chore: bump py03

---------

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

.github/workflows/rust.yml

@@ -643,10 +643,10 @@ jobs:
       #     # now dump the contents of the file into a file called kaggle.json
       #     echo $KAGGLE_API_KEY > /home/ubuntu/.kaggle/kaggle.json
       #     chmod 600 /home/ubuntu/.kaggle/kaggle.json
-      - name: NBEATS tutorial
-        run: source .env/bin/activate; cargo nextest run py_tests::tests::nbeats_
       - name: Voice tutorial
         run: source .env/bin/activate; cargo nextest run py_tests::tests::voice_
+      - name: NBEATS tutorial
+        run: source .env/bin/activate; cargo nextest run py_tests::tests::nbeats_
       - name: All notebooks
         run: source .env/bin/activate; cargo nextest run py_tests::tests::run_notebook_ --test-threads 1
       - name: Tictactoe tutorials

Cargo.lock

@@ -1088,7 +1088,7 @@ dependencies = [
  "autocfg",
  "cfg-if",
  "crossbeam-utils",
- "memoffset 0.9.0",
+ "memoffset",
  "scopeguard",
 ]
 
@@ -2668,9 +2668,9 @@ dependencies = [
 
 [[package]]
 name = "indoc"
-version = "1.0.9"
+version = "2.0.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "bfa799dd5ed20a7e349f3b4639aa80d74549c81716d9ec4f994c9b5815598306"
+checksum = "1e186cfbae8084e513daff4240b4797e342f988cecda4fb6c939150f96315fd8"
 
 [[package]]
 name = "inout"
@@ -3001,15 +3001,6 @@ dependencies = [
  "libc",
 ]
 
-[[package]]
-name = "memoffset"
-version = "0.8.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d61c719bcfbcf5d62b3a09efa6088de8c54bc0bfcd3ea7ae39fcc186108b8de1"
-dependencies = [
- "autocfg",
-]
-
 [[package]]
 name = "memoffset"
 version = "0.9.0"
@@ -3840,14 +3831,14 @@ dependencies = [
 
 [[package]]
 name = "pyo3"
-version = "0.18.3"
+version = "0.20.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e3b1ac5b3731ba34fdaa9785f8d74d17448cd18f30cf19e0c7e7b1fdb5272109"
+checksum = "9a89dc7a5850d0e983be1ec2a463a171d20990487c3cfcd68b5363f1ee3d6fe0"
 dependencies = [
  "cfg-if",
  "indoc",
  "libc",
- "memoffset 0.8.0",
+ "memoffset",
  "parking_lot",
  "pyo3-build-config",
  "pyo3-ffi",
@@ -3857,9 +3848,9 @@ dependencies = [
 
 [[package]]
 name = "pyo3-asyncio"
-version = "0.18.0"
+version = "0.20.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d3564762e37035cfc486228e10b0528460fa026d681b5763873c693aa0d5c260"
+checksum = "6ea6b68e93db3622f3bb3bf363246cf948ed5375afe7abff98ccbdd50b184995"
 dependencies = [
  "futures",
  "once_cell",
@@ -3871,9 +3862,9 @@ dependencies = [
 
 [[package]]
 name = "pyo3-asyncio-macros"
-version = "0.18.0"
+version = "0.20.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "be72d4cd43a27530306bd0d20d3932182fbdd072c6b98d3638bc37efb9d559dd"
+checksum = "56c467178e1da6252c95c29ecf898b133f742e9181dca5def15dc24e19d45a39"
 dependencies = [
  "proc-macro2",
  "quote",
@@ -3882,9 +3873,9 @@ dependencies = [
 
 [[package]]
 name = "pyo3-build-config"
-version = "0.18.3"
+version = "0.20.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9cb946f5ac61bb61a5014924910d936ebd2b23b705f7a4a3c40b05c720b079a3"
+checksum = "07426f0d8fe5a601f26293f300afd1a7b1ed5e78b2a705870c5f30893c5163be"
 dependencies = [
  "once_cell",
  "target-lexicon",
@@ -3892,9 +3883,9 @@ dependencies = [
 
 [[package]]
 name = "pyo3-ffi"
-version = "0.18.3"
+version = "0.20.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fd4d7c5337821916ea2a1d21d1092e8443cf34879e53a0ac653fbb98f44ff65c"
+checksum = "dbb7dec17e17766b46bca4f1a4215a85006b4c2ecde122076c562dd058da6cf1"
 dependencies = [
  "libc",
  "pyo3-build-config",
@@ -3902,9 +3893,9 @@ dependencies = [
 
 [[package]]
 name = "pyo3-log"
-version = "0.8.2"
+version = "0.9.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c94ff6535a6bae58d7d0b85e60d4c53f7f84d0d0aa35d6a28c3f3e70bfe51444"
+checksum = "4c10808ee7250403bedb24bc30c32493e93875fef7ba3e4292226fe924f398bd"
 dependencies = [
  "arc-swap",
  "log",
@@ -3913,25 +3904,26 @@ dependencies = [
 
