mirror of
https://github.com/zkonduit/ezkl.git
synced 2026-01-13 00:08:12 -05:00
Compare commits
4 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
18c7e35514 | ||
|
|
8aaf518b5e | ||
|
|
1b7b43e073 | ||
|
|
f78618ec59 |
@@ -1,4 +1,4 @@
|
||||
name: Build and Publish EZKL npm packages (wasm bindings and in-browser evm verifier)
|
||||
name: Build and Publish EZKL Engine npm package
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
@@ -62,7 +62,7 @@ jobs:
|
||||
"web/ezkl_bg.wasm",
|
||||
"web/ezkl.js",
|
||||
"web/ezkl.d.ts",
|
||||
"web/snippets/wasm-bindgen-rayon-7afa899f36665473/src/workerHelpers.js",
|
||||
"web/snippets/**/*",
|
||||
"web/package.json",
|
||||
"web/utils.js",
|
||||
"ezkl.d.ts"
|
||||
@@ -79,6 +79,10 @@ jobs:
|
||||
run: |
|
||||
sed -i "3s|.*|imports['env'] = {memory: new WebAssembly.Memory({initial:20,maximum:65536,shared:true})}|" pkg/nodejs/ezkl.js
|
||||
|
||||
- name: Replace `import.meta.url` with `import.meta.resolve` definition in workerHelpers.js
|
||||
run: |
|
||||
find ./pkg/web/snippets -type f -name "*.js" -exec sed -i "s|import.meta.url|import.meta.resolve|" {} +
|
||||
|
||||
- name: Add serialize and deserialize methods to nodejs bundle
|
||||
run: |
|
||||
echo '
|
||||
@@ -174,40 +178,3 @@ jobs:
|
||||
npm publish
|
||||
env:
|
||||
NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
|
||||
|
||||
in-browser-evm-ver-publish:
|
||||
name: publish-in-browser-evm-verifier-package
|
||||
needs: ["publish-wasm-bindings"]
|
||||
runs-on: ubuntu-latest
|
||||
if: startsWith(github.ref, 'refs/tags/')
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- name: Update version in package.json
|
||||
shell: bash
|
||||
env:
|
||||
RELEASE_TAG: ${{ github.ref_name }}
|
||||
run: |
|
||||
sed -i "s|\"version\": \".*\"|\"version\": \"${{ github.ref_name }}\"|" in-browser-evm-verifier/package.json
|
||||
- name: Update @ezkljs/engine version in package.json
|
||||
shell: bash
|
||||
env:
|
||||
RELEASE_TAG: ${{ github.ref_name }}
|
||||
run: |
|
||||
sed -i "s|\"@ezkljs/engine\": \".*\"|\"@ezkljs/engine\": \"${{ github.ref_name }}\"|" in-browser-evm-verifier/package.json
|
||||
- name: Update the engine import in in-browser-evm-verifier to use @ezkljs/engine package instead of the local one;
|
||||
run: |
|
||||
sed -i "s|import { encodeVerifierCalldata } from '../nodejs/ezkl';|import { encodeVerifierCalldata } from '@ezkljs/engine';|" in-browser-evm-verifier/src/index.ts
|
||||
- name: Set up Node.js
|
||||
uses: actions/setup-node@v3
|
||||
with:
|
||||
node-version: "18.12.1"
|
||||
registry-url: "https://registry.npmjs.org"
|
||||
- name: Publish to npm
|
||||
run: |
|
||||
cd in-browser-evm-verifier
|
||||
npm install
|
||||
npm run build
|
||||
npm ci
|
||||
npm publish
|
||||
env:
|
||||
NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
|
||||
6
.github/workflows/rust.yml
vendored
6
.github/workflows/rust.yml
vendored
@@ -307,8 +307,8 @@ jobs:
|
||||
run: rustup component add rust-src --toolchain nightly-2024-02-06-x86_64-unknown-linux-gnu
|
||||
- name: Install dependencies for js tests and in-browser-evm-verifier package
|
||||
run: |
|
||||
pnpm install --no-frozen-lockfile
|
||||
pnpm install --dir ./in-browser-evm-verifier --no-frozen-lockfile
|
||||
pnpm install --frozen-lockfile
|
||||
pnpm install --dir ./in-browser-evm-verifier --frozen-lockfile
|
||||
env:
|
||||
CI: false
|
||||
NODE_ENV: development
|
||||
@@ -380,7 +380,7 @@ jobs:
|
||||
cache: "pnpm"
|
||||
- name: Install dependencies for js tests
|
||||
run: |
|
||||
pnpm install --no-frozen-lockfile
|
||||
pnpm install --frozen-lockfile
|
||||
env:
|
||||
CI: false
|
||||
NODE_ENV: development
|
||||
|
||||
54
.github/workflows/verify.yml
vendored
Normal file
54
.github/workflows/verify.yml
vendored
Normal file
@@ -0,0 +1,54 @@
|
||||
name: Build and Publish EZKL npm packages (wasm bindings and in-browser evm verifier)
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
inputs:
|
||||
tag:
|
||||
description: "The tag to release"
|
||||
required: true
|
||||
push:
|
||||
tags:
|
||||
- "*"
|
||||
|
||||
defaults:
|
||||
run:
|
||||
working-directory: .
|
||||
jobs:
|
||||
in-browser-evm-ver-publish:
|
||||
name: publish-in-browser-evm-verifier-package
|
||||
runs-on: ubuntu-latest
|
||||
if: startsWith(github.ref, 'refs/tags/')
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- name: Update version in package.json
|
||||
shell: bash
|
||||
env:
|
||||
RELEASE_TAG: ${{ github.ref_name }}
|
||||
run: |
|
||||
sed -i "s|\"version\": \".*\"|\"version\": \"${{ github.ref_name }}\"|" in-browser-evm-verifier/package.json
|
||||
- name: Update @ezkljs/engine version in package.json
|
||||
shell: bash
|
||||
env:
|
||||
RELEASE_TAG: ${{ github.ref_name }}
|
||||
run: |
|
||||
sed -i "s|\"@ezkljs/engine\": \".*\"|\"@ezkljs/engine\": \"${{ github.ref_name }}\"|" in-browser-evm-verifier/package.json
|
||||
- name: Update the engine import in in-browser-evm-verifier to use @ezkljs/engine package instead of the local one;
|
||||
run: |
|
||||
sed -i "s|import { encodeVerifierCalldata } from '../nodejs/ezkl';|import { encodeVerifierCalldata } from '@ezkljs/engine';|" in-browser-evm-verifier/src/index.ts
|
||||
- name: Use pnpm 8
|
||||
uses: pnpm/action-setup@v2
|
||||
with:
|
||||
version: 8
|
||||
- name: Set up Node.js
|
||||
uses: actions/setup-node@v3
|
||||
with:
|
||||
node-version: "18.12.1"
|
||||
registry-url: "https://registry.npmjs.org"
|
||||
- name: Publish to npm
|
||||
run: |
|
||||
cd in-browser-evm-verifier
|
||||
pnpm install --frozen-lockfile
|
||||
pnpm run build
|
||||
pnpm publish
|
||||
env:
|
||||
NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
|
||||
2
.gitignore
vendored
2
.gitignore
vendored
@@ -50,4 +50,4 @@ timingData.json
|
||||
!tests/wasm/pk.key
|
||||
!tests/wasm/vk.key
|
||||
docs/python/build
|
||||
!tests/wasm/vk_aggr.key
|
||||
!tests/wasm/vk_aggr.key
|
||||
209
Cargo.lock
generated
209
Cargo.lock
generated
@@ -112,7 +112,7 @@ checksum = "1a047897373be4bbb0224c1afdabca92648dc57a9c9ef6e7b0be3aff7a859c83"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -211,9 +211,9 @@ checksum = "d301b3b94cb4b2f23d7917810addbbaff90738e0ca2be692bd027e70d7e0330c"
|
||||
|
||||
[[package]]
|
||||
name = "arc-swap"
|
||||
version = "1.7.1"
|
||||
version = "1.7.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "69f7f8c3906b62b754cd5326047894316021dcfe5a194c8ea52bdd94934a3457"
|
||||
checksum = "7b3d0060af21e8d11a926981cc00c6c1541aa91dd64b9f881985c3da1094425f"
|
||||
|
||||
[[package]]
|
||||
name = "ark-bls12-377"
|
||||
@@ -463,7 +463,7 @@ dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"serde",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -483,13 +483,13 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "async-trait"
|
