chore: rm recip_int helper (#733)

---------

Co-authored-by: Alexander Camuto <45801863+alexander-camuto@users.noreply.github.com>

.github/workflows/rust.yml

@@ -575,7 +575,7 @@ jobs:
       - name: Install Anvil
         run: cargo install --git https://github.com/foundry-rs/foundry --rev b320f350156a0fb15c2eb13dc380deb2367c4474 --profile local --locked anvil --force
       - name: Build python ezkl
-        run: source .env/bin/activate; maturin develop --features python-bindings --release
+        run: source .env/bin/activate; unset CONDA_PREFIX; maturin develop --features python-bindings --release
       - name: Run pytest
         run: source .env/bin/activate; pytest -vv
 
@@ -599,7 +599,7 @@ jobs:
       - name: Setup Virtual Env and Install python dependencies
         run: python -m venv .env; source .env/bin/activate; pip install -r requirements.txt;
       - name: Build python ezkl
-        run: source .env/bin/activate; maturin develop --features python-bindings --release
+        run: source .env/bin/activate; unset CONDA_PREFIX; maturin develop --features python-bindings --release
       - name: Div rebase
         run: source .env/bin/activate; cargo nextest run --release --verbose tests::accuracy_measurement_div_rebase_
       - name: Public inputs
@@ -634,7 +634,7 @@ jobs:
       - name: Setup Virtual Env and Install python dependencies
         run: python -m venv .env; source .env/bin/activate; pip install -r requirements.txt;
       - name: Build python ezkl
-        run: source .env/bin/activate; maturin develop --features python-bindings --release
+        run: source .env/bin/activate; unset CONDA_PREFIX; maturin develop --features python-bindings --release
       # - name: authenticate-kaggle-cli
       #   shell: bash
       #   env:

Cargo.lock

@@ -2263,7 +2263,7 @@ dependencies = [
 [[package]]
 name = "halo2_gadgets"
 version = "0.2.0"
-source = "git+https://github.com/zkonduit/halo2?branch=main#fe7522c85c8c434d7ceb9f663b0fb51909b9994f"
+source = "git+https://github.com/zkonduit/halo2?branch=main#4d7e6ddac661283e2b73c551b2e8f0011cedd50f"
 dependencies = [
  "arrayvec 0.7.4",
  "bitvec 1.0.1",
@@ -2280,7 +2280,7 @@ dependencies = [
 [[package]]
 name = "halo2_proofs"
 version = "0.3.0"
-source = "git+https://github.com/zkonduit/halo2?branch=main#fe7522c85c8c434d7ceb9f663b0fb51909b9994f"
+source = "git+https://github.com/zkonduit/halo2?branch=main#4d7e6ddac661283e2b73c551b2e8f0011cedd50f"
 dependencies = [
  "blake2b_simd",
  "env_logger",

examples/notebooks/mnist_gan_proof_splitting.ipynb

@@ -343,7 +343,6 @@
                 "         compiled_model_path,\n",
                 "         vk_path,\n",
                 "         pk_path,\n",
-                "         compress_selectors=True,\n",
                 "      )\n",
                 "\n",
                 "    assert res == True\n",

examples/notebooks/tictactoe_autoencoder.ipynb

@@ -633,7 +633,7 @@
                 "json.dump(data, open(cal_path, 'w'))\n",
                 "\n",
                 "\n",
-                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\", scales = [4])"
+                "ezkl.calibrate_settings(cal_path, model_path, settings_path, \"resources\", scales = [11])"
             ]
         },
         {
@@ -664,7 +664,6 @@
                 "    compiled_model_path,\n",
                 "    vk_path,\n",
                 "    pk_path,\n",
-                "    \n",
                 ")"
             ]
         },

src/circuit/ops/base.rs

@@ -12,15 +12,11 @@ pub enum BaseOp {
     DotInit,
     CumProdInit,
     CumProd,
-    Identity,
     Add,
     Mult,
     Sub,
     SumInit,
     Sum,
-    Neg,
-    Range { tol: i32 },
-    IsZero,
     IsBoolean,
 }
 
@@ -36,12 +32,8 @@ impl BaseOp {
         let (a, b) = inputs;
         match &self {
             BaseOp::Add => a + b,
-            BaseOp::Identity => b,
-            BaseOp::Neg => -b,
             BaseOp::Sub => a - b,
             BaseOp::Mult => a * b,
-            BaseOp::Range { .. } => b,
-            BaseOp::IsZero => b,
             BaseOp::IsBoolean => b,
             _ => panic!("nonaccum_f called on accumulating operation"),
         }
@@ -73,19 +65,15 @@ impl BaseOp {
     /// display func
     pub fn as_str(&self) -> &'static str {
         match self {
-            BaseOp::Identity => "IDENTITY",
             BaseOp::Dot => "DOT",
             BaseOp::DotInit => "DOTINIT",
             BaseOp::CumProdInit => "CUMPRODINIT",
             BaseOp::CumProd => "CUMPROD",
             BaseOp::Add => "ADD",
-            BaseOp::Neg => "NEG",
             BaseOp::Sub => "SUB",
             BaseOp::Mult => "MULT",
             BaseOp::Sum => "SUM",
             BaseOp::SumInit => "SUMINIT",
-            BaseOp::Range { .. } => "RANGE",
-            BaseOp::IsZero => "ISZERO",
             BaseOp::IsBoolean => "ISBOOLEAN",
         }
     }
@@ -93,8 +81,6 @@ impl BaseOp {
     /// Returns the range of the query offset for this operation.
     pub fn query_offset_rng(&self) -> (i32, usize) {
         match self {
-            BaseOp::Identity => (0, 1),
-            BaseOp::Neg => (0, 1),
             BaseOp::DotInit => (0, 1),
             BaseOp::Dot => (-1, 2),
             BaseOp::CumProd => (-1, 2),
@@ -104,8 +90,6 @@ impl BaseOp {
             BaseOp::Mult => (0, 1),
             BaseOp::Sum => (-1, 2),
             BaseOp::SumInit => (0, 1),
-            BaseOp::Range { .. } => (0, 1),
-            BaseOp::IsZero => (0, 1),
             BaseOp::IsBoolean => (0, 1),
         }
     }
@@ -113,8 +97,6 @@ impl BaseOp {
     /// Returns the number of inputs for this operation.
     pub fn num_inputs(&self) -> usize {
         match self {
-            BaseOp::Identity => 1,
-            BaseOp::Neg => 1,
             BaseOp::DotInit => 2,
             BaseOp::Dot => 2,
             BaseOp::CumProdInit => 1,
@@ -124,8 +106,6 @@ impl BaseOp {
             BaseOp::Mult => 2,
             BaseOp::Sum => 1,
             BaseOp::SumInit => 1,
-            BaseOp::Range { .. } => 1,
-            BaseOp::IsZero => 0,
             BaseOp::IsBoolean => 0,
         }
     }
@@ -133,19 +113,15 @@ impl BaseOp {
     /// Returns the number of outputs for this operation.
     pub fn constraint_idx(&self) -> usize {
         match self {
-            BaseOp::Identity => 0,
-            BaseOp::Neg => 0,
             BaseOp::DotInit => 0,
             BaseOp::Dot => 1,
             BaseOp::Add => 0,
             BaseOp::Sub => 0,
             BaseOp::Mult => 0,
-            BaseOp::Range { .. } => 0,
             BaseOp::Sum => 1,
             BaseOp::SumInit => 0,
             BaseOp::CumProd => 1,
             BaseOp::CumProdInit => 0,
-            BaseOp::IsZero => 0,
             BaseOp::IsBoolean => 0,
         }
     }

src/circuit/ops/chip.rs

@@ -188,31 +188,158 @@ impl<'source> FromPyObject<'source> for Tolerance {
     }
 }
 
+/// A struct representing the selectors for the dynamic lookup tables
+#[derive(Clone, Debug, Default)]
+pub struct DynamicLookups {
+    /// [Selector]s generated when configuring the layer. We use a [BTreeMap] as we expect to configure many dynamic lookup ops.
+    pub lookup_selectors: BTreeMap<(usize, usize), Selector>,
+    /// Selectors for the dynamic lookup tables
+    pub table_selectors: Vec<Selector>,
+    /// Inputs:
+    pub inputs: Vec<VarTensor>,
+    /// tables
+    pub tables: Vec<VarTensor>,
+}
+
+impl DynamicLookups {
+    /// Returns a new [DynamicLookups] with no inputs, no selectors, and no tables.
+    pub fn dummy(col_size: usize, num_inner_cols: usize) -> Self {
+        let dummy_var = VarTensor::dummy(col_size, num_inner_cols);
+        let single_col_dummy_var = VarTensor::dummy(col_size, 1);
+
+        Self {
+            lookup_selectors: BTreeMap::new(),
+            table_selectors: vec![],
+            inputs: vec![dummy_var.clone(), dummy_var.clone(), dummy_var.clone()],
+            tables: vec![
+                single_col_dummy_var.clone(),
+                single_col_dummy_var.clone(),
+                single_col_dummy_var.clone(),
+            ],
+        }
+    }
+}
+
+/// A struct representing the selectors for the dynamic lookup tables
+#[derive(Clone, Debug, Default)]
+pub struct Shuffles {
+    /// [Selector]s generated when configuring the layer. We use a [BTreeMap] as we expect to configure many dynamic lookup ops.
+    pub input_selectors: BTreeMap<(usize, usize), Selector>,
+    /// Selectors for the dynamic lookup tables
+    pub reference_selectors: Vec<Selector>,
+    /// Inputs:
+    pub inputs: Vec<VarTensor>,
+    /// tables
+    pub references: Vec<VarTensor>,
+}
+
+impl Shuffles {
+    /// Returns a new [DynamicLookups] with no inputs, no selectors, and no tables.
+    pub fn dummy(col_size: usize, num_inner_cols: usize) -> Self {
+        let dummy_var = VarTensor::dummy(col_size, num_inner_cols);
+        let single_col_dummy_var = VarTensor::dummy(col_size, 1);
+
+        Self {
+            input_selectors: BTreeMap::new(),
+            reference_selectors: vec![],
+            inputs: vec![dummy_var.clone(), dummy_var.clone()],
+            references: vec![single_col_dummy_var.clone(), single_col_dummy_var.clone()],
+        }
+    }
+}
+
+/// A struct representing the selectors for the static lookup tables
+#[derive(Clone, Debug, Default)]
+pub struct StaticLookups<F: PrimeField + TensorType + PartialOrd> {
+    /// [Selector]s generated when configuring the layer. We use a [BTreeMap] as we expect to configure many dynamic lookup ops.
+    pub selectors: BTreeMap<(LookupOp, usize, usize), Selector>,
+    /// Selectors for the dynamic lookup tables
+    pub tables: BTreeMap<LookupOp, Table<F>>,
+    ///
+    pub index: VarTensor,
+    ///
+    pub output: VarTensor,
+    ///
+    pub input: VarTensor,
+}
+
+impl<F: PrimeField + TensorType + PartialOrd> StaticLookups<F> {
+    /// Returns a new [StaticLookups] with no inputs, no selectors, and no tables.
+    pub fn dummy(col_size: usize, num_inner_cols: usize) -> Self {
+        let dummy_var = VarTensor::dummy(col_size, num_inner_cols);
+
+        Self {
+            selectors: BTreeMap::new(),
+            tables: BTreeMap::new(),
+            index: dummy_var.clone(),
+            output: dummy_var.clone(),
+            input: dummy_var,
+        }
+    }
+}
+
+/// A struct representing the selectors for custom gates
+#[derive(Clone, Debug, Default)]
+pub struct CustomGates {
+    /// the inputs to the accumulated operations.
+    pub inputs: Vec<VarTensor>,
+    /// the (currently singular) output of the accumulated operations.
+    pub output: VarTensor,
+    /// selector
+    pub selectors: BTreeMap<(BaseOp, usize, usize), Selector>,
+}
+
+impl CustomGates {
+    /// Returns a new [CustomGates] with no inputs, no selectors, and no tables.
+    pub fn dummy(col_size: usize, num_inner_cols: usize) -> Self {
+        let dummy_var = VarTensor::dummy(col_size, num_inner_cols);
+        Self {
+            inputs: vec![dummy_var.clone(), dummy_var.clone()],
+            output: dummy_var,
+            selectors: BTreeMap::new(),
+        }
+    }
+}
+
+/// A struct representing the selectors for the range checks
+#[derive(Clone, Debug, Default)]
+pub struct RangeChecks<F: PrimeField + TensorType + PartialOrd> {
+    /// [Selector]s generated when configuring the layer. We use a [BTreeMap] as we expect to configure many dynamic lookup ops.
+    pub selectors: BTreeMap<(Range, usize, usize), Selector>,
+    /// Selectors for the dynamic lookup tables
+    pub ranges: BTreeMap<Range, RangeCheck<F>>,
+    ///
+    pub index: VarTensor,
+    ///
+    pub input: VarTensor,
+}
+
+impl<F: PrimeField + TensorType + PartialOrd> RangeChecks<F> {
+    /// Returns a new [RangeChecks] with no inputs, no selectors, and no tables.
+    pub fn dummy(col_size: usize, num_inner_cols: usize) -> Self {
+        let dummy_var = VarTensor::dummy(col_size, num_inner_cols);
+        Self {
+            selectors: BTreeMap::new(),
+            ranges: BTreeMap::new(),
+            index: dummy_var.clone(),
+            input: dummy_var,
+        }
+    }
+}
+
 /// Configuration for an accumulated arg.
 #[derive(Clone, Debug, Default)]
 pub struct BaseConfig<F: PrimeField + TensorType + PartialOrd> {
-    /// the inputs to the accumulated operations.
-    pub inputs: Vec<VarTensor>,
-    /// the VarTensor reserved for lookup operations (could be an element of inputs)
-    /// Note that you should be careful to ensure that the lookup_input is not simultaneously assigned to by other non-lookup operations eg. in the case of composite ops.
-    pub lookup_input: VarTensor,
-    /// the (currently singular) output of the accumulated operations.
-    pub output: VarTensor,
-    /// the VarTensor reserved for lookup operations (could be an element of inputs or the same as output)
-    /// Note that you should be careful to ensure that the lookup_output is not simultaneously assigned to by other non-lookup operations eg. in the case of composite ops.
-    pub lookup_output: VarTensor,
-    ///
-    pub lookup_index: VarTensor,
-    /// [Selector]s generated when configuring the layer. We use a [BTreeMap] as we expect to configure [BaseOp].
-    pub selectors: BTreeMap<(BaseOp, usize, usize), Selector>,
-    /// [Selector]s generated when configuring the layer. We use a [BTreeMap] as we expect to configure many lookup ops.
-    pub lookup_selectors: BTreeMap<(LookupOp, usize, usize), Selector>,
-    ///
-    pub tables: BTreeMap<LookupOp, Table<F>>,
-    ///
-    pub range_checks: BTreeMap<Range, RangeCheck<F>>,
-    /// [Selector]s generated when configuring the layer. We use a [BTreeMap] as we expect to configure many lookup ops.
-    pub range_check_selectors: BTreeMap<(Range, usize, usize), Selector>,
+    /// Custom gates
+    pub custom_gates: CustomGates,
+    /// StaticLookups
+    pub static_lookups: StaticLookups<F>,
+    /// [Selector]s for the dynamic lookup tables
+    pub dynamic_lookups: DynamicLookups,
+    /// [Selector]s for the range checks
+    pub range_checks: RangeChecks<F>,
+    /// [Selector]s for the shuffles
+    pub shuffles: Shuffles,
     /// Activate sanity checks
     pub check_mode: CheckMode,
     _marker: PhantomData<F>,
@@ -221,19 +348,12 @@ pub struct BaseConfig<F: PrimeField + TensorType + PartialOrd> {
 impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
     /// Returns a new [BaseConfig] with no inputs, no selectors, and no tables.
     pub fn dummy(col_size: usize, num_inner_cols: usize) -> Self {
-        let dummy_var = VarTensor::dummy(col_size, num_inner_cols);
-
         Self {
-            inputs: vec![dummy_var.clone(), dummy_var.clone()],
-            lookup_input: dummy_var.clone(),
-            output: dummy_var.clone(),
-            lookup_output: dummy_var.clone(),
-            lookup_index: dummy_var,
-            selectors: BTreeMap::new(),
-            lookup_selectors: BTreeMap::new(),
-            range_check_selectors: BTreeMap::new(),
-            tables: BTreeMap::new(),
-            range_checks: BTreeMap::new(),
+            custom_gates: CustomGates::dummy(col_size, num_inner_cols),
+            static_lookups: StaticLookups::dummy(col_size, num_inner_cols),
+            dynamic_lookups: DynamicLookups::dummy(col_size, num_inner_cols),
+            shuffles: Shuffles::dummy(col_size, num_inner_cols),
+            range_checks: RangeChecks::dummy(col_size, num_inner_cols),
             check_mode: CheckMode::SAFE,
             _marker: PhantomData,
         }
@@ -266,10 +386,7 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
             for j in 0..output.num_inner_cols() {
                 nonaccum_selectors.insert((BaseOp::Add, i, j), meta.selector());
                 nonaccum_selectors.insert((BaseOp::Sub, i, j), meta.selector());
-                nonaccum_selectors.insert((BaseOp::Neg, i, j), meta.selector());
                 nonaccum_selectors.insert((BaseOp::Mult, i, j), meta.selector());
-                nonaccum_selectors.insert((BaseOp::IsZero, i, j), meta.selector());
-                nonaccum_selectors.insert((BaseOp::Identity, i, j), meta.selector());
                 nonaccum_selectors.insert((BaseOp::IsBoolean, i, j), meta.selector());
             }
         }
@@ -314,12 +431,6 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
 
