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110 lines
3.5 KiB
110 lines
3.5 KiB
// Copyright 2019 Google LLC
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//
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree.
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#include <gtest/gtest.h>
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#include <xnnpack/params.h>
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#include "prelu-operator-tester.h"
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TEST(PRELU_NC_F32, unit_batch) {
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for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
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PReLUOperatorTester()
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.batch_size(1)
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.channels(channels)
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.iterations(3)
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.TestF32();
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}
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}
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TEST(PRELU_NC_F32, small_batch) {
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for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
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PReLUOperatorTester()
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.batch_size(xnn_params.f32.prelu.row_tile)
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.channels(channels)
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.iterations(3)
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.TestF32();
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}
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}
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TEST(PRELU_NC_F32, small_batch_with_x_stride) {
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for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
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PReLUOperatorTester()
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.batch_size(xnn_params.f32.prelu.row_tile)
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.channels(channels)
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.x_stride(123)
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.iterations(3)
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.TestF32();
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}
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}
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TEST(PRELU_NC_F32, small_batch_with_y_stride) {
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for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
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PReLUOperatorTester()
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.batch_size(xnn_params.f32.prelu.row_tile)
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.channels(channels)
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.y_stride(117)
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.iterations(3)
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.TestF32();
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}
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}
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TEST(PRELU_NC_F32, small_batch_with_x_stride_and_y_stride) {
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for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
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PReLUOperatorTester()
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.batch_size(xnn_params.f32.prelu.row_tile)
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.channels(channels)
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.x_stride(123)
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.y_stride(117)
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.iterations(3)
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.TestF32();
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}
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}
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TEST(PRELU_NC_F32, large_batch) {
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for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
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PReLUOperatorTester()
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.batch_size(3 * xnn_params.f32.prelu.row_tile + 1)
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.channels(channels)
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.iterations(1)
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.TestF32();
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}
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}
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TEST(PRELU_NC_F32, large_batch_with_x_stride) {
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for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
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PReLUOperatorTester()
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.batch_size(3 * xnn_params.f32.prelu.row_tile + 1)
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.channels(channels)
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.x_stride(123)
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.iterations(1)
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.TestF32();
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}
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}
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TEST(PRELU_NC_F32, large_batch_with_y_stride) {
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for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
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PReLUOperatorTester()
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.batch_size(3 * xnn_params.f32.prelu.row_tile + 1)
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.channels(channels)
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.y_stride(117)
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.iterations(1)
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.TestF32();
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}
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}
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TEST(PRELU_NC_F32, large_batch_with_x_stride_and_y_stride) {
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for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max<size_t>(1, xnn_params.f32.prelu.channel_tile - 1)) {
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PReLUOperatorTester()
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.batch_size(3 * xnn_params.f32.prelu.row_tile + 1)
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.channels(channels)
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.x_stride(123)
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.y_stride(117)
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.iterations(1)
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.TestF32();
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}
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}
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