||||
version = "0.1.79"
|
||||
version = "0.1.78"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "a507401cad91ec6a857ed5513a2073c82a9b9048762b885bb98655b306964681"
|
||||
checksum = "461abc97219de0eaaf81fe3ef974a540158f3d079c2ab200f891f1a2ef201e85"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -522,20 +522,20 @@ checksum = "3c87f3f15e7794432337fc718554eaa4dc8f04c9677a950ffe366f20a162ae42"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "autocfg"
|
||||
version = "1.2.0"
|
||||
version = "1.1.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "f1fdabc7756949593fe60f30ec81974b613357de856987752631dea1e3394c80"
|
||||
checksum = "d468802bab17cbc0cc575e9b053f41e72aa36bfa6b7f55e3529ffa43161b97fa"
|
||||
|
||||
[[package]]
|
||||
name = "backtrace"
|
||||
version = "0.3.71"
|
||||
version = "0.3.70"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "26b05800d2e817c8b3b4b54abd461726265fa9789ae34330622f2db9ee696f9d"
|
||||
checksum = "95d8e92cac0961e91dbd517496b00f7e9b92363dbe6d42c3198268323798860c"
|
||||
dependencies = [
|
||||
"addr2line",
|
||||
"cc",
|
||||
@@ -716,9 +716,9 @@ checksum = "1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b"
|
||||
|
||||
[[package]]
|
||||
name = "bytes"
|
||||
version = "1.6.0"
|
||||
version = "1.5.0"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "514de17de45fdb8dc022b1a7975556c53c86f9f0aa5f534b98977b171857c2c9"
|
||||
checksum = "a2bd12c1caf447e69cd4528f47f94d203fd2582878ecb9e9465484c4148a8223"
|
||||
dependencies = [
|
||||
"serde",
|
||||
]
|
||||
@@ -734,9 +734,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "cargo-platform"
|
||||
version = "0.1.8"
|
||||
version = "0.1.7"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "24b1f0365a6c6bb4020cd05806fd0d33c44d38046b8bd7f0e40814b9763cabfc"
|
||||
checksum = "694c8807f2ae16faecc43dc17d74b3eb042482789fd0eb64b39a2e04e087053f"
|
||||
dependencies = [
|
||||
"serde",
|
||||
]
|
||||
@@ -779,9 +779,9 @@ checksum = "baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd"
|
||||
|
||||
[[package]]
|
||||
name = "chrono"
|
||||
version = "0.4.37"
|
||||
version = "0.4.35"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "8a0d04d43504c61aa6c7531f1871dd0d418d91130162063b789da00fd7057a5e"
|
||||
checksum = "8eaf5903dcbc0a39312feb77df2ff4c76387d591b9fc7b04a238dcf8bb62639a"
|
||||
dependencies = [
|
||||
"android-tzdata",
|
||||
"iana-time-zone",
|
||||
@@ -814,9 +814,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "clap"
|
||||
version = "4.5.4"
|
||||
version = "4.5.3"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "90bc066a67923782aa8515dbaea16946c5bcc5addbd668bb80af688e53e548a0"
|
||||
checksum = "949626d00e063efc93b6dca932419ceb5432f99769911c0b995f7e884c778813"
|
||||
dependencies = [
|
||||
"clap_builder",
|
||||
"clap_derive",
|
||||
@@ -836,14 +836,14 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "clap_derive"
|
||||
version = "4.5.4"
|
||||
version = "4.5.3"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "528131438037fd55894f62d6e9f068b8f45ac57ffa77517819645d10aed04f64"
|
||||
checksum = "90239a040c80f5e14809ca132ddc4176ab33d5e17e49691793296e3fcb34d72f"
|
||||
dependencies = [
|
||||
"heck 0.5.0",
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1177,9 +1177,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "der"
|
||||
version = "0.7.9"
|
||||
version = "0.7.8"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "f55bf8e7b65898637379c1b74eb1551107c8294ed26d855ceb9fd1a09cfc9bc0"
|
||||
checksum = "fffa369a668c8af7dbf8b5e56c9f744fbd399949ed171606040001947de40b1c"
|
||||
dependencies = [
|
||||
"const-oid",
|
||||
"zeroize",
|
||||
@@ -1409,7 +1409,7 @@ checksum = "6fd000fd6988e73bbe993ea3db9b1aa64906ab88766d654973924340c8cddb42"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1575,7 +1575,7 @@ dependencies = [
|
||||
"regex",
|
||||
"serde",
|
||||
"serde_json",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
"toml",
|
||||
"walkdir",
|
||||
]
|
||||
@@ -1593,7 +1593,7 @@ dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"serde_json",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1619,7 +1619,7 @@ dependencies = [
|
||||
"serde",
|
||||
"serde_json",
|
||||
"strum",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
"tempfile",
|
||||
"thiserror",
|
||||
"tiny-keccak",
|
||||
@@ -1772,7 +1772,7 @@ dependencies = [
|
||||
"ark-std 0.3.0",
|
||||
"bincode",
|
||||
"chrono",
|
||||
"clap 4.5.4",
|
||||
"clap 4.5.3",
|
||||
"colored",
|
||||
"colored_json",
|
||||
"console_error_panic_hook",
|
||||
@@ -1837,9 +1837,9 @@ checksum = "4443176a9f2c162692bd3d352d745ef9413eec5782a80d8fd6f8a1ac692a07f7"
|
||||
|
||||
[[package]]
|
||||
name = "fastrand"
|
||||
version = "2.0.2"
|
||||
version = "2.0.1"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "658bd65b1cf4c852a3cc96f18a8ce7b5640f6b703f905c7d74532294c2a63984"
|
||||
checksum = "25cbce373ec4653f1a01a31e8a5e5ec0c622dc27ff9c4e6606eefef5cbbed4a5"
|
||||
|
||||
[[package]]
|
||||
name = "fastrlp"
|
||||
@@ -2028,7 +2028,7 @@ checksum = "87750cf4b7a4c0625b1529e4c543c2182106e4dedc60a2a6455e00d212c489ac"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -2258,7 +2258,7 @@ dependencies = [
|
||||
[[package]]
|
||||
name = "halo2curves"
|
||||
version = "0.3.2"
|
||||
source = "git+https://github.com/privacy-scaling-explorations/halo2curves.git?tag=0.3.2#9f5c50810bbefe779ee5cf1d852b2fe85dc35d5e"
|
||||
source = "git+https://github.com/privacy-scaling-explorations/halo2curves?tag=0.3.2#9f5c50810bbefe779ee5cf1d852b2fe85dc35d5e"
|
||||
dependencies = [
|
||||
"ff",
|
||||
"group",
|
||||
@@ -2602,9 +2602,9 @@ checksum = "ce23b50ad8242c51a442f3ff322d56b02f08852c77e4c0b4d3fd684abc89c683"
|
||||
|
||||
[[package]]
|
||||
name = "indexmap"
|
||||
version = "2.2.6"
|
||||
version = "2.2.5"
|
||||
source = "registry+https://github.com/rust-lang/crates.io-index"
|
||||
checksum = "168fb715dda47215e360912c096649d23d58bf392ac62f73919e831745e40f26"
|
||||
checksum = "7b0b929d511467233429c45a44ac1dcaa21ba0f5ba11e4879e6ed28ddb4f9df4"
|
||||
dependencies = [
|
||||
"equivalent",
|
||||
"hashbrown 0.14.3",
|
||||
@@ -2626,9 +2626,9 @@ dependencies = [
|
||||
|
||||
[[package]]
|
||||
name = "indoc"
|
||||
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|
||||
@@ -5210,7 +5211,7 @@ checksum = "5b8a1e28f2deaa14e508979454cb3a223b10b938b45af148bc0986de36f1923b"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -5345,7 +5346,7 @@ source = "git+https://github.com/zkonduit/enum_to_subcommand#42e9870f1f757932bab
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -5373,7 +5374,7 @@ checksum = "34704c8d6ebcbc939824180af020566b01a7c01f80641264eba0999f6c2b6be7"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -5763,7 +5764,7 @@ dependencies = [
|
||||
"once_cell",
