[INFO] cloning repository https://github.com/antimora/face-onnx [INFO] running `Command { std: "git" "-c" "credential.helper=" "-c" "credential.helper=/workspace/cargo-home/bin/git-credential-null" "clone" "--bare" "https://github.com/antimora/face-onnx" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fantimora%2Fface-onnx", kill_on_drop: false }` [INFO] [stderr] Cloning into bare repository '/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fantimora%2Fface-onnx'... [INFO] running `Command { std: "git" "rev-parse" "HEAD", kill_on_drop: false }` [INFO] [stdout] e0014af82b40d2cc5afbf1a385495b907b82f8ff [INFO] checking antimora/face-onnx/e0014af82b40d2cc5afbf1a385495b907b82f8ff against master#733108b6d4acaa93fe26ae281ea305aacd6aac4e for pr-148967 [INFO] running `Command { std: "git" "clone" "/workspace/cache/git-repos/https%3A%2F%2Fgithub.com%2Fantimora%2Fface-onnx" "/workspace/builds/worker-5-tc1/source", kill_on_drop: false }` [INFO] [stderr] Cloning into '/workspace/builds/worker-5-tc1/source'... [INFO] [stderr] done. [INFO] started tweaking git repo https://github.com/antimora/face-onnx [INFO] finished tweaking git repo https://github.com/antimora/face-onnx [INFO] tweaked toml for git repo https://github.com/antimora/face-onnx written to /workspace/builds/worker-5-tc1/source/Cargo.toml [INFO] validating manifest of git repo https://github.com/antimora/face-onnx on toolchain 733108b6d4acaa93fe26ae281ea305aacd6aac4e [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+733108b6d4acaa93fe26ae281ea305aacd6aac4e" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }` [INFO] crate git repo https://github.com/antimora/face-onnx already has a lockfile, it will not be regenerated [INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+733108b6d4acaa93fe26ae281ea305aacd6aac4e" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }` [INFO] [stderr] Updating git repository `https://github.com/tracel-ai/burn` [INFO] [stderr] Updating crates.io index [INFO] [stderr] Updating git repository `https://github.com/tracel-ai/cubecl` [INFO] [stderr] Downloading crates ... [INFO] [stderr] Downloaded deflate64 v0.1.9 [INFO] [stderr] Downloaded zopfli v0.8.1 [INFO] [stderr] Downloaded protobuf-support v3.5.0 [INFO] [stderr] Downloaded lockfree-object-pool v0.1.6 [INFO] [stderr] Downloaded profiling-procmacros v1.0.15 [INFO] [stderr] Downloaded r2d2_sqlite v0.24.0 [INFO] [stderr] Downloaded gix-trace v0.1.9 [INFO] [stderr] Downloaded rgb v0.8.45 [INFO] [stderr] Downloaded bytesize v1.3.0 [INFO] [stderr] Downloaded avif-serialize v0.8.1 [INFO] [stderr] Downloaded zip v2.1.5 [INFO] [stderr] Downloaded gix-utils v0.1.12 [INFO] [stderr] Downloaded gix-fs v0.11.1 [INFO] [stderr] Downloaded gix-tempfile v14.0.0 [INFO] [stderr] Downloaded built v0.7.4 [INFO] [stderr] Downloaded enum-as-inner v0.6.0 [INFO] [stderr] Downloaded bitstream-io v2.5.0 [INFO] [stderr] Downloaded serde_rusqlite v0.35.0 [INFO] [stderr] Downloaded ravif v0.11.8 [INFO] [stderr] Downloaded safetensors v0.4.3 [INFO] [stderr] Downloaded protobuf-parse v3.5.0 [INFO] [stderr] Downloaded image-webp v0.1.3 [INFO] [stderr] Downloaded imgref v1.10.1 [INFO] [stderr] Downloaded protobuf-codegen v3.5.0 [INFO] [stderr] Downloaded rust-format v0.3.4 [INFO] [stderr] Downloaded ureq v2.10.0 [INFO] [stderr] Downloaded pulp v0.18.21 [INFO] [stderr] Downloaded protobuf v3.5.0 [INFO] [stderr] Downloaded winnow v0.6.14 [INFO] [stderr] Downloaded rustls-webpki v0.102.6 [INFO] [stderr] Downloaded webpki-roots v0.26.3 [INFO] [stderr] Downloaded rustls v0.23.11 [INFO] [stderr] Downloaded systemstat v0.2.3 [INFO] [stderr] Downloaded cudarc v0.11.5 [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:4848fb76d95f26979359cc7e45710b1dbc8f3acb7aeedee7c460d7702230f228" "/opt/rustwide/cargo-home/bin/cargo" "+733108b6d4acaa93fe26ae281ea305aacd6aac4e" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }` [INFO] [stdout] 608d2496bdb9ee64041aa8bee8ff753b9dd95c314370746ecbc33ea6bdb77edb [INFO] running `Command { std: "docker" "start" "-a" "608d2496bdb9ee64041aa8bee8ff753b9dd95c314370746ecbc33ea6bdb77edb", kill_on_drop: false }` [INFO] running `Command { std: "docker" "inspect" "608d2496bdb9ee64041aa8bee8ff753b9dd95c314370746ecbc33ea6bdb77edb", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "608d2496bdb9ee64041aa8bee8ff753b9dd95c314370746ecbc33ea6bdb77edb", kill_on_drop: false }` [INFO] [stdout] 608d2496bdb9ee64041aa8bee8ff753b9dd95c314370746ecbc33ea6bdb77edb [INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/target:/opt/rustwide/target:rw,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-5-tc1/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/cargo-home:/opt/rustwide/cargo-home:ro,Z" "-v" "/var/lib/crater-agent-workspace/rustup-home:/opt/rustwide/rustup-home:ro,Z" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-e" "CARGO_INCREMENTAL=0" "-e" "RUST_BACKTRACE=full" "-e" "RUSTFLAGS=--cap-lints=forbid" "-e" "RUSTDOCFLAGS=--cap-lints=forbid" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-w" "/opt/rustwide/workdir" "-m" "1610612736" "--user" "0:0" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:4848fb76d95f26979359cc7e45710b1dbc8f3acb7aeedee7c460d7702230f228" "/opt/rustwide/cargo-home/bin/cargo" "+733108b6d4acaa93fe26ae281ea305aacd6aac4e" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }` [INFO] [stdout] d652f2ad58f092ce062734af2a97c3231673d2b87679115b49294c513ec40293 [INFO] running `Command { std: "docker" "start" "-a" "d652f2ad58f092ce062734af2a97c3231673d2b87679115b49294c513ec40293", kill_on_drop: false }` [INFO] [stderr] Compiling proc-macro2 v1.0.86 [INFO] [stderr] Compiling libc v0.2.155 [INFO] [stderr] Compiling serde v1.0.204 [INFO] [stderr] Compiling autocfg v1.3.0 [INFO] [stderr] Compiling libm v0.2.8 [INFO] [stderr] Compiling zerocopy v0.7.35 [INFO] [stderr] Compiling ahash v0.8.11 [INFO] [stderr] Compiling allocator-api2 v0.2.18 [INFO] [stderr] Compiling ppv-lite86 v0.2.17 [INFO] [stderr] Compiling crossbeam-utils v0.8.20 [INFO] [stderr] Compiling seq-macro v0.3.5 [INFO] [stderr] Compiling log v0.4.22 [INFO] [stderr] Checking either v1.13.0 [INFO] [stderr] Compiling serde_json v1.0.120 [INFO] [stderr] Compiling rustix v0.38.34 [INFO] [stderr] Compiling generic-array v0.14.7 [INFO] [stderr] Checking rayon v1.10.0 [INFO] [stderr] Compiling aho-corasick v1.1.3 [INFO] [stderr] Compiling num-traits v0.2.19 [INFO] [stderr] Compiling lock_api v0.4.12 [INFO] [stderr] Compiling matrixmultiply v0.3.8 [INFO] [stderr] Compiling bitflags v2.6.0 [INFO] [stderr] Compiling reborrow v0.5.5 [INFO] [stderr] Compiling toml_datetime v0.6.6 [INFO] [stderr] Compiling protobuf v3.5.0 [INFO] [stderr] Compiling regex-syntax v0.8.4 [INFO] [stderr] Compiling winnow v0.5.40 [INFO] [stderr] Compiling quote v1.0.36 [INFO] [stderr] Compiling crossbeam-epoch v0.9.18 [INFO] [stderr] Compiling linux-raw-sys v0.4.14 [INFO] [stderr] Compiling anyhow v1.0.86 [INFO] [stderr] Compiling syn v2.0.72 [INFO] [stderr] Compiling crossbeam-deque v0.8.5 [INFO] [stderr] Compiling raw-cpuid v10.7.0 [INFO] [stderr] Compiling rayon-core v1.12.1 [INFO] [stderr] Compiling bytes v1.6.1 [INFO] [stderr] Compiling fastrand v2.1.0 [INFO] [stderr] Compiling 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rust-format v0.3.4 [INFO] [stderr] Checking bzip2 v0.4.4 [INFO] [stderr] Compiling serde_derive v1.0.204 [INFO] [stderr] Compiling bytemuck_derive v1.7.0 [INFO] [stderr] Compiling thiserror-impl v1.0.63 [INFO] [stderr] Compiling derive-new v0.6.0 [INFO] [stderr] Compiling zerofrom-derive v0.1.4 [INFO] [stderr] Compiling displaydoc v0.2.5 [INFO] [stderr] Compiling yoke-derive v0.7.4 [INFO] [stderr] Compiling zeroize_derive v1.4.2 [INFO] [stderr] Compiling strum_macros v0.26.4 [INFO] [stderr] Compiling burn-derive v0.14.0 (https://github.com/tracel-ai/burn#4c735323) [INFO] [stderr] Compiling zeroize v1.8.1 [INFO] [stderr] Compiling bytemuck v1.16.1 [INFO] [stderr] Compiling num-complex v0.4.6 [INFO] [stderr] Compiling dyn-stack v0.10.0 [INFO] [stderr] Compiling zerofrom v0.1.4 [INFO] [stderr] Compiling yoke v0.7.4 [INFO] [stderr] Compiling thiserror v1.0.63 [INFO] [stderr] Compiling protobuf-support v3.5.0 [INFO] [stderr] Checking pulp v0.18.21 [INFO] [stderr] Checking ndarray v0.15.6 [INFO] [stderr] Checking zstd v0.13.2 [INFO] [stderr] Checking half v2.4.1 [INFO] [stderr] Checking hashbrown v0.14.5 [INFO] [stderr] Checking cubecl-common v0.1.1 (https://github.com/tracel-ai/cubecl#c35c4248) [INFO] [stderr] Checking serde_bytes v0.11.15 [INFO] [stderr] Checking rmp-serde v1.3.0 [INFO] [stderr] Checking bincode v2.0.0-rc.3 [INFO] [stderr] Checking burn-common v0.14.0 (https://github.com/tracel-ai/burn#4c735323) [INFO] [stderr] Checking gemm-common v0.17.1 [INFO] [stderr] Checking burn-tensor v0.14.0 (https://github.com/tracel-ai/burn#4c735323) [INFO] [stderr] Checking indexmap v2.2.6 [INFO] [stderr] Checking safetensors v0.4.3 [INFO] [stderr] Checking gemm-f32 v0.17.1 [INFO] [stderr] Checking gemm-f64 v0.17.1 [INFO] [stderr] Checking gemm-c64 v0.17.1 [INFO] [stderr] Checking gemm-c32 v0.17.1 [INFO] [stderr] Checking gemm-f16 v0.17.1 [INFO] [stderr] Compiling toml_edit v0.21.1 [INFO] [stderr] Compiling protobuf-parse v3.5.0 [INFO] [stderr] Checking gemm v0.17.1 [INFO] [stderr] Compiling protobuf-codegen v3.5.0 [INFO] [stderr] Checking burn-autodiff v0.14.0 (https://github.com/tracel-ai/burn#4c735323) [INFO] [stderr] Compiling proc-macro-crate v3.1.0 [INFO] [stderr] Compiling num_enum_derive v0.7.2 [INFO] [stderr] Checking burn-core v0.14.0 (https://github.com/tracel-ai/burn#4c735323) [INFO] [stderr] Compiling num_enum v0.7.2 [INFO] [stderr] Checking candle-core v0.6.0 [INFO] [stderr] Compiling onnx-ir v0.14.0 (https://github.com/tracel-ai/burn#4c735323) [INFO] [stderr] Checking burn v0.14.0 (https://github.com/tracel-ai/burn#4c735323) [INFO] [stderr] Checking burn-import v0.14.0 (https://github.com/tracel-ai/burn#4c735323) [INFO] [stderr] Compiling face-onnx v0.1.0 (/opt/rustwide/workdir) [INFO] [stderr] error: failed to run custom build command for `face-onnx v0.1.0 (/opt/rustwide/workdir)` [INFO] [stderr] note: To improve backtraces for build dependencies, set the CARGO_PROFILE_DEV_BUILD_OVERRIDE_DEBUG=true environment variable to enable debug information generation. [INFO] [stderr] [INFO] [stderr] Caused by: [INFO] [stderr] process didn't exit successfully: `/opt/rustwide/target/debug/build/face-onnx-5a5f6189b3cb8062/build-script-build` (exit status: 101) [INFO] [stderr] --- stdout [INFO] [stderr] INFO burn_import::onnx::to_burn: Starting to convert ONNX to Burn [INFO] [stderr] DEBUG burn_import::onnx::to_burn: Output directory: "/opt/rustwide/target/debug/build/face-onnx-4233081e56ffdbf6/out/model/" [INFO] [stderr] INFO burn_import::onnx::to_burn: Converting "src/model/face-detector.onnx" [INFO] [stderr] DEBUG burn_import::onnx::to_burn: Input file name: "face-detector" [INFO] [stderr] DEBUG burn_import::onnx::to_burn: Output file: "/opt/rustwide/target/debug/build/face-onnx-4233081e56ffdbf6/out/model/face-detector" [INFO] [stderr] INFO burn_import::onnx::to_burn: Generating model from "src/model/face-detector.onnx" [INFO] [stderr] DEBUG burn_import::onnx::to_burn: Development mode: false [INFO] [stderr] DEBUG burn_import::onnx::to_burn: Output file: "/opt/rustwide/target/debug/build/face-onnx-4233081e56ffdbf6/out/model/face-detector" [INFO] [stderr] INFO onnx_ir::from_onnx: Parsing ONNX file: src/model/face-detector.onnx [INFO] [stderr] DEBUG onnx_ir::from_onnx: Number of nodes: 130 [INFO] [stderr] DEBUG onnx_ir::from_onnx: Number of inputs: 1 [INFO] [stderr] DEBUG onnx_ir::from_onnx: Number of initializers: 106 [INFO] [stderr] DEBUG onnx_ir::from_onnx: Number of outputs: 2 [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d1 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_0", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([16, 3, 3, 3]) }), value: Some(Float32s([-0.0046816375, 0.0037100762, 0.023904493, -0.0004699939, -0.01531022, -0.013523362, 0.034382608, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_1", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([16]) }), value: Some(Float32s([0.39319903, 0.30973753, -0.1909955, -0.14190373, -0.10866946, 0.4093141, 0.48229116, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d2 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_4", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([16, 1, 3, 3]) }), value: Some(Float32s([-0.30013832, 6.98573, -0.49626392, -1.9795854, 2.0315454, 0.3517552, -4.4833627, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_5", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([16]) }), value: Some(Float32s([0.026070148, 0.02246912, -0.12670957, -0.19599614, 0.40933692, 0.19575435, 0.70033294, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d2" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu2" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d3 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_8", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([32, 16, 1, 1]) }), value: Some(Float32s([0.114494175, -0.11332053, 0.0047413646, 0.25803167, 0.008366833, 0.0116659915, 0.3923049, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_9", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([32]) }), value: Some(Float32s([-0.20749053, 0.29736608, 0.20754182, 0.0652415, 0.4003005, 0.75521266, 0.47638664, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d3" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu3" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d4 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_12", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([32, 1, 3, 3]) }), value: Some(Float32s([0.12468428, 0.21239297, 0.07222938, 0.29211652, 0.5778341, 0.20419462, 0.15687574, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_13", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([32]) }), value: Some(Float32s([0.0109912455, 0.066277586, -0.01285857, 0.7777793, 1.3464108, 1.1020682, -0.3374251, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d4" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu4" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d5 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_16", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([32, 32, 1, 1]) }), value: Some(Float32s([0.055335205, 0.039861094, 0.18336084, -0.01696152, 0.18124454, 0.07674891, 0.029727692, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_17", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([32]) }), value: Some(Float32s([-0.117057845, 0.24364549, 0.25219172, 0.053089306, 0.21933246, 0.3002128, 0.14416382, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d5" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu5" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d6 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_20", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([32, 1, 3, 3]) }), value: Some(Float32s([-0.09726229, -0.36569396, 0.046421252, -0.13405423, -1.0416728, -0.22500649, 0.60354555, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_21", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([32]) }), value: Some(Float32s([-0.08559646, 0.19299217, -0.35628182, -0.007852256, 0.19761142, -0.18397214, 0.75858676, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d6" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu6" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d7 