                         vec![(output.clone()) * (output.clone() - Expression::Constant(F::from(1)))]
                     }
-                    BaseOp::IsZero => {
-                        let expected_output: Tensor<Expression<F>> = output
-                            .query_rng(meta, *block_idx, *inner_col_idx, 0, 1)
-                            .expect("non accum: output query failed");
-                        vec![expected_output[base_op.constraint_idx()].clone()]
-                    }
                     _ => {
                         let expected_output: Tensor<Expression<F>> = output
                             .query_rng(meta, *block_idx, *inner_col_idx, rotation_offset, rng)
@@ -373,16 +484,15 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
             .collect();
 
         Self {
-            selectors,
-            lookup_selectors: BTreeMap::new(),
-            range_check_selectors: BTreeMap::new(),
-            inputs: inputs.to_vec(),
-            lookup_input: VarTensor::Empty,
-            lookup_output: VarTensor::Empty,
-            lookup_index: VarTensor::Empty,
-            tables: BTreeMap::new(),
-            range_checks: BTreeMap::new(),
-            output: output.clone(),
+            custom_gates: CustomGates {
+                inputs: inputs.to_vec(),
+                output: output.clone(),
+                selectors,
+            },
+            static_lookups: StaticLookups::default(),
+            dynamic_lookups: DynamicLookups::default(),
+            shuffles: Shuffles::default(),
+            range_checks: RangeChecks::default(),
             check_mode,
             _marker: PhantomData,
         }
@@ -403,8 +513,6 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
     where
         F: Field,
     {
-        let mut selectors = BTreeMap::new();
-
         if !index.is_advice() {
             return Err("wrong input type for lookup index".into());
         }
@@ -417,9 +525,9 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
 
         // we borrow mutably twice so we need to do this dance
 
-        let table = if !self.tables.contains_key(nl) {
+        let table = if !self.static_lookups.tables.contains_key(nl) {
             // as all tables have the same input we see if there's another table who's input we can reuse
-            let table = if let Some(table) = self.tables.values().next() {
+            let table = if let Some(table) = self.static_lookups.tables.values().next() {
                 Table::<F>::configure(
                     cs,
                     lookup_range,
@@ -430,7 +538,7 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
             } else {
                 Table::<F>::configure(cs, lookup_range, logrows, nl, None)
             };
-            self.tables.insert(nl.clone(), table.clone());
+            self.static_lookups.tables.insert(nl.clone(), table.clone());
             table
         } else {
             return Ok(());
@@ -514,26 +622,193 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
                         res
                     });
                 }
-                selectors.insert((nl.clone(), x, y), multi_col_selector);
+                self.static_lookups
+                    .selectors
+                    .insert((nl.clone(), x, y), multi_col_selector);
             }
         }
-        self.lookup_selectors.extend(selectors);
         // if we haven't previously initialized the input/output, do so now
-        if let VarTensor::Empty = self.lookup_input {
+        if let VarTensor::Empty = self.static_lookups.input {
             debug!("assigning lookup input");
-            self.lookup_input = input.clone();
+            self.static_lookups.input = input.clone();
         }
-        if let VarTensor::Empty = self.lookup_output {
+        if let VarTensor::Empty = self.static_lookups.output {
             debug!("assigning lookup output");
-            self.lookup_output = output.clone();
+            self.static_lookups.output = output.clone();
         }
-        if let VarTensor::Empty = self.lookup_index {
+        if let VarTensor::Empty = self.static_lookups.index {
             debug!("assigning lookup index");
-            self.lookup_index = index.clone();
+            self.static_lookups.index = index.clone();
         }
         Ok(())
     }
 
+    /// Configures and creates lookup selectors
+    #[allow(clippy::too_many_arguments)]
+    pub fn configure_dynamic_lookup(
+        &mut self,
+        cs: &mut ConstraintSystem<F>,
+        lookups: &[VarTensor; 3],
+        tables: &[VarTensor; 3],
+    ) -> Result<(), Box<dyn Error>>
+    where
+        F: Field,
+    {
+        for l in lookups.iter() {
+            if !l.is_advice() {
+                return Err("wrong input type for dynamic lookup".into());
+            }
+        }
+
+        for t in tables.iter() {
+            if !t.is_advice() || t.num_blocks() > 1 || t.num_inner_cols() > 1 {
+                return Err("wrong table type for dynamic lookup".into());
+            }
+        }
+
+        let one = Expression::Constant(F::ONE);
+
+        let s_ltable = cs.complex_selector();
+
+        for x in 0..lookups[0].num_blocks() {
+            for y in 0..lookups[0].num_inner_cols() {
+                let s_lookup = cs.complex_selector();
+
+                cs.lookup_any("lookup", |cs| {
+                    let s_lookupq = cs.query_selector(s_lookup);
+                    let mut expression = vec![];
+                    let s_ltableq = cs.query_selector(s_ltable);
+                    let mut lookup_queries = vec![one.clone()];
+
+                    for lookup in lookups {
+                        lookup_queries.push(match lookup {
+                            VarTensor::Advice { inner: advices, .. } => {
+                                cs.query_advice(advices[x][y], Rotation(0))
+                            }
+                            _ => unreachable!(),
+                        });
+                    }
+
+                    let mut table_queries = vec![one.clone()];
+                    for table in tables {
+                        table_queries.push(match table {
+                            VarTensor::Advice { inner: advices, .. } => {
+                                cs.query_advice(advices[0][0], Rotation(0))
+                            }
+                            _ => unreachable!(),
+                        });
+                    }
+
+                    let lhs = lookup_queries.into_iter().map(|c| c * s_lookupq.clone());
+                    let rhs = table_queries.into_iter().map(|c| c * s_ltableq.clone());
+                    expression.extend(lhs.zip(rhs));
+
+                    expression
+                });
+                self.dynamic_lookups
+                    .lookup_selectors
+                    .entry((x, y))
+                    .or_insert(s_lookup);
+            }
+        }
+        self.dynamic_lookups.table_selectors.push(s_ltable);
+
+        // if we haven't previously initialized the input/output, do so now
+        if self.dynamic_lookups.tables.is_empty() {
+            debug!("assigning dynamic lookup table");
+            self.dynamic_lookups.tables = tables.to_vec();
+        }
+        if self.dynamic_lookups.inputs.is_empty() {
+            debug!("assigning dynamic lookup input");
+            self.dynamic_lookups.inputs = lookups.to_vec();
+        }
+
+        Ok(())
+    }
+
+    /// Configures and creates lookup selectors
+    #[allow(clippy::too_many_arguments)]
+    pub fn configure_shuffles(
+        &mut self,
+        cs: &mut ConstraintSystem<F>,
+        inputs: &[VarTensor; 2],
+        references: &[VarTensor; 2],
+    ) -> Result<(), Box<dyn Error>>
+    where
+        F: Field,
+    {
+        for l in inputs.iter() {
+            if !l.is_advice() {
+                return Err("wrong input type for dynamic lookup".into());
+            }
+        }
+
+        for t in references.iter() {
+            if !t.is_advice() || t.num_blocks() > 1 || t.num_inner_cols() > 1 {
+                return Err("wrong table type for dynamic lookup".into());
+            }
+        }
+
+        let one = Expression::Constant(F::ONE);
+
+        let s_reference = cs.complex_selector();
+
+        for x in 0..inputs[0].num_blocks() {
+            for y in 0..inputs[0].num_inner_cols() {
+                let s_input = cs.complex_selector();
+
+                cs.lookup_any("lookup", |cs| {
+                    let s_inputq = cs.query_selector(s_input);
+                    let mut expression = vec![];
+                    let s_referenceq = cs.query_selector(s_reference);
+                    let mut input_queries = vec![one.clone()];
+
+                    for input in inputs {
+                        input_queries.push(match input {
+                            VarTensor::Advice { inner: advices, .. } => {
+                                cs.query_advice(advices[x][y], Rotation(0))
+                            }
+                            _ => unreachable!(),
+                        });
+                    }
+
+                    let mut ref_queries = vec![one.clone()];
+                    for reference in references {
+                        ref_queries.push(match reference {
+                            VarTensor::Advice { inner: advices, .. } => {
+                                cs.query_advice(advices[0][0], Rotation(0))
+                            }
+                            _ => unreachable!(),
+                        });
+                    }
+
+                    let lhs = input_queries.into_iter().map(|c| c * s_inputq.clone());
+                    let rhs = ref_queries.into_iter().map(|c| c * s_referenceq.clone());
+                    expression.extend(lhs.zip(rhs));
+
+                    expression
+                });
+                self.shuffles
+                    .input_selectors
+                    .entry((x, y))
+                    .or_insert(s_input);
+            }
+        }
+        self.shuffles.reference_selectors.push(s_reference);
+
+        // if we haven't previously initialized the input/output, do so now
+        if self.shuffles.references.is_empty() {
+            debug!("assigning shuffles reference");
+            self.shuffles.references = references.to_vec();
+        }
+        if self.shuffles.inputs.is_empty() {
+            debug!("assigning shuffles input");
+            self.shuffles.inputs = inputs.to_vec();
+        }
+
+        Ok(())
+    }
+
     /// Configures and creates lookup selectors
     #[allow(clippy::too_many_arguments)]
     pub fn configure_range_check(
@@ -547,23 +822,22 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
     where
         F: Field,
     {
-        let mut selectors = BTreeMap::new();
-
         if !input.is_advice() {
             return Err("wrong input type for lookup input".into());
         }
 
         // we borrow mutably twice so we need to do this dance
 
-        let range_check =
-            if let std::collections::btree_map::Entry::Vacant(e) = self.range_checks.entry(range) {
-                // as all tables have the same input we see if there's another table who's input we can reuse
-                let range_check = RangeCheck::<F>::configure(cs, range, logrows);
-                e.insert(range_check.clone());
-                range_check
-            } else {
-                return Ok(());
-            };
+        let range_check = if let std::collections::btree_map::Entry::Vacant(e) =
+            self.range_checks.ranges.entry(range)
+        {
+            // as all tables have the same input we see if there's another table who's input we can reuse
+            let range_check = RangeCheck::<F>::configure(cs, range, logrows);
+            e.insert(range_check.clone());
+            range_check
+        } else {
+            return Ok(());
+        };
 
         for x in 0..input.num_blocks() {
             for y in 0..input.num_inner_cols() {
@@ -620,19 +894,20 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
                         res
                     });
                 }
-                selectors.insert((range, x, y), multi_col_selector);
+                self.range_checks
+                    .selectors
+                    .insert((range, x, y), multi_col_selector);
             }
         }
-        self.range_check_selectors.extend(selectors);
         // if we haven't previously initialized the input/output, do so now
-        if let VarTensor::Empty = self.lookup_input {
-            debug!("assigning lookup input");
-            self.lookup_input = input.clone();
+        if let VarTensor::Empty = self.range_checks.input {
+            debug!("assigning range check input");
+            self.range_checks.input = input.clone();
         }
 
-        if let VarTensor::Empty = self.lookup_index {
-            debug!("assigning lookup index");
-            self.lookup_index = index.clone();
+        if let VarTensor::Empty = self.range_checks.index {
+            debug!("assigning range check index");
+            self.range_checks.index = index.clone();
         }
 
         Ok(())
@@ -640,7 +915,7 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
 
     /// layout_tables must be called before layout.
     pub fn layout_tables(&mut self, layouter: &mut impl Layouter<F>) -> Result<(), Box<dyn Error>> {
-        for (i, table) in self.tables.values_mut().enumerate() {
+        for (i, table) in self.static_lookups.tables.values_mut().enumerate() {
             if !table.is_assigned {
                 debug!(
                     "laying out table for {}",
@@ -661,7 +936,7 @@ impl<F: PrimeField + TensorType + PartialOrd> BaseConfig<F> {
         &mut self,
         layouter: &mut impl Layouter<F>,
     ) -> Result<(), Box<dyn Error>> {
-        for range_check in self.range_checks.values_mut() {
+        for range_check in self.range_checks.ranges.values_mut() {
             if !range_check.is_assigned {
                 debug!("laying out range check for {:?}", range_check.range);
                 range_check.layout(layouter)?;

src/circuit/ops/hybrid.rs

@@ -277,7 +277,7 @@ impl<F: PrimeField + TensorType + PartialOrd> Op<F> for HybridOp {
                 ..
             } => {
                 if denom.0.fract() == 0.0 && *use_range_check_for_int {
-                    layouts::div(
+                    layouts::loop_div(
                         config,
                         region,
                         values[..].try_into()?,

src/circuit/ops/poly.rs

@@ -60,8 +60,6 @@ pub enum PolyOp {
         len_prod: usize,
     },
     Pow(u32),
-    Pack(u32, u32),
-    GlobalSumPool,
     Concat {
         axis: usize,
     },
@@ -110,8 +108,6 @@ impl<F: PrimeField + TensorType + PartialOrd + Serialize + for<'de> Deserialize<
             PolyOp::Sum { .. } => "SUM".into(),
             PolyOp::Prod { .. } => "PROD".into(),
             PolyOp::Pow(_) => "POW".into(),
-            PolyOp::Pack(_, _) => "PACK".into(),
-            PolyOp::GlobalSumPool => "GLOBALSUMPOOL".into(),
             PolyOp::Conv { .. } => "CONV".into(),
             PolyOp::DeConv { .. } => "DECONV".into(),
             PolyOp::Concat { axis } => format!("CONCAT (axis={})", axis),
@@ -181,13 +177,6 @@ impl<F: PrimeField + TensorType + PartialOrd + Serialize + for<'de> Deserialize<
                 output_padding,
                 stride,
             } => tensor::ops::deconv(&inputs, *padding, *output_padding, *stride),
-            PolyOp::Pack(base, scale) => {
-                if 1 != inputs.len() {
-                    return Err(TensorError::DimMismatch("pack inputs".to_string()));
-                }
-
-                tensor::ops::pack(&inputs[0], F::from(*base as u64), *scale)
-            }
             PolyOp::Pow(u) => {
                 if 1 != inputs.len() {
                     return Err(TensorError::DimMismatch("pow inputs".to_string()));
@@ -206,7 +195,6 @@ impl<F: PrimeField + TensorType + PartialOrd + Serialize + for<'de> Deserialize<
                 }
                 tensor::ops::prod_axes(&inputs[0], axes)
             }
-            PolyOp::GlobalSumPool => unreachable!(),
             PolyOp::Concat { axis } => {
                 tensor::ops::concat(&inputs.iter().collect::<Vec<_>>(), *axis)
             }
@@ -334,10 +322,6 @@ impl<F: PrimeField + TensorType + PartialOrd + Serialize + for<'de> Deserialize<
                 input
             }
             PolyOp::Pow(exp) => layouts::pow(config, region, values[..].try_into()?, *exp)?,
-            PolyOp::Pack(base, scale) => {
-                layouts::pack(config, region, values[..].try_into()?, *base, *scale)?
-            }
-            PolyOp::GlobalSumPool => unreachable!(),
             PolyOp::Concat { axis } => layouts::concat(values[..].try_into()?, axis)?,
             PolyOp::Slice { axis, start, end } => {
                 layouts::slice(config, region, values[..].try_into()?, axis, start, end)?

