diff options
Diffstat (limited to 'verif/generator/tosa_arg_gen.py')
| -rw-r--r-- | verif/generator/tosa_arg_gen.py | 37 |
1 files changed, 36 insertions, 1 deletions
diff --git a/verif/generator/tosa_arg_gen.py b/verif/generator/tosa_arg_gen.py index 4e15b06..fed91f6 100644 --- a/verif/generator/tosa_arg_gen.py +++ b/verif/generator/tosa_arg_gen.py @@ -1,4 +1,4 @@ -# Copyright (c) 2021-2022, ARM Limited. +# Copyright (c) 2021-2023, ARM Limited. # SPDX-License-Identifier: Apache-2.0 import itertools import math @@ -417,6 +417,41 @@ class TosaTensorGen: return [ifm_shape, filter_shape, bias_shape] @staticmethod + def tgRFFT2d(testGen, op, rank, error_name=None): + pl, const = op["operands"] + + if error_name != ErrorIf.WrongRank: + assert rank == 3 + assert pl == 1 and const == 0 + + # IFM dimensions are NHW + ifm_shape = testGen.makeShape(rank) + + # Select nearest lower power of two from input height and width + ifm_shape[1] = 2 ** int(math.log(ifm_shape[1], 2)) + ifm_shape[2] = 2 ** int(math.log(ifm_shape[2], 2)) + + # Constrict the overall size of the shape when creating ERROR_IF tests + if error_name: + ifm_shape = TosaErrorIfArgGen.eiRestrictDimensions(ifm_shape) + + # Generate an invalid kernel that is not a power of two + if error_name == ErrorIf.KernelNotPowerOfTwo: + # We must increment by 2 if current size is 1 + inc_h = 2 if ifm_shape[1] == 1 else 1 + inc_w = 2 if ifm_shape[2] == 1 else 1 + inc_choices = [(inc_h, 0), (0, inc_w), (inc_h, inc_w)] + selected_inc = testGen.rng.choice(inc_choices) + ifm_shape[1] += selected_inc[0] + ifm_shape[2] += selected_inc[1] + + # Constrict the batch size + if testGen.args.max_batch_size: + ifm_shape[0] = (ifm_shape[0] % testGen.args.max_batch_size) + 1 + + return [ifm_shape] + + @staticmethod def tgFullyConnected(testGen, op, rank, error_name=None): pl, const = op["operands"] |