| // 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 <xnnpack/params.h> |
| |
| #include "average-pooling-operator-tester.h" |
| |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_1xM_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_1xM_pool_with_padding) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 3; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| for (size_t padding_left = 0; padding_left <= 1; padding_left++) { |
| for (size_t padding_right = 0; padding_right <= 1; padding_right++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .padding_left(padding_left) |
| .padding_right(padding_right) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_1xM_pool_with_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 4) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .stride_width(2) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_Mx1_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_Mx1_pool_with_padding) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| for (size_t padding_top = 0; padding_top <= 1; padding_top++) { |
| for (size_t padding_bottom = 0; padding_bottom <= 1; padding_bottom++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .padding_top(padding_top) |
| .padding_bottom(padding_bottom) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_Mx1_pool_with_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 3) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .stride_height(2) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_pool_with_input_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_pool_with_output_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_pool_with_input_scale) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| for (float input_scale = 0.01f; input_scale < 100.0f; input_scale *= 3.14159265f) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_scale(input_scale) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_scale(input_scale) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_pool_with_input_zero_point) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| for (int32_t input_zero_point = 0; input_zero_point <= 255; input_zero_point += 51) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_zero_point(uint8_t(input_zero_point)) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_zero_point(uint8_t(input_zero_point)) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_pool_with_output_scale) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| for (float output_scale = 0.01f; output_scale < 100.0f; output_scale *= 3.14159265f) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_scale(output_scale) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_scale(output_scale) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_pool_with_output_zero_point) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| for (int32_t output_zero_point = 0; output_zero_point <= 255; output_zero_point += 51) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_zero_point(uint8_t(output_zero_point)) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_zero_point(uint8_t(output_zero_point)) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_pool_with_qmin) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .qmin(128) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .qmin(128) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_small_pool_with_qmax) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .qmax(128) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .qmax(128) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_1xM_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_1xM_pool_with_padding) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 3; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| for (size_t padding_left = 0; padding_left <= 1; padding_left++) { |
| for (size_t padding_right = 0; padding_right <= 1; padding_right++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .padding_left(padding_left) |
| .padding_right(padding_right) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_1xM_pool_with_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 4) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .stride_width(2) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_Mx1_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_Mx1_pool_with_padding) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| for (size_t padding_top = 0; padding_top <= 1; padding_top++) { |
| for (size_t padding_bottom = 0; padding_bottom <= 1; padding_bottom++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .padding_top(padding_top) |
| .padding_bottom(padding_bottom) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_Mx1_pool_with_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| for (size_t padding_top = 0; padding_top <= 1; padding_top++) { |
| for (size_t padding_bottom = 0; padding_bottom <= 1; padding_bottom++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .padding_top(padding_top) |
| .padding_bottom(padding_bottom) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_pool_with_input_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_pool_with_input_scale) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| for (float input_scale = 0.01f; input_scale < 100.0f; input_scale *= 3.14159265f) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_scale(input_scale) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_scale(input_scale) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_pool_with_input_zero_point) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| for (int32_t input_zero_point = 0; input_zero_point <= 255; input_zero_point += 51) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_zero_point(uint8_t(input_zero_point)) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_zero_point(uint8_t(input_zero_point)) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_pool_with_output_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_pool_with_output_scale) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| for (float output_scale = 0.01f; output_scale < 100.0f; output_scale *= 3.14159265f) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_scale(output_scale) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_scale(output_scale) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_pool_with_output_zero_point) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| for (int32_t output_zero_point = 0; output_zero_point <= 255; output_zero_point += 51) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_zero_point(uint8_t(output_zero_point)) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_zero_point(uint8_t(output_zero_point)) |
| .TestQ8(); |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_pool_with_qmin) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .qmin(128) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .qmin(128) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, unit_batch_large_pool_with_qmax) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .qmax(128) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .qmax(128) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, small_batch_small_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, small_batch_small_pool_with_input_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 1) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, small_batch_small_pool_with_output_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.q8.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 1) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, small_batch_large_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, small_batch_large_pool_with_input_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 1) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, small_batch_large_pool_with_output_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.q8.avgpool.mr + 1; pool_size <= xnn_params.q8.avgpool.mr + xnn_params.q8.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 1) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestQ8(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, setup_increasing_batch) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .next_batch_size(5) |
| .input_height(8) |
| .input_width(8) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupQ8(); |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, setup_decreasing_batch) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| AveragePoolingOperatorTester() |
