|
ZigZag - Deep Learning Hardware Design Space Exploration
This repository presents the novel version of our tried-and-tested hardware Architecture-Mapping Design Space Exploration (DSE) Framework for Deep Learning (DL) accelerators. ZigZag bridges the gap between algorithmic DL decisions and their acceleration cost on specialized accelerators through a fast and accurate hardware cost estimation.
|
"! core computation equation, e.g. More...


Public Member Functions | |
| def | __init__ (self, str data) |
| list[LayerOperand] | get_contained_operands (self) |
| Return a list with all LayerOperands contained within this instance. More... | |
| list[LayerDim] | get_r_layer_dims (self, LayerOperand layer_op) |
Return a list with all LayerDims that are relevant for the given LayerOperand. More... | |
Public Member Functions inherited from LayerAttribute | |
| def | __init__ (self, Any data) |
| int | __len__ (self) |
| Iterator[Any] | __iter__ (self) |
| def | __getitem__ (self, Any key) |
| bool | __contains__ (self, Any key) |
| def | __str__ (self) |
| def | __repr__ (self) |
| Any | __jsonrepr__ (self) |
| def | __eq__ (self, object other) |
| def | __hash__ (self) |
Public Attributes | |
| data | |
| disassembly | |
Public Attributes inherited from LayerAttribute | |
| data | |
"! core computation equation, e.g.
O[g][b][k][oy][ox]+=W[g][k][c][fy][fx]*I[g][b][c][ix][iy], Y[i][j] += A[i][k] * B[k][j], Y[i][j] += A[i][k][l] * B[k][j] * C[l][j], etc.
| def __init__ | ( | self, | |
| str | data | ||
| ) |
| list[LayerOperand] get_contained_operands | ( | self | ) |
Return a list with all LayerOperands contained within this instance.


| list[LayerDim] get_r_layer_dims | ( | self, | |
| LayerOperand | layer_op | ||
| ) |
Return a list with all LayerDims that are relevant for the given LayerOperand.

| data |
| disassembly |