ci: update version string in docs

.github/workflows/rust.yml

@@ -781,8 +781,6 @@ jobs:
         run: python -m venv .env --clear; source .env/bin/activate; pip install -r requirements.txt; python -m ensurepip --upgrade
       - name: Build python ezkl
         run: source .env/bin/activate; unset CONDA_PREFIX; maturin develop --features python-bindings --profile=test-runs
-      - name: Cat and Dog notebook
-        run: source .env/bin/activate; cargo nextest run py_tests::tests::cat_and_dog_notebook_
       - name: All notebooks
         run: source .env/bin/activate; cargo nextest run py_tests::tests::run_notebook_ --test-threads 1
       - name: Voice tutorial

benches/poseidon.rs

@@ -23,6 +23,8 @@ use halo2curves::bn256::{Bn256, Fr};
 use rand::rngs::OsRng;
 use snark_verifier::system::halo2::transcript::evm::EvmTranscript;
 
+const L: usize = 10;
+
 #[derive(Clone, Debug)]
 struct MyCircuit {
     image: ValTensor<Fr>,
@@ -38,7 +40,7 @@ impl Circuit<Fr> for MyCircuit {
     }
 
     fn configure(cs: &mut ConstraintSystem<Fr>) -> Self::Config {
-        PoseidonChip::<PoseidonSpec, POSEIDON_WIDTH, POSEIDON_RATE>::configure(cs, ())
+        PoseidonChip::<PoseidonSpec, POSEIDON_WIDTH, POSEIDON_RATE, 10>::configure(cs, ())
     }
 
     fn synthesize(
@@ -46,7 +48,7 @@ impl Circuit<Fr> for MyCircuit {
         config: Self::Config,
         mut layouter: impl Layouter<Fr>,
     ) -> Result<(), Error> {
-        let chip: PoseidonChip<PoseidonSpec, POSEIDON_WIDTH, POSEIDON_RATE> =
+        let chip: PoseidonChip<PoseidonSpec, POSEIDON_WIDTH, POSEIDON_RATE, L> =
             PoseidonChip::new(config);
         chip.layout(&mut layouter, &[self.image.clone()], 0, &mut HashMap::new())?;
         Ok(())
@@ -57,7 +59,7 @@ fn runposeidon(c: &mut Criterion) {
     let mut group = c.benchmark_group("poseidon");
 
     for size in [64, 784, 2352, 12288].iter() {
-        let k = (PoseidonChip::<PoseidonSpec, POSEIDON_WIDTH, POSEIDON_RATE>::num_rows(*size)
+        let k = (PoseidonChip::<PoseidonSpec, POSEIDON_WIDTH, POSEIDON_RATE, L>::num_rows(*size)
             as f32)
             .log2()
             .ceil() as u32;
@@ -65,7 +67,7 @@ fn runposeidon(c: &mut Criterion) {
 
         let message = (0..*size).map(|_| Fr::random(OsRng)).collect::<Vec<_>>();
         let _output =
-            PoseidonChip::<PoseidonSpec, POSEIDON_WIDTH, POSEIDON_RATE>::run(message.to_vec())
+            PoseidonChip::<PoseidonSpec, POSEIDON_WIDTH, POSEIDON_RATE, L>::run(message.to_vec())
                 .unwrap();
 
         let mut image = Tensor::from(message.into_iter().map(Value::known));

docs/python/src/conf.py

@@ -1,7 +1,7 @@
 import ezkl
 
 project = 'ezkl'
-release = '20.0.2'
+release = '19.0.8'
 version = release
 
 

examples/notebooks/cat_and_dog_data.sh

@@ -1,13 +0,0 @@
-# download tess data
-# check if first argument has been set 
-if [ ! -z "$1" ]; then
-    DATA_DIR=$1
-else
-    DATA_DIR=data
-fi
-
-echo "Downloading data to $DATA_DIR"
-
-if [ ! -d "$DATA_DIR/CATDOG" ]; then
-    kaggle datasets download tongpython/cat-and-dog -p $DATA_DIR/CATDOG --unzip
-fi