src/circuit/ops/region.rs

@@ -20,6 +20,66 @@ use portable_atomic::AtomicI128 as AtomicInt;
 
 use super::lookup::LookupOp;
 
+/// Dynamic lookup index
+#[derive(Clone, Debug, Default)]
+pub struct DynamicLookupIndex {
+    index: usize,
+    col_coord: usize,
+}
+
+impl DynamicLookupIndex {
+    /// Create a new dynamic lookup index
+    pub fn new(index: usize, col_coord: usize) -> DynamicLookupIndex {
+        DynamicLookupIndex { index, col_coord }
+    }
+
+    /// Get the lookup index
+    pub fn index(&self) -> usize {
+        self.index
+    }
+
+    /// Get the column coord
+    pub fn col_coord(&self) -> usize {
+        self.col_coord
+    }
+
+    /// update with another dynamic lookup index
+    pub fn update(&mut self, other: &DynamicLookupIndex) {
+        self.index += other.index;
+        self.col_coord += other.col_coord;
+    }
+}
+
+/// Dynamic lookup index
+#[derive(Clone, Debug, Default)]
+pub struct ShuffleIndex {
+    index: usize,
+    col_coord: usize,
+}
+
+impl ShuffleIndex {
+    /// Create a new dynamic lookup index
+    pub fn new(index: usize, col_coord: usize) -> ShuffleIndex {
+        ShuffleIndex { index, col_coord }
+    }
+
+    /// Get the lookup index
+    pub fn index(&self) -> usize {
+        self.index
+    }
+
+    /// Get the column coord
+    pub fn col_coord(&self) -> usize {
+        self.col_coord
+    }
+
+    /// update with another shuffle index
+    pub fn update(&mut self, other: &ShuffleIndex) {
+        self.index += other.index;
+        self.col_coord += other.col_coord;
+    }
+}
+
 /// Region error
 #[derive(Debug, thiserror::Error)]
 pub enum RegionError {
@@ -66,12 +126,14 @@ pub struct RegionCtx<'a, F: PrimeField + TensorType + PartialOrd> {
     linear_coord: usize,
     num_inner_cols: usize,
     total_constants: usize,
+    dynamic_lookup_index: DynamicLookupIndex,
+    shuffle_index: ShuffleIndex,
     used_lookups: HashSet<LookupOp>,
     used_range_checks: HashSet<Range>,
     max_lookup_inputs: i128,
     min_lookup_inputs: i128,
-    min_range_check: i128,
-    max_range_check: i128,
+    max_range_size: i128,
+    throw_range_check_error: bool,
 }
 
 impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
@@ -80,6 +142,31 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
         self.total_constants += n;
     }
 
+    ///
+    pub fn increment_dynamic_lookup_index(&mut self, n: usize) {
+        self.dynamic_lookup_index.index += n;
+    }
+
+    ///
+    pub fn increment_dynamic_lookup_col_coord(&mut self, n: usize) {
+        self.dynamic_lookup_index.col_coord += n;
+    }
+
+    ///
+    pub fn increment_shuffle_index(&mut self, n: usize) {
+        self.shuffle_index.index += n;
+    }
+
+    ///
+    pub fn increment_shuffle_col_coord(&mut self, n: usize) {
+        self.shuffle_index.col_coord += n;
+    }
+
+    ///
+    pub fn throw_range_check_error(&self) -> bool {
+        self.throw_range_check_error
+    }
+
     /// Create a new region context
     pub fn new(region: Region<'a, F>, row: usize, num_inner_cols: usize) -> RegionCtx<'a, F> {
         let region = Some(RefCell::new(region));
@@ -91,12 +178,14 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
             row,
             linear_coord,
             total_constants: 0,
+            dynamic_lookup_index: DynamicLookupIndex::default(),
+            shuffle_index: ShuffleIndex::default(),
             used_lookups: HashSet::new(),
             used_range_checks: HashSet::new(),
             max_lookup_inputs: 0,
             min_lookup_inputs: 0,
-            max_range_check: 0,
-            min_range_check: 0,
+            max_range_size: 0,
+            throw_range_check_error: false,
         }
     }
     /// Create a new region context from a wrapped region
@@ -104,6 +193,8 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
         region: Option<RefCell<Region<'a, F>>>,
         row: usize,
         num_inner_cols: usize,
+        dynamic_lookup_index: DynamicLookupIndex,
+        shuffle_index: ShuffleIndex,
     ) -> RegionCtx<'a, F> {
         let linear_coord = row * num_inner_cols;
         RegionCtx {
@@ -112,17 +203,23 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
             linear_coord,
             row,
             total_constants: 0,
+            dynamic_lookup_index,
+            shuffle_index,
             used_lookups: HashSet::new(),
             used_range_checks: HashSet::new(),
             max_lookup_inputs: 0,
             min_lookup_inputs: 0,
-            max_range_check: 0,
-            min_range_check: 0,
+            max_range_size: 0,
+            throw_range_check_error: false,
         }
     }
 
     /// Create a new region context
-    pub fn new_dummy(row: usize, num_inner_cols: usize) -> RegionCtx<'a, F> {
+    pub fn new_dummy(
+        row: usize,
+        num_inner_cols: usize,
+        throw_range_check_error: bool,
+    ) -> RegionCtx<'a, F> {
         let region = None;
         let linear_coord = row * num_inner_cols;
 
@@ -132,12 +229,14 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
             linear_coord,
             row,
             total_constants: 0,
+            dynamic_lookup_index: DynamicLookupIndex::default(),
+            shuffle_index: ShuffleIndex::default(),
             used_lookups: HashSet::new(),
             used_range_checks: HashSet::new(),
             max_lookup_inputs: 0,
             min_lookup_inputs: 0,
-            max_range_check: 0,
-            min_range_check: 0,
+            max_range_size: 0,
+            throw_range_check_error,
         }
     }
 
@@ -147,8 +246,7 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
         linear_coord: usize,
         total_constants: usize,
         num_inner_cols: usize,
-        used_lookups: HashSet<LookupOp>,
-        used_range_checks: HashSet<Range>,
+        throw_range_check_error: bool,
     ) -> RegionCtx<'a, F> {
         let region = None;
         RegionCtx {
@@ -157,12 +255,14 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
             linear_coord,
             row,
             total_constants,
-            used_lookups,
-            used_range_checks,
+            dynamic_lookup_index: DynamicLookupIndex::default(),
+            shuffle_index: ShuffleIndex::default(),
+            used_lookups: HashSet::new(),
+            used_range_checks: HashSet::new(),
             max_lookup_inputs: 0,
             min_lookup_inputs: 0,
-            max_range_check: 0,
-            min_range_check: 0,
+            max_range_size: 0,
+            throw_range_check_error,
         }
     }
 
@@ -217,6 +317,8 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
         let min_lookup_inputs = AtomicInt::new(self.min_lookup_inputs());
         let lookups = Arc::new(Mutex::new(self.used_lookups.clone()));
         let range_checks = Arc::new(Mutex::new(self.used_range_checks.clone()));
+        let dynamic_lookup_index = Arc::new(Mutex::new(self.dynamic_lookup_index.clone()));
+        let shuffle_index = Arc::new(Mutex::new(self.shuffle_index.clone()));
 
         *output = output
             .par_enum_map(|idx, _| {
@@ -232,8 +334,7 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
                     starting_linear_coord,
                     starting_constants,
                     self.num_inner_cols,
-                    HashSet::new(),
-                    HashSet::new(),
+                    self.throw_range_check_error,
                 );
                 let res = inner_loop_function(idx, &mut local_reg);
                 // we update the offset and constants
@@ -252,14 +353,19 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
                 // update the lookups
                 let mut lookups = lookups.lock().unwrap();
                 lookups.extend(local_reg.used_lookups());
+                // update the range checks
                 let mut range_checks = range_checks.lock().unwrap();
                 range_checks.extend(local_reg.used_range_checks());
+                // update the dynamic lookup index
+                let mut dynamic_lookup_index = dynamic_lookup_index.lock().unwrap();
+                dynamic_lookup_index.update(&local_reg.dynamic_lookup_index);
+                // update the shuffle index
+                let mut shuffle_index = shuffle_index.lock().unwrap();
+                shuffle_index.update(&local_reg.shuffle_index);
+
                 res
             })
-            .map_err(|e| {
-                log::error!("dummy_loop: {:?}", e);
-                Error::Synthesis
-            })?;
+            .map_err(|e| RegionError::from(format!("dummy_loop: {:?}", e)))?;
         self.total_constants = constants.into_inner();
         self.linear_coord = linear_coord.into_inner();
         #[allow(trivial_numeric_casts)]
@@ -282,6 +388,28 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
             .map_err(|e| {
                 RegionError::from(format!("dummy_loop: failed to get range checks: {:?}", e))
             })?;
+        self.dynamic_lookup_index = Arc::try_unwrap(dynamic_lookup_index)
+            .map_err(|e| {
+                RegionError::from(format!(
+                    "dummy_loop: failed to get dynamic lookup index: {:?}",
+                    e
+                ))
+            })?
+            .into_inner()
+            .map_err(|e| {
+                RegionError::from(format!(
+                    "dummy_loop: failed to get dynamic lookup index: {:?}",
+                    e
+                ))
+            })?;
+        self.shuffle_index = Arc::try_unwrap(shuffle_index)
+            .map_err(|e| {
+                RegionError::from(format!("dummy_loop: failed to get shuffle index: {:?}", e))
+            })?
+            .into_inner()
+            .map_err(|e| {
+                RegionError::from(format!("dummy_loop: failed to get shuffle index: {:?}", e))
+            })?;
 
         Ok(())
     }
@@ -310,8 +438,9 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
             return Err("update_max_min_lookup_range: invalid range".into());
         }
 
-        self.max_range_check = self.max_range_check.max(range.1);
-        self.min_range_check = self.min_range_check.min(range.0);
+        let range_size = (range.1 - range.0).abs();
+
+        self.max_range_size = self.max_range_size.max(range_size);
         Ok(())
     }
 
@@ -351,6 +480,26 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
         self.total_constants
     }
 
+    /// Get the dynamic lookup index
+    pub fn dynamic_lookup_index(&self) -> usize {
+        self.dynamic_lookup_index.index
+    }
+
+    /// Get the dynamic lookup column coordinate
+    pub fn dynamic_lookup_col_coord(&self) -> usize {
+        self.dynamic_lookup_index.col_coord
+    }
+
+    /// Get the shuffle index
+    pub fn shuffle_index(&self) -> usize {
+        self.shuffle_index.index
+    }
+
+    /// Get the shuffle column coordinate
+    pub fn shuffle_col_coord(&self) -> usize {
+        self.shuffle_index.col_coord
+    }
+
     /// get used lookups
     pub fn used_lookups(&self) -> HashSet<LookupOp> {
         self.used_lookups.clone()
@@ -371,14 +520,9 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
         self.min_lookup_inputs
     }
 
-    /// min range check
-    pub fn min_range_check(&self) -> i128 {
-        self.min_range_check
-    }
-
     /// max range check
-    pub fn max_range_check(&self) -> i128 {
-        self.max_range_check
+    pub fn max_range_size(&self) -> i128 {
+        self.max_range_size
     }
 
     /// Assign a constant value
@@ -405,6 +549,38 @@ impl<'a, F: PrimeField + TensorType + PartialOrd> RegionCtx<'a, F> {
         }
     }
 
+    ///
+    pub fn combined_dynamic_shuffle_coord(&self) -> usize {
+        self.dynamic_lookup_col_coord() + self.shuffle_col_coord()
+    }
+
+    /// Assign a valtensor to a vartensor
+    pub fn assign_dynamic_lookup(
+        &mut self,
+        var: &VarTensor,
+        values: &ValTensor<F>,
+    ) -> Result<ValTensor<F>, Error> {
+        self.total_constants += values.num_constants();
+        if let Some(region) = &self.region {
+            var.assign(
+                &mut region.borrow_mut(),
+                self.combined_dynamic_shuffle_coord(),
+                values,
+            )
+        } else {
+            Ok(values.clone())
+        }
+    }
+
+    /// Assign a valtensor to a vartensor
+    pub fn assign_shuffle(
+        &mut self,
+        var: &VarTensor,
+        values: &ValTensor<F>,
+    ) -> Result<ValTensor<F>, Error> {
+        self.assign_dynamic_lookup(var, values)
+    }
+
     /// Assign a valtensor to a vartensor
     pub fn assign_with_omissions(
         &mut self,

src/circuit/table.rs

@@ -133,9 +133,7 @@ impl<F: PrimeField + TensorType + PartialOrd> Table<F> {
 }
 
 ///
-pub fn num_cols_required(range: Range, col_size: usize) -> usize {
-    // double it to be safe
-    let range_len = range.1 - range.0;
+pub fn num_cols_required(range_len: i128, col_size: usize) -> usize {
     // number of cols needed to store the range
     (range_len / (col_size as i128)) as usize + 1
 }
@@ -152,7 +150,7 @@ impl<F: PrimeField + TensorType + PartialOrd> Table<F> {
         let factors = cs.blinding_factors() + RESERVED_BLINDING_ROWS_PAD;
         let col_size = Self::cal_col_size(logrows, factors);
         // number of cols needed to store the range
-        let num_cols = num_cols_required(range, col_size);
+        let num_cols = num_cols_required((range.1 - range.0).abs(), col_size);
 
         log::debug!("table range: {:?}", range);
 
@@ -313,7 +311,7 @@ impl<F: PrimeField + TensorType + PartialOrd> RangeCheck<F> {
         let factors = cs.blinding_factors() + RESERVED_BLINDING_ROWS_PAD;
         let col_size = Self::cal_col_size(logrows, factors);
         // number of cols needed to store the range
-        let num_cols = num_cols_required(range, col_size);
+        let num_cols = num_cols_required((range.1 - range.0).abs(), col_size);
 
         let inputs = {
             let mut cols = vec![];

src/circuit/tests.rs

@@ -1,4 +1,3 @@
-use crate::circuit::ops::hybrid::HybridOp;
 use crate::circuit::ops::poly::PolyOp;
 use crate::circuit::*;
 use crate::tensor::{Tensor, TensorType, ValTensor, VarTensor};
@@ -358,8 +357,6 @@ mod matmul_col_ultra_overflow_double_col {
         );
 
         assert!(result.is_ok());
-
-        println!("done.");
     }
 }
 
@@ -477,8 +474,6 @@ mod matmul_col_ultra_overflow {
         );
 
         assert!(result.is_ok());
-
-        println!("done.");
     }
 }
 
@@ -1281,8 +1276,6 @@ mod conv_col_ultra_overflow {
         );
 
         assert!(result.is_ok());
-
-        println!("done.");
     }
 }
 
@@ -1436,8 +1429,6 @@ mod conv_relu_col_ultra_overflow {
         );
 
