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https://github.com/zkonduit/ezkl.git
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3 Commits
| Author | SHA1 | Date | |
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97d9832591 | ||
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e0771683a6 | ||
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319c222307 |
45
Cargo.lock
generated
45
Cargo.lock
generated
@@ -1867,7 +1867,7 @@ dependencies = [
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"halo2_gadgets",
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"halo2_proofs",
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"halo2_solidity_verifier",
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"halo2curves 0.6.0",
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"halo2curves 0.6.1",
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"hex",
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"indicatif",
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"instant",
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@@ -2262,7 +2262,7 @@ dependencies = [
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[[package]]
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name = "halo2_gadgets"
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version = "0.2.0"
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source = "git+https://github.com/zkonduit/halo2?branch=main#6a2b9ada9804807ddba03bbadaf6e63822cec275"
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source = "git+https://github.com/zkonduit/halo2?branch=main#ca603c14eb57030739b252e580a979023fa59040"
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dependencies = [
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"arrayvec 0.7.4",
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"bitvec 1.0.1",
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@@ -2279,13 +2279,13 @@ dependencies = [
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[[package]]
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name = "halo2_proofs"
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version = "0.3.0"
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source = "git+https://github.com/zkonduit/halo2?branch=main#6a2b9ada9804807ddba03bbadaf6e63822cec275"
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source = "git+https://github.com/zkonduit/halo2?branch=main#ca603c14eb57030739b252e580a979023fa59040"
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dependencies = [
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"blake2b_simd",
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"env_logger",
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"ff",
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"group",
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"halo2curves 0.6.0",
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"halo2curves 0.6.1",
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"icicle",
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"log",
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"maybe-rayon",
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@@ -2375,6 +2375,31 @@ dependencies = [
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"subtle",
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]
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[[package]]
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name = "halo2curves"
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version = "0.6.1"
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source = "git+https://github.com/privacy-scaling-explorations/halo2curves?rev=9fff22c#9fff22c5f72cc54fac1ef3a844e1072b08cfecdf"
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dependencies = [
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"blake2b_simd",
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"ff",
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"group",
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"hex",
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"lazy_static",
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"num-bigint",
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"num-traits",
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"pairing",
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"pasta_curves",
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"paste",
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"rand 0.8.5",
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"rand_core 0.6.4",
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"rayon",
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"serde",
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"serde_arrays",
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"static_assertions",
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"subtle",
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"unroll",
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]
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[[package]]
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name = "halo2wrong"
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version = "0.1.0"
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@@ -3461,8 +3486,10 @@ dependencies = [
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"blake2b_simd",
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"ff",
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"group",
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"hex",
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"lazy_static",
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"rand 0.8.5",
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"serde",
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"static_assertions",
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"subtle",
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]
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@@ -5686,6 +5713,16 @@ version = "0.2.3"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "c7de7d73e1754487cb58364ee906a499937a0dfabd86bcb980fa99ec8c8fa2ce"
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[[package]]
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name = "unroll"
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version = "0.1.5"
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source = "registry+https://github.com/rust-lang/crates.io-index"
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checksum = "5ad948c1cb799b1a70f836077721a92a35ac177d4daddf4c20a633786d4cf618"
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dependencies = [
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"quote",
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"syn 1.0.109",
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]
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[[package]]
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name = "untrusted"
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version = "0.7.1"
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@@ -17,7 +17,7 @@ crate-type = ["cdylib", "rlib"]
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[dependencies]
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halo2_gadgets = { git = "https://github.com/zkonduit/halo2", branch= "main" }
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halo2_proofs = { git = "https://github.com/zkonduit/halo2", branch= "main" }
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halo2curves = { version = "0.6.0", features = ["derive_serde"] }
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halo2curves = { git = "https://github.com/privacy-scaling-explorations/halo2curves", rev="9fff22c", features=["derive_serde"] }
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rand = { version = "0.8", default_features = false }
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itertools = { version = "0.10.3", default_features = false }
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clap = { version = "4.3.3", features = ["derive"]}
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@@ -128,13 +128,7 @@ pub fn recip<F: PrimeField + TensorType + PartialOrd>(
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let range_check_bracket = felt_to_i128(output_scale * input_scale) / 2;
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let mut scaled_unit =
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Tensor::from(vec![ValType::Constant(output_scale * input_scale)].into_iter());
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scaled_unit.set_visibility(&crate::graph::Visibility::Fixed);
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let scaled_unit = region.assign(&config.inputs[1], &scaled_unit.into())?;
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region.increment(scaled_unit.len());
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let is_assigned = !input.any_unknowns()? && !scaled_unit.any_unknowns()?;
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let is_assigned = !input.any_unknowns()?;
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let mut claimed_output: ValTensor<F> = if is_assigned {
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let input_evals = input.get_int_evals()?;
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@@ -166,27 +160,14 @@ pub fn recip<F: PrimeField + TensorType + PartialOrd>(