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_24", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([32, 32, 1, 1]) }), value: Some(Float32s([0.010921801, -0.016059875, -0.08509277, 0.010246834, 0.0045302226, -0.07809785, -0.05509446, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_25", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([32]) }), value: Some(Float32s([0.18827897, -0.03923893, -0.028096676, 0.17962068, -0.09864566, 0.31970602, 0.36291027, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d7" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu7" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d8 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_28", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([32, 1, 3, 3]) }), value: Some(Float32s([-0.13186722, -0.10403047, 0.1593331, -0.39196968, -1.1967946, -0.77360195, -0.25132558, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_29", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([32]) }), value: Some(Float32s([1.4769163, 0.013167635, -0.12830527, -0.0054893196, 1.1678902, -0.073500544, 0.003325671, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d8" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu8" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d9 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_32", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 32, 1, 1]) }), value: Some(Float32s([-0.020543685, 0.054670226, -0.026222805, 0.07659638, -0.019414397, 0.1167018, -0.06183657, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_33", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([0.25650755, 0.18871605, -0.1335854, 0.28525153, 0.11775468, -0.041228935, 0.04872626, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d9" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu9" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d10 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_36", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 1, 3, 3]) }), value: Some(Float32s([-0.7970413, 0.07560871, 0.17950699, -1.4641012, 0.8809593, -0.08344409, -0.311996, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_37", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([0.6521921, -1.3398457, 0.036188595, 0.058700636, 0.26885986, 0.69880193, 0.41905165, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d10" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu10" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d11 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_40", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 64, 1, 1]) }), value: Some(Float32s([0.12942068, -0.2986463, -0.05324592, -0.064916916, -0.18801573, 0.08755206, 0.015073679, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_41", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([0.43155593, 0.09506052, 0.15070489, -0.29121706, -0.14361402, 0.052152097, -0.14051542, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d11" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu11" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d12 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_44", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 1, 3, 3]) }), value: Some(Float32s([-0.19933607, -0.534907, -0.4394317, -0.24825296, -0.5680697, -0.41251177, -0.33295098, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_45", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([0.6886846, -0.19868422, 0.40436932, -0.12845407, 0.06326213, 0.68907565, 0.1863802, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d12" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu12" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d13 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_48", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 64, 1, 1]) }), value: Some(Float32s([-0.33390486, -0.11534085, 0.013242468, 0.021097714, -0.07371189, 0.08005096, -0.034750078, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_49", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([-0.22018614, -0.39130393, 0.56577027, -0.12482523, 0.43723875, 0.67949504, -0.5071657, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d13" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu13" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d14 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_52", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([8, 64, 1, 1]) }), value: Some(Float32s([0.5618782, -0.057939943, -0.20175837, 0.7520602, -0.2732628, -0.33623567, 0.16876332, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_53", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([8]) }), value: Some(Float32s([0.35531628, 0.099490255, -0.3357148, -0.042482343, 0.124918826, -0.7634087, -0.19804868, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d14" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d15 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_55", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([16, 8, 3, 3]) }), value: Some(Float32s([-0.08481602, 0.23619443, -0.025281332, -0.07639612, -0.038641576, 0.16484186, 0.018825144, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_56", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([16]) }), value: Some(Float32s([0.09476404, -0.089514144, -0.19794808, 0.15129447, -0.17968175, -0.1310494, 0.2619497, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d15" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu14" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d16 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_59", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([16, 16, 3, 3]) }), value: Some(Float32s([0.07305031, 0.13084288, -0.060059786, 0.10047176, 0.43354946, -0.10389174, -0.068342745, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_60", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([16]) }), value: Some(Float32s([-0.33498868, 0.22356673, 0.10959743, -0.2360032, -0.20279525, -0.18272345, 0.1334958, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d16" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d17 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_62", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([8, 64, 1, 1]) }), value: Some(Float32s([0.018959852, 0.2393326, 0.046775147, 0.1639624, 0.14365181, 0.118847005, -0.62284416, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_63", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([8]) }), value: Some(Float32s([-0.4235446, -0.12190291, -0.33570153, 0.025205448, 0.0860704, -0.07814138, 0.3587909, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d17" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d18 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_65", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([16, 8, 3, 3]) }), value: Some(Float32s([-0.097530246, -0.080137216, -0.0014735671, -0.08649063, 0.061631273, 0.15243265, 0.019033168, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_66", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([16]) }), value: Some(Float32s([-0.069076896, -0.33275253, 0.024687, -0.3699867, -0.042519696, 0.1278486, -0.04641051, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d18" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu15" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d19 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_69", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([16, 16, 3, 3]) }), value: Some(Float32s([0.18792601, -0.024695095, -0.118796706, 0.029743686, -0.09625354, 