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
"wasm-bindgen-shared",
|
||||
]
|
||||
|
||||
@@ -5807,7 +5808,7 @@ checksum = "e94f17b526d0a461a191c78ea52bbce64071ed5c04c9ffe424dcb38f74171bb7"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
"wasm-bindgen-backend",
|
||||
"wasm-bindgen-shared",
|
||||
]
|
||||
@@ -5852,7 +5853,7 @@ checksum = "b7f89739351a2e03cb94beb799d47fb2cac01759b40ec441f7de39b00cbf7ef0"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -6162,7 +6163,7 @@ checksum = "9ce1b18ccd8e73a9321186f97e46f9f04b778851177567b1975109d26a08d2a6"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -6182,5 +6183,5 @@ checksum = "ce36e65b0d2999d2aafac989fb249189a141aee1f53c612c1f37d72631959f69"
|
||||
dependencies = [
|
||||
"proc-macro2",
|
||||
"quote",
|
||||
"syn 2.0.58",
|
||||
"syn 2.0.53",
|
||||
]
|
||||
|
||||
@@ -70,8 +70,8 @@ impl Circuit<Fr> for MyCircuit {
|
||||
&mut region,
|
||||
&[self.image.clone(), self.kernel.clone(), self.bias.clone()],
|
||||
Box::new(PolyOp::Conv {
|
||||
padding: [(0, 0); 2],
|
||||
stride: (1, 1),
|
||||
padding: vec![(0, 0)],
|
||||
stride: vec![1; 2],
|
||||
}),
|
||||
)
|
||||
.unwrap();
|
||||
|
||||
@@ -65,9 +65,9 @@ impl Circuit<Fr> for MyCircuit {
|
||||
&mut region,
|
||||
&[self.image.clone()],
|
||||
Box::new(HybridOp::SumPool {
|
||||
padding: [(0, 0); 2],
|
||||
stride: (1, 1),
|
||||
kernel_shape: (2, 2),
|
||||
padding: vec![(0, 0); 2],
|
||||
stride: vec![1, 1],
|
||||
kernel_shape: vec![2, 2],
|
||||
normalized: false,
|
||||
}),
|
||||
)
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
ezkl==0.0.0
|
||||
ezkl==10.3.2
|
||||
sphinx
|
||||
sphinx-rtd-theme
|
||||
sphinxcontrib-napoleon
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import ezkl
|
||||
|
||||
project = 'ezkl'
|
||||
release = '0.0.0'
|
||||
release = '10.3.2'
|
||||
version = release
|
||||
|
||||
|
||||
|
||||
@@ -203,8 +203,8 @@ where
|
||||
let mut region = RegionCtx::new(region, 0, NUM_INNER_COLS);
|
||||
|
||||
let op = PolyOp::Conv {
|
||||
padding: [(PADDING, PADDING); 2],
|
||||
stride: (STRIDE, STRIDE),
|
||||
padding: vec![(PADDING, PADDING); 2],
|
||||
stride: vec![STRIDE; 2],
|
||||
};
|
||||
let x = config
|
||||
.layer_config
|
||||
|
||||
@@ -20,16 +20,16 @@
|
||||
"build": "npm run clean && npm run build:commonjs && npm run build:esm"
|
||||
},
|
||||
"dependencies": {
|
||||
"@ethereumjs/common": "^4.0.0",
|
||||
"@ethereumjs/evm": "^2.0.0",
|
||||
"@ethereumjs/statemanager": "^2.0.0",
|
||||
"@ethereumjs/tx": "^5.0.0",
|
||||
"@ethereumjs/util": "^9.0.0",
|
||||
"@ethereumjs/vm": "^7.0.0",
|
||||
"@ethersproject/abi": "^5.7.0",
|
||||
"@ethereumjs/common": "4.0.0",
|
||||
"@ethereumjs/evm": "2.0.0",
|
||||
"@ethereumjs/statemanager": "2.0.0",
|
||||
"@ethereumjs/tx": "5.0.0",
|
||||
"@ethereumjs/util": "9.0.0",
|
||||
"@ethereumjs/vm": "7.0.0",
|
||||
"@ethersproject/abi": "5.7.0",
|
||||
"@ezkljs/engine": "^9.4.4",
|
||||
"ethers": "^6.7.1",
|
||||
"json-bigint": "^1.0.0"
|
||||
"ethers": "6.7.1",
|
||||
"json-bigint": "1.0.0"
|
||||
},
|
||||
"devDependencies": {
|
||||
"@types/node": "^20.8.3",
|
||||
|
||||
18
in-browser-evm-verifier/pnpm-lock.yaml
generated
18
in-browser-evm-verifier/pnpm-lock.yaml
generated
@@ -6,34 +6,34 @@ settings:
|
||||
|
||||
dependencies:
|
||||
'@ethereumjs/common':
|
||||
specifier: ^4.0.0
|
||||
specifier: 4.0.0
|
||||
version: 4.0.0
|
||||
'@ethereumjs/evm':
|
||||
specifier: ^2.0.0
|
||||
specifier: 2.0.0
|
||||
version: 2.0.0
|
||||
'@ethereumjs/statemanager':
|
||||
specifier: ^2.0.0
|
||||
specifier: 2.0.0
|
||||
version: 2.0.0
|
||||
'@ethereumjs/tx':
|
||||
specifier: ^5.0.0
|
||||
specifier: 5.0.0
|
||||
version: 5.0.0
|
||||
'@ethereumjs/util':
|
||||
specifier: ^9.0.0
|
||||
specifier: 9.0.0
|
||||
version: 9.0.0
|
||||
'@ethereumjs/vm':
|
||||
specifier: ^7.0.0
|
||||
specifier: 7.0.0
|
||||
version: 7.0.0
|
||||
'@ethersproject/abi':
|
||||
specifier: ^5.7.0
|
||||
specifier: 5.7.0
|
||||
version: 5.7.0
|
||||
'@ezkljs/engine':
|
||||
specifier: ^9.4.4
|
||||
version: 9.4.4
|
||||
ethers:
|
||||
specifier: ^6.7.1
|
||||
specifier: 6.7.1
|
||||
version: 6.7.1
|
||||
json-bigint:
|
||||
specifier: ^1.0.0
|
||||
specifier: 1.0.0
|
||||
version: 1.0.0
|
||||
|
||||
devDependencies:
|
||||
|
||||
@@ -36,7 +36,7 @@ if [ "$(which ezkl)s" != "s" ] && [ "$(which ezkl)" != "$EZKL_DIR/ezkl" ] ; the
|
||||
exit 1
|
||||
fi
|
||||
|
||||
if [[ ":$PATH:" != *":${EZKl_DIR}:"* ]]; then
|
||||
if [[ ":$PATH:" != *":${EZKL_DIR}:"* ]]; then
|
||||
# Add the ezkl directory to the path and ensure the old PATH variables remain.
|
||||
echo >> $PROFILE && echo "export PATH=\"\$PATH:$EZKL_DIR\"" >> $PROFILE
|
||||
fi
|
||||
|
||||
@@ -956,20 +956,6 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> BaseConfig<F> {
|
||||
values: &[ValTensor<F>],
|
||||
op: Box<dyn Op<F>>,
|
||||
) -> Result<Option<ValTensor<F>>, Box<dyn Error>> {
|
||||
let res = op.layout(self, region, values)?;
|
||||
|
||||
if matches!(&self.check_mode, CheckMode::SAFE) && !region.is_dummy() {
|
||||
if let Some(claimed_output) = &res {
|
||||
// during key generation this will be unknown vals so we use this as a flag to check
|
||||
let mut is_assigned = !claimed_output.any_unknowns()?;
|
||||
for val in values.iter() {
|
||||
is_assigned = is_assigned && !val.any_unknowns()?;
|
||||
}
|
||||
if is_assigned {
|
||||
op.safe_mode_check(claimed_output, values)?;
|
||||
}
|
||||
}
|
||||
};
|
||||
Ok(res)
|
||||
op.layout(self, region, values)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,9 +1,9 @@
|
||||
use super::*;
|
||||
use crate::{
|
||||
circuit::{layouts, utils, Tolerance},
|
||||
fieldutils::{felt_to_i128, i128_to_felt},
|
||||
fieldutils::i128_to_felt,
|
||||
graph::multiplier_to_scale,
|
||||
tensor::{self, Tensor, TensorError, TensorType, ValTensor},
|
||||
tensor::{self, Tensor, TensorType, ValTensor},
|
||||
};
|
||||
use halo2curves::ff::PrimeField;
|
||||
use serde::{Deserialize, Serialize};
|
||||
@@ -29,15 +29,15 @@ pub enum HybridOp {
|
||||
dim: usize,
|
||||
},
|
||||
SumPool {
|
||||
padding: [(usize, usize); 2],
|
||||
stride: (usize, usize),
|
||||
kernel_shape: (usize, usize),
|
||||
padding: Vec<(usize, usize)>,
|
||||
stride: Vec<usize>,
|
||||
kernel_shape: Vec<usize>,
|
||||
normalized: bool,
|
||||
},
|
||||
MaxPool2d {
|
||||
padding: [(usize, usize); 2],
|
||||
stride: (usize, usize),
|
||||
pool_dims: (usize, usize),
|
||||
MaxPool {
|
||||
padding: Vec<(usize, usize)>,
|
||||
stride: Vec<usize>,
|
||||
pool_dims: Vec<usize>,
|
||||
},
|
||||
ReduceMin {
|
||||
axes: Vec<usize>,
|
||||
@@ -85,93 +85,6 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Op<F> for Hybrid
|
||||
fn as_any(&self) -> &dyn Any {
|
||||
self
|
||||
}
|
||||
/// Matches a [Op] to an operation in the `tensor::ops` module.
