577 lines
12 KiB
C++
577 lines
12 KiB
C++
// Copyright (c) Facebook, Inc. and its affiliates.
|
|
// All rights reserved.
|
|
//
|
|
// Copyright 2019 Google LLC
|
|
//
|
|
// This source code is licensed under the BSD-style license found in the
|
|
// LICENSE file in the root directory of this source tree.
|
|
|
|
#include <gtest/gtest.h>
|
|
|
|
#include "fully-connected-operator-tester.h"
|
|
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, unit_batch) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, unit_batch_with_qmin) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmin(128)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, unit_batch_with_qmax) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmax(128)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, unit_batch_with_input_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.input_stride(28)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, unit_batch_with_output_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.output_stride(29)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, unit_batch_transpose_weights) {
|
|
FullyConnectedOperatorTester()
|
|
.transpose_weights(true)
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, unit_batch_without_bias) {
|
|
FullyConnectedOperatorTester()
|
|
.has_bias(false)
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, small_batch) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, small_batch_with_qmin) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmin(128)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, small_batch_with_qmax) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmax(128)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, small_batch_with_input_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.input_stride(28)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, small_batch_with_output_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.output_stride(29)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, small_batch_transpose_weights) {
|
|
FullyConnectedOperatorTester()
|
|
.transpose_weights(true)
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QS8, small_batch_without_bias) {
|
|
FullyConnectedOperatorTester()
|
|
.has_bias(false)
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQS8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, unit_batch) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, unit_batch_with_qmin) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmin(128)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, unit_batch_with_qmax) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmax(128)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, unit_batch_with_input_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.input_stride(28)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, unit_batch_with_output_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.output_stride(29)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, unit_batch_transpose_weights) {
|
|
FullyConnectedOperatorTester()
|
|
.transpose_weights(true)
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, unit_batch_without_bias) {
|
|
FullyConnectedOperatorTester()
|
|
.has_bias(false)
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, small_batch) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, small_batch_with_qmin) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmin(128)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, small_batch_with_qmax) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmax(128)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, small_batch_with_input_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.input_stride(28)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, small_batch_with_output_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.output_stride(29)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, small_batch_transpose_weights) {
|
|
FullyConnectedOperatorTester()
|
|
.transpose_weights(true)
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_QU8, small_batch_without_bias) {
|
|
FullyConnectedOperatorTester()
|
|
.has_bias(false)
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestQU8();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, unit_batch) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, unit_batch_with_qmin) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmin(128)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, unit_batch_with_qmax) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmax(128)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, unit_batch_with_input_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.input_stride(28)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, unit_batch_with_output_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.output_stride(29)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, unit_batch_transpose_weights) {
|
|
FullyConnectedOperatorTester()
|
|
.transpose_weights(true)
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, unit_batch_without_bias) {
|
|
FullyConnectedOperatorTester()
|
|
.has_bias(false)
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, small_batch) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, small_batch_with_qmin) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmin(128)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, small_batch_with_qmax) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmax(128)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, small_batch_with_input_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.input_stride(28)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, small_batch_with_output_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.output_stride(29)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, small_batch_transpose_weights) {
|
|
FullyConnectedOperatorTester()
|
|
.transpose_weights(true)
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F32, small_batch_without_bias) {
|
|
FullyConnectedOperatorTester()
|
|
.has_bias(false)
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF32();
|
|
}
|
|
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, unit_batch) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, unit_batch_with_qmin) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmin(128)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, unit_batch_with_qmax) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmax(128)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, unit_batch_with_input_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.input_stride(28)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, unit_batch_with_output_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.output_stride(29)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, unit_batch_transpose_weights) {
|
|
FullyConnectedOperatorTester()
|
|
.transpose_weights(true)
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, unit_batch_without_bias) {
|
|
FullyConnectedOperatorTester()
|
|
.has_bias(false)
|
|
.batch_size(1)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, small_batch) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, small_batch_fp32_weights) {
|
|
FullyConnectedOperatorTester()
|
|
.weights_type(FullyConnectedOperatorTester::WeightsType::FP32)
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, small_batch_with_qmin) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmin(128)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, small_batch_with_qmax) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.qmax(128)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, small_batch_with_input_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.input_stride(28)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, small_batch_with_output_stride) {
|
|
FullyConnectedOperatorTester()
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.output_stride(29)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, small_batch_transpose_fp32_weights) {
|
|
FullyConnectedOperatorTester()
|
|
.weights_type(FullyConnectedOperatorTester::WeightsType::FP32)
|
|
.transpose_weights(true)
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|
|
|
|
TEST(FULLY_CONNECTED_NC_F16, small_batch_without_bias) {
|
|
FullyConnectedOperatorTester()
|
|
.has_bias(false)
|
|
.batch_size(12)
|
|
.input_channels(23)
|
|
.output_channels(19)
|
|
.iterations(3)
|
|
.TestF16();
|
|
}
|