0.27550772, -0.011984744, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_70", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([16]) }), value: Some(Float32s([-0.25929514, 0.67594945, 0.054196663, 0.12707622, 0.012098536, -0.031332444, -0.29063025, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d19" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d20 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_72", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([8, 64, 1, 1]) }), value: Some(Float32s([0.24594009, 0.006994391, 0.027463712, 0.17443082, 0.3381826, -0.3835073, 0.46697852, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_73", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([8]) }), value: Some(Float32s([0.0153902285, -0.123697266, 0.27896345, -0.24179226, -0.4820963, -0.12255643, 0.020250618, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d20" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d21 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_75", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([12, 8, 3, 3]) }), value: Some(Float32s([0.04418374, -0.053019416, -0.09947456, 0.007109335, -0.08110235, -0.032214466, -0.18174277, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_76", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([12]) }), value: Some(Float32s([0.24301416, -0.51621807, 0.10571067, -0.15966447, -0.5141928, 0.12330447, 0.135798, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d21" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu16" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d22 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_79", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([16, 12, 3, 3]) }), value: Some(Float32s([0.13571471, 0.08011672, 0.10125352, 0.06095415, 0.00041221277, 0.04423878, 0.047781125, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_80", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([16]) }), value: Some(Float32s([0.120153844, 0.4710166, -0.16448694, 0.79812217, 0.88459766, 0.41121256, 0.10425281, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d22" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu17" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d23 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_83", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([16, 16, 3, 3]) }), value: Some(Float32s([0.0037163226, -0.104712486, 0.06314485, 0.0148166325, 0.09629527, 0.050248712, -0.0048141573, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_84", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([16]) }), value: Some(Float32s([-0.57075244, 0.05621112, -0.21970133, -0.06561244, -0.27864665, 0.07972291, 0.0096955905, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d23" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Concat" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "concat1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d24 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_87", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 48, 1, 1]) }), value: Some(Float32s([-0.038251214, -0.048372284, -0.023566373, -0.07027889, 0.20699447, -0.12368258, 0.00199575, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_88", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([0.07065611, 0.09707184, 0.1382816, 0.15003318, 0.01918091, 0.19897306, -0.000612053, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d24" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d25 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_90", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 64, 1, 1]) }), value: Some(Float32s([0.20496118, -0.064874455, -0.108906195, 0.1626285, -0.025207058, -0.1315432, 0.1203394, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_91", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([-0.10394433, -0.019308485, 0.8399609, 0.48021626, -0.009509316, 0.9566655, 0.13723236, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d25" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Add" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "add1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu18" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d26 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.0.0.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 1, 3, 3]) }), value: Some(Float32s([-0.01025715, 0.015996613, -0.016554229, -0.005061418, -0.019161483, -0.000113581315, 0.00065972307, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.0.0.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([-0.013149986, -0.00019665602, 0.0034569209, -0.027634174, -0.07581406, 0.007932662, -0.0035878795, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d26" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu19" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d27 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.0.2.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([6, 64, 1, 1]) }), value: Some(Float32s([-0.005991154, 0.005274316, -0.00037147125, 0.0037149524, 0.006900921, -0.0014813587, -0.0006420387, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.0.2.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([6]) }), value: Some(Float32s([0.7764791, -0.7792345, 0.645948, -0.63789797, 0.6028814, -0.5938492])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d27" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Transpose" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "transpose1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Reshape" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node reshape1 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_99", ty: Tensor(TensorType { elem_type: Int64, dim: 1, shape: Some([3]) }), value: Some(Int64s([1, -1, 2])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "reshape1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d28 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.0.0.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 1, 3, 3]) }), value: Some(Float32s([0.0015232007, 0.0019746495, 0.008068376, -0.0022476676, -0.011293188, -0.019577162, -0.006618115, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.0.0.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([-0.020093383, -0.2616601, 0.5081786, -0.0008830613, 0.48623353, -0.08143947, -0.008313784, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d28" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu20" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d29 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.0.2.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([12, 64, 1, 1]) }), value: Some(Float32s([-0.0028237908, 0.0053477166, 0.06984417, 0.03354813, 0.012543881, 0.06872391, 0.007055067, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.0.2.