From 15a8e803844b286fe9533e1cf703c76a77b090a8 Mon Sep 17 00:00:00 2001 From: Andreas Nevalainen Date: Mon, 16 Nov 2020 09:14:52 +0100 Subject: MLMBED-3450: Do not convert batched fully connected to conv Do not convert batched fully connected operators to avoid moving weights from flash to SRAM. Change-Id: I873c9ce05377de3f16e4cee9a0863f29d9ec3ad4 Signed-off-by: Andreas Nevalainen --- ethosu/vela/test/test_graph_optimiser.py | 61 ++++++++++++++++++++++++++++++++ 1 file changed, 61 insertions(+) create mode 100644 ethosu/vela/test/test_graph_optimiser.py (limited to 'ethosu/vela/test/test_graph_optimiser.py') diff --git a/ethosu/vela/test/test_graph_optimiser.py b/ethosu/vela/test/test_graph_optimiser.py new file mode 100644 index 00000000..62a1b763 --- /dev/null +++ b/ethosu/vela/test/test_graph_optimiser.py @@ -0,0 +1,61 @@ +# Copyright (C) 2020 Arm Limited or its affiliates. All rights reserved. +# +# SPDX-License-Identifier: Apache-2.0 +# +# Licensed under the Apache License, Version 2.0 (the License); you may +# not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an AS IS BASIS, WITHOUT +# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# +# Description: +# Unit tests for graph_optimiser +import numpy as np + +from ethosu.vela.graph_optimiser import convert_batched_fc_shape +from ethosu.vela.operation import Op +from ethosu.vela.tensor import create_const_tensor +from ethosu.vela.tensor import Tensor +from ethosu.vela.test import testutil + + +def test_convert_batched_fc(): + """Tests shape conversion of batched fully connected""" + shape = [4, 8] + ifm = create_const_tensor("test_in", shape, np.uint8, np.zeros(shape)) + weights = create_const_tensor("weight_in", shape, np.uint8, np.zeros(shape)) + ofm = Tensor(ifm.shape, np.uint8, "test_out") + op = testutil.create_op(Op.FullyConnected, [ifm, weights], ofm) + ifm.consumer_list.append(op) + + prev_op = op.clone() + conv_op = convert_batched_fc_shape(op, None, None) + + assert conv_op.ifm != prev_op.ifm + assert conv_op.ofm != prev_op.ofm + assert conv_op.type == Op.FullyConnected + assert len(conv_op.ifm.shape) == 4 + assert conv_op.ifm.shape == conv_op.ofm.shape + assert conv_op.ifm.ops[0].type == Op.Reshape + + shape = [1, 8] + ifm.shape = shape + weights.shape = shape + ofm.shape = shape + op = testutil.create_op(Op.FullyConnected, [ifm, weights], ofm) + ifm.consumer_list.append(op) + + prev_op = op.clone() + conv_op = convert_batched_fc_shape(op, None, None) + + assert conv_op.ifm == prev_op.ifm + assert conv_op.ofm == prev_op.ofm + assert conv_op.type == Op.FullyConnected + assert len(conv_op.ifm.shape) == 2 + assert conv_op.ifm.shape == conv_op.ofm.shape -- cgit v1.2.1