 [[package]]
 name = "pyo3-macros"
-version = "0.18.3"
+version = "0.20.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a9d39c55dab3fc5a4b25bbd1ac10a2da452c4aca13bb450f22818a002e29648d"
+checksum = "05f738b4e40d50b5711957f142878cfa0f28e054aa0ebdfc3fd137a843f74ed3"
 dependencies = [
  "proc-macro2",
  "pyo3-macros-backend",
  "quote",
- "syn 1.0.109",
+ "syn 2.0.22",
 ]
 
 [[package]]
 name = "pyo3-macros-backend"
-version = "0.18.3"
+version = "0.20.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "97daff08a4c48320587b5224cc98d609e3c27b6d437315bd40b605c98eeb5918"
+checksum = "0fc910d4851847827daf9d6cdd4a823fbdaab5b8818325c5e97a86da79e8881f"
 dependencies = [
+ "heck",
  "proc-macro2",
  "quote",
- "syn 1.0.109",
+ "syn 2.0.22",
 ]
 
 [[package]]
@@ -5552,9 +5544,9 @@ checksum = "f962df74c8c05a667b5ee8bcf162993134c104e96440b663c8daa176dc772d8c"
 
 [[package]]
 name = "unindent"
-version = "0.1.11"
+version = "0.2.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e1766d682d402817b5ac4490b3c3002d91dfa0d22812f341609f97b08757359c"
+checksum = "c7de7d73e1754487cb58364ee906a499937a0dfabd86bcb980fa99ec8c8fa2ce"
 
 [[package]]
 name = "unzip-n"

Cargo.toml

@@ -51,9 +51,9 @@ plotters = { version = "0.3.0", default_features = false, optional = true }
 regex = { version = "1", default_features = false }
 tokio = { version = "1.26.0",  default_features = false, features = ["macros", "rt"] }
 tokio-util = { version = "0.7.9", features = ["codec"] }
-pyo3 = { version = "0.18.3", features = ["extension-module", "abi3-py37", "macros"],  default_features = false, optional = true }
-pyo3-asyncio = { version = "0.18.0",  features = ["attributes", "tokio-runtime"],  default_features = false, optional = true }
-pyo3-log = { version = "0.8.1", default_features = false, optional = true }
+pyo3 = { version = "0.20.2", features = ["extension-module", "abi3-py37", "macros"],  default_features = false, optional = true }
+pyo3-asyncio = { version = "0.20.0",  features = ["attributes", "tokio-runtime"],  default_features = false, optional = true }
+pyo3-log = { version = "0.9.0", default_features = false, optional = true }
 tract-onnx = { git = "https://github.com/sonos/tract/", rev= "7b1aa33b2f7d1f19b80e270c83320f0f94daff69", default_features = false, optional = true }
 tabled = { version = "0.12.0", optional = true }
 

examples/notebooks/data_attest.ipynb

@@ -271,7 +271,7 @@
                 "The graph input for on chain data sources is formatted completely differently compared to file based data sources.\n",
                 "\n",
                 "- For file data sources, the raw floating point values that eventually get quantized, converted into field elements and stored in `witness.json` to be consumed by the circuit are stored. The output data contains the expected floating point values returned as outputs from running your vanilla pytorch model on the given inputs.\n",
-                "- For on chain data sources, the input_data field contains all the data necessary to read and format the on chain data into something digestable by EZKL (aka field elemenets :-D). \n",
+                "- For on chain data sources, the input_data field contains all the data necessary to read and format the on chain data into something digestable by EZKL (aka field elements :-D). \n",
                 "Here is what the schema for an on-chain data source graph input file should look like:\n",
                 "    \n",
                 "```json\n",

examples/notebooks/ezkl_demo.ipynb

@@ -441,7 +441,7 @@
         "# Serialize calibration data into file:\n",
         "json.dump(data, open(cal_data_path, 'w'))\n",
         "\n",
-        "# Optimize for resources, we cap logrows at 17 to reduce setup and proving time, at the expense of accuracy\n",
+        "# Optimize for resources, we cap logrows at 12 to reduce setup and proving time, at the expense of accuracy\n",
         "# You may want to increase the max logrows if accuracy is a concern\n",
         "res = ezkl.calibrate_settings(cal_data_path, model_path, settings_path, \"resources\", max_logrows = 12, scales = [2])"
       ]