|
||||
fn f(&self, inputs: &[Tensor<F>]) -> Result<ForwardResult<F>, TensorError> {
|
||||
let x = inputs[0].clone().map(|x| felt_to_i128(x));
|
||||
|
||||
let res = match &self {
|
||||
HybridOp::ReduceMax { axes, .. } => tensor::ops::max_axes(&x, axes)?,
|
||||
HybridOp::ReduceMin { axes, .. } => tensor::ops::min_axes(&x, axes)?,
|
||||
HybridOp::Div { denom, .. } => {
|
||||
crate::tensor::ops::nonlinearities::const_div(&x, denom.0 as f64)
|
||||
}
|
||||
HybridOp::Recip {
|
||||
input_scale,
|
||||
output_scale,
|
||||
..
|
||||
} => crate::tensor::ops::nonlinearities::recip(
|
||||
&x,
|
||||
input_scale.0 as f64,
|
||||
output_scale.0 as f64,
|
||||
),
|
||||
HybridOp::ReduceArgMax { dim } => tensor::ops::argmax_axes(&x, *dim)?,
|
||||
HybridOp::ReduceArgMin { dim } => tensor::ops::argmin_axes(&x, *dim)?,
|
||||
HybridOp::Gather { dim, constant_idx } => {
|
||||
if let Some(idx) = constant_idx {
|
||||
tensor::ops::gather(&x, idx, *dim)?
|
||||
} else {
|
||||
let y = inputs[1].clone().map(|x| felt_to_i128(x));
|
||||
tensor::ops::gather(&x, &y.map(|x| x as usize), *dim)?
|
||||
}
|
||||
}
|
||||
HybridOp::OneHot { dim, num_classes } => {
|
||||
tensor::ops::one_hot(&x, *num_classes, *dim)?.clone()
|
||||
}
|
||||
|
||||
HybridOp::TopK { dim, k, largest } => tensor::ops::topk_axes(&x, *k, *dim, *largest)?,
|
||||
HybridOp::MaxPool2d {
|
||||
padding,
|
||||
stride,
|
||||
pool_dims,
|
||||
..
|
||||
} => tensor::ops::max_pool2d(&x, padding, stride, pool_dims)?,
|
||||
HybridOp::SumPool {
|
||||
padding,
|
||||
stride,
|
||||
kernel_shape,
|
||||
normalized,
|
||||
} => tensor::ops::sumpool(&x, *padding, *stride, *kernel_shape, *normalized)?,
|
||||
HybridOp::Softmax {
|
||||
input_scale,
|
||||
output_scale,
|
||||
axes,
|
||||
} => tensor::ops::nonlinearities::softmax_axes(
|
||||
&x,
|
||||
input_scale.into(),
|
||||
output_scale.into(),
|
||||
axes,
|
||||
),
|
||||
HybridOp::RangeCheck(tol) => {
|
||||
let y = inputs[1].clone().map(|x| felt_to_i128(x));
|
||||
tensor::ops::nonlinearities::range_check_percent(&[x, y], 128, 128, tol.val)
|
||||
}
|
||||
HybridOp::Greater => {
|
||||
let y = inputs[1].clone().map(|x| felt_to_i128(x));
|
||||
tensor::ops::greater(&x, &y)?
|
||||
}
|
||||
HybridOp::GreaterEqual => {
|
||||
let y = inputs[1].clone().map(|x| felt_to_i128(x));
|
||||
tensor::ops::greater_equal(&x, &y)?
|
||||
}
|
||||
HybridOp::Less => {
|
||||
let y = inputs[1].clone().map(|x| felt_to_i128(x));
|
||||
tensor::ops::less(&x, &y)?
|
||||
}
|
||||
HybridOp::LessEqual => {
|
||||
let y = inputs[1].clone().map(|x| felt_to_i128(x));
|
||||
tensor::ops::less_equal(&x, &y)?
|
||||
}
|
||||
HybridOp::Equals => {
|
||||
let y = inputs[1].clone().map(|x| felt_to_i128(x));
|
||||
tensor::ops::equals(&x, &y)?
|
||||
}
|
||||
};
|
||||
|
||||
// convert back to felt
|
||||
let output = res.map(|x| i128_to_felt(x));
|
||||
|
||||
Ok(ForwardResult { output })
|
||||
}
|
||||
|
||||
fn as_string(&self) -> String {
|
||||
match self {
|
||||
@@ -201,12 +114,12 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Op<F> for Hybrid
|
||||
),
|
||||
HybridOp::ReduceMax { axes } => format!("REDUCEMAX (axes={:?})", axes),
|
||||
HybridOp::ReduceArgMax { dim } => format!("REDUCEARGMAX (dim={})", dim),
|
||||
HybridOp::MaxPool2d {
|
||||
HybridOp::MaxPool {
|
||||
padding,
|
||||
stride,
|
||||
pool_dims,
|
||||
} => format!(
|
||||
"MAXPOOL2D (padding={:?}, stride={:?}, pool_dims={:?})",
|
||||
"MaxPool (padding={:?}, stride={:?}, pool_dims={:?})",
|
||||
padding, stride, pool_dims
|
||||
),
|
||||
HybridOp::ReduceMin { axes } => format!("REDUCEMIN (axes={:?})", axes),
|
||||
@@ -253,9 +166,9 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Op<F> for Hybrid
|
||||
config,
|
||||
region,
|
||||
values[..].try_into()?,
|
||||
*padding,
|
||||
*stride,
|
||||
*kernel_shape,
|
||||
padding,
|
||||
stride,
|
||||
kernel_shape,
|
||||
*normalized,
|
||||
)?,
|
||||
HybridOp::Recip {
|
||||
@@ -315,17 +228,17 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Op<F> for Hybrid
|
||||
}
|
||||
}
|
||||
|
||||
HybridOp::MaxPool2d {
|
||||
HybridOp::MaxPool {
|
||||
padding,
|
||||
stride,
|
||||
pool_dims,
|
||||
} => layouts::max_pool2d(
|
||||
} => layouts::max_pool(
|
||||
config,
|
||||
region,
|
||||
values[..].try_into()?,
|
||||
*padding,
|
||||
*stride,
|
||||
*pool_dims,
|
||||
padding,
|
||||
stride,
|
||||
pool_dims,
|
||||
)?,
|
||||
HybridOp::ReduceMax { axes } => {
|
||||
layouts::max_axes(config, region, values[..].try_into()?, axes)?
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -135,15 +135,12 @@ impl LookupOp {
|
||||
let range = range as i128;
|
||||
(-range, range)
|
||||
}
|
||||
}
|
||||
|
||||
impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Op<F> for LookupOp {
|
||||
/// Returns a reference to the Any trait.
|
||||
fn as_any(&self) -> &dyn Any {
|
||||
self
|
||||
}
|
||||
/// Matches a [Op] to an operation in the `tensor::ops` module.
|
||||
fn f(&self, x: &[Tensor<F>]) -> Result<ForwardResult<F>, TensorError> {
|
||||
pub(crate) fn f<F: PrimeField + TensorType + PartialOrd + std::hash::Hash>(
|
||||
&self,
|
||||
x: &[Tensor<F>],
|
||||
) -> Result<ForwardResult<F>, TensorError> {
|
||||
let x = x[0].clone().map(|x| felt_to_i128(x));
|
||||
let res = match &self {
|
||||
LookupOp::Abs => Ok(tensor::ops::abs(&x)?),
|
||||
@@ -235,6 +232,13 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Op<F> for Lookup
|
||||
|
||||
Ok(ForwardResult { output })
|
||||
}
|
||||
}
|
||||
|
||||
impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Op<F> for LookupOp {
|
||||
/// Returns a reference to the Any trait.
|
||||
fn as_any(&self) -> &dyn Any {
|
||||
self
|
||||
}
|
||||
|
||||
/// Returns the name of the operation
|
||||
fn as_string(&self) -> String {
|
||||
|
||||
@@ -4,7 +4,7 @@ use serde::{Deserialize, Serialize};
|
||||
|
||||
use crate::{
|
||||
graph::quantize_tensor,
|
||||
tensor::{self, Tensor, TensorError, TensorType, ValTensor},
|
||||
tensor::{self, Tensor, TensorType, ValTensor},
|
||||
};
|
||||
use halo2curves::ff::PrimeField;
|
||||
|
||||
@@ -35,8 +35,6 @@ pub struct ForwardResult<F: PrimeField + TensorType + PartialOrd + std::hash::Ha
|
||||
pub trait Op<F: PrimeField + TensorType + PartialOrd + std::hash::Hash>:
|
||||
std::fmt::Debug + Send + Sync + Any
|
||||
{
|
||||
/// Matches a [Op] to an operation in the `tensor::ops` module.