         assert!(result.is_ok());
-
-        println!("done.");
     }
 }
 
@@ -1575,6 +1566,280 @@ mod add {
     }
 }
 
+#[cfg(test)]
+mod dynamic_lookup {
+    use super::*;
+
+    const K: usize = 6;
+    const LEN: usize = 4;
+    const NUM_LOOP: usize = 5;
+
+    #[derive(Clone)]
+    struct MyCircuit<F: PrimeField + TensorType + PartialOrd> {
+        tables: [[ValTensor<F>; 2]; NUM_LOOP],
+        lookups: [[ValTensor<F>; 2]; NUM_LOOP],
+        _marker: PhantomData<F>,
+    }
+
+    impl Circuit<F> for MyCircuit<F> {
+        type Config = BaseConfig<F>;
+        type FloorPlanner = SimpleFloorPlanner;
+        type Params = TestParams;
+
+        fn without_witnesses(&self) -> Self {
+            self.clone()
+        }
+
+        fn configure(cs: &mut ConstraintSystem<F>) -> Self::Config {
+            let a = VarTensor::new_advice(cs, K, 2, LEN);
+            let b = VarTensor::new_advice(cs, K, 2, LEN);
+            let c: VarTensor = VarTensor::new_advice(cs, K, 2, LEN);
+
+            let d = VarTensor::new_advice(cs, K, 1, LEN);
+            let e = VarTensor::new_advice(cs, K, 1, LEN);
+            let f: VarTensor = VarTensor::new_advice(cs, K, 1, LEN);
+
+            let _constant = VarTensor::constant_cols(cs, K, LEN * NUM_LOOP, false);
+
+            let mut config =
+                Self::Config::configure(cs, &[a.clone(), b.clone()], &c, CheckMode::SAFE);
+            config
+                .configure_dynamic_lookup(
+                    cs,
+                    &[a.clone(), b.clone(), c.clone()],
+                    &[d.clone(), e.clone(), f.clone()],
+                )
+                .unwrap();
+            config
+        }
+
+        fn synthesize(
+            &self,
+            config: Self::Config,
+            mut layouter: impl Layouter<F>,
+        ) -> Result<(), Error> {
+            layouter
+                .assign_region(
+                    || "",
+                    |region| {
+                        let mut region = RegionCtx::new(region, 0, 1);
+                        for i in 0..NUM_LOOP {
+                            layouts::dynamic_lookup(
+                                &config,
+                                &mut region,
+                                &self.lookups[i],
+                                &self.tables[i],
+                            )
+                            .map_err(|_| Error::Synthesis)?;
+                        }
+                        assert_eq!(
+                            region.dynamic_lookup_col_coord(),
+                            NUM_LOOP * self.tables[0][0].len()
+                        );
+                        assert_eq!(region.dynamic_lookup_index(), NUM_LOOP);
+
+                        Ok(())
+                    },
+                )
+                .unwrap();
+            Ok(())
+        }
+    }
+
+    #[test]
+    fn dynamiclookupcircuit() {
+        // parameters
+        let tables = (0..NUM_LOOP)
+            .map(|loop_idx| {
+                [
+                    ValTensor::from(Tensor::from(
+                        (0..LEN).map(|i| Value::known(F::from((i * loop_idx) as u64 + 1))),
+                    )),
+                    ValTensor::from(Tensor::from(
+                        (0..LEN).map(|i| Value::known(F::from((loop_idx * i * i) as u64 + 1))),
+                    )),
+                ]
+            })
+            .collect::<Vec<_>>();
+
+        let lookups = (0..NUM_LOOP)
+            .map(|loop_idx| {
+                [
+                    ValTensor::from(Tensor::from(
+                        (0..3).map(|i| Value::known(F::from((i * loop_idx) as u64 + 1))),
+                    )),
+                    ValTensor::from(Tensor::from(
+                        (0..3).map(|i| Value::known(F::from((loop_idx * i * i) as u64 + 1))),
+                    )),
+                ]
+            })
+            .collect::<Vec<_>>();
+
+        let circuit = MyCircuit::<F> {
+            tables: tables.clone().try_into().unwrap(),
+            lookups: lookups.try_into().unwrap(),
+            _marker: PhantomData,
+        };
+
+        let prover = MockProver::run(K as u32, &circuit, vec![]).unwrap();
+        prover.assert_satisfied();
+
+        let lookups = (0..NUM_LOOP)
+            .map(|loop_idx| {
+                let prev_idx = if loop_idx == 0 {
+                    NUM_LOOP - 1
+                } else {
+                    loop_idx - 1
+                };
+                [
+                    ValTensor::from(Tensor::from(
+                        (0..3).map(|i| Value::known(F::from((i * prev_idx) as u64 + 1))),
+                    )),
+                    ValTensor::from(Tensor::from(
+                        (0..3).map(|i| Value::known(F::from((prev_idx * i * i) as u64 + 1))),
+                    )),
+                ]
+            })
+            .collect::<Vec<_>>();
+
+        let circuit = MyCircuit::<F> {
+            tables: tables.try_into().unwrap(),
+            lookups: lookups.try_into().unwrap(),
+            _marker: PhantomData,
+        };
+
+        let prover = MockProver::run(K as u32, &circuit, vec![]).unwrap();
+        assert!(prover.verify().is_err());
+    }
+}
+
+#[cfg(test)]
+mod shuffle {
+    use super::*;
+
+    const K: usize = 6;
+    const LEN: usize = 4;
+    const NUM_LOOP: usize = 5;
+
+    #[derive(Clone)]
+    struct MyCircuit<F: PrimeField + TensorType + PartialOrd> {
+        inputs: [[ValTensor<F>; 1]; NUM_LOOP],
+        references: [[ValTensor<F>; 1]; NUM_LOOP],
+        _marker: PhantomData<F>,
+    }
+
+    impl Circuit<F> for MyCircuit<F> {
+        type Config = BaseConfig<F>;
+        type FloorPlanner = SimpleFloorPlanner;
+        type Params = TestParams;
+
+        fn without_witnesses(&self) -> Self {
+            self.clone()
+        }
+
+        fn configure(cs: &mut ConstraintSystem<F>) -> Self::Config {
+            let a = VarTensor::new_advice(cs, K, 2, LEN);
+            let b = VarTensor::new_advice(cs, K, 2, LEN);
+            let c: VarTensor = VarTensor::new_advice(cs, K, 2, LEN);
+
+            let d = VarTensor::new_advice(cs, K, 1, LEN);
+            let e = VarTensor::new_advice(cs, K, 1, LEN);
+
+            let _constant = VarTensor::constant_cols(cs, K, LEN * NUM_LOOP, false);
+
+            let mut config =
+                Self::Config::configure(cs, &[a.clone(), b.clone()], &c, CheckMode::SAFE);
+            config
+                .configure_shuffles(cs, &[a.clone(), b.clone()], &[d.clone(), e.clone()])
+                .unwrap();
+            config
+        }
+
+        fn synthesize(
+            &self,
+            config: Self::Config,
+            mut layouter: impl Layouter<F>,
+        ) -> Result<(), Error> {
+            layouter
+                .assign_region(
+                    || "",
+                    |region| {
+                        let mut region = RegionCtx::new(region, 0, 1);
+                        for i in 0..NUM_LOOP {
+                            layouts::shuffles(
+                                &config,
+                                &mut region,
+                                &self.inputs[i],
+                                &self.references[i],
+                            )
+                            .map_err(|_| Error::Synthesis)?;
+                        }
+                        assert_eq!(
+                            region.shuffle_col_coord(),
+                            NUM_LOOP * self.references[0][0].len()
+                        );
+                        assert_eq!(region.shuffle_index(), NUM_LOOP);
+
+                        Ok(())
+                    },
+                )
+                .unwrap();
+            Ok(())
+        }
+    }
+
+    #[test]
+    fn shufflecircuit() {
+        // parameters
+        let references = (0..NUM_LOOP)
+            .map(|loop_idx| {
+                [ValTensor::from(Tensor::from((0..LEN).map(|i| {
+                    Value::known(F::from((i * loop_idx) as u64 + 1))
+                })))]
+            })
+            .collect::<Vec<_>>();
+
+        let inputs = (0..NUM_LOOP)
+            .map(|loop_idx| {
+                [ValTensor::from(Tensor::from((0..LEN).rev().map(|i| {
+                    Value::known(F::from((i * loop_idx) as u64 + 1))
+                })))]
+            })
+            .collect::<Vec<_>>();
+
+        let circuit = MyCircuit::<F> {
+            references: references.clone().try_into().unwrap(),
+            inputs: inputs.try_into().unwrap(),
+            _marker: PhantomData,
+        };
+
+        let prover = MockProver::run(K as u32, &circuit, vec![]).unwrap();
+        prover.assert_satisfied();
+
+        let inputs = (0..NUM_LOOP)
+            .map(|loop_idx| {
+                let prev_idx = if loop_idx == 0 {
+                    NUM_LOOP - 1
+                } else {
+                    loop_idx - 1
+                };
+                [ValTensor::from(Tensor::from((0..LEN).rev().map(|i| {
+                    Value::known(F::from((i * prev_idx) as u64 + 1))
+                })))]
+            })
+            .collect::<Vec<_>>();
+
+        let circuit = MyCircuit::<F> {
+            references: references.try_into().unwrap(),
+            inputs: inputs.try_into().unwrap(),
+            _marker: PhantomData,
+        };
+
+        let prover = MockProver::run(K as u32, &circuit, vec![]).unwrap();
+        assert!(prover.verify().is_err());
+    }
+}
+
 #[cfg(test)]
 mod add_with_overflow {
     use super::*;
@@ -1978,75 +2243,6 @@ mod pow {
     }
 }
 
-#[cfg(test)]
-mod pack {
-    use super::*;
-
-    const K: usize = 8;
-    const LEN: usize = 4;
-
-    #[derive(Clone)]
-    struct MyCircuit<F: PrimeField + TensorType + PartialOrd> {
-        inputs: [ValTensor<F>; 1],
-        _marker: PhantomData<F>,
-    }
-
-    impl Circuit<F> for MyCircuit<F> {
-        type Config = BaseConfig<F>;
-        type FloorPlanner = SimpleFloorPlanner;
-        type Params = TestParams;
-
-        fn without_witnesses(&self) -> Self {
-            self.clone()
-        }
-
-        fn configure(cs: &mut ConstraintSystem<F>) -> Self::Config {
-            let a = VarTensor::new_advice(cs, K, 1, LEN);
-            let b = VarTensor::new_advice(cs, K, 1, LEN);
-            let output = VarTensor::new_advice(cs, K, 1, LEN);
-
-            Self::Config::configure(cs, &[a, b], &output, CheckMode::SAFE)
-        }
-
-        fn synthesize(
-            &self,
-            mut config: Self::Config,
-            mut layouter: impl Layouter<F>,
-        ) -> Result<(), Error> {
-            layouter
-                .assign_region(
-                    || "",
-                    |region| {
-                        let mut region = RegionCtx::new(region, 0, 1);
-                        config
-                            .layout(
-                                &mut region,
-                                &self.inputs.clone(),
-                                Box::new(PolyOp::Pack(2, 1)),
-                            )
-                            .map_err(|_| Error::Synthesis)
-                    },
-                )
-                .unwrap();
-            Ok(())
-        }
-    }
-
-    #[test]
-    fn packcircuit() {
-        // parameters
-        let a = Tensor::from((0..LEN).map(|i| Value::known(F::from(i as u64 + 1))));
-
-        let circuit = MyCircuit::<F> {
-            inputs: [ValTensor::from(a)],
-            _marker: PhantomData,
-        };
-
-        let prover = MockProver::run(K as u32, &circuit, vec![]).unwrap();
-        prover.assert_satisfied();
-    }
-}
-
 #[cfg(test)]
 mod matmul_relu {
     use super::*;
@@ -2334,117 +2530,5 @@ mod lookup_ultra_overflow {
         );
 
         assert!(result.is_ok());
-
-        println!("done.");
-    }
-}
-
-#[cfg(test)]
-mod softmax {
-
-    use super::*;
-    use halo2_proofs::{
-        circuit::{Layouter, SimpleFloorPlanner, Value},
-        dev::MockProver,
-        plonk::{Circuit, ConstraintSystem, Error},
-    };
-
-    const K: usize = 18;
-    const LEN: usize = 3;
-    const SCALE: f32 = 128.0;
-
-    #[derive(Clone)]
-    struct SoftmaxCircuit<F: PrimeField + TensorType + PartialOrd> {
-        pub input: ValTensor<F>,
-        _marker: PhantomData<F>,
-    }
-
-    impl Circuit<F> for SoftmaxCircuit<F> {
-        type Config = BaseConfig<F>;
-        type FloorPlanner = SimpleFloorPlanner;
-        type Params = TestParams;
-
-        fn without_witnesses(&self) -> Self {
-            self.clone()
-        }
-        fn configure(cs: &mut ConstraintSystem<F>) -> Self::Config {
-            let a = VarTensor::new_advice(cs, K, 1, LEN);
-            let b = VarTensor::new_advice(cs, K, 1, LEN);
-            let output = VarTensor::new_advice(cs, K, 1, LEN);
-            let mut config = Self::Config::configure(cs, &[a, b], &output, CheckMode::SAFE);
-            let advices = (0..3)
-                .map(|_| VarTensor::new_advice(cs, K, 1, LEN))
-                .collect::<Vec<_>>();
-
-            config
-                .configure_lookup(
-                    cs,
-                    &advices[0],
-                    &advices[1],
-                    &advices[2],
-                    (-32768, 32768),
-                    K,
-                    &LookupOp::Exp {
-                        scale: SCALE.into(),
-                    },
-                )
-                .unwrap();
-            config
-                .configure_lookup(
-                    cs,
-                    &advices[0],
-                    &advices[1],
-                    &advices[2],
-                    (-32768, 32768),
-                    K,
-                    &LookupOp::Recip {
-                        input_scale: SCALE.into(),
-                        output_scale: SCALE.into(),
-                    },
-                )
-                .unwrap();
-            config
-        }
-
-        fn synthesize(
-            &self,
-            mut config: Self::Config,
-            mut layouter: impl Layouter<F>,
-        ) -> Result<(), Error> {
-            config.layout_tables(&mut layouter).unwrap();
-            layouter
-                .assign_region(
-                    || "",
-                    |region| {
-                        let mut region = RegionCtx::new(region, 0, 1);
-                        let _output = config
-                            .layout(
-                                &mut region,
-                                &[self.input.clone()],
-                                Box::new(HybridOp::Softmax {
-                                    scale: SCALE.into(),
-                                    axes: vec![0],
-                                }),
-                            )
-                            .unwrap();
-                        Ok(())
-                    },
-                )
-                .unwrap();
-
-            Ok(())
-        }
-    }
-
-    #[test]
-    fn softmax_circuit() {
-        let input = Tensor::from((0..LEN).map(|i| Value::known(F::from(i as u64 + 1))));
-
-        let circuit = SoftmaxCircuit::<F> {
-            input: ValTensor::from(input),
-            _marker: PhantomData,
-        };
-        let prover = MockProver::run(K as u32, &circuit, vec![]).unwrap();
-        prover.assert_satisfied();
     }
 }

src/commands.rs

@@ -77,7 +77,7 @@ pub const DEFAULT_CALIBRATION_FILE: &str = "calibration.json";
 /// Default lookup safety margin
 pub const DEFAULT_LOOKUP_SAFETY_MARGIN: &str = "2";
 /// Default Compress selectors
-pub const DEFAULT_COMPRESS_SELECTORS: &str = "false";
+pub const DEFAULT_DISABLE_SELECTOR_COMPRESSION: &str = "false";
 /// Default render vk seperately
 pub const DEFAULT_RENDER_VK_SEPERATELY: &str = "false";
 /// Default VK sol path
@@ -450,8 +450,8 @@ pub enum Commands {
         #[arg(long, default_value = DEFAULT_SPLIT)]
         split_proofs: bool,
         /// compress selectors
-        #[arg(long, default_value = DEFAULT_COMPRESS_SELECTORS)]
-        compress_selectors: bool,
+        #[arg(long, default_value = DEFAULT_DISABLE_SELECTOR_COMPRESSION)]
+        disable_selector_compression: bool,
     },
     /// Aggregates proofs :)
     Aggregate {
@@ -515,8 +515,8 @@ pub enum Commands {
         #[arg(short = 'W', long)]
         witness: Option<PathBuf>,
         /// compress selectors
-        #[arg(long, default_value = DEFAULT_COMPRESS_SELECTORS)]
-        compress_selectors: bool,
+        #[arg(long, default_value = DEFAULT_DISABLE_SELECTOR_COMPRESSION)]
+        disable_selector_compression: bool,
     },
 