examples/notebooks/kzg_vis.ipynb

@@ -7,7 +7,7 @@
             "source": [
                 "# kzg-ezkl\n",
                 "\n",
-                "Here's an example leveraging EZKL whereby the inputs to the model, and the model params themselves, are commited to using kzg-commitments inside a circuit.\n",
+                "Here's an example leveraging EZKL whereby the inputs to the model, and the model params themselves, are committed to using kzg-commitments inside a circuit.\n",
                 "\n",
                 "In this setup:\n",
                 "- the commitments are publicly known to the prover and verifier\n",
@@ -166,7 +166,7 @@
                 "Shoutouts: \n",
                 "\n",
                 "- [summa-solvency](https://github.com/summa-dev/summa-solvency) for their help with the poseidon hashing chip. \n",
-                "- [timeofey](https://github.com/timoftime) for providing inspiration in our developement of the el-gamal encryption circuit in Halo2. "
+                "- [timeofey](https://github.com/timoftime) for providing inspiration in our development of the el-gamal encryption circuit in Halo2. "
             ]
         },
         {

examples/notebooks/simple_demo_public_network_output.ipynb

@@ -8,7 +8,7 @@
             "source": [
                 "## EZKL Jupyter Notebook Demo \n",
                 "\n",
-                "Here we demonstrate how to use the EZKL package to run a publicly known / committted to network on some private data, producing a public output.\n"
+                "Here we demonstrate how to use the EZKL package to run a publicly known / committed to network on some private data, producing a public output.\n"
             ]
         },
         {

examples/notebooks/tictactoe_binary_classification.ipynb

@@ -154,7 +154,7 @@
             "source": [
                 "## Create a neural net to verify the execution of the tic tac toe model\n",
                 "\n",
-                "1. Given the data generated above classify whether the tic tac toe games are valid. This approach uses a binary classification as the tic tac toe state space is fairly small. For larger state spaces we will want to use anomaly detection based approachs"
+                "1. Given the data generated above classify whether the tic tac toe games are valid. This approach uses a binary classification as the tic tac toe state space is fairly small. For larger state spaces, we will want to use anomaly detection based approaches."
             ]
         },
         {

examples/notebooks/world_rotation.ipynb

@@ -49,7 +49,7 @@
     "import torch\n",
     "import math\n",
     "\n",
-    "# these are constatns for the rotation\n",
+    "# these are constants for the rotation\n",
     "phi = torch.tensor(5 * math.pi / 180)\n",
     "s = torch.sin(phi)\n",
     "c = torch.cos(phi)\n",

src/execute.rs

@@ -834,7 +834,6 @@ pub(crate) fn calibrate(
             Ok(r) => Some(r),
             Err(_) => None,
         };
-
         let key = (input_scale, param_scale, scale_rebase_multiplier);
         forward_pass_res.insert(key, vec![]);
 
@@ -847,7 +846,15 @@ pub(crate) fn calibrate(
 
         let mut circuit = match GraphCircuit::from_run_args(&local_run_args, &model_path) {
             Ok(c) => c,
-            Err(_) => return Err(format!("failed to create circuit from run args").into()),
+            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
@@ -874,16 +881,18 @@ pub(crate) fn calibrate(
             .collect::<Result<Vec<()>, String>>()?;
 
         let min_lookup_range = forward_pass_res
+            .get(&key)
+            .unwrap()
             .iter()
-            .map(|x| x.1.iter().map(|x| x.min_lookup_inputs))
-            .flatten()
+            .map(|x| x.min_lookup_inputs)
             .min()
             .unwrap_or(0);
 
         let max_lookup_range = forward_pass_res
+            .get(&key)
+            .unwrap()
             .iter()
-            .map(|x| x.1.iter().map(|x| x.max_lookup_inputs))
-            .flatten()
+            .map(|x| x.max_lookup_inputs)
             .max()
             .unwrap_or(0);
 
@@ -930,7 +939,7 @@ pub(crate) fn calibrate(
                 found_settings.as_json()?.to_colored_json_auto()?
             );
         } else {
-            debug!("calibration failed");
+            debug!("calibration failed {}", res.err().unwrap());
         }
 
         pb.inc(1);
@@ -1023,7 +1032,7 @@ pub(crate) fn calibrate(
 
     let tear_sheet_table = Table::new(vec![accuracy_res]);
 
-    println!(
+    warn!(
         "\n\n <------------- Numerical Fidelity Report (input_scale: {}, param_scale: {}, scale_input_multiplier: {}) ------------->\n\n{}\n\n",
         best_params.run_args.input_scale,
         best_params.run_args.param_scale,

src/python.rs

@@ -1022,7 +1022,6 @@ fn print_proof_hex(proof_path: PathBuf) -> Result<String, PyErr> {
 // Python Module
 #[pymodule]
 fn ezkl(_py: Python<'_>, m: &PyModule) -> PyResult<()> {
-    // NOTE: DeployVerifierEVM and SendProofEVM will be implemented in python in pyezkl
     pyo3_log::init();
     m.add_class::<PyRunArgs>()?;
     m.add_class::<PyG1Affine>()?;