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([12]) }), value: Some(Float32s([0.13596259, 0.03269439, -0.07578674, 0.31791735, 0.1362086, 0.016552314, -0.30403143, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d29" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Transpose" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "transpose2" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Reshape" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node reshape2 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_105", ty: Tensor(TensorType { elem_type: Int64, dim: 1, shape: Some([3]) }), value: Some(Int64s([1, -1, 4])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "reshape2" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d30 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_107", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 1, 3, 3]) }), value: Some(Float32s([-0.013316384, -0.23722608, -0.038841303, -0.18505569, -0.17947349, -0.2601983, -0.12959306, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_108", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([0.52407324, -0.031957686, -0.2643455, 0.3944306, -0.008260503, 0.3966354, -0.3552045, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d30" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu21" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d31 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_111", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([128, 64, 1, 1]) }), value: Some(Float32s([0.028873568, -0.13427335, 0.08457778, 0.029610416, -0.10670179, -0.0031067214, 0.04658179, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_112", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([128]) }), value: Some(Float32s([0.033543304, 0.03824307, 0.12117611, 0.14687875, -0.05830241, 0.062329024, 0.04060346, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d31" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu22" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d32 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_115", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([128, 1, 3, 3]) }), value: Some(Float32s([-0.5975055, -0.35945186, 1.0748065, -0.24957453, -0.8734575, 0.9724692, -0.42373183, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_116", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([128]) }), value: Some(Float32s([-0.016780853, -0.050022837, 0.07208909, -0.00078964606, -0.020436984, -0.18874095, 0.0013314178, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d32" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu23" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d33 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_119", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([128, 128, 1, 1]) }), value: Some(Float32s([-0.047893696, -0.025513275, -0.09809259, 0.004759317, -0.0680056, -0.07288319, -0.09475456, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_120", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([128]) }), value: Some(Float32s([0.18396492, 0.07673555, -0.049262878, 0.017256394, -0.100117475, 0.10607764, -0.12680565, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d33" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu24" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d34 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_123", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([128, 1, 3, 3]) }), value: Some(Float32s([-0.48102665, -0.24468504, -0.40546688, -0.17270045, -1.2415113, -0.23943608, 0.62505364, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_124", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([128]) }), value: Some(Float32s([-0.052079998, -0.052875087, -0.0959206, -0.06007676, 0.26033956, 0.2537266, -0.036464468, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d34" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu25" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d35 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_127", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([128, 128, 1, 1]) }), value: Some(Float32s([-0.08853639, 0.08358289, 0.36404404, -1.0654806, -0.04530671, -0.79883885, 0.27451426, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_128", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([128]) }), value: Some(Float32s([1.4633244, -0.044254847, -0.16121298, -0.05800706, 0.73781127, -0.05728308, -0.14566964, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d35" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu26" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d36 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.1.0.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([128, 1, 3, 3]) }), value: Some(Float32s([0.0066734296, -0.00012258292, -0.0030683875, 0.0018771626, -0.011279967, 0.028430635, -0.0076613906, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.1.0.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([128]) }), value: Some(Float32s([-0.027901828, -0.08556331, -0.41501585, -0.4798651, -0.02810406, 0.017543837, -0.01185024, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d36" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu27" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d37 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.1.2.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([4, 128, 1, 1]) }), value: Some(Float32s([-0.022158585, -0.049403045, -0.024131628, -0.6433997, -0.023364505, 0.012478678, 0.013699513, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.1.2.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([4]) }), value: Some(Float32s([0.6803238, -0.672931, 0.5487657, -0.538894])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d37" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Transpose" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "transpose3" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Reshape" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node reshape3 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_99", ty: Tensor(TensorType { elem_type: Int64, dim: 1, shape: Some([3]) }), value: Some(Int64s([1, -1, 2])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "reshape3" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d38 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.1.0.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([128, 1, 3, 3]) }), value: Some(Float32s([0.049015645, 0.13665842, -0.13740773, 0.11383063, 0.49699762, -0.31239972, 0.030866917, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.1.0.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([128]) }), value: Some(Float32s([0.23414096, 0.040760566, 0.012409901, 0.0025654617, 0.006458314, 0.0027543574, 0.07299388, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d38" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu28" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d39 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.1.2.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([8, 128, 1, 1]) }), value: Some(Float32s([-0.5668843, 0.0022292158, 0.010290541, 0.033338223, -0.013560327, -0.0032826862, -0.025681395, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.1.2.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([8]) }), value: Some(Float32s([-0.040481746, -0.018237466, -0.12641366, 0.16207127, -0.026242858, -0.022424763, -0.2591362, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d39" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Transpose" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "transpose4" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Reshape" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node reshape4 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_105", ty: Tensor(TensorType { elem_type: Int64, dim: 1, shape: Some([3]) }), value: Some(Int64s([1, -1, 4])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "reshape4" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d40 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_141", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([128, 1, 3, 3]) }), value: Some(Float32s([0.019104052, 0.0011092144, 0.043327812, 0.011980439, 0.043835245, 0.054752145, 0.02884773, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_142", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([128]) }), value: Some(Float32s([-0.18087325, 0.24787468, 0.054747738, -0.009113949, -0.0706411, -0.01598215, -0.02513809, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d40" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu29" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d41 