1114 lines
		
	
	
		
			41 KiB
		
	
	
	
		
			C++
		
	
	
	
			
		
		
	
	
			1114 lines
		
	
	
		
			41 KiB
		
	
	
	
		
			C++
		
	
	
	
| // Copyright (c) Facebook, Inc. and its affiliates.
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| // All rights reserved.
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| //
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| // 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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| 
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| #include <algorithm>
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| #include <cstddef>
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| #include <cstdint>
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| 
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| #include <gtest/gtest.h>
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| 
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| #include "global-average-pooling-operator-tester.h"
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| 
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| #include <xnnpack/params.h>
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_small_width) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = 1; width <= spatial_tile; width++) {
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|       GlobalAveragePoolingOperatorTester()
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|         .batch_size(1)
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|         .width(width)
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|         .channels(channels)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_small_width_with_input_stride) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = 1; width <= spatial_tile; width++) {
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|       GlobalAveragePoolingOperatorTester()
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|         .batch_size(1)
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|         .width(width)
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|         .channels(channels)
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|         .input_stride(5 * channels)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_small_width_with_input_scale) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = 1; width <= spatial_tile; width++) {
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|       for (float input_scale = 0.01f; input_scale < 100.0f; input_scale *= 3.14159265f) {
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|         GlobalAveragePoolingOperatorTester()
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|           .batch_size(1)
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|           .width(width)
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|           .channels(channels)
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|           .input_scale(input_scale)
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|           .TestNWCxQU8();
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|       }
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_small_width_with_input_zero_point) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = 1; width <= spatial_tile; width++) {
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|       for (int32_t input_zero_point = 0; input_zero_point <= 255; input_zero_point += 51) {
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|         GlobalAveragePoolingOperatorTester()
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|           .batch_size(1)
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|           .width(width)
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|           .channels(channels)
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|           .input_zero_point(uint8_t(input_zero_point))
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|           .TestNWCxQU8();
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|       }
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_small_width_with_output_scale) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = 1; width <= spatial_tile; width++) {
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|       for (float output_scale = 0.01f; output_scale < 100.0f; output_scale *= 3.14159265f) {
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|         GlobalAveragePoolingOperatorTester()
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|           .batch_size(1)
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|           .width(width)
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|           .channels(channels)
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|           .output_scale(output_scale)
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|           .TestNWCxQU8();
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|       }
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_small_width_with_output_zero_point) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = 1; width <= spatial_tile; width++) {
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|       for (int32_t output_zero_point = 0; output_zero_point <= 255; output_zero_point += 51) {
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|         GlobalAveragePoolingOperatorTester()
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|           .batch_size(1)
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|           .width(width)
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|           .channels(channels)
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|           .output_zero_point(uint8_t(output_zero_point))
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|           .TestNWCxQU8();
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|       }
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_small_width_with_qmin) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = 1; width <= spatial_tile; width++) {
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|       GlobalAveragePoolingOperatorTester()
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|         .batch_size(1)
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|         .width(width)
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|         .channels(channels)
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|         .qmin(128)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_small_width_with_qmax) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = 1; width <= spatial_tile; width++) {
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|       GlobalAveragePoolingOperatorTester()
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|         .batch_size(1)
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|         .width(width)
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|         .channels(channels)
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|         .qmax(128)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_large_width) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
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|       GlobalAveragePoolingOperatorTester()
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|         .batch_size(1)
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|         .width(width)
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|         .channels(channels)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_large_width_with_input_stride) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
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|       GlobalAveragePoolingOperatorTester()
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|         .batch_size(1)
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|         .width(width)
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|         .channels(channels)
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|         .input_stride(5 * channels)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_large_width_with_input_scale) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
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|       for (float input_scale = 0.01f; input_scale < 100.0f; input_scale *= 3.14159265f) {
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|         GlobalAveragePoolingOperatorTester()
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|           .batch_size(1)
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|           .width(width)
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|           .channels(channels)
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|           .input_scale(input_scale)
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|           .TestNWCxQU8();
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|       }
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_large_width_with_input_zero_point) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
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|       for (int32_t input_zero_point = 0; input_zero_point <= 255; input_zero_point += 51) {
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|         GlobalAveragePoolingOperatorTester()
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|           .batch_size(1)
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|           .width(width)
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|           .channels(channels)
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|           .input_zero_point(uint8_t(input_zero_point))
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|           .TestNWCxQU8();
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|       }