|
||||
fn f(&self, x: &[Tensor<F>]) -> Result<ForwardResult<F>, TensorError>;
|
||||
/// Returns a string representation of the operation.
|
||||
fn as_string(&self) -> String;
|
||||
|
||||
@@ -71,33 +69,6 @@ pub trait Op<F: PrimeField + TensorType + PartialOrd + std::hash::Hash>:
|
||||
|
||||
/// Returns a reference to the Any trait.
|
||||
fn as_any(&self) -> &dyn Any;
|
||||
|
||||
/// Safe mode output checl
|
||||
fn safe_mode_check(
|
||||
&self,
|
||||
claimed_output: &ValTensor<F>,
|
||||
original_values: &[ValTensor<F>],
|
||||
) -> Result<(), TensorError> {
|
||||
let felt_evals = original_values
|
||||
.iter()
|
||||
.map(|v| {
|
||||
let mut evals = v.get_felt_evals().map_err(|_| TensorError::FeltError)?;
|
||||
evals.reshape(v.dims())?;
|
||||
Ok(evals)
|
||||
})
|
||||
.collect::<Result<Vec<_>, _>>()?;
|
||||
|
||||
let ref_op: Tensor<F> = self.f(&felt_evals)?.output;
|
||||
|
||||
let mut output = claimed_output
|
||||
.get_felt_evals()
|
||||
.map_err(|_| TensorError::FeltError)?;
|
||||
output.reshape(claimed_output.dims())?;
|
||||
|
||||
assert_eq!(output, ref_op);
|
||||
|
||||
Ok(())
|
||||
}
|
||||
}
|
||||
|
||||
impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Clone for Box<dyn Op<F>> {
|
||||
@@ -176,12 +147,6 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Op<F> for Input
|
||||
self
|
||||
}
|
||||
|
||||
fn f(&self, x: &[Tensor<F>]) -> Result<ForwardResult<F>, TensorError> {
|
||||
Ok(ForwardResult {
|
||||
output: x[0].clone(),
|
||||
})
|
||||
}
|
||||
|
||||
fn as_string(&self) -> String {
|
||||
"Input".into()
|
||||
}
|
||||
@@ -235,9 +200,6 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Op<F> for Unknow
|
||||
fn as_any(&self) -> &dyn Any {
|
||||
self
|
||||
}
|
||||
fn f(&self, _: &[Tensor<F>]) -> Result<ForwardResult<F>, TensorError> {
|
||||
Err(TensorError::WrongMethod)
|
||||
}
|
||||
|
||||
fn as_string(&self) -> String {
|
||||
"Unknown".into()
|
||||
@@ -307,11 +269,6 @@ impl<
|
||||
fn as_any(&self) -> &dyn Any {
|
||||
self
|
||||
}
|
||||
fn f(&self, _: &[Tensor<F>]) -> Result<ForwardResult<F>, TensorError> {
|
||||
let output = self.quantized_values.clone();
|
||||
|
||||
Ok(ForwardResult { output })
|
||||
}
|
||||
|
||||
fn as_string(&self) -> String {
|
||||
format!("CONST (scale={})", self.quantized_values.scale().unwrap())
|
||||
|
||||
@@ -1,6 +1,5 @@
|
||||
use crate::{
|
||||
circuit::layouts,
|
||||
fieldutils::{felt_to_i128, i128_to_felt},
|
||||
tensor::{self, Tensor, TensorError},
|
||||
};
|
||||
|
||||
@@ -32,8 +31,8 @@ pub enum PolyOp {
|
||||
equation: String,
|
||||
},
|
||||
Conv {
|
||||
padding: [(usize, usize); 2],
|
||||
stride: (usize, usize),
|
||||
padding: Vec<(usize, usize)>,
|
||||
stride: Vec<usize>,
|
||||
},
|
||||
Downsample {
|
||||
axis: usize,
|
||||
@@ -41,9 +40,9 @@ pub enum PolyOp {
|
||||
modulo: usize,
|
||||
},
|
||||
DeConv {
|
||||
padding: [(usize, usize); 2],
|
||||
output_padding: (usize, usize),
|
||||
stride: (usize, usize),
|
||||
padding: Vec<(usize, usize)>,
|
||||
output_padding: Vec<usize>,
|
||||
stride: Vec<usize>,
|
||||
},
|
||||
Add,
|
||||
Sub,
|
||||
@@ -58,7 +57,7 @@ pub enum PolyOp {
|
||||
destination: usize,
|
||||
},
|
||||
Flatten(Vec<usize>),
|
||||
Pad([(usize, usize); 2]),
|
||||
Pad(Vec<(usize, usize)>),
|
||||
Sum {
|
||||
axes: Vec<usize>,
|
||||
},
|
||||
@@ -141,15 +140,26 @@ impl<
|
||||
}
|
||||
PolyOp::Reshape(shape) => format!("RESHAPE (shape={:?})", shape),
|
||||
PolyOp::Flatten(_) => "FLATTEN".into(),
|
||||
PolyOp::Pad(_) => "PAD".into(),
|
||||
PolyOp::Pad(pads) => format!("PAD (pads={:?})", pads),
|
||||
PolyOp::Add => "ADD".into(),
|
||||
PolyOp::Mult => "MULT".into(),
|
||||
PolyOp::Sub => "SUB".into(),
|
||||
PolyOp::Sum { axes } => format!("SUM (axes={:?})", axes),
|
||||
PolyOp::Prod { .. } => "PROD".into(),
|
||||
PolyOp::Pow(_) => "POW".into(),
|
||||
PolyOp::Conv { .. } => "CONV".into(),
|
||||
PolyOp::DeConv { .. } => "DECONV".into(),
|
||||
PolyOp::Conv { stride, padding } => {
|
||||
format!("CONV (stride={:?}, padding={:?})", stride, padding)
|
||||
}
|
||||
PolyOp::DeConv {
|
||||
stride,
|
||||
padding,
|
||||
output_padding,
|
||||
} => {
|
||||
format!(
|
||||
"DECONV (stride={:?}, padding={:?}, output_padding={:?})",
|
||||
stride, padding, output_padding
|
||||
)
|
||||
}
|
||||
PolyOp::Concat { axis } => format!("CONCAT (axis={})", axis),
|
||||
PolyOp::Slice { axis, start, end } => {
|
||||
format!("SLICE (axis={}, start={}, end={})", axis, start, end)
|
||||
@@ -163,150 +173,6 @@ impl<
|
||||
}
|
||||
}
|
||||
|
||||
/// Matches a [Op] to an operation in the `tensor::ops` module.
