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power-fv/power_fv/insn/field.py

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In-depth refactoring, improved user interface. * A PowerFVSession class provides a REPL interface. Functionality is split into commands (e.g. add checks, build) which can be provided interactively or from a file. See cores/microwatt for an example of its integration. * Instruction specifications are now separated from verification testbenches. An InsnSpec class provides a behavioral model using the same PowerFV interface as a core. This interface is output-only for a core, but bidirectional for the InsnSpec: - fields related to context (e.g. read data) are inputs, - fields related to side-effects (e.g. write strobes) are outputs. The testbench is responsible for driving inputs to the same values as the core, then check outputs for equivalence. This decoupling provides a path towards using PowerFV in simulation. * Instruction encodings are now defined by their fields, not their format (which was problematic e.g. X-form has dozens of variants). Field declarations can be preset to a value, or left undefined. In the latter case, they are implicitly cast to AnyConst (which is useful for arbitrary values like immediates).
2 years ago
from amaranth import signed, unsigned
from . import InsnField
class AA (InsnField): _shape = unsigned( 1); _offset = 30; _name = "AA"
class BA (InsnField): _shape = unsigned( 5); _offset = 11; _name = "BA"
class BB (InsnField): _shape = unsigned( 5); _offset = 16; _name = "BB"
class BD (InsnField): _shape = signed(14); _offset = 16; _name = "BD"
class BF (InsnField): _shape = unsigned( 3); _offset = 6; _name = "BF"
class BFA (InsnField): _shape = unsigned( 3); _offset = 11; _name = "BFA"
class BH (InsnField): _shape = unsigned( 2); _offset = 19; _name = "BH"
class BI (InsnField): _shape = unsigned( 5); _offset = 11; _name = "BI"
class BO (InsnField): _shape = unsigned( 5); _offset = 6; _name = "BO"
class BT (InsnField): _shape = unsigned( 5); _offset = 6; _name = "BT"
class CY (InsnField): _shape = unsigned( 2); _offset = 21; _name = "CY"
Add checks for Load/Store instructions.
2 years ago
class D (InsnField): _shape = signed(16); _offset = 16; _name = "D"
In-depth refactoring, improved user interface. * A PowerFVSession class provides a REPL interface. Functionality is split into commands (e.g. add checks, build) which can be provided interactively or from a file. See cores/microwatt for an example of its integration. * Instruction specifications are now separated from verification testbenches. An InsnSpec class provides a behavioral model using the same PowerFV interface as a core. This interface is output-only for a core, but bidirectional for the InsnSpec: - fields related to context (e.g. read data) are inputs, - fields related to side-effects (e.g. write strobes) are outputs. The testbench is responsible for driving inputs to the same values as the core, then check outputs for equivalence. This decoupling provides a path towards using PowerFV in simulation. * Instruction encodings are now defined by their fields, not their format (which was problematic e.g. X-form has dozens of variants). Field declarations can be preset to a value, or left undefined. In the latter case, they are implicitly cast to AnyConst (which is useful for arbitrary values like immediates).
2 years ago
class d0 (InsnField): _shape = signed(10); _offset = 16; _name = "d0"
class d1 (InsnField): _shape = signed( 5); _offset = 11; _name = "d1"
class d2 (InsnField): _shape = signed( 1); _offset = 31; _name = "d2"
Add check for System Call instruction.
2 years ago
class LEV (InsnField): _shape = unsigned( 7); _offset = 20; _name = "LEV"
In-depth refactoring, improved user interface. * A PowerFVSession class provides a REPL interface. Functionality is split into commands (e.g. add checks, build) which can be provided interactively or from a file. See cores/microwatt for an example of its integration. * Instruction specifications are now separated from verification testbenches. An InsnSpec class provides a behavioral model using the same PowerFV interface as a core. This interface is output-only for a core, but bidirectional for the InsnSpec: - fields related to context (e.g. read data) are inputs, - fields related to side-effects (e.g. write strobes) are outputs. The testbench is responsible for driving inputs to the same values as the core, then check outputs for equivalence. This decoupling provides a path towards using PowerFV in simulation. * Instruction encodings are now defined by their fields, not their format (which was problematic e.g. X-form has dozens of variants). Field declarations can be preset to a value, or left undefined. In the latter case, they are implicitly cast to AnyConst (which is useful for arbitrary values like immediates).
2 years ago
class L_D10 (InsnField): _shape = unsigned( 1); _offset = 10; _name = "L"
class L_X10 (InsnField): _shape = unsigned( 1); _offset = 10; _name = "L"
class L_X15 (InsnField): _shape = unsigned( 1); _offset = 15; _name = "L"
class LI (InsnField): _shape = signed(24); _offset = 6; _name = "LI"
class LK (InsnField): _shape = unsigned( 1); _offset = 31; _name = "LK"
class OE (InsnField): _shape = unsigned( 1); _offset = 21; _name = "OE"
class PO (InsnField): _shape = unsigned( 6); _offset = 0; _name = "PO"
Add checks for Rotate/Shift instructions.
