[INFO] fetching crate torsh-backend 0.1.2...
[INFO] checking torsh-backend-0.1.2 against try#21cad1f647cfd05a566220f933edd88a53e50bcf for pr-129249-1
[INFO] extracting crate torsh-backend 0.1.2 into /workspace/builds/worker-3-tc2/source
[INFO] started tweaking crates.io crate torsh-backend 0.1.2
[INFO] removed 0 missing tests
[INFO] finished tweaking crates.io crate torsh-backend 0.1.2
[INFO] tweaked toml for crates.io crate torsh-backend 0.1.2 written to /workspace/builds/worker-3-tc2/source/Cargo.toml
[INFO] validating manifest of crates.io crate torsh-backend 0.1.2 on toolchain 21cad1f647cfd05a566220f933edd88a53e50bcf
[INFO] running `Command { std: CARGO_HOME="/workspace/cargo-home" RUSTUP_HOME="/workspace/rustup-home" "/workspace/cargo-home/bin/cargo" "+21cad1f647cfd05a566220f933edd88a53e50bcf" "metadata" "--manifest-path" "Cargo.toml" "--no-deps", kill_on_drop: false }`
[INFO] crate crates.io crate torsh-backend 0.1.2 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" "+21cad1f647cfd05a566220f933edd88a53e50bcf" "fetch" "--manifest-path" "Cargo.toml", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "create" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/source:/opt/rustwide/workdir:ro,Z" "-v" "/var/lib/crater-agent-workspace/builds/worker-3-tc2/target:/opt/rustwide/target:rw,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" "-m" "1610612736" "--network" "none" "ghcr.io/rust-lang/crates-build-env/linux@sha256:3e793bdf10248eb2ddbd6b0faebed8155c11b4589982e2893733958d93e8d540" "sleep" "infinity", kill_on_drop: false }`
[INFO] [stdout] edfb5f27c16d3f1091ad8a1ef4749898fc10aa91197b18d278b87bed3d9843e3
[INFO] running `Command { std: "docker" "start" "edfb5f27c16d3f1091ad8a1ef4749898fc10aa91197b18d278b87bed3d9843e3", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "exec" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-e" "CARGO_TARGET_DIR=/opt/rustwide/target" "-w" "/opt/rustwide/workdir" "--user" "0:0" "edfb5f27c16d3f1091ad8a1ef4749898fc10aa91197b18d278b87bed3d9843e3" "/opt/rustwide/cargo-home/bin/cargo" "+21cad1f647cfd05a566220f933edd88a53e50bcf" "metadata" "--no-deps" "--format-version=1", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "inspect" "edfb5f27c16d3f1091ad8a1ef4749898fc10aa91197b18d278b87bed3d9843e3", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "exec" "-e" "SOURCE_DIR=/opt/rustwide/workdir" "-e" "CARGO_HOME=/opt/rustwide/cargo-home" "-e" "RUSTUP_HOME=/opt/rustwide/rustup-home" "-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" "-w" "/opt/rustwide/workdir" "--user" "0:0" "edfb5f27c16d3f1091ad8a1ef4749898fc10aa91197b18d278b87bed3d9843e3" "/opt/rustwide/cargo-home/bin/cargo" "+21cad1f647cfd05a566220f933edd88a53e50bcf" "check" "--frozen" "--all" "--all-targets" "--message-format=json", kill_on_drop: false }`
[INFO] [stderr]    Compiling matrixmultiply v0.3.10
[INFO] [stderr]    Compiling cc v1.2.61
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[INFO] [stderr]    Compiling torsh-backend v0.1.2 (/opt/rustwide/workdir)
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[INFO] [stderr]     Checking torsh-core v0.1.2
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:295:28
[INFO] [stdout]     |
[INFO] [stdout] 295 |                   return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ____________________________^
[INFO] [stdout] 296 | |                     "Channel-wise quantization requires non-empty scale and zero_point vectors",
[INFO] [stdout] 297 | |                     "validate",
[INFO] [stdout] 298 | |                 )
[INFO] [stdout] 299 | |                 .into());
[INFO] [stdout]     | |_______________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout]     = note: `#[deny(self_type_conversion)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:302:28
[INFO] [stdout]     |
[INFO] [stdout] 302 |                   return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ____________________________^
[INFO] [stdout] 303 | |                     "Scale and zero_point vectors must have the same length for channel-wise quantization",
[INFO] [stdout] 304 | |                     "validate"
[INFO] [stdout] 305 | |                 ).into());
[INFO] [stdout]     | |________________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:309:28
[INFO] [stdout]     |
[INFO] [stdout] 309 |                   return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ____________________________^
[INFO] [stdout] 310 | |                     "Non-channel-wise quantization requires exactly one scale and zero_point value",
[INFO] [stdout] 311 | |                     "validate",
[INFO] [stdout] 312 | |                 )
[INFO] [stdout] 313 | |                 .into());
[INFO] [stdout]     | |_______________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:319:24
[INFO] [stdout]     |
[INFO] [stdout] 319 |               return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ________________________^
[INFO] [stdout] 320 | |                 "Block-wise quantization requires a block_size",
[INFO] [stdout] 321 | |                 "validate",
[INFO] [stdout] 322 | |             )
[INFO] [stdout] 323 | |             .into());
[INFO] [stdout]     | |___________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:329:28
[INFO] [stdout]     |
[INFO] [stdout] 329 |                   return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ____________________________^
[INFO] [stdout] 330 | |                     "Scale values must be positive and finite",
[INFO] [stdout] 331 | |                     "validate",
[INFO] [stdout] 332 | |                 )
[INFO] [stdout] 333 | |                 .into());
[INFO] [stdout]     | |_______________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:460:24
[INFO] [stdout]     |
[INFO] [stdout] 460 |               return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ________________________^
[INFO] [stdout] 461 | |                 &format!(
[INFO] [stdout] 462 | |                     "Data size mismatch: expected {} bytes, got {}",
[INFO] [stdout] 463 | |                     expected_size,
[INFO] [stdout] ...   |
[INFO] [stdout] 468 | |             .into());
[INFO] [stdout]     | |___________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr] error: could not compile `torsh-backend` (lib) due to 6 previous errors
[INFO] [stderr] warning: build failed, waiting for other jobs to finish...