     #[cfg(not(target_arch = "wasm32"))]
@@ -540,8 +540,8 @@ pub enum Commands {
         #[arg(long, default_value = DEFAULT_FUZZ_RUNS)]
         num_runs: usize,
         /// compress selectors
-        #[arg(long, default_value = DEFAULT_COMPRESS_SELECTORS)]
-        compress_selectors: bool,
+        #[arg(long, default_value = DEFAULT_DISABLE_SELECTOR_COMPRESSION)]
+        disable_selector_compression: bool,
     },
     #[cfg(not(target_arch = "wasm32"))]
     /// Deploys a test contact that the data attester reads from and creates a data attestation formatted input.json file that contains call data information

src/execute.rs

@@ -23,6 +23,7 @@ use crate::pfsys::{create_proof_circuit_kzg, verify_proof_circuit_kzg};
 use crate::pfsys::{save_vk, srs::*};
 use crate::tensor::TensorError;
 use crate::RunArgs;
+#[cfg(unix)]
 use gag::Gag;
 use halo2_proofs::dev::VerifyFailure;
 use halo2_proofs::poly::commitment::Params;
@@ -63,7 +64,11 @@ use std::process::Command;
 use std::sync::atomic::{AtomicBool, AtomicI64, Ordering};
 #[cfg(not(target_arch = "wasm32"))]
 use std::sync::OnceLock;
+
 #[cfg(not(target_arch = "wasm32"))]
+use crate::EZKL_BUF_CAPACITY;
+#[cfg(not(target_arch = "wasm32"))]
+use std::io::BufWriter;
 use std::time::Duration;
 use tabled::Tabled;
 use thiserror::Error;
@@ -140,13 +145,13 @@ pub async fn run(command: Commands) -> Result<String, Box<dyn Error>> {
             compiled_circuit,
             transcript,
             num_runs,
-            compress_selectors,
+            disable_selector_compression,
         } => fuzz(
             compiled_circuit,
             witness,
             transcript,
             num_runs,
-            compress_selectors,
+            disable_selector_compression,
         ),
         Commands::GenSrs { srs_path, logrows } => gen_srs_cmd(srs_path, logrows as u32),
         #[cfg(not(target_arch = "wasm32"))]
@@ -260,14 +265,14 @@ pub async fn run(command: Commands) -> Result<String, Box<dyn Error>> {
             vk_path,
             pk_path,
             witness,
-            compress_selectors,
+            disable_selector_compression,
         } => setup(
             compiled_circuit,
             srs_path,
             vk_path,
             pk_path,
             witness,
-            compress_selectors,
+            disable_selector_compression,
         ),
         #[cfg(not(target_arch = "wasm32"))]
         Commands::SetupTestEvmData {
@@ -331,7 +336,7 @@ pub async fn run(command: Commands) -> Result<String, Box<dyn Error>> {
             srs_path,
             logrows,
             split_proofs,
-            compress_selectors,
+            disable_selector_compression,
         } => setup_aggregate(
             sample_snarks,
             vk_path,
@@ -339,7 +344,7 @@ pub async fn run(command: Commands) -> Result<String, Box<dyn Error>> {
             srs_path,
             logrows,
             split_proofs,
-            compress_selectors,
+            disable_selector_compression,
         ),
         Commands::Aggregate {
             proof_path,
@@ -493,8 +498,15 @@ fn check_srs_hash(logrows: u32, srs_path: Option<PathBuf>) -> Result<String, Box
     let path = get_srs_path(logrows, srs_path);
     let file = std::fs::File::open(path.clone())?;
     let mut buffer = vec![];
-    let bytes_read = std::io::BufReader::new(file).read_to_end(&mut buffer)?;
-    debug!("read {} bytes from SRS file", bytes_read);
+    let mut reader = std::io::BufReader::with_capacity(*EZKL_BUF_CAPACITY, file);
+    let bytes_read = reader.read_to_end(&mut buffer)?;
+
+    info!(
+        "read {} bytes from SRS file (vector of len = {})",
+        bytes_read,
+        buffer.len()
+    );
+
     let hash = sha256::digest(buffer);
     info!("SRS hash: {}", hash);
 
@@ -559,7 +571,11 @@ pub(crate) async fn get_srs_cmd(
         }
 
         let mut file = std::fs::File::create(get_srs_path(k, srs_path.clone()))?;
-        file.write_all(reader.get_ref())?;
+
+        let mut buffer = BufWriter::with_capacity(*EZKL_BUF_CAPACITY, &mut file);
+        buffer.write_all(reader.get_ref())?;
+        buffer.flush()?;
+
         info!("SRS downloaded");
     } else {
         info!("SRS already exists at that path");
@@ -618,7 +634,7 @@ pub(crate) async fn gen_witness(
 
     let start_time = Instant::now();
 
-    let witness = circuit.forward(&mut input, vk.as_ref(), srs.as_ref())?;
+    let witness = circuit.forward(&mut input, vk.as_ref(), srs.as_ref(), false)?;
 
     // print each variable tuple (symbol, value) as symbol=value
     trace!(
@@ -806,18 +822,8 @@ pub(crate) fn calibrate(
     let settings = GraphSettings::load(&settings_path)?;
     // now retrieve the run args
     // we load the model to get the input and output shapes
-    // check if gag already exists
-
-    #[cfg(unix)]
-    let _r = match Gag::stdout() {
-        Ok(r) => Some(r),
-        Err(_) => None,
-    };
 
     let model = Model::from_run_args(&settings.run_args, &model_path)?;
-    // drop the gag
-    #[cfg(unix)]
-    std::mem::drop(_r);
 
     let chunks = data.split_into_batches(model.graph.input_shapes()?)?;
     info!("num of calibration batches: {}", chunks.len());
@@ -833,7 +839,7 @@ pub(crate) fn calibrate(
     let range = if let Some(scales) = scales {
         scales
     } else {
-        (10..14).collect::<Vec<crate::Scale>>()
+        (11..14).collect::<Vec<crate::Scale>>()
     };
 
     let div_rebasing = if only_range_check_rebase {
@@ -896,17 +902,12 @@ pub(crate) fn calibrate(
             input_scale, param_scale, scale_rebase_multiplier, div_rebasing
         ));
 
-        #[cfg(unix)]
-        let _r = match Gag::stdout() {
-            Ok(r) => Some(r),
-            Err(_) => None,
-        };
-        #[cfg(unix)]
-        let _q = match Gag::stderr() {
-            Ok(r) => Some(r),
-            Err(_) => None,
-        };
-        let key = (input_scale, param_scale, scale_rebase_multiplier);
+        let key = (
+            input_scale,
+            param_scale,
+            scale_rebase_multiplier,
+            div_rebasing,
+        );
         forward_pass_res.insert(key, vec![]);
 
         let local_run_args = RunArgs {
@@ -917,20 +918,27 @@ pub(crate) fn calibrate(
             ..settings.run_args.clone()
         };
 
+        // if unix get a gag
+        #[cfg(unix)]
+        let _r = match Gag::stdout() {
+            Ok(g) => Some(g),
+            _ => None,
+        };
+        #[cfg(unix)]
+        let _g = match Gag::stderr() {
+            Ok(g) => Some(g),
+            _ => None,
+        };
+
         let mut circuit = match GraphCircuit::from_run_args(&local_run_args, &model_path) {
             Ok(c) => c,
             Err(e) => {
-                // drop the gag
-                #[cfg(unix)]
-                std::mem::drop(_r);
-                #[cfg(unix)]
-                std::mem::drop(_q);
                 debug!("circuit creation from run args failed: {:?}", e);
                 continue;
             }
         };
 
-        chunks
+        let forward_res = chunks
             .iter()
             .map(|chunk| {
                 let chunk = chunk.clone();
@@ -940,7 +948,7 @@ pub(crate) fn calibrate(
                     .map_err(|e| format!("failed to load circuit inputs: {}", e))?;
 
                 let forward_res = circuit
-                    .forward(&mut data.clone(), None, None)
+                    .forward(&mut data.clone(), None, None, true)
                     .map_err(|e| format!("failed to forward: {}", e))?;
 
                 // push result to the hashmap
@@ -951,53 +959,46 @@ pub(crate) fn calibrate(
 
                 Ok(()) as Result<(), String>
             })
-            .collect::<Result<Vec<()>, String>>()?;
+            .collect::<Result<Vec<()>, String>>();
 
-        let min_lookup_range = forward_pass_res
-            .get(&key)
-            .unwrap()
+        match forward_res {
+            Ok(_) => (),
+            // typically errors will be due to the circuit overflowing the i128 limit
+            Err(e) => {
+                debug!("forward pass failed: {:?}", e);
+                continue;
+            }
+        }
+      
+         // drop the gag
+        #[cfg(unix)]
+        drop(_r);
+        #[cfg(unix)]
+        drop(_g);
+
+        let result = forward_pass_res.get(&key).ok_or("key not found")?;
+
+        let min_lookup_range = result
             .iter()
             .map(|x| x.min_lookup_inputs)
             .min()
             .unwrap_or(0);
 
-        let max_lookup_range = forward_pass_res
-            .get(&key)
-            .unwrap()
+        let max_lookup_range = result
             .iter()
             .map(|x| x.max_lookup_inputs)
             .max()
             .unwrap_or(0);
 
-        let min_range_check = forward_pass_res
-            .get(&key)
-            .unwrap()
-            .iter()
-            .map(|x| x.min_range_check)
-            .min()
-            .unwrap_or(0);
+        let max_range_size = result.iter().map(|x| x.max_range_size).max().unwrap_or(0);
 
-        let max_range_check = forward_pass_res
-            .get(&key)
-            .unwrap()
-            .iter()
-            .map(|x| x.max_range_check)
-            .max()
-            .unwrap_or(0);
-
-        let res = circuit.calibrate_from_min_max(
+        let res = circuit.calc_min_logrows(
             (min_lookup_range, max_lookup_range),
-            (min_range_check, max_range_check),
+            max_range_size,
             max_logrows,
             lookup_safety_margin,
         );
 
-        // // drop the gag
-        // #[cfg(unix)]
-        // std::mem::drop(_r);
-        // #[cfg(unix)]
-        // std::mem::drop(_q);
-
         if res.is_ok() {
             let new_settings = circuit.settings().clone();
 
@@ -1110,6 +1111,7 @@ pub(crate) fn calibrate(
             best_params.run_args.input_scale,
             best_params.run_args.param_scale,
             best_params.run_args.scale_rebase_multiplier,
+            best_params.run_args.div_rebasing,
         ))
         .ok_or("no params found")?
         .iter()
@@ -1528,7 +1530,7 @@ pub(crate) fn setup(
     vk_path: PathBuf,
     pk_path: PathBuf,
     witness: Option<PathBuf>,
-    compress_selectors: bool,
+    disable_selector_compression: bool,
 ) -> Result<String, Box<dyn Error>> {
     // these aren't real values so the sanity checks are mostly meaningless
     let mut circuit = GraphCircuit::load(compiled_circuit)?;
@@ -1542,7 +1544,7 @@ pub(crate) fn setup(
     let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, GraphCircuit>(
         &circuit,
         &params,
-        compress_selectors,
+        disable_selector_compression,
     )
     .map_err(Box::<dyn Error>::from)?;
 
@@ -1683,7 +1685,7 @@ pub(crate) fn fuzz(
     data_path: PathBuf,
     transcript: TranscriptType,
     num_runs: usize,
-    compress_selectors: bool,
+    disable_selector_compression: bool,
 ) -> Result<String, Box<dyn Error>> {
     check_solc_requirement();
     let passed = AtomicBool::new(true);
@@ -1702,7 +1704,7 @@ pub(crate) fn fuzz(
     let pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, GraphCircuit>(
         &circuit,
         &params,
-        compress_selectors,
+        disable_selector_compression,
     )
     .map_err(Box::<dyn Error>::from)?;
 
@@ -1723,7 +1725,7 @@ pub(crate) fn fuzz(
         let bad_pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, GraphCircuit>(
             &circuit,
             &new_params,
-            compress_selectors,
+            disable_selector_compression,
         )
         .map_err(|_| ())?;
 
@@ -1801,7 +1803,7 @@ pub(crate) fn fuzz(
         let bad_pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, GraphCircuit>(
             &circuit,
             &new_params,
-            compress_selectors,
+            disable_selector_compression,
         )
         .map_err(|_| ())?;
 
@@ -1980,7 +1982,7 @@ pub(crate) fn setup_aggregate(
     srs_path: Option<PathBuf>,
     logrows: u32,
     split_proofs: bool,
-    compress_selectors: bool,
+    disable_selector_compression: bool,
 ) -> Result<String, Box<dyn Error>> {
     // the K used for the aggregation circuit
     let params = load_params_cmd(srs_path, logrows)?;
@@ -1994,7 +1996,7 @@ pub(crate) fn setup_aggregate(
     let agg_pk = create_keys::<KZGCommitmentScheme<Bn256>, Fr, AggregationCircuit>(
         &agg_circuit,
         &params,
-        compress_selectors,
+        disable_selector_compression,
     )?;
 
     let agg_vk = agg_pk.get_vk();
@@ -2071,7 +2073,8 @@ pub(crate) fn verify(
     let circuit_settings = GraphSettings::load(&settings_path)?;
 
     let params = if reduced_srs {
-        load_params_cmd(srs_path, circuit_settings.log2_total_instances())?
+        // only need G_0 for the verification with shplonk
+        load_params_cmd(srs_path, 1)?
     } else {
         load_params_cmd(srs_path, circuit_settings.run_args.logrows)?
     };

src/graph/mod.rs

@@ -12,6 +12,8 @@ pub mod utilities;
 pub mod vars;
 #[cfg(not(target_arch = "wasm32"))]
 use colored_json::ToColoredJson;
+#[cfg(unix)]
+use gag::Gag;
 use halo2_proofs::plonk::VerifyingKey;
 use halo2_proofs::poly::kzg::commitment::ParamsKZG;
 pub use input::DataSource;
@@ -61,8 +63,11 @@ use crate::pfsys::field_to_string;
 /// The safety factor for the range of the lookup table.
 pub const RANGE_MULTIPLIER: i128 = 2;
 
+/// The maximum number of columns in a lookup table.
+pub const MAX_NUM_LOOKUP_COLS: usize = 12;
+
 /// Max representation of a lookup table input
-pub const MAX_LOOKUP_ABS: i128 = 8 * 2_i128.pow(MAX_PUBLIC_SRS);
+pub const MAX_LOOKUP_ABS: i128 = (MAX_NUM_LOOKUP_COLS as i128) * 2_i128.pow(MAX_PUBLIC_SRS);
 
 #[cfg(not(target_arch = "wasm32"))]
 lazy_static! {
@@ -134,15 +139,16 @@ pub enum GraphError {
     MissingResults,
 }
 
-const ASSUMED_BLINDING_FACTORS: usize = 5;
+///
+pub const ASSUMED_BLINDING_FACTORS: usize = 5;
 /// The minimum number of rows in the grid
 pub const MIN_LOGROWS: u32 = 6;
 
 /// 26
 pub const MAX_PUBLIC_SRS: u32 = bn256::Fr::S - 2;
 
-/// Lookup deg
-pub const LOOKUP_DEG: usize = 5;
+///
+pub const RESERVED_BLINDING_ROWS: usize = ASSUMED_BLINDING_FACTORS + RESERVED_BLINDING_ROWS_PAD;
 
 use std::cell::RefCell;
 
@@ -171,10 +177,8 @@ pub struct GraphWitness {
     pub max_lookup_inputs: i128,
     /// max lookup input
     pub min_lookup_inputs: i128,
-    /// max range check input
-    pub max_range_check: i128,
-    /// max range check input
-    pub min_range_check: i128,
+    /// max range check size
+    pub max_range_size: i128,
 }
 
 impl GraphWitness {
@@ -202,8 +206,7 @@ impl GraphWitness {
             processed_outputs: None,
             max_lookup_inputs: 0,
             min_lookup_inputs: 0,
-            max_range_check: 0,
-            min_range_check: 0,
+            max_range_size: 0,
         }
     }
 