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_145", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([256, 128, 1, 1]) }), value: Some(Float32s([0.038790427, 0.008357933, -0.008436706, 0.02932388, -0.06441668, -0.023971014, 0.008340535, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_146", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([256]) }), value: Some(Float32s([0.049874783, 0.04491932, 0.036247738, 0.113184825, -0.1327438, 0.04078342, 0.14314042, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d41" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu30" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d42 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_149", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([256, 1, 3, 3]) }), value: Some(Float32s([1.1334479, 0.69993603, 0.24143279, 0.74973845, 0.46587867, -0.23894902, -0.5898868, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_150", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([256]) }), value: Some(Float32s([-0.028399808, -0.06522262, -0.08838756, 0.010724243, -0.05631937, 0.011600181, -0.043756336, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d42" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu31" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d43 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_153", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([256, 256, 1, 1]) }), value: Some(Float32s([-0.0007175145, 0.0903, -0.14318578, 0.04962893, 0.79162556, 0.058309086, 0.088265106, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_154", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([256]) }), value: Some(Float32s([-0.040025346, 0.0762694, 0.18768762, 1.1505339, 0.8397978, 1.9119526, 1.980028, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d43" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu32" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d44 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.2.0.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([256, 1, 3, 3]) }), value: Some(Float32s([0.0073346733, 0.034314375, 0.001955262, -0.0057820585, 0.02108113, 0.029896611, 0.016220016, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.2.0.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([256]) }), value: Some(Float32s([0.0998405, -0.37093067, -0.01404844, 0.025671965, -0.0064764707, 0.020085432, 0.018793132, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d44" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu33" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d45 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.2.2.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([4, 256, 1, 1]) }), value: Some(Float32s([0.05912198, -0.58355284, -0.0031702889, 0.009435855, 0.002077761, 0.009090104, 0.01142609, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.2.2.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([4]) }), value: Some(Float32s([0.45501903, -0.4583856, 0.35835972, -0.35536227])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d45" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Transpose" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "transpose5" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Reshape" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node reshape5 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_99", ty: Tensor(TensorType { elem_type: Int64, dim: 1, shape: Some([3]) }), value: Some(Int64s([1, -1, 2])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "reshape5" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d46 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.2.0.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([256, 1, 3, 3]) }), value: Some(Float32s([0.017490275, -0.017992282, -0.007821577, -0.01845256, -0.0031554082, -0.012843653, 0.014872663, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.2.0.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([256]) }), value: Some(Float32s([-0.006881654, -0.020189205, -0.010638675, 0.11244912, 0.018323204, -0.0045878, 0.02142951, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d46" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu34" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d47 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.2.2.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([8, 256, 1, 1]) }), value: Some(Float32s([-0.0011128911, 0.005163677, 0.0046578227, -0.18531348, 0.032219287, -0.18006042, -0.032101758, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.2.2.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([8]) }), value: Some(Float32s([0.012600885, 0.0004799096, -0.107775524, 0.021871028, -0.0022120597, 0.021625064, -0.15088749, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d47" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Transpose" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "transpose6" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Reshape" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node reshape6 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_105", ty: Tensor(TensorType { elem_type: Int64, dim: 1, shape: Some([3]) }), value: Some(Int64s([1, -1, 4])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "reshape6" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d48 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "extras.0.0.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 256, 1, 1]) }), value: Some(Float32s([0.0017348176, 0.0012927749, 0.0010836162, -0.00031881395, 0.004087091, 0.0014259343, -0.0010843753, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "extras.0.0.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([0.0028839258, -0.08533108, -0.0042855847, 0.003784998, -0.00022573837, -0.00034673978, 0.038877074, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d48" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu35" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d49 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "extras.0.2.0.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([64, 1, 3, 3]) }), value: Some(Float32s([-0.014759585, -0.013814443, -0.008479122, -0.0035197306, -0.003180232, 0.01810187, 0.011976737, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "extras.0.2.0.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([64]) }), value: Some(Float32s([-0.0031586231, -0.24086298, 0.002079992, -0.013863704, 0.085378066, -0.011934479, 0.07647468, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d49" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu36" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d50 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "extras.0.2.2.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([256, 64, 1, 1]) }), value: Some(Float32s([-0.007572742, -0.022781525, 0.004873934, 0.0021339427, -0.0073843966, -0.0007443028, -0.005387562, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "extras.0.2.2.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([256]) }), value: Some(Float32s([-0.012698806, 0.037455063, 0.03497717, 0.005812215, 0.010948983, 0.0119620925, -0.022698369, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d50" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Relu" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "relu37" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d51 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.3.