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:295:28
[INFO] [stdout]     |
[INFO] [stdout] 295 |                   return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ____________________________^
[INFO] [stdout] 296 | |                     "Channel-wise quantization requires non-empty scale and zero_point vectors",
[INFO] [stdout] 297 | |                     "validate",
[INFO] [stdout] 298 | |                 )
[INFO] [stdout] 299 | |                 .into());
[INFO] [stdout]     | |_______________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout]     = note: `#[deny(self_type_conversion)]` on by default
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:302:28
[INFO] [stdout]     |
[INFO] [stdout] 302 |                   return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ____________________________^
[INFO] [stdout] 303 | |                     "Scale and zero_point vectors must have the same length for channel-wise quantization",
[INFO] [stdout] 304 | |                     "validate"
[INFO] [stdout] 305 | |                 ).into());
[INFO] [stdout]     | |________________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:309:28
[INFO] [stdout]     |
[INFO] [stdout] 309 |                   return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ____________________________^
[INFO] [stdout] 310 | |                     "Non-channel-wise quantization requires exactly one scale and zero_point value",
[INFO] [stdout] 311 | |                     "validate",
[INFO] [stdout] 312 | |                 )
[INFO] [stdout] 313 | |                 .into());
[INFO] [stdout]     | |_______________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:319:24
[INFO] [stdout]     |
[INFO] [stdout] 319 |               return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ________________________^
[INFO] [stdout] 320 | |                 "Block-wise quantization requires a block_size",
[INFO] [stdout] 321 | |                 "validate",
[INFO] [stdout] 322 | |             )
[INFO] [stdout] 323 | |             .into());
[INFO] [stdout]     | |___________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:329:28
[INFO] [stdout]     |
[INFO] [stdout] 329 |                   return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ____________________________^
[INFO] [stdout] 330 | |                     "Scale values must be positive and finite",
[INFO] [stdout] 331 | |                     "validate",
[INFO] [stdout] 332 | |                 )
[INFO] [stdout] 333 | |                 .into());
[INFO] [stdout]     | |_______________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stdout] error: useless conversion to the same type: `torsh_core::TorshError`
[INFO] [stdout]    --> src/quantization/core.rs:460:24
[INFO] [stdout]     |
[INFO] [stdout] 460 |               return Err(TorshError::dimension_error(
[INFO] [stdout]     |  ________________________^
[INFO] [stdout] 461 | |                 &format!(
[INFO] [stdout] 462 | |                     "Data size mismatch: expected {} bytes, got {}",
[INFO] [stdout] 463 | |                     expected_size,
[INFO] [stdout] ...   |
[INFO] [stdout] 468 | |             .into());
[INFO] [stdout]     | |___________________^
[INFO] [stdout]     |
[INFO] [stdout]     = note: this method call relies on the `impl<T> Into<T> for T` blanket implementation and type inference, which is a semver hazard as a new `impl Into<_>` that affects your type might be added in the future causing type inference errors
[INFO] [stdout]     = note: you can instead use the fully-qualified path `<torsh_core::TorshError as Into<torsh_core::TorshError>::into(val) to avoid triggering this lint
[INFO] [stdout] 
[INFO] [stdout] 
[INFO] [stderr] error: could not compile `torsh-backend` (lib test) due to 6 previous errors
[INFO] running `Command { std: "docker" "inspect" "edfb5f27c16d3f1091ad8a1ef4749898fc10aa91197b18d278b87bed3d9843e3", kill_on_drop: false }`
[INFO] running `Command { std: "docker" "rm" "-f" "edfb5f27c16d3f1091ad8a1ef4749898fc10aa91197b18d278b87bed3d9843e3", kill_on_drop: false }`
[INFO] [stdout] edfb5f27c16d3f1091ad8a1ef4749898fc10aa91197b18d278b87bed3d9843e3