@@ -376,9 +379,7 @@ impl ToPyObject for GraphWitness {
             .unwrap();
         dict.set_item("min_lookup_inputs", self.min_lookup_inputs)
             .unwrap();
-        dict.set_item("max_range_check", self.max_range_check)
-            .unwrap();
-        dict.set_item("min_range_check", self.min_range_check)
+        dict.set_item("max_range_size", self.max_range_size)
             .unwrap();
 
         if let Some(processed_inputs) = &self.processed_inputs {
@@ -450,6 +451,14 @@ pub struct GraphSettings {
     pub total_assignments: usize,
     /// total const size
     pub total_const_size: usize,
+    /// total dynamic column size
+    pub total_dynamic_col_size: usize,
+    /// number of dynamic lookups
+    pub num_dynamic_lookups: usize,
+    /// number of shuffles
+    pub num_shuffles: usize,
+    /// total shuffle column size
+    pub total_shuffle_col_size: usize,
     /// the shape of public inputs to the model (in order of appearance)
     pub model_instance_shapes: Vec<Vec<usize>>,
     /// model output scales
@@ -473,6 +482,30 @@ pub struct GraphSettings {
 }
 
 impl GraphSettings {
+    fn model_constraint_logrows(&self) -> u32 {
+        (self.num_rows as f64 + RESERVED_BLINDING_ROWS as f64)
+            .log2()
+            .ceil() as u32
+    }
+
+    fn dynamic_lookup_and_shuffle_logrows(&self) -> u32 {
+        (self.total_dynamic_col_size as f64 + self.total_shuffle_col_size as f64)
+            .log2()
+            .ceil() as u32
+    }
+
+    fn dynamic_lookup_and_shuffle_col_size(&self) -> usize {
+        self.total_dynamic_col_size + self.total_shuffle_col_size
+    }
+
+    fn module_constraint_logrows(&self) -> u32 {
+        (self.module_sizes.max_constraints() as f64).log2().ceil() as u32
+    }
+
+    fn constants_logrows(&self) -> u32 {
+        (self.total_const_size as f64).log2().ceil() as u32
+    }
+
     /// calculate the total number of instances
     pub fn total_instances(&self) -> Vec<usize> {
         let mut instances: Vec<usize> = self
@@ -557,6 +590,16 @@ impl GraphSettings {
             || self.run_args.param_visibility.is_hashed()
     }
 
+    /// requires dynamic lookup  
+    pub fn requires_dynamic_lookup(&self) -> bool {
+        self.num_dynamic_lookups > 0
+    }
+
+    /// requires dynamic shuffle
+    pub fn requires_shuffle(&self) -> bool {
+        self.num_shuffles > 0
+    }
+
     /// any kzg visibility
     pub fn module_requires_kzg(&self) -> bool {
         self.run_args.input_visibility.is_kzgcommit()
@@ -1005,10 +1048,6 @@ impl GraphCircuit {
         Ok(data)
     }
 
-    fn reserved_blinding_rows() -> f64 {
-        (ASSUMED_BLINDING_FACTORS + RESERVED_BLINDING_ROWS_PAD) as f64
-    }
-
     fn calc_safe_lookup_range(min_max_lookup: Range, lookup_safety_margin: i128) -> Range {
         let mut margin = (
             lookup_safety_margin * min_max_lookup.0,
@@ -1022,18 +1061,34 @@ impl GraphCircuit {
         margin
     }
 
-    fn calc_num_cols(safe_range: Range, max_logrows: u32) -> usize {
-        let max_col_size = Table::<Fp>::cal_col_size(
-            max_logrows as usize,
-            Self::reserved_blinding_rows() as usize,
-        );
-        num_cols_required(safe_range, max_col_size)
+    fn calc_num_cols(range_len: i128, max_logrows: u32) -> usize {
+        let max_col_size = Table::<Fp>::cal_col_size(max_logrows as usize, RESERVED_BLINDING_ROWS);
+        num_cols_required(range_len, max_col_size)
     }
 
-    fn calc_min_logrows(
+    fn table_size_logrows(
+        &self,
+        safe_lookup_range: Range,
+        max_range_size: i128,
+    ) -> Result<u32, Box<dyn std::error::Error>> {
+        // pick the range with the largest absolute size safe_lookup_range or max_range_size
+        let safe_range = std::cmp::max(
+            (safe_lookup_range.1 - safe_lookup_range.0).abs(),
+            max_range_size,
+        );
+
+        let min_bits = (safe_range as f64 + RESERVED_BLINDING_ROWS as f64 + 1.)
+            .log2()
+            .ceil() as u32;
+
+        Ok(min_bits)
+    }
+
+    /// calculate the minimum logrows required for the circuit
+    pub fn calc_min_logrows(
         &mut self,
         min_max_lookup: Range,
-        min_max_range_checks: Range,
+        max_range_size: i128,
         max_logrows: Option<u32>,
         lookup_safety_margin: i128,
     ) -> Result<(), Box<dyn std::error::Error>> {
@@ -1043,68 +1098,60 @@ impl GraphCircuit {
         let mut max_logrows = std::cmp::max(max_logrows, MIN_LOGROWS);
         let mut min_logrows = MIN_LOGROWS;
 
-        let reserved_blinding_rows = Self::reserved_blinding_rows();
+        let safe_lookup_range = Self::calc_safe_lookup_range(min_max_lookup, lookup_safety_margin);
+
         // check if has overflowed max lookup input
-        if min_max_lookup.1.abs() > MAX_LOOKUP_ABS / lookup_safety_margin
-            || min_max_lookup.0.abs() > MAX_LOOKUP_ABS / lookup_safety_margin
-        {
+        if (min_max_lookup.1 - min_max_lookup.0).abs() > MAX_LOOKUP_ABS / lookup_safety_margin {
             let err_string = format!("max lookup input {:?} is too large", min_max_lookup);
             return Err(err_string.into());
         }
 
-        if min_max_range_checks.1.abs() > MAX_LOOKUP_ABS
-            || min_max_range_checks.1.abs() > MAX_LOOKUP_ABS
-        {
-            let err_string = format!(
-                "max range check input {:?} is too large",
-                min_max_range_checks
-            );
+        if max_range_size.abs() > MAX_LOOKUP_ABS {
+            let err_string = format!("max range check size {:?} is too large", max_range_size);
             return Err(err_string.into());
         }
 
-        let safe_lookup_range = Self::calc_safe_lookup_range(min_max_lookup, lookup_safety_margin);
-        // pick the range with the largest absolute size between safe_lookup_range and min_max_range_checks
-        let safe_range = if (safe_lookup_range.1 - safe_lookup_range.0)
-            > (min_max_range_checks.1 - min_max_range_checks.0)
-        {
-            safe_lookup_range
-        } else {
-            min_max_range_checks
-        };
+        // These are hard lower limits, we can't overflow instances or modules constraints
+        let instance_logrows = self.settings().log2_total_instances();
+        let module_constraint_logrows = self.settings().module_constraint_logrows();
+        let dynamic_lookup_logrows = self.settings().dynamic_lookup_and_shuffle_logrows();
+        min_logrows = std::cmp::max(
+            min_logrows,
+            // max of the instance logrows and the module constraint logrows and the dynamic lookup logrows is the lower limit
+            *[
+                instance_logrows,
+                module_constraint_logrows,
+                dynamic_lookup_logrows,
+            ]
+            .iter()
+            .max()
+            .unwrap(),
+        );
+
+        // These are upper limits, going above these is wasteful, but they are not hard limits
+        let model_constraint_logrows = self.settings().model_constraint_logrows();
+        let min_bits = self.table_size_logrows(safe_lookup_range, max_range_size)?;
+        let constants_logrows = self.settings().constants_logrows();
+        max_logrows = std::cmp::min(
+            max_logrows,
+            // max of the model constraint logrows, min_bits, and the constants logrows is the upper limit
+            *[model_constraint_logrows, min_bits, constants_logrows]
+                .iter()
+                .max()
+                .unwrap(),
+        );
+
+        // we now have a min and max logrows
+        max_logrows = std::cmp::max(min_logrows, max_logrows);
 
         // degrade the max logrows until the extended k is small enough
         while min_logrows < max_logrows
-            && !self.extended_k_is_small_enough(
-                min_logrows,
-                Self::calc_num_cols(safe_range, min_logrows),
-            )
-        {
-            min_logrows += 1;
-        }
-
-        if !self
-            .extended_k_is_small_enough(min_logrows, Self::calc_num_cols(safe_range, min_logrows))
-        {
-            let err_string = format!(
-                "extended k is too large to accommodate the quotient polynomial with logrows {}",
-                min_logrows
-            );
-            debug!("{}", err_string);
-            return Err(err_string.into());
-        }
-
-        while min_logrows < max_logrows
-            && !self.extended_k_is_small_enough(
-                max_logrows,
-                Self::calc_num_cols(safe_range, max_logrows),
-            )
+            && !self.extended_k_is_small_enough(max_logrows, safe_lookup_range, max_range_size)
         {
             max_logrows -= 1;
         }
 
-        if !self
-            .extended_k_is_small_enough(max_logrows, Self::calc_num_cols(safe_range, max_logrows))
-        {
+        if !self.extended_k_is_small_enough(max_logrows, safe_lookup_range, max_range_size) {
             let err_string = format!(
                 "extended k is too large to accommodate the quotient polynomial with logrows {}",
                 max_logrows
@@ -1113,67 +1160,27 @@ impl GraphCircuit {
             return Err(err_string.into());
         }
 
-        let min_bits = ((safe_range.1 - safe_range.0) as f64 + reserved_blinding_rows + 1.)
-            .log2()
-            .ceil() as usize;
-
-        let min_rows_from_constraints = (self.settings().num_rows as f64 + reserved_blinding_rows)
-            .log2()
-            .ceil() as usize;
-
-        let mut logrows = std::cmp::max(min_bits, min_rows_from_constraints);
-
-        // if public input then public inputs col will have public inputs len
-        if self.settings().run_args.input_visibility.is_public()
-            || self.settings().run_args.output_visibility.is_public()
-        {
-            let mut max_instance_len = self
-                .model()
-                .instance_shapes()?
-                .iter()
-                .fold(0, |acc, x| std::cmp::max(acc, x.iter().product::<usize>()))
-                as f64
-                + reserved_blinding_rows;
-            // if there are modules then we need to add the max module size
-            if self.settings().uses_modules() {
-                max_instance_len += self
-                    .settings()
-                    .module_sizes
-                    .num_instances()
-                    .iter()
-                    .sum::<usize>() as f64;
-            }
-            let instance_len_logrows = (max_instance_len).log2().ceil() as usize;
-            logrows = std::cmp::max(logrows, instance_len_logrows);
-            // this is for fixed const columns
-        }
-
-        // ensure logrows is at least 4
-        logrows = std::cmp::max(logrows, min_logrows as usize);
-        logrows = std::cmp::min(logrows, max_logrows as usize);
+        let logrows = max_logrows;
 
         let model = self.model().clone();
         let settings_mut = self.settings_mut();
         settings_mut.run_args.lookup_range = safe_lookup_range;
-        settings_mut.run_args.logrows = logrows as u32;
+        settings_mut.run_args.logrows = logrows;
 
         *settings_mut = GraphCircuit::new(model, &settings_mut.run_args)?
             .settings()
             .clone();
 
-        // recalculate the total const size give nthe new logrows
-        let total_const_len = settings_mut.total_const_size;
-        let const_len_logrows = (total_const_len as f64).log2().ceil() as u32;
-        settings_mut.run_args.logrows =
-            std::cmp::max(settings_mut.run_args.logrows, const_len_logrows);
-        // recalculate the total number of constraints given the new logrows
-        let min_rows_from_constraints = (settings_mut.num_rows as f64 + reserved_blinding_rows)
-            .log2()
-            .ceil() as u32;
-        settings_mut.run_args.logrows =
-            std::cmp::max(settings_mut.run_args.logrows, min_rows_from_constraints);
-
-        settings_mut.run_args.logrows = std::cmp::min(max_logrows, settings_mut.run_args.logrows);
+        // recalculate the logrows if there has been overflow on the constants
+        settings_mut.run_args.logrows = std::cmp::max(
+            settings_mut.run_args.logrows,
+            settings_mut.constants_logrows(),
+        );
+        // recalculate the logrows if there has been overflow for the model constraints
+        settings_mut.run_args.logrows = std::cmp::max(
+            settings_mut.run_args.logrows,
+            settings_mut.model_constraint_logrows(),
+        );
 
         debug!(
             "setting lookup_range to: {:?}, setting logrows to: {}",
@@ -1184,12 +1191,48 @@ impl GraphCircuit {
         Ok(())
     }
 
-    fn extended_k_is_small_enough(&self, k: u32, num_lookup_cols: usize) -> bool {
-        let max_degree = self.settings().run_args.num_inner_cols + 2;
-        let max_lookup_degree = LOOKUP_DEG + num_lookup_cols - 1; // num_lookup_cols - 1 is the degree of the lookup synthetic selector
+    fn extended_k_is_small_enough(
+        &self,
+        k: u32,
+        safe_lookup_range: Range,
+        max_range_size: i128,
+    ) -> bool {
+        // if num cols is too large then the extended k is too large
+        if Self::calc_num_cols(safe_lookup_range.1 - safe_lookup_range.0, k) > MAX_NUM_LOOKUP_COLS
+            || Self::calc_num_cols(max_range_size, k) > MAX_NUM_LOOKUP_COLS
+        {
+            return false;
+        }
 
-        let max_degree = std::cmp::max(max_degree, max_lookup_degree);
+        let mut settings = self.settings().clone();
+        settings.run_args.lookup_range = safe_lookup_range;
+        settings.run_args.logrows = k;
+        settings.required_range_checks = vec![(0, max_range_size)];
+        let mut cs = ConstraintSystem::default();
+        // if unix get a gag
+        #[cfg(unix)]
+        let _r = match Gag::stdout() {
+            Ok(g) => Some(g),
+            _ => None,
+        };
+        #[cfg(unix)]
+        let _g = match Gag::stderr() {
+            Ok(g) => Some(g),
+            _ => None,
+        };
+
+        Self::configure_with_params(&mut cs, settings);
+
+        // drop the gag
+        #[cfg(unix)]
+        drop(_r);
+        #[cfg(unix)]
+        drop(_g);
+
+        #[cfg(feature = "mv-lookup")]
+        let cs = cs.chunk_lookups();
         // quotient_poly_degree * params.n - 1 is the degree of the quotient polynomial
+        let max_degree = cs.degree();
         let quotient_poly_degree = (max_degree - 1) as u64;
         // n = 2^k
         let n = 1u64 << k;
@@ -1204,29 +1247,13 @@ impl GraphCircuit {
         true
     }
 
-    /// Calibrate the circuit to the supplied data.
-    pub fn calibrate_from_min_max(
-        &mut self,
-        min_max_lookup: Range,
-        min_max_range_checks: Range,
-        max_logrows: Option<u32>,
-        lookup_safety_margin: i128,
-    ) -> Result<(), Box<dyn std::error::Error>> {
-        self.calc_min_logrows(
-            min_max_lookup,
-            min_max_range_checks,
-            max_logrows,
-            lookup_safety_margin,
-        )?;
-        Ok(())
-    }
-
     /// Runs the forward pass of the model / graph of computations and any associated hashing.
     pub fn forward(
         &self,
         inputs: &mut [Tensor<Fp>],
         vk: Option<&VerifyingKey<G1Affine>>,
         srs: Option<&ParamsKZG<Bn256>>,
+        throw_range_check_error: bool,
     ) -> Result<GraphWitness, Box<dyn std::error::Error>> {
         let original_inputs = inputs.to_vec();
 
@@ -1267,7 +1294,9 @@ impl GraphCircuit {
             }
         }
 
-        let mut model_results = self.model().forward(inputs, &self.settings().run_args)?;
+        let mut model_results =
+            self.model()
+                .forward(inputs, &self.settings().run_args, throw_range_check_error)?;
 
         if visibility.output.requires_processing() {
             let module_outlets = visibility.output.overwrites_inputs();
@@ -1310,8 +1339,7 @@ impl GraphCircuit {
             processed_outputs,
             max_lookup_inputs: model_results.max_lookup_inputs,
             min_lookup_inputs: model_results.min_lookup_inputs,
-            max_range_check: model_results.max_range_check,
-            min_range_check: model_results.min_range_check,
+            max_range_size: model_results.max_range_size,
         };
 
         witness.generate_rescaled_elements(
@@ -1518,34 +1546,18 @@ impl Circuit<Fp> for GraphCircuit {
             params.run_args.logrows as usize,
         );
 
-        let mut vars = ModelVars::new(
-            cs,
-            params.run_args.logrows as usize,
-            params.total_assignments,
-            params.run_args.num_inner_cols,
-            params.total_const_size,
-            params.module_requires_fixed(),
-        );
+        let mut vars = ModelVars::new(cs, &params);
 
         module_configs.configure_complex_modules(cs, visibility, params.module_sizes.clone());
 
         vars.instantiate_instance(
             cs,
-            params.model_instance_shapes,
+            params.model_instance_shapes.clone(),
             params.run_args.input_scale,
             module_configs.instance,
         );
 
