210d9e2334
core: Add more creator functions for ProxyType
2024-06-11 15:26:37 +08:00
520e1adc56
core/builtins: Add np_minimum/np_maximum
2024-05-09 15:01:20 +08:00
73e81259f3
core/builtins: Add np_min/np_max
2024-05-09 15:01:20 +08:00
30c6cffbad
core/builtins: Refactored numpy builtins to accept scalar and ndarrays
2024-05-06 15:38:29 +08:00
51671800b6
core/builtins: Extract codegen portion into functions
...
We will need to reuse them when implementing elementwise function
application for ndarrays.
2024-05-06 13:21:54 +08:00
7195476edb
core/builtins: Add llvm_intrinsics prefix
2024-05-06 13:21:54 +08:00
eecba0b71d
core: Add GenCall::create_dummy
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A simple abstraction for GenCalls that are already handled elsewhere.
2024-05-06 13:21:54 +08:00
f58c3a11f8
core/builtins: Rework handling of PrimitiveStore-Unifier tuples
2024-05-06 13:21:54 +08:00
d0766a116f
core: Remove Box from GenCallCallback type alias
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So that references to the function type can be taken.
2024-05-06 13:21:54 +08:00
64a3751fc2
core: Remove custom function type definitions for ndarray operators
2024-05-06 13:21:54 +08:00
5dfcc63978
core/classes: Take reference of indexes
2024-04-16 17:20:24 +08:00
6af13a8261
core: Implement elementwise binary operators
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Including immediate variants of these operators.
2024-04-03 00:07:33 +08:00
d5f4817134
core/builtins: Fix len() on ndarrays
2024-04-01 16:48:24 +08:00
1b77e62901
core: Split numpy into codegen and toplevel
2024-03-22 15:07:28 +08:00
c3b122acfc
core: Implement ndarray.copy
2024-03-07 14:59:13 +08:00
96b7f29679
core: Implement ndarray.fill
2024-03-07 14:59:13 +08:00
b26cb2b360
core: Express member func def IDs as offsets from class def ID
2024-03-06 12:24:39 +08:00
2317516cf6
core: Use tvars from ndarray for class definition
2024-03-04 23:58:02 +08:00
77de24ef74
core: Use BTreeMap for type variable mapping
...
There have been multiple instances where I had the need to iterate over
type variables, only to discover that the traversal order is arbitrary.
This commit fixes that by adding SortedMapping, which utilizes BTreeMap
internally to guarantee a traversal order. All instances of VarMap are
now refactored to use this to ensure that type variables are iterated in
the order of its variable ID, which should be monotonically incremented
by the unifier.
2024-03-04 23:56:04 +08:00
234a6bde2a
core: Use TObj for NDArray
2024-03-01 15:41:55 +08:00
c3db6297d9
core: Add primitive definition-id list
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So that we have a single ground truth for the definition IDs of
primitive types.
2024-03-01 11:29:10 +08:00
82fdb02d13
core: Extract LLVM intrinsic functions to their functions
2024-02-23 15:41:06 +08:00
49de81ef1e
core: Apply clippy suggestions
2024-02-23 15:41:06 +08:00
8492503af2
core: Update cargo dependencies
2024-02-23 15:41:04 +08:00
148900302e
core: Add RangeValue and helper functions
2024-01-25 15:51:39 +08:00
140f8f8a08
core: Implement most ndarray-creation functions
2023-12-22 16:29:55 +08:00
27fcf8926e
core: Implement ndarray constructor and numpy.empty
2023-12-22 16:29:54 +08:00
c395472094
core: Initial infrastructure for ndarray
2023-12-21 15:39:46 +08:00
a19f1065e3
meta: Refactor to use more let-else bindings
2023-12-12 16:31:14 +08:00
02933753ca
core: Apply clippy pedantic changes
2023-12-11 15:16:23 +08:00
d304afd333
meta: Apply clippy suggested changes
2023-12-11 15:16:23 +08:00
5182453bd9
meta: Remove redundant path prefixes
2023-12-11 15:16:23 +08:00
68b97347b1
core: Infer builtins name list using builtin declaration list
2023-12-08 17:29:34 +08:00
5c5620692f
core: Add np_{round,floor,ceil}
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These functions are NumPy variants of round/floor/ceil, which returns
floats instead of ints.
2023-11-23 13:45:07 +08:00
0af1e37e99
core: Prefix all NumPy/SciPy functions with np_/sp_spec
2023-11-23 13:35:23 +08:00
08a5050f9a
core: Implement non-trivial builtin functions using IRRT
2023-11-06 12:57:23 +08:00
fd787ca3f5
core: Remove trunc
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The behavior of trunc is already implemented by casts and is therefore
redundant.
2023-11-04 13:35:53 +08:00
4dbe07a0c0
core: Revert breaking changes to round-family functions
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These functions should return ints as the math.* functions do instead of
following the convention of numpy.* functions.
2023-11-04 13:35:53 +08:00
2e055e8ab1
core: Replace rint implementation with LLVM intrinsic
2023-11-04 13:35:53 +08:00
c6b9aefe00
core: Fix int32-to-uint64 conversion
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This conversion should be sign-extended.
2023-11-03 16:24:26 +08:00
8ad09748d0
core: Fix conversion from float to unsigned types
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These conversions also need to wraparound.
2023-11-03 16:24:26 +08:00
7a5a2db842
core: Fix handling of float-to-int32 casts
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Out-of-bound conversions should be wrapped around.
2023-11-03 16:24:26 +08:00
ff1fed112c
core: Rework gamma/gammaln to match SciPy behavior
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Matches behavior for infinities and NaNs.
2023-11-01 18:03:29 +08:00
2b635a0b97
core: Implement numpy and scipy functions
2023-11-01 18:03:29 +08:00
60ad100fbb
core: Implement and expose {isinf,isnan}
2023-11-01 18:03:29 +08:00
7cf7634985
core: Add create_fn_by_* functions
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Used for abstracting the creation of function from different sources.
2023-11-01 18:03:29 +08:00
068f0d9faf
core: Do not cast floor/ceil result to int
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NumPy explicitly states that the return type of the floor/ceil is float.
2023-11-01 18:03:29 +08:00
95810d4229
core: Remove {ceil64,floor64,round,round64}
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These are not present in NumPy or Artiq.
2023-11-01 18:03:29 +08:00
60a503a791
core: Allocate more stack variables at the beginning of function
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All allocas for temporary objects are now placed in the beginning of the
function. Allocas for on-temporary objects are not modified because
these variables may appear in a loop and thus must be uniquely
allocated by different allocas.
2023-10-06 11:42:47 +08:00
31dcd2dde9
core: Use i8 for boolean variable allocation
...
In LLVM, i1 represents a 1-byte integer with a single valid bit; The
rest of the 7 upper bits are undefined. This causes problems when
using these variables in memory operations (e.g. memcpy/memmove as
needed by List slicing and assignment).
We fix this by treating all local boolean variables as i8 so that they
are well-defined for memory operations. Function ABIs will continue to
use i1, as memory operations cannot be directly performed on function
arguments or return types, instead they are always converted back into
local boolean variables (which are i8s anyways).
Fixes #315 .
2023-09-25 15:42:07 +08:00