2 years ago
class MB (InsnField): _shape = unsigned( 5); _offset = 21; _name = "MB"
class ME (InsnField): _shape = unsigned( 5); _offset = 26; _name = "ME"
In-depth refactoring, improved user interface. * A PowerFVSession class provides a REPL interface. Functionality is split into commands (e.g. add checks, build) which can be provided interactively or from a file. See cores/microwatt for an example of its integration. * Instruction specifications are now separated from verification testbenches. An InsnSpec class provides a behavioral model using the same PowerFV interface as a core. This interface is output-only for a core, but bidirectional for the InsnSpec: - fields related to context (e.g. read data) are inputs, - fields related to side-effects (e.g. write strobes) are outputs. The testbench is responsible for driving inputs to the same values as the core, then check outputs for equivalence. This decoupling provides a path towards using PowerFV in simulation. * Instruction encodings are now defined by their fields, not their format (which was problematic e.g. X-form has dozens of variants). Field declarations can be preset to a value, or left undefined. In the latter case, they are implicitly cast to AnyConst (which is useful for arbitrary values like immediates).
2 years ago
class RA (InsnField): _shape = unsigned( 5); _offset = 11; _name = "RA"
class RB (InsnField): _shape = unsigned( 5); _offset = 16; _name = "RB"
class Rc (InsnField): _shape = unsigned( 1); _offset = 31; _name = "Rc"
class RS (InsnField): _shape = unsigned( 5); _offset = 6; _name = "RS"
class RT (InsnField): _shape = unsigned( 5); _offset = 6; _name = "RT"
Add check for System Call instruction.
2 years ago
class SC_30 (InsnField): _shape = unsigned( 1); _offset = 30; _name = "_30"
class SC_31 (InsnField): _shape = unsigned( 1); _offset = 31; _name = "_31"
In-depth refactoring, improved user interface. * A PowerFVSession class provides a REPL interface. Functionality is split into commands (e.g. add checks, build) which can be provided interactively or from a file. See cores/microwatt for an example of its integration. * Instruction specifications are now separated from verification testbenches. An InsnSpec class provides a behavioral model using the same PowerFV interface as a core. This interface is output-only for a core, but bidirectional for the InsnSpec: - fields related to context (e.g. read data) are inputs, - fields related to side-effects (e.g. write strobes) are outputs. The testbench is responsible for driving inputs to the same values as the core, then check outputs for equivalence. This decoupling provides a path towards using PowerFV in simulation. * Instruction encodings are now defined by their fields, not their format (which was problematic e.g. X-form has dozens of variants). Field declarations can be preset to a value, or left undefined. In the latter case, they are implicitly cast to AnyConst (which is useful for arbitrary values like immediates).
2 years ago
class SI (InsnField): _shape = signed(16); _offset = 16; _name = "SI"
Add checks for Rotate/Shift instructions.
2 years ago
class SH (InsnField): _shape = unsigned( 5); _offset = 16; _name = "SH"
In-depth refactoring, improved user interface. * A PowerFVSession class provides a REPL interface. Functionality is split into commands (e.g. add checks, build) which can be provided interactively or from a file. See cores/microwatt for an example of its integration. * Instruction specifications are now separated from verification testbenches. An InsnSpec class provides a behavioral model using the same PowerFV interface as a core. This interface is output-only for a core, but bidirectional for the InsnSpec: - fields related to context (e.g. read data) are inputs, - fields related to side-effects (e.g. write strobes) are outputs. The testbench is responsible for driving inputs to the same values as the core, then check outputs for equivalence. This decoupling provides a path towards using PowerFV in simulation. * Instruction encodings are now defined by their fields, not their format (which was problematic e.g. X-form has dozens of variants). Field declarations can be preset to a value, or left undefined. In the latter case, they are implicitly cast to AnyConst (which is useful for arbitrary values like immediates).
2 years ago
class UI (InsnField): _shape = unsigned(16); _offset = 16; _name = "UI"
class XO (InsnField): _shape = unsigned( 9); _offset = 22; _name = "XO"
class XO_DX (InsnField): _shape = unsigned( 5); _offset = 26; _name = "XO"
class XO_X (InsnField): _shape = unsigned(10); _offset = 21; _name = "XO"
class XO_XFX(InsnField): _shape = unsigned(10); _offset = 21; _name = "XO"
class XO_XL (InsnField): _shape = unsigned(10); _offset = 21; _name = "XO"
class XO_Z23(InsnField): _shape = unsigned( 8); _offset = 23; _name = "XO"
class SPR(InsnField):
_shape = unsigned(10)
_offset = 11
_name = "SPR"
def __init__(self, value=None):
super().__init__(value)
if self.value is not None:
self.value = (self.value & 0x1f) << 5 | (self.value >> 5)