-        let base = Model::configure(
-            cs,
-            &vars,
-            params.run_args.lookup_range,
-            params.run_args.logrows as usize,
-            params.required_lookups,
-            params.required_range_checks,
-            params.check_mode,
-        )
-        .unwrap();
+        let base = Model::configure(cs, &vars, &params).unwrap();
 
         let model_config = ModelConfig { base, vars };
 

src/graph/model.rs

@@ -67,10 +67,8 @@ pub struct ForwardResult {
     pub max_lookup_inputs: i128,
     /// The minimum value of any input to a lookup operation.
     pub min_lookup_inputs: i128,
-    /// The max range check value
-    pub max_range_check: i128,
-    /// The min range check value
-    pub min_range_check: i128,
+    /// The max range check size
+    pub max_range_size: i128,
 }
 
 impl From<DummyPassRes> for ForwardResult {
@@ -79,8 +77,7 @@ impl From<DummyPassRes> for ForwardResult {
             outputs: res.outputs,
             max_lookup_inputs: res.max_lookup_inputs,
             min_lookup_inputs: res.min_lookup_inputs,
-            min_range_check: res.min_range_check,
-            max_range_check: res.max_range_check,
+            max_range_size: res.max_range_size,
         }
     }
 }
@@ -102,6 +99,14 @@ pub type NodeGraph = BTreeMap<usize, NodeType>;
 pub struct DummyPassRes {
     /// number of rows use
     pub num_rows: usize,
+    /// num dynamic lookups
+    pub num_dynamic_lookups: usize,
+    /// dynamic lookup col size
+    pub dynamic_lookup_col_coord: usize,
+    /// num shuffles
+    pub num_shuffles: usize,
+    /// shuffle
+    pub shuffle_col_coord: usize,
     /// linear coordinate
     pub linear_coord: usize,
     /// total const size
@@ -115,9 +120,7 @@ pub struct DummyPassRes {
     /// min lookup inputs
     pub min_lookup_inputs: i128,
     /// min range check
-    pub min_range_check: i128,
-    /// max range check
-    pub max_range_check: i128,
+    pub max_range_size: i128,
     /// outputs
     pub outputs: Vec<Tensor<Fp>>,
 }
@@ -531,7 +534,7 @@ impl Model {
             })
             .collect::<Result<Vec<_>, Box<dyn Error>>>()?;
 
-        let res = self.dummy_layout(run_args, &inputs)?;
+        let res = self.dummy_layout(run_args, &inputs, false)?;
 
         // if we're using percentage tolerance, we need to add the necessary range check ops for it.
 
@@ -545,6 +548,10 @@ impl Model {
             required_range_checks: res.range_checks.into_iter().collect(),
             model_output_scales: self.graph.get_output_scales()?,
             model_input_scales: self.graph.get_input_scales(),
+            num_dynamic_lookups: res.num_dynamic_lookups,
+            total_dynamic_col_size: res.dynamic_lookup_col_coord,
+            num_shuffles: res.num_shuffles,
+            total_shuffle_col_size: res.shuffle_col_coord,
             total_const_size: res.total_const_size,
             check_mode,
             version: env!("CARGO_PKG_VERSION").to_string(),
@@ -570,12 +577,13 @@ impl Model {
         &self,
         model_inputs: &[Tensor<Fp>],
         run_args: &RunArgs,
+        throw_range_check_error: bool,
     ) -> Result<ForwardResult, Box<dyn Error>> {
         let valtensor_inputs: Vec<ValTensor<Fp>> = model_inputs
             .iter()
             .map(|x| x.map(|elem| ValType::Value(Value::known(elem))).into())
             .collect();
-        let res = self.dummy_layout(run_args, &valtensor_inputs)?;
+        let res = self.dummy_layout(run_args, &valtensor_inputs, throw_range_check_error)?;
         Ok(res.into())
     }
 
@@ -1007,24 +1015,24 @@ impl Model {
     /// # Arguments
     /// * `meta` - The constraint system.
     /// * `vars` - The variables for the circuit.
-    /// * `run_args` - [RunArgs]
-    /// * `required_lookups` - The required lookup operations for the circuit.
+    /// * `settings` - [GraphSettings]
     pub fn configure(
         meta: &mut ConstraintSystem<Fp>,
         vars: &ModelVars<Fp>,
-        lookup_range: Range,
-        logrows: usize,
-        required_lookups: Vec<LookupOp>,
-        required_range_checks: Vec<Range>,
-        check_mode: CheckMode,
+        settings: &GraphSettings,
     ) -> Result<PolyConfig<Fp>, Box<dyn Error>> {
-        info!("configuring model");
+        debug!("configuring model");
+
+        let lookup_range = settings.run_args.lookup_range;
+        let logrows = settings.run_args.logrows as usize;
+        let required_lookups = settings.required_lookups.clone();
+        let required_range_checks = settings.required_range_checks.clone();
 
         let mut base_gate = PolyConfig::configure(
             meta,
             vars.advices[0..2].try_into()?,
             &vars.advices[2],
-            check_mode,
+            settings.check_mode,
         );
         // set scale for HybridOp::RangeCheck and call self.conf_lookup on that op for percentage tolerance case
         let input = &vars.advices[0];
@@ -1038,6 +1046,22 @@ impl Model {
             base_gate.configure_range_check(meta, input, index, range, logrows)?;
         }
 
+        if settings.requires_dynamic_lookup() {
+            base_gate.configure_dynamic_lookup(
+                meta,
+                vars.advices[0..3].try_into()?,
+                vars.advices[3..6].try_into()?,
+            )?;
+        }
+
+        if settings.requires_shuffle() {
+            base_gate.configure_shuffles(
+                meta,
+                vars.advices[0..2].try_into()?,
+                vars.advices[3..5].try_into()?,
+            )?;
+        }
+
         Ok(base_gate)
     }
 
@@ -1356,6 +1380,7 @@ impl Model {
         &self,
         run_args: &RunArgs,
         inputs: &[ValTensor<Fp>],
+        throw_range_check_error: bool,
     ) -> Result<DummyPassRes, Box<dyn Error>> {
         debug!("calculating num of constraints using dummy model layout...");
 
@@ -1374,7 +1399,7 @@ impl Model {
             vars: ModelVars::new_dummy(),
         };
 
-        let mut region = RegionCtx::new_dummy(0, run_args.num_inner_cols);
+        let mut region = RegionCtx::new_dummy(0, run_args.num_inner_cols, throw_range_check_error);
 
         let outputs = self.layout_nodes(&mut model_config, &mut region, &mut results)?;
 
@@ -1441,8 +1466,11 @@ impl Model {
             range_checks: region.used_range_checks(),
             max_lookup_inputs: region.max_lookup_inputs(),
             min_lookup_inputs: region.min_lookup_inputs(),
-            min_range_check: region.min_range_check(),
-            max_range_check: region.max_range_check(),
+            max_range_size: region.max_range_size(),
+            num_dynamic_lookups: region.dynamic_lookup_index(),
+            dynamic_lookup_col_coord: region.dynamic_lookup_col_coord(),
+            num_shuffles: region.shuffle_index(),
+            shuffle_col_coord: region.shuffle_col_coord(),
             outputs,
         };
 

src/graph/utilities.rs

@@ -734,7 +734,7 @@ pub fn new_op_from_onnx(
             SupportedOp::Hybrid(HybridOp::Recip {
                 input_scale: (scale_to_multiplier(in_scale) as f32).into(),
                 output_scale: (scale_to_multiplier(max_scale) as f32).into(),
-                use_range_check_for_int: false,
+                use_range_check_for_int: true,
             })
         }
 

src/graph/vars.rs

@@ -420,20 +420,34 @@ impl<F: PrimeField + TensorType + PartialOrd> ModelVars<F> {
     }
 
     /// Allocate all columns that will be assigned to by a model.
-    pub fn new(
-        cs: &mut ConstraintSystem<F>,
-        logrows: usize,
-        var_len: usize,
-        num_inner_cols: usize,
-        num_constants: usize,
-        module_requires_fixed: bool,
-    ) -> Self {
+    pub fn new(cs: &mut ConstraintSystem<F>, params: &GraphSettings) -> Self {
         debug!("number of blinding factors: {}", cs.blinding_factors());
 
-        let advices = (0..3)
+        let logrows = params.run_args.logrows as usize;
+        let var_len = params.total_assignments;
+        let num_inner_cols = params.run_args.num_inner_cols;
+        let num_constants = params.total_const_size;
+        let module_requires_fixed = params.module_requires_fixed();
+        let requires_dynamic_lookup = params.requires_dynamic_lookup();
+        let requires_shuffle = params.requires_shuffle();
+        let dynamic_lookup_and_shuffle_size = params.dynamic_lookup_and_shuffle_col_size();
+
+        let mut advices = (0..3)
             .map(|_| VarTensor::new_advice(cs, logrows, num_inner_cols, var_len))
             .collect_vec();
 
+        if requires_dynamic_lookup || requires_shuffle {
+            let num_cols = if requires_dynamic_lookup { 3 } else { 2 };
+            for _ in 0..num_cols {
+                let dynamic_lookup =
+                    VarTensor::new_advice(cs, logrows, 1, dynamic_lookup_and_shuffle_size);
+                if dynamic_lookup.num_blocks() > 1 {
+                    panic!("dynamic lookup or shuffle should only have one block");
+                };
+                advices.push(dynamic_lookup);
+            }
+        }
+
         debug!(
             "model uses {} advice blocks (size={})",
             advices.iter().map(|v| v.num_blocks()).sum::<usize>(),

src/lib.rs

@@ -180,6 +180,9 @@ impl RunArgs {
         if self.num_inner_cols < 1 {
             return Err("num_inner_cols must be >= 1".into());
         }
+        if self.tolerance.val > 0.0 && self.output_visibility != Visibility::Public {
+            return Err("tolerance > 0.0 requires output_visibility to be public".into());
+        }
         Ok(())
     }
 

src/pfsys/mod.rs

@@ -484,7 +484,7 @@ where
 pub fn create_keys<Scheme: CommitmentScheme, F: PrimeField + TensorType, C: Circuit<F>>(
     circuit: &C,
     params: &'_ Scheme::ParamsProver,
-    compress_selectors: bool,
+    disable_selector_compression: bool,
 ) -> Result<ProvingKey<Scheme::Curve>, halo2_proofs::plonk::Error>
 where
     C: Circuit<Scheme::Scalar>,
@@ -496,7 +496,7 @@ where
     // Initialize verifying key
     let now = Instant::now();
     trace!("preparing VK");
-    let vk = keygen_vk_custom(params, &empty_circuit, compress_selectors)?;
+    let vk = keygen_vk_custom(params, &empty_circuit, !disable_selector_compression)?;
     let elapsed = now.elapsed();
     info!("VK took {}.{}", elapsed.as_secs(), elapsed.subsec_millis());
 

src/python.rs

@@ -622,7 +622,7 @@ fn mock_aggregate(
     pk_path=PathBuf::from(DEFAULT_PK),
     srs_path=None,
     witness_path = None,
-    compress_selectors=DEFAULT_COMPRESS_SELECTORS.parse().unwrap(),
+    disable_selector_compression=DEFAULT_DISABLE_SELECTOR_COMPRESSION.parse().unwrap(),
 ))]
 fn setup(
     model: PathBuf,
@@ -630,7 +630,7 @@ fn setup(
     pk_path: PathBuf,
     srs_path: Option<PathBuf>,
     witness_path: Option<PathBuf>,
-    compress_selectors: bool,
+    disable_selector_compression: bool,
 ) -> Result<bool, PyErr> {
     crate::execute::setup(
         model,
@@ -638,7 +638,7 @@ fn setup(
         vk_path,
         pk_path,
         witness_path,
-        compress_selectors,
+        disable_selector_compression,
     )
     .map_err(|e| {
         let err_str = format!("Failed to run setup: {}", e);
@@ -719,7 +719,7 @@ fn verify(
     logrows=DEFAULT_AGGREGATED_LOGROWS.parse().unwrap(),
     split_proofs = false,
     srs_path = None,
-    compress_selectors=DEFAULT_COMPRESS_SELECTORS.parse().unwrap(),
+    disable_selector_compression=DEFAULT_DISABLE_SELECTOR_COMPRESSION.parse().unwrap(),
 ))]
 fn setup_aggregate(
     sample_snarks: Vec<PathBuf>,
@@ -728,7 +728,7 @@ fn setup_aggregate(
     logrows: u32,
     split_proofs: bool,
     srs_path: Option<PathBuf>,
-    compress_selectors: bool,
+    disable_selector_compression: bool,
 ) -> Result<bool, PyErr> {
     crate::execute::setup_aggregate(
         sample_snarks,
@@ -737,7 +737,7 @@ fn setup_aggregate(
         srs_path,
         logrows,
         split_proofs,
-        compress_selectors,
+        disable_selector_compression,
     )
     .map_err(|e| {
         let err_str = format!("Failed to setup aggregate: {}", e);

src/tensor/mod.rs

@@ -1526,18 +1526,20 @@ pub fn get_broadcasted_shape(
     let num_dims_a = shape_a.len();
     let num_dims_b = shape_b.len();
 
-    // reewrite the below using match
-    if num_dims_a == num_dims_b {
-        let mut broadcasted_shape = Vec::with_capacity(num_dims_a);
-        for (dim_a, dim_b) in shape_a.iter().zip(shape_b.iter()) {
-            let max_dim = dim_a.max(dim_b);
-            broadcasted_shape.push(*max_dim);
+    match (num_dims_a, num_dims_b) {
+        (a, b) if a == b => {
+            let mut broadcasted_shape = Vec::with_capacity(num_dims_a);
+            for (dim_a, dim_b) in shape_a.iter().zip(shape_b.iter()) {
+                let max_dim = dim_a.max(dim_b);
+                broadcasted_shape.push(*max_dim);
+            }
+            Ok(broadcasted_shape)
         }
-        Ok(broadcasted_shape)
-    } else if num_dims_a < num_dims_b {
-        Ok(shape_b.to_vec())
-    } else {
-        Ok(shape_a.to_vec())
+        (a, b) if a < b => Ok(shape_b.to_vec()),
+        (a, b) if a > b => Ok(shape_a.to_vec()),
+        _ => Err(Box::new(TensorError::DimError(
+            "Unknown condition for broadcasting".to_string(),
+        ))),
     }
 }
 ////////////////////////

src/tensor/ops.rs

@@ -3773,6 +3773,30 @@ pub mod nonlinearities {
         .unwrap()
     }
 
+    /// Elementwise inverse.
+    /// # Arguments
+    /// * `out_scale` - Single value
+    /// # Examples
+    /// ```
+    /// use ezkl::tensor::Tensor;
+    /// use ezkl::tensor::ops::nonlinearities::zero_recip;
+    /// let k = 2_f64;
+    /// let result = zero_recip(1.0);
+    /// let expected = Tensor::<i128>::new(Some(&[4503599627370496]), &[1]).unwrap();
+    /// assert_eq!(result, expected);
+    /// ```
+    pub fn zero_recip(out_scale: f64) -> Tensor<i128> {
+        let a = Tensor::<i128>::new(Some(&[0]), &[1]).unwrap();
+
+        a.par_enum_map(|_, a_i| {
+            let rescaled = a_i as f64;
+            let denom = (1_f64) / (rescaled + f64::EPSILON);
+            let d_inv_x = out_scale * denom;
+            Ok::<_, TensorError>(d_inv_x.round() as i128)
+        })
+        .unwrap()
+    }
+
     /// Elementwise greater than
     /// # Arguments
     ///

src/tensor/val.rs

@@ -4,6 +4,37 @@ use super::{
 };
 use halo2_proofs::{arithmetic::Field, plonk::Instance};
 