src/bindings/python.rs

@@ -337,8 +337,6 @@ enum PyInputType {
     Int,
     ///
     TDim,
-    ///
-    Unknown,
 }
 
 impl From<InputType> for PyInputType {
@@ -350,7 +348,6 @@ impl From<InputType> for PyInputType {
             InputType::F64 => PyInputType::F64,
             InputType::Int => PyInputType::Int,
             InputType::TDim => PyInputType::TDim,
-            InputType::Unknown => PyInputType::Unknown,
         }
     }
 }
@@ -364,7 +361,6 @@ impl From<PyInputType> for InputType {
             PyInputType::F64 => InputType::F64,
             PyInputType::Int => InputType::Int,
             PyInputType::TDim => InputType::TDim,
-            PyInputType::Unknown => InputType::Unknown,
         }
     }
 }
@@ -379,7 +375,6 @@ impl FromStr for PyInputType {
             "f64" => Ok(PyInputType::F64),
             "int" => Ok(PyInputType::Int),
             "tdim" => Ok(PyInputType::TDim),
-            "unknown" => Ok(PyInputType::Unknown),
             _ => Err("Invalid value for InputType".to_string()),
         }
     }

src/circuit/modules/polycommit.rs

@@ -1,7 +1,7 @@
 /*
 An easy-to-use implementation of the Poseidon Hash in the form of a Halo2 Chip. While the Poseidon Hash function
 is already implemented in halo2_gadgets, there is no wrapper chip that makes it easy to use in other circuits.
-Thanks to https://github.com/summa-dev/summa-solvency/blob/master/zk_prover/src/chips/poseidon/hash.rs for the inspiration (and also helping us understand how to use this).
+Thanks to https://github.com/summa-dev/summa-solvency/blob/master/src/chips/poseidon/hash.rs for the inspiration (and also helping us understand how to use this).
 */
 
 use std::collections::HashMap;

src/circuit/modules/poseidon.rs

@@ -1,7 +1,7 @@
 /*
 An easy-to-use implementation of the Poseidon Hash in the form of a Halo2 Chip. While the Poseidon Hash function
 is already implemented in halo2_gadgets, there is no wrapper chip that makes it easy to use in other circuits.
-Thanks to https://github.com/summa-dev/summa-solvency/blob/master/zk_prover/src/chips/poseidon/hash.rs for the inspiration (and also helping us understand how to use this).
+Thanks to https://github.com/summa-dev/summa-solvency/blob/master/src/chips/poseidon/hash.rs for the inspiration (and also helping us understand how to use this).
 */
 
 pub mod poseidon_params;

src/circuit/ops/mod.rs

@@ -1,8 +1,6 @@
 use std::any::Any;
 
 use serde::{Deserialize, Serialize};
-#[cfg(all(feature = "ezkl", not(target_arch = "wasm32")))]
-use tract_onnx::prelude::DatumType;
 
 use crate::{
     graph::quantize_tensor,
@@ -98,8 +96,6 @@ pub enum InputType {
     Int,
     ///
     TDim,
-    ///
-    Unknown,
 }
 
 impl InputType {
@@ -136,7 +132,6 @@ impl InputType {
                 let int_input = input.clone().to_i64().unwrap();
                 *input = T::from_i64(int_input).unwrap();
             }
-            InputType::Unknown => {}
         }
     }
 }
@@ -157,28 +152,6 @@ impl std::str::FromStr for InputType {
     }
 }
 
-#[cfg(all(feature = "ezkl", not(target_arch = "wasm32")))]
-impl From<DatumType> for InputType {
-    fn from(datum_type: DatumType) -> Self {
-        match datum_type {
-            DatumType::Bool => InputType::Bool,
-            DatumType::F16 => InputType::F16,
-            DatumType::F32 => InputType::F32,
-            DatumType::F64 => InputType::F64,
-            DatumType::I8 => InputType::Int,
-            DatumType::I16 => InputType::Int,
-            DatumType::I32 => InputType::Int,
-            DatumType::I64 => InputType::Int,
-            DatumType::U8 => InputType::Int,
-            DatumType::U16 => InputType::Int,
-            DatumType::U32 => InputType::Int,
-            DatumType::U64 => InputType::Int,
-            DatumType::TDim => InputType::TDim,
-            _ => unimplemented!(),
-        }
-    }
-}
-
 ///
 #[derive(Clone, Debug, PartialEq, Eq, Hash, PartialOrd, Ord, Serialize, Deserialize)]
 pub struct Input {