|
||||
fn f(&self, inputs: &[Tensor<F>]) -> Result<ForwardResult<F>, TensorError> {
|
||||
let mut inputs = inputs.to_vec();
|
||||
let res = match &self {
|
||||
PolyOp::MeanOfSquares { axes } => {
|
||||
let x = inputs[0].map(|x| felt_to_i128(x));
|
||||
Ok(tensor::ops::nonlinearities::mean_of_squares_axes(&x, axes).map(i128_to_felt))
|
||||
}
|
||||
PolyOp::MultiBroadcastTo { shape } => {
|
||||
if 1 != inputs.len() {
|
||||
return Err(TensorError::DimMismatch(
|
||||
"multibroadcastto inputs".to_string(),
|
||||
));
|
||||
}
|
||||
inputs[0].expand(shape)
|
||||
}
|
||||
PolyOp::And => tensor::ops::and(&inputs[0], &inputs[1]),
|
||||
PolyOp::Or => tensor::ops::or(&inputs[0], &inputs[1]),
|
||||
PolyOp::Xor => tensor::ops::xor(&inputs[0], &inputs[1]),
|
||||
PolyOp::Not => tensor::ops::not(&inputs[0]),
|
||||
PolyOp::Downsample {
|
||||
axis,
|
||||
stride,
|
||||
modulo,
|
||||
} => tensor::ops::downsample(&inputs[0], *axis, *stride, *modulo),
|
||||
PolyOp::Resize { scale_factor } => tensor::ops::resize(&inputs[0], scale_factor),
|
||||
PolyOp::Iff => tensor::ops::iff(&inputs[0], &inputs[1], &inputs[2]),
|
||||
PolyOp::Einsum { equation } => tensor::ops::einsum(equation, &inputs),
|
||||
PolyOp::Identity { .. } => Ok(inputs[0].clone()),
|
||||
PolyOp::Reshape(new_dims) => {
|
||||
let mut t = inputs[0].clone();
|
||||
t.reshape(new_dims)?;
|
||||
Ok(t)
|
||||
}
|
||||
PolyOp::MoveAxis {
|
||||
source,
|
||||
destination,
|
||||
} => inputs[0].move_axis(*source, *destination),
|
||||
PolyOp::Flatten(new_dims) => {
|
||||
let mut t = inputs[0].clone();
|
||||
t.reshape(new_dims)?;
|
||||
Ok(t)
|
||||
}
|
||||
PolyOp::Pad(p) => {
|
||||
if 1 != inputs.len() {
|
||||
return Err(TensorError::DimMismatch("pad inputs".to_string()));
|
||||
}
|
||||
tensor::ops::pad(&inputs[0], *p)
|
||||
}
|
||||
PolyOp::Add => tensor::ops::add(&inputs),
|
||||
PolyOp::Neg => tensor::ops::neg(&inputs[0]),
|
||||
PolyOp::Sub => tensor::ops::sub(&inputs),
|
||||
PolyOp::Mult => tensor::ops::mult(&inputs),
|
||||
PolyOp::Conv { padding, stride } => tensor::ops::conv(&inputs, *padding, *stride),
|
||||
PolyOp::DeConv {
|
||||
padding,
|
||||
output_padding,
|
||||
stride,
|
||||
} => tensor::ops::deconv(&inputs, *padding, *output_padding, *stride),
|
||||
PolyOp::Pow(u) => {
|
||||
if 1 != inputs.len() {
|
||||
return Err(TensorError::DimMismatch("pow inputs".to_string()));
|
||||
}
|
||||
inputs[0].pow(*u)
|
||||
}
|
||||
PolyOp::Sum { axes } => {
|
||||
if 1 != inputs.len() {
|
||||
return Err(TensorError::DimMismatch("sum inputs".to_string()));
|
||||
}
|
||||
tensor::ops::sum_axes(&inputs[0], axes)
|
||||
}
|
||||
PolyOp::Prod { axes, .. } => {
|
||||
if 1 != inputs.len() {
|
||||
return Err(TensorError::DimMismatch("prod inputs".to_string()));
|
||||
}
|
||||
tensor::ops::prod_axes(&inputs[0], axes)
|
||||
}
|
||||
PolyOp::Concat { axis } => {
|
||||
tensor::ops::concat(&inputs.iter().collect::<Vec<_>>(), *axis)
|
||||
}
|
||||
PolyOp::Slice { axis, start, end } => {
|
||||
if 1 != inputs.len() {
|
||||
return Err(TensorError::DimMismatch("slice inputs".to_string()));
|
||||
}
|
||||
tensor::ops::slice(&inputs[0], axis, start, end)
|
||||
}
|
||||
PolyOp::GatherElements { dim, constant_idx } => {
|
||||
let x = inputs[0].clone();
|
||||
let y = if let Some(idx) = constant_idx {
|
||||
idx.clone()
|
||||
} else {
|
||||
inputs[1].clone().map(|x| felt_to_i128(x) as usize)
|
||||
};
|
||||
tensor::ops::gather_elements(&x, &y, *dim)
|
||||
}
|
||||
PolyOp::GatherND {
|
||||
indices,
|
||||
batch_dims,
|
||||
} => {
|
||||
let x = inputs[0].clone();
|
||||
let y = if let Some(idx) = indices {
|
||||
idx.clone()
|
||||
} else {
|
||||
inputs[1].clone().map(|x| felt_to_i128(x) as usize)
|
||||
};
|
||||
tensor::ops::gather_nd(&x, &y, *batch_dims)
|
||||
}
|
||||
PolyOp::ScatterElements { dim, constant_idx } => {
|
||||
let x = inputs[0].clone();
|
||||
|
||||
let idx = if let Some(idx) = constant_idx {
|
||||
idx.clone()
|
||||
} else {
|
||||
inputs[1].clone().map(|x| felt_to_i128(x) as usize)
|
||||
};
|
||||
|
||||
let src = if constant_idx.is_some() {
|
||||
inputs[1].clone()
|
||||
} else {
|
||||
inputs[2].clone()
|
||||
};
|
||||
tensor::ops::scatter(&x, &idx, &src, *dim)
|
||||
}
|
||||
|
||||
PolyOp::ScatterND { constant_idx } => {
|
||||
let x = inputs[0].clone();
|
||||
let idx = if let Some(idx) = constant_idx {
|
||||
idx.clone()
|
||||
} else {
|
||||
inputs[1].clone().map(|x| felt_to_i128(x) as usize)
|
||||
};
|
||||
let src = if constant_idx.is_some() {
|
||||
inputs[1].clone()
|
||||
} else {
|
||||
inputs[2].clone()
|
||||
};
|
||||
tensor::ops::scatter_nd(&x, &idx, &src)
|
||||
}
|
||||
PolyOp::Trilu { upper, k } => tensor::ops::trilu(&inputs[0], *k, *upper),
|
||||
}?;
|
||||
|
||||
Ok(ForwardResult { output: res })
|
||||
}
|
||||
|
||||
fn layout(
|
||||
&self,
|
||||
config: &mut crate::circuit::BaseConfig<F>,
|
||||
@@ -346,7 +212,7 @@ impl<
|
||||
layouts::prod_axes(config, region, values[..].try_into()?, axes)?
|
||||
}
|
||||
PolyOp::Conv { padding, stride } => {
|
||||
layouts::conv(config, region, values[..].try_into()?, *padding, *stride)?
|
||||
layouts::conv(config, region, values[..].try_into()?, padding, stride)?
|
||||
}
|
||||
PolyOp::GatherElements { dim, constant_idx } => {
|
||||
if let Some(idx) = constant_idx {
|
||||
@@ -398,9 +264,9 @@ impl<
|
||||
config,
|
||||
region,
|
||||
values[..].try_into()?,
|
||||
*padding,
|
||||
*output_padding,
|
||||
*stride,
|
||||
padding,
|
||||
output_padding,
|
||||
stride,
|
||||
)?,
|
||||
PolyOp::Add => layouts::pairwise(config, region, values[..].try_into()?, BaseOp::Add)?,
|
||||
PolyOp::Sub => layouts::pairwise(config, region, values[..].try_into()?, BaseOp::Sub)?,
|
||||
@@ -416,7 +282,7 @@ impl<
|
||||
)));
|
||||
}
|
||||
let mut input = values[0].clone();
|
||||
input.pad(*p)?;
|
||||
input.pad(p.clone(), 0)?;
|
||||
input
|
||||
}
|
||||
PolyOp::Pow(exp) => layouts::pow(config, region, values[..].try_into()?, *exp)?,
|
||||
|
||||
@@ -17,8 +17,6 @@ use crate::{
|
||||
|
||||
use crate::circuit::lookup::LookupOp;
|
||||
|
||||
use super::Op;
|
||||
|
||||
/// The range of the lookup table.