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([6, 256, 3, 3]) }), value: Some(Float32s([-0.00014143024, -0.004954906, -0.003932819, 0.000065435794, -0.017526519, -0.0102536725, 0.002984576, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "classification_headers.3.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([6]) }), value: Some(Float32s([0.29083085, -0.29228428, 0.21148151, -0.20964123, 0.27947077, -0.27885944])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d51" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Transpose" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "transpose7" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Reshape" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node reshape7 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_99", ty: Tensor(TensorType { elem_type: Int64, dim: 1, shape: Some([3]) }), value: Some(Int64s([1, -1, 2])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "reshape7" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Conv" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node conv2d52 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.3.weight", ty: Tensor(TensorType { elem_type: Float32, dim: 4, shape: Some([12, 256, 3, 3]) }), value: Some(Float32s([-0.0031305875, -0.0038615486, 0.0006989886, -0.0028425148, -0.011261936, 0.012117142, -0.0017247228, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "regression_headers.3.bias", ty: Tensor(TensorType { elem_type: Float32, dim: 1, shape: Some([12]) }), value: Some(Float32s([0.009898502, 0.018703489, -0.029278504, 0.001642188, 0.0004822217, 0.022198364, -0.034946237, ...])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "conv2d52" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Transpose" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "transpose8" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Reshape" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node reshape8 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking input Argument { name: "renamed_105", ty: Tensor(TensorType { elem_type: Int64, dim: 1, shape: Some([3]) }), value: Some(Int64s([1, -1, 4])), passed: false } for const [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "reshape8" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Concat" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "concat2" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Concat" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "concat3" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Softmax" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "softmax1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Slice" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node slice1 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "slice1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Constant" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "constant1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Mul" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "mul1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Constant" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "constant2" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Mul" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "mul2" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Constant" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "constant3" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Add" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "add2" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Slice" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node slice2 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "slice2" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Constant" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "constant4" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Mul" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "mul3" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Exp" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "exp1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Mul" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "mul4" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Concat" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "concat4" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Slice" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node slice3 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "slice3" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Slice" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: checking node slice4 for constants [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "slice4" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Constant" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "constant5" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Div" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "div1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Sub" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "sub1" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Add" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "add3" [INFO] [stderr] DEBUG onnx_ir::proto_conversion: Converting ONNX node with type "Concat" [INFO] [stderr] DEBUG onnx_ir::from_onnx: renaming node "" [INFO] [stderr] DEBUG onnx_ir::from_onnx: adding node "concat5" [INFO] [stderr] INFO onnx_ir::from_onnx: Finished parsing ONNX file: src/model/face-detector.onnx [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'concat' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'add' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'transpose' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'reshape' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'transpose' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'reshape' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'transpose' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'reshape' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'transpose' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'reshape' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'transpose' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'reshape' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'transpose' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'reshape' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'relu' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'transpose' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'reshape' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'conv2d' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'transpose' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'reshape' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'concat' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'concat' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'softmax' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'slice' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'constant' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'mul' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'constant' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'mul' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'constant' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'add' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'slice' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'constant' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'mul' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'exp' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'mul' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'concat' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'slice' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'slice' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'constant' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'div' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'sub' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'add' [INFO] [stderr] DEBUG burn_import::burn::graph: Registering node => 'concat' [INFO] [stderr] DEBUG burn_import::burn::graph: Building the scope nodes len => '130' [INFO] [stderr] ERROR burn_import::logger: PANIC => panicked at /opt/rustwide/cargo-home/git/checkouts/burn-6c277d792b0d5d7a/4c73532/crates/burn-import/src/formatter.rs:8:31: [INFO] [stderr] Valid token tree: BadSourceCode("error: 'rustfmt' is not installed for the custom toolchain '733108b6d4acaa93fe26ae281ea305aacd6aac4e'.