src/graph/mod.rs

@@ -455,10 +455,6 @@ pub struct GraphSettings {
     pub num_blinding_factors: Option<usize>,
     /// unix time timestamp
     pub timestamp: Option<u128>,
-    /// Model inputs types (if any)
-    pub input_types: Option<Vec<InputType>>,
-    /// Model outputs types (if any)
-    pub output_types: Option<Vec<InputType>>,
 }
 
 impl GraphSettings {

src/graph/model.rs

@@ -379,15 +379,9 @@ pub struct ParsedNodes {
     pub nodes: BTreeMap<usize, NodeType>,
     inputs: Vec<usize>,
     outputs: Vec<Outlet>,
-    output_types: Vec<InputType>,
 }
 
 impl ParsedNodes {
-    /// Returns the output types of the computational graph.
-    pub fn get_output_types(&self) -> Vec<InputType> {
-        self.output_types.clone()
-    }
-
     /// Returns the number of the computational graph's inputs
     pub fn num_inputs(&self) -> usize {
         self.inputs.len()
@@ -497,16 +491,6 @@ impl Model {
         Ok(om)
     }
 
-    /// Gets the input types from the parsed nodes
-    pub fn get_input_types(&self) -> Result<Vec<InputType>, GraphError> {
-        self.graph.get_input_types()
-    }
-
-    /// Gets the output types from the parsed nodes
-    pub fn get_output_types(&self) -> Vec<InputType> {
-        self.graph.get_output_types()
-    }
-
     ///
     pub fn save(&self, path: PathBuf) -> Result<(), GraphError> {
         let f = std::fs::File::create(&path).map_err(|e| {
@@ -590,11 +574,6 @@ 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(),
-            input_types: match self.get_input_types() {
-                Ok(x) => Some(x),
-                Err(_) => None,
-            },
-            output_types: Some(self.get_output_types()),
             num_dynamic_lookups: res.num_dynamic_lookups,
             total_dynamic_col_size: res.dynamic_lookup_col_coord,
             num_shuffles: res.num_shuffles,
@@ -725,11 +704,6 @@ impl Model {
             nodes,
             inputs: model.inputs.iter().map(|o| o.node).collect(),
             outputs: model.outputs.iter().map(|o| (o.node, o.slot)).collect(),
-            output_types: model
-                .outputs
-                .iter()
-                .map(|o| Ok::<InputType, GraphError>(model.outlet_fact(*o)?.datum_type.into()))
-                .collect::<Result<Vec<_>, GraphError>>()?,
         };
 
         let duration = start_time.elapsed();
@@ -888,15 +862,6 @@ impl Model {
                         nodes: subgraph_nodes,
                         inputs: model.inputs.iter().map(|o| o.node).collect(),
                         outputs: model.outputs.iter().map(|o| (o.node, o.slot)).collect(),
-                        output_types: model
-                            .outputs
-                            .iter()
-                            .map(|o| {
-                                Ok::<InputType, GraphError>(
-                                    model.outlet_fact(*o)?.datum_type.into(),
-                                )
-                            })
-                            .collect::<Result<Vec<_>, GraphError>>()?,
                     };
 
                     let om = Model {
@@ -1614,16 +1579,4 @@ impl Model {
         }
         Ok(instance_shapes)
     }
-
-    /// Input types of the computational graph's public inputs (if any)
-    pub fn instance_types(&self) -> Result<Vec<InputType>, GraphError> {
-        let mut instance_types = vec![];
-        if self.visibility.input.is_public() {
-            instance_types.extend(self.graph.get_input_types()?);
-        }
-        if self.visibility.output.is_public() {
-            instance_types.extend(self.graph.get_output_types());
-        }
-        Ok(instance_types)
-    }
 }

src/tensor/ops.rs

@@ -387,7 +387,7 @@ pub fn add<T: TensorType + Add<Output = T> + std::marker::Send + std::marker::Sy
 ) -> Result<Tensor<T>, TensorError> {
     if t.len() == 1 {
         return Ok(t[0].clone());
-    } else if t.is_empty() {
+    } else if t.len() == 0 {
         return Err(TensorError::DimMismatch("add".to_string()));
     }
 
