Julia v1.2.0 Documentation
results. This corresponds to the -ffast-math op�on of clang. • Write @simd in front of for loops to promise that the itera�ons are independent and may be reordered. Note that in many cases, Julia can automa�cally JL_DLLEXPORT jl_value_t *jl_apply_array_type(jl_value_t *type, size_t dim) JL_ALWAYS_LEAFTYPE; JL_GC_PROMISE_ROOTED This is a func�on-like annota�on. Any value passed to this annota�on will be considered rooted happen to know for complicated external reasons // that val is rooted under these conditions JL_GC_PROMISE_ROOTED(val); } } Completeness of analysis The analyzer only looks at local informa�on. In par�cular0 码力 | 1250 页 | 4.29 MB | 1 年前3Julia v1.1.1 Documentation
results. This corresponds to the -ffast-math op�on of clang. • Write @simd in front of for loops to promise that the itera�ons are independent and may be reordered. Note that in many cases, Julia can automa�cally JL_DLLEXPORT jl_value_t *jl_apply_array_type(jl_value_t *type, size_t dim) JL_ALWAYS_LEAFTYPE; JL_GC_PROMISE_ROOTED This is a func�on-like annota�on. Any value passed to this annota�on will be considered rooted happen to know for complicated external reasons // that val is rooted under these conditions JL_GC_PROMISE_ROOTED(val); } } Completeness of analysis The analyzer only looks at local informa�on. In par�cular0 码力 | 1216 页 | 4.21 MB | 1 年前3Julia 1.1.0 Documentation
results. This corresponds to the -ffast-math op�on of clang. • Write @simd in front of for loops to promise that the itera�ons are independent and may be reordered. Note that in many cases, Julia can automa�cally JL_DLLEXPORT jl_value_t *jl_apply_array_type(jl_value_t *type, size_t dim) JL_ALWAYS_LEAFTYPE; JL_GC_PROMISE_ROOTED This is a func�on-like annota�on. Any value passed to this annota�on will be considered rooted happen to know for complicated external reasons // that val is rooted under these conditions JL_GC_PROMISE_ROOTED(val); } } Completeness of analysis The analyzer only looks at local informa�on. In par�cular0 码力 | 1214 页 | 4.21 MB | 1 年前3Julia 1.2.0 DEV Documentation
results. This corresponds to the -ffast-math op�on of clang. • Write @simd in front of for loops to promise that the itera�ons are independent and may be reordered. Note that in many cases, Julia can automa�cally JL_DLLEXPORT jl_value_t *jl_apply_array_type(jl_value_t *type, size_t dim) JL_ALWAYS_LEAFTYPE; JL_GC_PROMISE_ROOTED This is a func�on-like annota�on. Any value passed to this annota�on will be considered rooted happen to know for complicated external reasons // that val is rooted under these conditions JL_GC_PROMISE_ROOTED(val); } } Completeness of analysis The analyzer only looks at local informa�on. In par�cular0 码力 | 1252 页 | 4.28 MB | 1 年前3Julia v1.4.2 Documentation
results. This corresponds to the -ffast-math option of clang. • Write @simd in front of for loops to promise that the iterations are independent and may be reordered. Note that in many cases, Julia can automatically JL_DLLEXPORT jl_value_t *jl_apply_array_type(jl_value_t *type, size_t dim) JL_ALWAYS_LEAFTYPE; JL_GC_PROMISE_ROOTED This is a function-like annotation. Any value passed to this annotation will be considered happen to know for complicated external reasons // that val is rooted under these conditions JL_GC_PROMISE_ROOTED(val); } } Completeness of analysis The analyzer only looks at local information. In particular0 码力 | 1314 页 | 4.29 MB | 1 年前3Julia v1.3.1 Documentation
results. This corresponds to the -ffast-math op�on of clang. • Write @simd in front of for loops to promise that the itera�ons are independent and may be reordered. Note that in many cases, Julia can automa�cally JL_DLLEXPORT jl_value_t *jl_apply_array_type(jl_value_t *type, size_t dim) JL_ALWAYS_LEAFTYPE; JL_GC_PROMISE_ROOTED This is a func�on-like annota�on. Any value passed to this annota�on will be considered rooted happen to know for complicated external reasons // that val is rooted under these conditions JL_GC_PROMISE_ROOTED(val); } } Completeness of analysis The analyzer only looks at local informa�on. In par�cular0 码力 | 1276 页 | 4.36 MB | 1 年前3Julia v1.5.4 Documentation
results. This corresponds to the -ffast-math option of clang. • Write @simd in front of for loops to promise that the iterations are independent and may be reordered. Note that in many cases, Julia can automatically JL_DLLEXPORT jl_value_t *jl_apply_array_type(jl_value_t *type, size_t dim) JL_ALWAYS_LEAFTYPE; JL_GC_PROMISE_ROOTED This is a function-like annotation. Any value passed to this annotation will be considered happen to know for complicated external reasons // that val is rooted under these conditions JL_GC_PROMISE_ROOTED(val); } } Completeness of analysis The analyzer only looks at local information. In particular0 码力 | 1337 页 | 4.41 MB | 1 年前3Julia v1.6.6 Documentation
results. This corresponds to the -ffast-math option of clang. • Write @simd in front of for loops to promise that the iterations are independent and may be reordered. Note that in many cases, Julia can automatically JL_DLLEXPORT jl_value_t *jl_apply_array_type(jl_value_t *type, size_t dim) JL_ALWAYS_LEAFTYPE; JL_GC_PROMISE_ROOTED This is a function-like annotation. Any value passed to this annotation will be considered happen to know for complicated external reasons // that val is rooted under these conditions JL_GC_PROMISE_ROOTED(val); } } CHAPTER 98. DOCUMENTATION OF JULIA’S INTERNALS 1284 Completeness of analysis0 码力 | 1324 页 | 4.54 MB | 1 年前3Julia 1.6.5 Documentation
results. This corresponds to the -ffast-math option of clang. • Write @simd in front of for loops to promise that the iterations are independent and may be reordered. Note that in many cases, Julia can automatically JL_DLLEXPORT jl_value_t *jl_apply_array_type(jl_value_t *type, size_t dim) JL_ALWAYS_LEAFTYPE; JL_GC_PROMISE_ROOTED This is a function-like annotation. Any value passed to this annotation will be considered happen to know for complicated external reasons // that val is rooted under these conditions JL_GC_PROMISE_ROOTED(val); } } CHAPTER 98. DOCUMENTATION OF JULIA’S INTERNALS 1285 Completeness of analysis0 码力 | 1325 页 | 4.54 MB | 1 年前3Julia 1.6.7 Documentation
results. This corresponds to the -ffast-math option of clang. • Write @simd in front of for loops to promise that the iterations are independent and may be reordered. Note that in many cases, Julia can automatically JL_DLLEXPORT jl_value_t *jl_apply_array_type(jl_value_t *type, size_t dim) JL_ALWAYS_LEAFTYPE; JL_GC_PROMISE_ROOTED This is a function-like annotation. Any value passed to this annotation will be considered happen to know for complicated external reasons // that val is rooted under these conditions JL_GC_PROMISE_ROOTED(val); } } CHAPTER 97. DOCUMENTATION OF JULIA’S INTERNALS 1284 Completeness of analysis0 码力 | 1324 页 | 4.54 MB | 1 年前3
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