\nnote: this is a custom toolchain, which cannot use `rustup component add`\nhelp: if you built this toolchain from source, and used `rustup toolchain link`, then you may be able to build the component with `x.py`\n") [INFO] [stderr] [INFO] [stderr] --- stderr [INFO] [stderr] [INFO] [stderr] thread 'main' (3373) panicked at /opt/rustwide/cargo-home/git/checkouts/burn-6c277d792b0d5d7a/4c73532/crates/burn-import/src/formatter.rs:8:31: [INFO] [stderr] Valid token tree: BadSourceCode("error: 'rustfmt' is not installed for the custom toolchain '733108b6d4acaa93fe26ae281ea305aacd6aac4e'.\nnote: this is a custom toolchain, which cannot use `rustup component add`\nhelp: if you built this toolchain from source, and used `rustup toolchain link`, then you may be able to build the component with `x.py`\n") [INFO] [stderr] stack backtrace: [INFO] [stderr] 0: 0x595b1e4d41e2 - std::backtrace_rs::backtrace::libunwind::trace::h336fa6cbda11d7da [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/../../backtrace/src/backtrace/libunwind.rs:117:9 [INFO] [stderr] 1: 0x595b1e4d41e2 - std::backtrace_rs::backtrace::trace_unsynchronized::hdd3caca2f7bc912d [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/../../backtrace/src/backtrace/mod.rs:66:14 [INFO] [stderr] 2: 0x595b1e4d41e2 - std::sys::backtrace::_print_fmt::hd331b0c9511a99ae [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/sys/backtrace.rs:66:9 [INFO] [stderr] 3: 0x595b1e4d41e2 - ::fmt::h1994e61875dd2f2a [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/sys/backtrace.rs:39:26 [INFO] [stderr] 4: 0x595b1e4e7257 - core::fmt::rt::Argument::fmt::hb884d9236ffe22a5 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/core/src/fmt/rt.rs:152:76 [INFO] [stderr] 5: 0x595b1e4e7257 - core::fmt::write::h94ae3adc0037c305 [INFO] [stderr] 6: 0x595b1e4a8e86 - std::io::default_write_fmt::h338733cd46b32ee7 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/io/mod.rs:639:11 [INFO] [stderr] 7: 0x595b1e4a8e86 - std::io::Write::write_fmt::hf145160a44bf8905 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/io/mod.rs:1994:13 [INFO] [stderr] 8: 0x595b1e4b4fe4 - std::sys::backtrace::BacktraceLock::print::hc709f40974e386fc [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/sys/backtrace.rs:42:9 [INFO] [stderr] 9: 0x595b1e4b4fe4 - std::panicking::default_hook::{{closure}}::h97869b26213cfdd1 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panicking.rs:293:27 [INFO] [stderr] 10: 0x595b1e4b4e09 - std::panicking::default_hook::h12325a7204458032 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panicking.rs:320:9 [INFO] [stderr] 11: 0x595b1e1b2ad9 - as core::ops::function::Fn>::call::had10280b6155b609 [INFO] [stderr] 12: 0x595b1e0f5180 - burn_import::logger::update_panic_hook::{{closure}}::h8ce4c6b56aac252a [INFO] [stderr] 13: 0x595b1e4b55e2 - as core::ops::function::Fn>::call::he7b2fcdc3005e366 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/alloc/src/boxed.rs:2099:9 [INFO] [stderr] 14: 0x595b1e4b55e2 - std::panicking::panic_with_hook::h43cbe56cc59fc5e6 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panicking.rs:834:13 [INFO] [stderr] 15: 0x595b1e4b5378 - std::panicking::panic_handler::{{closure}}::h026d7e278a1a94d3 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panicking.rs:699:13 [INFO] [stderr] 16: 0x595b1e4b2bc9 - std::sys::backtrace::__rust_end_short_backtrace::h61696f1ef97ec08d [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/sys/backtrace.rs:174:18 [INFO] [stderr] 17: 0x595b1e49cfed - __rustc[9da61800b7c1d17]::rust_begin_unwind [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panicking.rs:690:5 [INFO] [stderr] 18: 0x595b1e4ef5ac - core::panicking::panic_fmt::h376ce795c5298f0d [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/core/src/panicking.rs:80:14 [INFO] [stderr] 19: 0x595b1e4ee9f2 - core::result::unwrap_failed::hc6310caa305990a4 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/core/src/result.rs:1867:5 [INFO] [stderr] 20: 0x595b1e07ef33 - core::result::Result::expect::h0015e4fd3e21b324 [INFO] [stderr] 21: 0x595b1e0a4758 - burn_import::formatter::format_tokens::h0291433d84c784c2 [INFO] [stderr] 22: 0x595b1e0d0771 - burn_import::onnx::to_burn::ModelGen::generate_model::h488bbb680ba5e9d9 [INFO] [stderr] 23: 0x595b1e0d1b11 - burn_import::onnx::to_burn::ModelGen::run::ha85eb4c296eea46a [INFO] [stderr] 24: 0x595b1e0d0c6b - burn_import::onnx::to_burn::ModelGen::run_from_script::hd7d0b8ed7dff5be3 [INFO] [stderr] 25: 0x595b1e066f33 - build_script_build::main::h28d7d0556d61639a [INFO] [stderr] 26: 0x595b1e066fd3 - core::ops::function::FnOnce::call_once::h37eaa50c19dc231e [INFO] [stderr] 27: 0x595b1e066fb6 - std::sys::backtrace::__rust_begin_short_backtrace::hffe36f6c7be51c50 [INFO] [stderr] 28: 0x595b1e066f99 - std::rt::lang_start::{{closure}}::h96d6411fe621f983 [INFO] [stderr] 29: 0x595b1e4aa56a - core::ops::function::impls:: for &F>::call_once::h17171ace6974aa8f [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/core/src/ops/function.rs:287:21 [INFO] [stderr] 30: 0x595b1e4aa56a - std::panicking::catch_unwind::do_call::h7f6df566c2bad775 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panicking.rs:582:40 [INFO] [stderr] 31: 0x595b1e4aa56a - std::panicking::catch_unwind::hb99c8ff3052425d2 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panicking.rs:545:19 [INFO] [stderr] 32: 0x595b1e4aa56a - std::panic::catch_unwind::h227a70d8d07d79e6 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panic.rs:359:14 [INFO] [stderr] 33: 0x595b1e4aa56a - std::rt::lang_start_internal::{{closure}}::hb92f0c824b843011 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/rt.rs:175:24 [INFO] [stderr] 34: 0x595b1e4aa56a - std::panicking::catch_unwind::do_call::h837acadf86977c09 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panicking.rs:582:40 [INFO] [stderr] 35: 0x595b1e4aa56a - std::panicking::catch_unwind::hfffc6b58fde015bc [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panicking.rs:545:19 [INFO] [stderr] 36: 0x595b1e4aa56a - std::panic::catch_unwind::he0f0d9ab4801dcd5 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/panic.rs:359:14 [INFO] [stderr] 37: 0x595b1e4aa56a - std::rt::lang_start_internal::h6df14bee4fb30353 [INFO] [stderr] at /rustc/733108b6d4acaa93fe26ae281ea305aacd6aac4e/library/std/src/rt.rs:171:5 [INFO] [stderr] 38: 0x595b1e066f81 - std::rt::lang_start::h019b3618384a5291 [INFO] [stderr] 39: 0x595b1e0670a5 - main [INFO] [stderr] 40: 0x7592c779f1ca - [INFO] [stderr] 41: 0x7592c779f28b - __libc_start_main [INFO] [stderr] 42: 0x595b1e066de5 - _start [INFO] [stderr] 43: 0x0 - [INFO] running `Command { std: "docker" "inspect" "d652f2ad58f092ce062734af2a97c3231673d2b87679115b49294c513ec40293", kill_on_drop: false }` [INFO] running `Command { std: "docker" "rm" "-f" "d652f2ad58f092ce062734af2a97c3231673d2b87679115b49294c513ec40293", kill_on_drop: false }` [INFO] [stdout] d652f2ad58f092ce062734af2a97c3231673d2b87679115b49294c513ec40293