@@ -441,7 +441,7 @@ pub fn sub<T: TensorType + Sub<Output = T> + std::marker::Send + std::marker::Sy
 ) -> Result<Tensor<T>, TensorError> {
     if t.len() == 1 {
         return Ok(t[0].clone());
-    } else if t.is_empty() {
+    } else if t.len() == 0 {
         return Err(TensorError::DimMismatch("sub".to_string()));
     }
     // calculate value of output
@@ -492,7 +492,7 @@ pub fn mult<T: TensorType + Mul<Output = T> + std::marker::Send + std::marker::S
 ) -> Result<Tensor<T>, TensorError> {
     if t.len() == 1 {
         return Ok(t[0].clone());
-    } else if t.is_empty() {
+    } else if t.len() == 0 {
         return Err(TensorError::DimMismatch("mult".to_string()));
     }
     // calculate value of output
@@ -1326,6 +1326,7 @@ pub fn pad<T: TensorType>(
 ///
 /// # Errors
 /// Returns a TensorError if the tensors in `inputs` have incompatible dimensions for concatenation along the specified `axis`.
+
 pub fn concat<T: TensorType + Send + Sync>(
     inputs: &[&Tensor<T>],
     axis: usize,
@@ -2101,6 +2102,7 @@ pub mod nonlinearities {
     /// let expected = Tensor::<IntegerRep>::new(Some(&[4, 25, 8, 1, 1, 0]), &[2, 3]).unwrap();
     /// assert_eq!(result, expected);
     /// ```
+
     pub fn tanh(a: &Tensor<IntegerRep>, scale_input: f64) -> Tensor<IntegerRep> {
         a.par_enum_map(|_, a_i| {
             let kix = (a_i as f64) / scale_input;

tests/py_integration_tests.rs

@@ -49,23 +49,6 @@ mod py_tests {
         std::env::set_var("VOICE_DATA_DIR", format!("{}", voice_data_dir));
     }
 
-    fn download_catdog_data() {
-        let cat_and_dog_data_dir = shellexpand::tilde("~/data/catdog_data");
-
-        DOWNLOAD_VOICE_DATA.call_once(|| {
-            let status = Command::new("bash")
-                .args([
-                    "examples/notebooks/cat_and_dog_data.sh",
-                    &cat_and_dog_data_dir,
-                ])
-                .status()
-                .expect("failed to execute process");
-            assert!(status.success());
-        });
-        // set VOICE_DATA_DIR environment variable
-        std::env::set_var("CATDOG_DATA_DIR", format!("{}", cat_and_dog_data_dir));
-    }
-
     fn setup_py_env() {
         ENV_SETUP.call_once(|| {
             // supposes that you have a virtualenv called .env and have run the following
@@ -242,20 +225,6 @@ mod py_tests {
                 anvil_child.kill().unwrap();
             }
 
-
-            #[test]
-            fn cat_and_dog_notebook_() {
-                crate::py_tests::init_binary();
-                let mut anvil_child = crate::py_tests::start_anvil(false);
-                crate::py_tests::download_catdog_data();
-                let test_dir: TempDir = TempDir::new("cat_and_dog").unwrap();
-                let path = test_dir.path().to_str().unwrap();
-                crate::py_tests::mv_test_(path, "cat_and_dog.ipynb");
-                run_notebook(path, "cat_and_dog.ipynb");
-                test_dir.close().unwrap();
-                anvil_child.kill().unwrap();
-            }
-
             #[test]
             fn reusable_verifier_notebook_() {
                 crate::py_tests::init_binary();