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log::debug!("product: {:?}", product.get_int_evals()?);
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// this is now of scale 2 * scale hence why we rescaled the unit scale
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let diff_with_input = pairwise(
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config,
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region,
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&[product.clone(), scaled_unit.clone()],
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BaseOp::Sub,
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)?;
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log::debug!("scaled_unit: {:?}", scaled_unit.get_int_evals()?);
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// debug print the diff
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log::debug!("diff_with_input: {:?}", diff_with_input.get_int_evals()?);
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log::debug!("range_check_bracket: {:?}", range_check_bracket);
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// at most the error should be in the original unit scale's range
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range_check(
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config,
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region,
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&[diff_with_input],
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&(-range_check_bracket, range_check_bracket),
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&[product],
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&(range_check_bracket, 3 * range_check_bracket),
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)?;
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Ok(claimed_output)
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@@ -826,10 +826,7 @@ pub(crate) fn calibrate(
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let range = if let Some(scales) = scales {
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scales
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} else {
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match target {
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CalibrationTarget::Resources { .. } => (8..10).collect::<Vec<crate::Scale>>(),
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CalibrationTarget::Accuracy => (10..14).collect::<Vec<crate::Scale>>(),
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}
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(10..14).collect::<Vec<crate::Scale>>()
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};
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let div_rebasing = if let Some(div_rebasing) = div_rebasing {
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@@ -1174,18 +1174,29 @@ impl Model {
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};
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debug!(
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"laying out {}: {}, row:{}, coord:{}, total_constants: {}",
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"laying out {}: {}, row:{}, coord:{}, total_constants: {}, max_lookup_inputs: {}, min_lookup_inputs: {}",
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idx,
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node.as_str(),
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region.row(),
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region.linear_coord(),
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region.total_constants()
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region.total_constants(),
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region.max_lookup_inputs(),
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region.min_lookup_inputs()
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);
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debug!("dims: {:?}", node.out_dims());
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debug!(
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"input_dims {:?}",
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values.iter().map(|v| v.dims()).collect_vec()
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);
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debug!("output scales: {:?}", node.out_scales());
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debug!("input indices: {:?}", node.inputs());
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debug!(
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"input scales: {:?}",
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node.inputs()
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.iter()
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.map(|(idx, outlet)| self.graph.nodes[idx].out_scales()[*outlet])
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.collect_vec()
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);
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match &node {
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NodeType::Node(n) => {
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@@ -560,7 +560,7 @@ mod native_tests {
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crate::native_tests::setup_py_env();
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let test_dir = TempDir::new(test).unwrap();
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let path = test_dir.path().to_str().unwrap(); crate::native_tests::mv_test_(path, test);
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accuracy_measurement(path, test.to_string(), "private", "private", "public", 1, "resources", 18.0, false);
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accuracy_measurement(path, test.to_string(), "private", "private", "public", 1, "resources", 3.1, false);
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test_dir.close().unwrap();
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}
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@@ -113,13 +113,13 @@ def test_calibrate_over_user_range():
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data_path = os.path.join(
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examples_path,
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'onnx',
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'1l_average',
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'1l_relu',
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'input.json'
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)
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model_path = os.path.join(
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examples_path,
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'onnx',
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'1l_average',
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'1l_relu',
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'network.onnx'
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)
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output_path = os.path.join(
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@@ -147,13 +147,13 @@ def test_calibrate():
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data_path = os.path.join(
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examples_path,
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'onnx',
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'1l_average',
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'1l_relu',
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'input.json'
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)
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model_path = os.path.join(
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examples_path,
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'onnx',
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'1l_average',
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'1l_relu',
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'network.onnx'
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)
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output_path = os.path.join(
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@@ -183,7 +183,7 @@ def test_model_compile():
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model_path = os.path.join(
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examples_path,
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'onnx',
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'1l_average',
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'1l_relu',
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'network.onnx'
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)
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compiled_model_path = os.path.join(
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@@ -205,7 +205,7 @@ def test_forward():
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data_path = os.path.join(
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examples_path,
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'onnx',
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'1l_average',
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'1l_relu',
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'input.json'
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)
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model_path = os.path.join(
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