| .batch_size(5) |
| .next_batch_size(3) |
| .input_height(8) |
| .input_width(8) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupQ8(); |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, setup_changing_height) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(8) |
| .input_width(8) |
| .next_input_height(9) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(8) |
| .input_width(8) |
| .next_input_height(7) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupQ8(); |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, setup_changing_width) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(8) |
| .input_width(8) |
| .next_input_width(9) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupQ8(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(8) |
| .input_width(8) |
| .next_input_width(7) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupQ8(); |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_Q8, setup_swap_height_and_width) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(9) |
| .input_width(8) |
| .next_input_height(8) |
| .next_input_width(9) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupQ8(); |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_small_1xM_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_small_1xM_pool_with_padding) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 3; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| for (size_t padding_left = 0; padding_left <= 1; padding_left++) { |
| for (size_t padding_right = 0; padding_right <= 1; padding_right++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .padding_left(padding_left) |
| .padding_right(padding_right) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_small_1xM_pool_with_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 4) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .stride_width(2) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_small_Mx1_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_small_Mx1_pool_with_padding) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| for (size_t padding_top = 0; padding_top <= 1; padding_top++) { |
| for (size_t padding_bottom = 0; padding_bottom <= 1; padding_bottom++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .padding_top(padding_top) |
| .padding_bottom(padding_bottom) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_small_Mx1_pool_with_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 3) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .stride_height(2) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_small_pool_with_input_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_small_pool_with_output_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_small_pool_with_qmin) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .qmin(128) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .qmin(128) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_small_pool_with_qmax) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .qmax(128) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .qmax(128) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_large_1xM_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_large_1xM_pool_with_padding) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 3; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| for (size_t padding_left = 0; padding_left <= 1; padding_left++) { |
| for (size_t padding_right = 0; padding_right <= 1; padding_right++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .padding_left(padding_left) |
| .padding_right(padding_right) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_large_1xM_pool_with_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 4) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .stride_width(2) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_large_Mx1_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_large_Mx1_pool_with_padding) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| for (size_t padding_top = 0; padding_top <= 1; padding_top++) { |
| for (size_t padding_bottom = 0; padding_bottom <= 1; padding_bottom++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .padding_top(padding_top) |
| .padding_bottom(padding_bottom) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_large_Mx1_pool_with_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| for (size_t padding_top = 0; padding_top <= 1; padding_top++) { |
| for (size_t padding_bottom = 0; padding_bottom <= 1; padding_bottom++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .padding_top(padding_top) |
| .padding_bottom(padding_bottom) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_large_pool_with_input_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_large_pool_with_output_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_large_pool_with_qmin) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .qmin(128) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .qmin(128) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, unit_batch_large_pool_with_qmax) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .qmax(128) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(1) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .qmax(128) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, small_batch_small_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, small_batch_small_pool_with_input_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 1) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, small_batch_small_pool_with_output_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = 2; pool_size <= xnn_params.f32.avgpool.mr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 1) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, small_batch_large_pool) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 2) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, small_batch_large_pool_with_input_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 1) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .input_pixel_stride(5 * channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, small_batch_large_pool_with_output_stride) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| for (size_t channels = 1; channels <= 100; channels += 15) { |
| for (size_t pool_size = xnn_params.f32.avgpool.mr + 1; pool_size <= xnn_params.f32.avgpool.mr + xnn_params.f32.avgpool.qr; pool_size++) { |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(pool_size + 1) |
| .input_width(3) |
| .pooling_height(pool_size) |
| .pooling_width(1) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(2) |
| .input_width(pool_size + 1) |
| .pooling_height(1) |
| .pooling_width(pool_size) |
| .channels(channels) |
| .output_pixel_stride(5 * channels) |
| .TestF32(); |
| } |
| } |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, setup_increasing_batch) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .next_batch_size(5) |
| .input_height(8) |
| .input_width(8) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupF32(); |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, setup_decreasing_batch) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| AveragePoolingOperatorTester() |
| .batch_size(5) |
| .next_batch_size(3) |
| .input_height(8) |
| .input_width(8) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupF32(); |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, setup_changing_height) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(8) |
| .input_width(8) |
| .next_input_height(9) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(8) |
| .input_width(8) |
| .next_input_height(7) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupF32(); |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, setup_changing_width) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(8) |
| .input_width(8) |
| .next_input_width(9) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupF32(); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(8) |
| .input_width(8) |
| .next_input_width(7) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupF32(); |
| } |
| |
| TEST(AVERAGE_POOLING_NHWC_OP_F32, setup_swap_height_and_width) { |
| ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */)); |
| AveragePoolingOperatorTester() |
| .batch_size(3) |
| .input_height(9) |
| .input_width(8) |
| .next_input_height(8) |
| .next_input_width(9) |
| .pooling_height(5) |
| .pooling_width(3) |
| .channels(24) |
| .TestSetupF32(); |
| } |
