+  </xs:complexType>
+</xs:element>
+
 <!-- TODO pattern for attribute name -->
 <!-- TODO enumerations/patterns for attribute type -->
 <!-- TODO enumerations/patterns for attribute shape -->
@@ -152,6 +175,7 @@
     <xs:sequence>
       <xs:element name="description" type="xs:string"/>
       <xs:element ref="levellimit" minOccurs="0" maxOccurs="unbounded"/>
+      <xs:element ref="rank" minOccurs="0" maxOccurs="1"/>
     </xs:sequence>
     <xs:attribute name="category" type="argumentcategory" use="required"/>
     <xs:attribute name="name" type="xs:string" use="required"/>