+pub(crate) fn create_constant_tensor<
+    F: PrimeField + TensorType + std::marker::Send + std::marker::Sync + PartialOrd,
+>(
+    val: F,
+    len: usize,
+) -> ValTensor<F> {
+    let mut constant = Tensor::from(vec![ValType::Constant(val); len].into_iter());
+    constant.set_visibility(&crate::graph::Visibility::Fixed);
+    ValTensor::from(constant)
+}
+
+pub(crate) fn create_unit_tensor<
+    F: PrimeField + TensorType + std::marker::Send + std::marker::Sync + PartialOrd,
+>(
+    len: usize,
+) -> ValTensor<F> {
+    let mut unit = Tensor::from(vec![ValType::Constant(F::ONE); len].into_iter());
+    unit.set_visibility(&crate::graph::Visibility::Fixed);
+    ValTensor::from(unit)
+}
+
+pub(crate) fn create_zero_tensor<
+    F: PrimeField + TensorType + std::marker::Send + std::marker::Sync + PartialOrd,
+>(
+    len: usize,
+) -> ValTensor<F> {
+    let mut zero = Tensor::from(vec![ValType::Constant(F::ZERO); len].into_iter());
+    zero.set_visibility(&crate::graph::Visibility::Fixed);
+    ValTensor::from(zero)
+}
+
 #[derive(Debug, Clone)]
 /// A [ValType] is a wrapper around Halo2 value(s).
 pub enum ValType<F: PrimeField + TensorType + std::marker::Send + std::marker::Sync + PartialOrd> {
@@ -318,6 +349,19 @@ impl<F: PrimeField + TensorType + PartialOrd> ValTensor<F> {
         matches!(self, ValTensor::Instance { .. })
     }
 
+    /// reverse order of elements whilst preserving the shape
+    pub fn reverse(&mut self) -> Result<(), Box<dyn Error>> {
+        match self {
+            ValTensor::Value { inner: v, .. } => {
+                v.reverse();
+            }
+            ValTensor::Instance { .. } => {
+                return Err(Box::new(TensorError::WrongMethod));
+            }
+        };
+        Ok(())
+    }
+
     ///
     pub fn set_initial_instance_offset(&mut self, offset: usize) {
         if let ValTensor::Instance { initial_offset, .. } = self {

src/wasm.rs

@@ -78,6 +78,17 @@ pub fn feltToBigEndian(array: wasm_bindgen::Clamped<Vec<u8>>) -> Result<String,
     Ok(format!("{:?}", felt))
 }
 
+/// Converts a felt to a little endian string
+#[wasm_bindgen]
+#[allow(non_snake_case)]
+pub fn feltToLittleEndian(array: wasm_bindgen::Clamped<Vec<u8>>) -> Result<String, JsError> {
+    let felt: Fr = serde_json::from_slice(&array[..])
+        .map_err(|e| JsError::new(&format!("Failed to deserialize field element: {}", e)))?;
+    let repr = serde_json::to_string(&felt).unwrap();
+    let b: String = serde_json::from_str(&repr).unwrap();
+    Ok(b)
+}
+
 /// Converts a hex string to a byte array
 #[wasm_bindgen]
 #[allow(non_snake_case)]
@@ -211,7 +222,7 @@ pub fn genWitness(
         .map_err(|e| JsError::new(&format!("{}", e)))?;
 
     let witness = circuit
-        .forward(&mut input, None, None)
+        .forward(&mut input, None, None, false)
         .map_err(|e| JsError::new(&format!("{}", e)))?;
 
     serde_json::to_vec(&witness)

tests/integration_tests.rs

@@ -2,6 +2,7 @@
 #[cfg(test)]
 mod native_tests {
 
+    use ezkl::circuit::Tolerance;
     use ezkl::fieldutils::{felt_to_i128, i128_to_felt};
     // use ezkl::circuit::table::RESERVED_BLINDING_ROWS_PAD;
     use ezkl::graph::input::{FileSource, FileSourceInner, GraphData};
@@ -276,7 +277,7 @@ mod native_tests {
         "bitshift",
     ];
 
-    const WASM_TESTS: [&str; 48] = [
+    const WASM_TESTS: [&str; 46] = [
         "1l_mlp",
         "1l_slice",
         "1l_concat",
@@ -325,8 +326,6 @@ mod native_tests {
         "1l_where",
         "boolean",
         "boolean_identity",
-        "decision_tree", // "variable_cnn",
-        "random_forest",
         "gradient_boosted_trees",
         "1l_topk",
         // "xgboost",
@@ -586,6 +585,8 @@ mod native_tests {
                 test_dir.close().unwrap();
             }
 
+
+
             #(#[test_case(TESTS[N])])*
             fn mock_large_batch_public_outputs_(test: &str) {
                 crate::native_tests::init_binary();
@@ -841,7 +842,7 @@ mod native_tests {
 
             });
 
-            seq!(N in 0..=47 {
+            seq!(N in 0..=45 {
 
                 #(#[test_case(WASM_TESTS[N])])*
                 fn kzg_prove_and_verify_with_overflow_(test: &str) {
@@ -1288,6 +1289,7 @@ mod native_tests {
         scales_to_use: Option<Vec<u32>>,
         tolerance: f32,
     ) {
+        let mut tolerance = tolerance;
         gen_circuit_settings_and_witness(
             test_dir,
             example_name.clone(),
@@ -1299,16 +1301,10 @@ mod native_tests {
             scales_to_use,
             2,
             false,
-            tolerance,
+            &mut tolerance,
         );
 
-        let settings =
-            GraphSettings::load(&format!("{}/{}/settings.json", test_dir, example_name).into())
-                .unwrap();
-
-        let any_output_scales_smol = settings.model_output_scales.iter().any(|s| *s <= 0);
-
-        if tolerance > 0.0 && !any_output_scales_smol {
+        if tolerance > 0.0 {
             // load witness and shift the output by a small amount that is less than tolerance percent
             let witness = GraphWitness::from_path(
                 format!("{}/{}/witness.json", test_dir, example_name).into(),
@@ -1333,7 +1329,7 @@ mod native_tests {
                                         as i128,
                                 )
                             };
-                            
+
                             *v + perturbation
                         })
                         .collect::<Vec<_>>()
@@ -1444,7 +1440,7 @@ mod native_tests {
         scales_to_use: Option<Vec<u32>>,
         num_inner_columns: usize,
         div_rebasing: bool,
-        tolerance: f32,
+        tolerance: &mut f32,
     ) {
         let mut args = vec![
             "gen-settings".to_string(),
@@ -1502,6 +1498,24 @@ mod native_tests {
             .expect("failed to execute process");
         assert!(status.success());
 
+        let mut settings =
+            GraphSettings::load(&format!("{}/{}/settings.json", test_dir, example_name).into())
+                .unwrap();
+
+        let any_output_scales_smol = settings.model_output_scales.iter().any(|s| *s <= 0);
+
+        if any_output_scales_smol {
+            // set the tolerance to 0.0
+            settings.run_args.tolerance = Tolerance {
+                val: 0.0,
+                scale: 0.0.into(),
+            };
+            settings
+                .save(&format!("{}/{}/settings.json", test_dir, example_name).into())
+                .unwrap();
+            *tolerance = 0.0;
+        }
+
         let status = Command::new(format!("{}/release/ezkl", *CARGO_TARGET_DIR))
             .args([
                 "compile-circuit",
@@ -1559,7 +1573,7 @@ mod native_tests {
             None,
             2,
             div_rebasing,
-            0.0,
+            &mut 0.0,
         );
 
         println!(
@@ -1819,7 +1833,7 @@ mod native_tests {
             scales_to_use,
             num_inner_columns,
             false,
-            0.0,
+            &mut 0.0,
         );
 
         let settings_path = format!("{}/{}/settings.json", test_dir, example_name);
@@ -1835,6 +1849,7 @@ mod native_tests {
                 &format!("{}/{}/key.pk", test_dir, example_name),
                 "--vk-path",
                 &format!("{}/{}/key.vk", test_dir, example_name),
+                "--disable-selector-compression",
             ])
             .status()
             .expect("failed to execute process");
@@ -1921,7 +1936,7 @@ mod native_tests {
             None,
             2,
             false,
-            0.0,
+            &mut 0.0,
         );
 
         let status = Command::new(format!("{}/release/ezkl", *CARGO_TARGET_DIR))
@@ -2198,7 +2213,7 @@ mod native_tests {
             Some(vec![4]),
             1,
             false,
-            0.0,
+            &mut 0.0,
         );
 
         let model_path = format!("{}/{}/network.compiled", test_dir, example_name);

tests/output_comparison.py

@@ -91,9 +91,7 @@ def compare_outputs(zk_output, onnx_output):
                 print("------- zk_output: ", list1_i)
                 print("------- onnx_output: ", list2_i)
 
-
-
-    return np.mean(np.abs(res))
+    return res
 
 
 if __name__ == '__main__':
@@ -113,6 +111,9 @@ if __name__ == '__main__':
     onnx_output = get_onnx_output(model_file, input_file)
     # compare the outputs
     percentage_difference = compare_outputs(ezkl_output, onnx_output)
+    mean_percentage_difference = np.mean(np.abs(percentage_difference))
+    max_percentage_difference = np.max(np.abs(percentage_difference))
     # print the percentage difference
-    print("mean percent diff: ", percentage_difference)
-    assert percentage_difference < target, "Percentage difference is too high"
+    print("mean percent diff: ", mean_percentage_difference)
+    print("max percent diff: ", max_percentage_difference)
+    assert mean_percentage_difference < target, "Percentage difference is too high"

tests/wasm.rs

@@ -9,8 +9,8 @@ mod wasm32 {
     use ezkl::pfsys;
     use ezkl::wasm::{
         bufferToVecOfFelt, compiledCircuitValidation, encodeVerifierCalldata, feltToBigEndian,
-        feltToFloat, feltToInt, genPk, genVk, genWitness, inputValidation, pkValidation,
-        poseidonHash, proofValidation, prove, settingsValidation, srsValidation,
+        feltToFloat, feltToInt, feltToLittleEndian, genPk, genVk, genWitness, inputValidation,
+        pkValidation, poseidonHash, proofValidation, prove, settingsValidation, srsValidation,
         u8_array_to_u128_le, verify, vkValidation, witnessValidation,
     };
     use halo2_solidity_verifier::encode_calldata;
@@ -89,9 +89,16 @@ mod wasm32 {
                     .unwrap();
             assert_eq!(integer, i as i128);
 
-            let hex_string = format!("{:?}", field_element);
-            let returned_string: String = feltToBigEndian(clamped).map_err(|_| "failed").unwrap();
+            let hex_string = format!("{:?}", field_element.clone());
+            let returned_string: String = feltToBigEndian(clamped.clone())
+                .map_err(|_| "failed")
+                .unwrap();
             assert_eq!(hex_string, returned_string);
+            let repr = serde_json::to_string(&field_element).unwrap();
+            let little_endian_string: String = serde_json::from_str(&repr).unwrap();
+            let returned_string: String =
+                feltToLittleEndian(clamped).map_err(|_| "failed").unwrap();
+            assert_eq!(little_endian_string, returned_string);
         }
     }
 

tests/wasm/settings.json

@@ -27,6 +27,10 @@
         "check_mode": "UNSAFE"
     },
     "num_rows": 16,
+    "total_dynamic_col_size": 0,
+    "num_dynamic_lookups": 0,
+    "num_shuffles": 0,
+    "total_shuffle_col_size": 0,
     "total_assignments": 32,
     "total_const_size": 8,
     "model_instance_shapes": [

tests/wasm/testWasm.test.ts

@@ -38,7 +38,10 @@ describe('Generate witness, prove and verify', () => {
         let pk = await readEzklArtifactsFile(path, example, 'key.pk');
         let circuit_ser = await readEzklArtifactsFile(path, example, 'network.compiled');
         circuit_settings_ser = await readEzklArtifactsFile(path, example, 'settings.json');
-        params_ser = await readEzklSrsFile(path, example);
+        // get the log rows from the circuit settings
+        const circuit_settings = deserialize(circuit_settings_ser) as any;
+        const logrows = circuit_settings.run_args.logrows as string;
+        params_ser = await readEzklSrsFile(logrows);
         const startTimeProve = Date.now();
         result = wasmFunctions.prove(witness, pk, circuit_ser, params_ser);
         const endTimeProve = Date.now();
@@ -54,6 +57,7 @@ describe('Generate witness, prove and verify', () => {
         let result
         const vk = await readEzklArtifactsFile(path, example, 'key.vk');
         const startTimeVerify = Date.now();
+        params_ser = await readEzklSrsFile("1");
         result = wasmFunctions.verify(proof_ser, vk, circuit_settings_ser, params_ser);
         const result_ref = wasmFunctions.verify(proof_ser_ref, vk, circuit_settings_ser, params_ser);
         const endTimeVerify = Date.now();

tests/wasm/utils.ts

@@ -16,15 +16,7 @@ export async function readEzklArtifactsFile(path: string, example: string, filen
   return new Uint8ClampedArray(buffer.buffer);
 }
 
-export async function readEzklSrsFile(path: string, example: string): Promise<Uint8ClampedArray> {
-  // const settingsPath = path.join(__dirname, '..', '..', 'ezkl', 'examples', 'onnx', example, 'settings.json');
-
-  const settingsPath = `${path}/${example}/settings.json`
-  const settingsBuffer = await fs.readFile(settingsPath, { encoding: 'utf-8' });
-  const settings = JSONBig.parse(settingsBuffer);
-  const logrows = settings.run_args.logrows;
-  // const filePath = path.join(__dirname, '..', '..', 'ezkl', 'examples', 'onnx', `kzg${logrows}.srs`);
-  // srs path is at $HOME/.ezkl/srs
+export async function readEzklSrsFile(logrows: string): Promise<Uint8ClampedArray> {
   const filePath = `${userHomeDir}/.ezkl/srs/kzg${logrows}.srs`
   const buffer = await fs.readFile(filePath);
   return new Uint8ClampedArray(buffer.buffer);

tests/wasm/witness.json

@@ -1 +1 @@
-{"inputs":[["0200000000000000000000000000000000000000000000000000000000000000","0100000000000000000000000000000000000000000000000000000000000000","0100000000000000000000000000000000000000000000000000000000000000"]],"pretty_elements":{"rescaled_inputs":[["2","1","1"]],"inputs":[["0x0000000000000000000000000000000000000000000000000000000000000002","0x0000000000000000000000000000000000000000000000000000000000000001","0x0000000000000000000000000000000000000000000000000000000000000001"]],"processed_inputs":[],"processed_params":[],"processed_outputs":[],"rescaled_outputs":[["0","0","0","0"]],"outputs":[["0x0000000000000000000000000000000000000000000000000000000000000000","0x0000000000000000000000000000000000000000000000000000000000000000","0x0000000000000000000000000000000000000000000000000000000000000000","0x0000000000000000000000000000000000000000000000000000000000000000"]]},"outputs":[["0000000000000000000000000000000000000000000000000000000000000000","0000000000000000000000000000000000000000000000000000000000000000","0000000000000000000000000000000000000000000000000000000000000000","0000000000000000000000000000000000000000000000000000000000000000"]],"processed_inputs":null,"processed_params":null,"processed_outputs":null,"max_lookup_inputs":0,"min_lookup_inputs":-1,"max_range_check":0,"min_range_check":0}
+{"inputs":[["0200000000000000000000000000000000000000000000000000000000000000","0100000000000000000000000000000000000000000000000000000000000000","0100000000000000000000000000000000000000000000000000000000000000"]],"pretty_elements":{"rescaled_inputs":[["2","1","1"]],"inputs":[["0x0000000000000000000000000000000000000000000000000000000000000002","0x0000000000000000000000000000000000000000000000000000000000000001","0x0000000000000000000000000000000000000000000000000000000000000001"]],"processed_inputs":[],"processed_params":[],"processed_outputs":[],"rescaled_outputs":[["0","0","0","0"]],"outputs":[["0x0000000000000000000000000000000000000000000000000000000000000000","0x0000000000000000000000000000000000000000000000000000000000000000","0x0000000000000000000000000000000000000000000000000000000000000000","0x0000000000000000000000000000000000000000000000000000000000000000"]]},"outputs":[["0000000000000000000000000000000000000000000000000000000000000000","0000000000000000000000000000000000000000000000000000000000000000","0000000000000000000000000000000000000000000000000000000000000000","0000000000000000000000000000000000000000000000000000000000000000"]],"processed_inputs":null,"processed_params":null,"processed_outputs":null,"max_lookup_inputs":0,"min_lookup_inputs":-1,"max_range_size":0}