|
||||
pub type Range = (i128, i128);
|
||||
|
||||
@@ -113,11 +111,10 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Table<F> {
|
||||
let chunk = chunk as i128;
|
||||
// we index from 1 to prevent soundness issues
|
||||
let first_element = i128_to_felt(chunk * (self.col_size as i128) + self.range.0);
|
||||
let op_f = Op::<F>::f(
|
||||
&self.nonlinearity,
|
||||
&[Tensor::from(vec![first_element].into_iter())],
|
||||
)
|
||||
.unwrap();
|
||||
let op_f = self
|
||||
.nonlinearity
|
||||
.f(&[Tensor::from(vec![first_element].into_iter())])
|
||||
.unwrap();
|
||||
(first_element, op_f.output[0])
|
||||
}
|
||||
|
||||
@@ -205,8 +202,8 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> Table<F> {
|
||||
let smallest = self.range.0;
|
||||
let largest = self.range.1;
|
||||
|
||||
let inputs = Tensor::from(smallest..=largest).map(|x| i128_to_felt(x));
|
||||
let evals = Op::<F>::f(&self.nonlinearity, &[inputs.clone()])?;
|
||||
let inputs: Tensor<F> = Tensor::from(smallest..=largest).map(|x| i128_to_felt(x));
|
||||
let evals = self.nonlinearity.f(&[inputs.clone()])?;
|
||||
let chunked_inputs = inputs.chunks(self.col_size);
|
||||
|
||||
self.is_assigned = true;
|
||||
|
||||
@@ -1048,8 +1048,8 @@ mod conv {
|
||||
&mut region,
|
||||
&self.inputs,
|
||||
Box::new(PolyOp::Conv {
|
||||
padding: [(1, 1); 2],
|
||||
stride: (2, 2),
|
||||
padding: vec![(1, 1); 2],
|
||||
stride: vec![2; 2],
|
||||
}),
|
||||
)
|
||||
.map_err(|_| Error::Synthesis)
|
||||
@@ -1198,8 +1198,8 @@ mod conv_col_ultra_overflow {
|
||||
&mut region,
|
||||
&[self.image.clone(), self.kernel.clone()],
|
||||
Box::new(PolyOp::Conv {
|
||||
padding: [(1, 1); 2],
|
||||
stride: (2, 2),
|
||||
padding: vec![(1, 1); 2],
|
||||
stride: vec![2; 2],
|
||||
}),
|
||||
)
|
||||
.map_err(|_| Error::Synthesis)
|
||||
@@ -1343,8 +1343,8 @@ mod conv_relu_col_ultra_overflow {
|
||||
&mut region,
|
||||
&[self.image.clone(), self.kernel.clone()],
|
||||
Box::new(PolyOp::Conv {
|
||||
padding: [(1, 1); 2],
|
||||
stride: (2, 2),
|
||||
padding: vec![(1, 1); 2],
|
||||
stride: vec![2; 2],
|
||||
}),
|
||||
)
|
||||
.map_err(|_| Error::Synthesis);
|
||||
|
||||
@@ -14,7 +14,6 @@ use crate::circuit::Op;
|
||||
use crate::circuit::Unknown;
|
||||
#[cfg(not(target_arch = "wasm32"))]
|
||||
use crate::graph::new_op_from_onnx;
|
||||
use crate::tensor::Tensor;
|
||||
use crate::tensor::TensorError;
|
||||
use halo2curves::bn256::Fr as Fp;
|
||||
#[cfg(not(target_arch = "wasm32"))]
|
||||
@@ -61,20 +60,6 @@ impl Op<Fp> for Rescaled {
|
||||
fn as_any(&self) -> &dyn std::any::Any {
|
||||
self
|
||||
}
|
||||
fn f(&self, x: &[Tensor<Fp>]) -> Result<crate::circuit::ForwardResult<Fp>, TensorError> {
|
||||
if self.scale.len() != x.len() {
|
||||
return Err(TensorError::DimMismatch("rescaled inputs".to_string()));
|
||||
}
|
||||
|
||||
let mut rescaled_inputs = vec![];
|
||||
let inputs = &mut x.to_vec();
|
||||
for (i, ri) in inputs.iter_mut().enumerate() {
|
||||
let mult_tensor = Tensor::from([Fp::from(self.scale[i].1 as u64)].into_iter());
|
||||
let res = (ri.clone() * mult_tensor)?;
|
||||
rescaled_inputs.push(res);
|
||||
}
|
||||
Op::<Fp>::f(&*self.inner, &rescaled_inputs)
|
||||
}
|
||||
|
||||
fn as_string(&self) -> String {
|
||||
format!("RESCALED INPUT ({})", self.inner.as_string())
|
||||
@@ -215,13 +200,6 @@ impl Op<Fp> for RebaseScale {
|
||||
fn as_any(&self) -> &dyn std::any::Any {
|
||||
self
|
||||
}
|
||||
fn f(&self, x: &[Tensor<Fp>]) -> Result<crate::circuit::ForwardResult<Fp>, TensorError> {
|
||||
let mut res = Op::<Fp>::f(&*self.inner, x)?;
|
||||
let rebase_res = Op::<Fp>::f(&self.rebase_op, &[res.output])?;
|
||||
res.output = rebase_res.output;
|
||||
|
||||
Ok(res)
|
||||
}
|
||||
|
||||
fn as_string(&self) -> String {
|
||||
format!(
|
||||
@@ -389,13 +367,6 @@ impl From<Box<dyn Op<Fp>>> for SupportedOp {
|
||||
}
|
||||
|
||||
impl Op<Fp> for SupportedOp {
|
||||
fn f(
|
||||
&self,
|
||||
inputs: &[Tensor<Fp>],
|
||||
) -> Result<crate::circuit::ForwardResult<Fp>, crate::tensor::TensorError> {
|
||||
self.as_op().f(inputs)
|
||||
}
|
||||
|
||||
fn layout(
|
||||
&self,
|
||||
config: &mut crate::circuit::BaseConfig<Fp>,
|
||||
|
||||
@@ -1119,17 +1119,7 @@ pub fn new_op_from_onnx(
|
||||
.ok_or(GraphError::MissingParams("stride".to_string()))?;
|
||||
let padding = match &pool_spec.padding {
|
||||
PaddingSpec::Explicit(b, a) | PaddingSpec::ExplicitOnnxPool(b, a, _) => {
|
||||
if b.len() == 2 && a.len() == 2 {
|
||||
[(b[0], b[1]), (a[0], a[1])]
|
||||
} else if b.len() == 1 && a.len() == 1 {
|
||||
[(b[0], b[0]), (a[0], a[0])]
|
||||
} else if b.len() == 1 && a.len() == 2 {
|
||||
[(b[0], b[0]), (a[0], a[1])]
|
||||
} else if b.len() == 2 && a.len() == 1 {
|
||||
[(b[0], b[1]), (a[0], a[0])]
|
||||
} else {
|
||||
return Err(Box::new(GraphError::MissingParams("padding".to_string())));
|
||||
}
|
||||
b.iter().zip(a.iter()).map(|(b, a)| (*b, *a)).collect()
|
||||
}
|
||||
_ => {
|
||||
return Err(Box::new(GraphError::MissingParams("padding".to_string())));
|
||||
@@ -1137,26 +1127,10 @@ pub fn new_op_from_onnx(
|
||||
};
|
||||
let kernel_shape = &pool_spec.kernel_shape;
|
||||
|
||||
let (stride_h, stride_w) = if stride.len() == 1 {
|
||||
(1, stride[0])
|
||||
} else if stride.len() == 2 {
|
||||
(stride[0], stride[1])
|
||||
} else {
|
||||
return Err(Box::new(GraphError::MissingParams("stride".to_string())));
|
||||
};
|
||||
|
||||
let (kernel_height, kernel_width) = if kernel_shape.len() == 1 {
|
||||
(1, kernel_shape[0])
|
||||
} else if kernel_shape.len() == 2 {
|
||||
(kernel_shape[0], kernel_shape[1])
|
||||
} else {
|
||||
return Err(Box::new(GraphError::MissingParams("kernel".to_string())));
|
||||
};
|
||||
|
||||
SupportedOp::Hybrid(HybridOp::MaxPool2d {
|
||||
SupportedOp::Hybrid(HybridOp::MaxPool {
|
||||
padding,
|
||||
stride: (stride_h, stride_w),
|
||||
pool_dims: (kernel_height, kernel_width),
|
||||
stride: stride.to_vec(),
|
||||
pool_dims: kernel_shape.to_vec(),
|
||||
})
|
||||
}
|
||||
"Ceil" => SupportedOp::Nonlinear(LookupOp::Ceil {
|
||||
@@ -1218,15 +1192,7 @@ pub fn new_op_from_onnx(
|
||||
}
|
||||
|
||||
let stride = match conv_node.pool_spec.strides.clone() {
|
||||
Some(s) => {
|
||||
if s.len() == 1 {
|
||||
(s[0], s[0])
|
||||
} else if s.len() == 2 {
|
||||
(s[0], s[1])
|
||||
} else {
|
||||
return Err(Box::new(GraphError::MissingParams("strides".to_string())));
|
||||
}
|
||||
}
|
||||
Some(s) => s.to_vec(),
|
||||
None => {
|
||||
return Err(Box::new(GraphError::MissingParams("strides".to_string())));
|
||||
}
|
||||
@@ -1234,17 +1200,7 @@ pub fn new_op_from_onnx(
|
||||
|
||||
let padding = match &conv_node.pool_spec.padding {
|
||||
PaddingSpec::Explicit(b, a) | PaddingSpec::ExplicitOnnxPool(b, a, _) => {
|
||||
if b.len() == 2 && a.len() == 2 {
