// 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 #include #include "prelu-operator-tester.h" TEST(PRELU_NC_F32, unit_batch) { for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max(1, xnn_params.f32.prelu.channel_tile - 1)) { PReLUOperatorTester() .batch_size(1) .channels(channels) .iterations(3) .TestF32(); } } TEST(PRELU_NC_F32, small_batch) { for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max(1, xnn_params.f32.prelu.channel_tile - 1)) { PReLUOperatorTester() .batch_size(xnn_params.f32.prelu.row_tile) .channels(channels) .iterations(3) .TestF32(); } } TEST(PRELU_NC_F32, small_batch_with_x_stride) { for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max(1, xnn_params.f32.prelu.channel_tile - 1)) { PReLUOperatorTester() .batch_size(xnn_params.f32.prelu.row_tile) .channels(channels) .x_stride(123) .iterations(3) .TestF32(); } } TEST(PRELU_NC_F32, small_batch_with_y_stride) { for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max(1, xnn_params.f32.prelu.channel_tile - 1)) { PReLUOperatorTester() .batch_size(xnn_params.f32.prelu.row_tile) .channels(channels) .y_stride(117) .iterations(3) .TestF32(); } } TEST(PRELU_NC_F32, small_batch_with_x_stride_and_y_stride) { for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max(1, xnn_params.f32.prelu.channel_tile - 1)) { PReLUOperatorTester() .batch_size(xnn_params.f32.prelu.row_tile) .channels(channels) .x_stride(123) .y_stride(117) .iterations(3) .TestF32(); } } TEST(PRELU_NC_F32, large_batch) { for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max(1, xnn_params.f32.prelu.channel_tile - 1)) { PReLUOperatorTester() .batch_size(3 * xnn_params.f32.prelu.row_tile + 1) .channels(channels) .iterations(1) .TestF32(); } } TEST(PRELU_NC_F32, large_batch_with_x_stride) { for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max(1, xnn_params.f32.prelu.channel_tile - 1)) { PReLUOperatorTester() .batch_size(3 * xnn_params.f32.prelu.row_tile + 1) .channels(channels) .x_stride(123) .iterations(1) .TestF32(); } } TEST(PRELU_NC_F32, large_batch_with_y_stride) { for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max(1, xnn_params.f32.prelu.channel_tile - 1)) { PReLUOperatorTester() .batch_size(3 * xnn_params.f32.prelu.row_tile + 1) .channels(channels) .y_stride(117) .iterations(1) .TestF32(); } } TEST(PRELU_NC_F32, large_batch_with_x_stride_and_y_stride) { for (size_t channels = 1; channels < xnn_params.f32.prelu.channel_tile * 10; channels += std::max(1, xnn_params.f32.prelu.channel_tile - 1)) { PReLUOperatorTester() .batch_size(3 * xnn_params.f32.prelu.row_tile + 1) .channels(channels) .x_stride(123) .y_stride(117) .iterations(1) .TestF32(); } }