|
||||
[(b[0], b[1]), (a[0], a[1])]
|
||||
} else if b.len() == 1 && a.len() == 1 {
|
||||
[(b[0], b[0]), (a[0], a[0])]
|
||||
} else if b.len() == 1 && a.len() == 2 {
|
||||
[(b[0], b[0]), (a[0], a[1])]
|
||||
} else if b.len() == 2 && a.len() == 1 {
|
||||
[(b[0], b[1]), (a[0], a[0])]
|
||||
} else {
|
||||
return Err(Box::new(GraphError::MissingParams("padding".to_string())));
|
||||
}
|
||||
b.iter().zip(a.iter()).map(|(b, a)| (*b, *a)).collect()
|
||||
}
|
||||
_ => {
|
||||
return Err(Box::new(GraphError::MissingParams("padding".to_string())));
|
||||
@@ -1299,33 +1255,20 @@ pub fn new_op_from_onnx(
|
||||
}
|
||||
|
||||
let stride = match deconv_node.pool_spec.strides.clone() {
|
||||
Some(s) => (s[0], s[1]),
|
||||
Some(s) => s.to_vec(),
|
||||
None => {
|
||||
return Err(Box::new(GraphError::MissingParams("strides".to_string())));
|
||||
}
|
||||
};
|
||||
let padding = match &deconv_node.pool_spec.padding {
|
||||
PaddingSpec::Explicit(b, a) | PaddingSpec::ExplicitOnnxPool(b, a, _) => {
|
||||
if b.len() == 2 && a.len() == 2 {
|
||||
[(b[0], b[1]), (a[0], a[1])]
|
||||
} else if b.len() == 1 && a.len() == 1 {
|
||||
[(b[0], b[0]), (a[0], a[0])]
|
||||
} else if b.len() == 1 && a.len() == 2 {
|
||||
[(b[0], b[0]), (a[0], a[1])]
|
||||
} else if b.len() == 2 && a.len() == 1 {
|
||||
[(b[0], b[1]), (a[0], a[0])]
|
||||
} else {
|
||||
return Err(Box::new(GraphError::MissingParams("padding".to_string())));
|
||||
}
|
||||
b.iter().zip(a.iter()).map(|(b, a)| (*b, *a)).collect()
|
||||
}
|
||||
_ => {
|
||||
return Err(Box::new(GraphError::MissingParams("padding".to_string())));
|
||||
}
|
||||
};
|
||||
|
||||
let output_padding: (usize, usize) =
|
||||
(deconv_node.adjustments[0], deconv_node.adjustments[1]);
|
||||
|
||||
// if bias exists then rescale it to the input + kernel scale
|
||||
if input_scales.len() == 3 {
|
||||
let bias_scale = input_scales[2];
|
||||
@@ -1344,7 +1287,7 @@ pub fn new_op_from_onnx(
|
||||
|
||||
SupportedOp::Linear(PolyOp::DeConv {
|
||||
padding,
|
||||
output_padding,
|
||||
output_padding: deconv_node.adjustments.to_vec(),
|
||||
stride,
|
||||
})
|
||||
}
|
||||
@@ -1445,46 +1388,17 @@ pub fn new_op_from_onnx(
|
||||
.ok_or(GraphError::MissingParams("stride".to_string()))?;
|
||||
let padding = match &pool_spec.padding {
|
||||
PaddingSpec::Explicit(b, a) | PaddingSpec::ExplicitOnnxPool(b, a, _) => {
|
||||
if b.len() == 2 && a.len() == 2 {
|
||||
[(b[0], b[1]), (a[0], a[1])]
|
||||
} else if b.len() == 1 && a.len() == 1 {
|
||||
[(b[0], b[0]), (a[0], a[0])]
|
||||
} else if b.len() == 1 && a.len() == 2 {
|
||||
[(b[0], b[0]), (a[0], a[1])]
|
||||
} else if b.len() == 2 && a.len() == 1 {
|
||||
[(b[0], b[1]), (a[0], a[0])]
|
||||
} else {
|
||||
return Err(Box::new(GraphError::MissingParams("padding".to_string())));
|
||||
}
|
||||
b.iter().zip(a.iter()).map(|(b, a)| (*b, *a)).collect()
|
||||
}
|
||||
_ => {
|
||||
return Err(Box::new(GraphError::MissingParams("padding".to_string())));
|
||||
}
|
||||
};
|
||||
let kernel_shape = &pool_spec.kernel_shape;
|
||||
|
||||
let (stride_h, stride_w) = if stride.len() == 1 {
|
||||
(1, stride[0])
|
||||
} else if stride.len() == 2 {
|
||||
(stride[0], stride[1])
|
||||
} else {
|
||||
return Err(Box::new(GraphError::MissingParams("stride".to_string())));
|
||||
};
|
||||
|
||||
let (kernel_height, kernel_width) = if kernel_shape.len() == 1 {
|
||||
(1, kernel_shape[0])
|
||||
} else if kernel_shape.len() == 2 {
|
||||
(kernel_shape[0], kernel_shape[1])
|
||||
} else {
|
||||
return Err(Box::new(GraphError::MissingParams(
|
||||
"kernel shape".to_string(),
|
||||
)));
|
||||
};
|
||||
|
||||
SupportedOp::Hybrid(HybridOp::SumPool {
|
||||
padding,
|
||||
stride: (stride_h, stride_w),
|
||||
kernel_shape: (kernel_height, kernel_width),
|
||||
stride: stride.to_vec(),
|
||||
kernel_shape: pool_spec.kernel_shape.to_vec(),
|
||||
normalized: sumpool_node.normalize,
|
||||
})
|
||||
}
|
||||
@@ -1511,29 +1425,7 @@ pub fn new_op_from_onnx(
|
||||
)));
|
||||
}
|
||||
|
||||
let padding_len = pad_node.pads.len();
|
||||
|
||||
// we only support symmetrical padding that affects the last 2 dims (height and width params)
|
||||
for (i, pad_params) in pad_node.pads.iter().enumerate() {
|
||||
if (i < padding_len - 2) && ((pad_params.0 != 0) || (pad_params.1 != 0)) {
|
||||
return Err(Box::new(GraphError::MisformedParams(
|
||||
"ezkl currently only supports padding height and width dimensions"
|
||||
.to_string(),
|
||||
)));
|
||||
}
|
||||
}
|
||||
|
||||
let padding = [
|
||||
(
|
||||
pad_node.pads[padding_len - 2].0,
|
||||
pad_node.pads[padding_len - 1].0,
|
||||
),
|
||||
(
|
||||
pad_node.pads[padding_len - 2].1,
|
||||
pad_node.pads[padding_len - 1].1,
|
||||
),
|
||||
];
|
||||
SupportedOp::Linear(PolyOp::Pad(padding))
|
||||
SupportedOp::Linear(PolyOp::Pad(pad_node.pads.to_vec()))
|
||||
}
|
||||
"RmAxis" | "Reshape" | "AddAxis" => {
|
||||
// Extract the slope layer hyperparams
|
||||
|
||||
@@ -60,6 +60,9 @@ pub enum TensorError {
|
||||
/// Unsupported operation
|
||||
#[error("Unsupported operation on a tensor type")]
|
||||
Unsupported,
|
||||
/// Overflow
|
||||
#[error("Unsigned integer overflow or underflow error in op: {0}")]
|
||||
Overflow(String),
|
||||
}
|
||||
|
||||
/// The (inner) type of tensor elements.
|
||||
|
||||
2142
src/tensor/ops.rs
2142
src/tensor/ops.rs
File diff suppressed because it is too large
Load Diff
@@ -316,6 +316,12 @@ impl<F: PrimeField + TensorType + PartialOrd> From<Tensor<AssignedCell<F, F>>> f
|
||||
}
|
||||
|
||||
impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> ValTensor<F> {
|
||||
/// Allocate a new [ValTensor::Value] from the given [Tensor] of [i128].
|
||||
pub fn from_i128_tensor(t: Tensor<i128>) -> ValTensor<F> {
|
||||
let inner = t.map(|x| ValType::Value(Value::known(i128_to_felt(x))));
|
||||
inner.into()
|
||||
}
|
||||
|
||||
/// Allocate a new [ValTensor::Instance] from the ConstraintSystem with the given tensor `dims`, optionally enabling `equality`.
|
||||
pub fn new_instance(
|
||||
cs: &mut ConstraintSystem<F>,
|
||||
@@ -873,13 +879,13 @@ impl<F: PrimeField + TensorType + PartialOrd + std::hash::Hash> ValTensor<F> {
|
||||
};
|
||||
Ok(())
|
||||
}
|
||||
/// Calls `pad` on the inner [Tensor].
|
||||
pub fn pad(&mut self, padding: [(usize, usize); 2]) -> Result<(), TensorError> {
|
||||
/// Calls `pad_spatial_dims` on the inner [Tensor].
|
||||
pub fn pad(&mut self, padding: Vec<(usize, usize)>, offset: usize) -> Result<(), TensorError> {
|
||||
match self {
|
||||
ValTensor::Value {
|
||||
inner: v, dims: d, ..
|
||||
} => {
|
||||
*v = pad(v, padding)?;
|
||||
*v = pad(v, padding, offset)?;
|
||||
*d = v.dims().to_vec();
|
||||
}
|
||||
ValTensor::Instance { .. } => {
|
||||
|
||||
Reference in New Issue
Block a user