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_large_width_with_output_scale) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
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|       for (float output_scale = 0.01f; output_scale < 100.0f; output_scale *= 3.14159265f) {
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|         GlobalAveragePoolingOperatorTester()
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|           .batch_size(1)
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|           .width(width)
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|           .channels(channels)
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|           .output_scale(output_scale)
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|           .TestNWCxQU8();
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|       }
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_large_width_with_output_zero_point) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
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|       for (int32_t output_zero_point = 0; output_zero_point <= 255; output_zero_point += 51) {
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|         GlobalAveragePoolingOperatorTester()
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|           .batch_size(1)
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|           .width(width)
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|           .channels(channels)
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|           .output_zero_point(uint8_t(output_zero_point))
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|           .TestNWCxQU8();
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|       }
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_large_width_with_qmin) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
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|       GlobalAveragePoolingOperatorTester()
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|         .batch_size(1)
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|         .width(width)
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|         .channels(channels)
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|         .qmin(128)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, unit_batch_large_width_with_qmax) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
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|       GlobalAveragePoolingOperatorTester()
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|         .batch_size(1)
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|         .width(width)
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|         .channels(channels)
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|         .qmax(128)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, small_batch_small_width) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
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|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = 1; width <= spatial_tile; width++) {
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|       GlobalAveragePoolingOperatorTester()
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|         .batch_size(3)
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|         .width(width)
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|         .channels(channels)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, small_batch_small_width_with_input_stride) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
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|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
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|     for (size_t width = 1; width <= spatial_tile; width++) {
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|       GlobalAveragePoolingOperatorTester()
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|         .batch_size(3)
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|         .width(width)
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|         .channels(channels)
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|         .input_stride(5 * channels)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, small_batch_small_width_with_output_stride) {
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|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
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|         .width(width)
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|         .channels(channels)
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|         .output_stride(5 * channels)
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|         .TestNWCxQU8();
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|     }
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|   }
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| }
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| 
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| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, small_batch_large_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
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|         .channels(channels)
 | |
|         .TestNWCxQU8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, small_batch_large_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxQU8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QU8, small_batch_large_width_with_output_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qu8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .output_stride(5 * channels)
 | |
|         .TestNWCxQU8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_small_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_small_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_small_width_with_input_scale) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       for (float input_scale = 0.01f; input_scale < 100.0f; input_scale *= 3.14159265f) {
 | |
|         GlobalAveragePoolingOperatorTester()
 | |
|           .batch_size(1)
 | |
|           .width(width)
 | |
|           .channels(channels)
 | |
|           .input_scale(input_scale)
 | |
|           .TestNWCxQS8();
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_small_width_with_input_zero_point) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       for (int32_t input_zero_point = 0; input_zero_point <= 255; input_zero_point += 51) {
 | |
|         GlobalAveragePoolingOperatorTester()
 | |
|           .batch_size(1)
 | |
|           .width(width)
 | |
|           .channels(channels)
 | |
|           .input_zero_point(uint8_t(input_zero_point))
 | |
|           .TestNWCxQS8();
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_small_width_with_output_scale) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       for (float output_scale = 0.01f; output_scale < 100.0f; output_scale *= 3.14159265f) {
 | |
|         GlobalAveragePoolingOperatorTester()
 | |
|           .batch_size(1)
 | |
|           .width(width)
 | |
|           .channels(channels)
 | |
|           .output_scale(output_scale)
 | |
|           .TestNWCxQS8();
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_small_width_with_output_zero_point) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       for (int32_t output_zero_point = 0; output_zero_point <= 255; output_zero_point += 51) {
 | |
|         GlobalAveragePoolingOperatorTester()
 | |
|           .batch_size(1)
 | |
|           .width(width)
 | |
|           .channels(channels)
 | |
|           .output_zero_point(uint8_t(output_zero_point))
 | |
|           .TestNWCxQS8();
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_small_width_with_qmin) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmin(128)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_small_width_with_qmax) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmax(128)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_large_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_large_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_large_width_with_input_scale) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       for (float input_scale = 0.01f; input_scale < 100.0f; input_scale *= 3.14159265f) {
 | |
|         GlobalAveragePoolingOperatorTester()
 | |
|           .batch_size(1)
 | |
|           .width(width)
 | |
|           .channels(channels)
 | |
|           .input_scale(input_scale)
 | |
|           .TestNWCxQS8();
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_large_width_with_input_zero_point) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       for (int32_t input_zero_point = 0; input_zero_point <= 255; input_zero_point += 51) {
 | |
|         GlobalAveragePoolingOperatorTester()
 | |
|           .batch_size(1)
 | |
|           .width(width)
 | |
|           .channels(channels)
 | |
|           .input_zero_point(uint8_t(input_zero_point))
 | |
|           .TestNWCxQS8();
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_large_width_with_output_scale) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       for (float output_scale = 0.01f; output_scale < 100.0f; output_scale *= 3.14159265f) {
 | |
|         GlobalAveragePoolingOperatorTester()
 | |
|           .batch_size(1)
 | |
|           .width(width)
 | |
|           .channels(channels)
 | |
|           .output_scale(output_scale)
 | |
|           .TestNWCxQS8();
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_large_width_with_output_zero_point) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       for (int32_t output_zero_point = 0; output_zero_point <= 255; output_zero_point += 51) {
 | |
|         GlobalAveragePoolingOperatorTester()
 | |
|           .batch_size(1)
 | |
|           .width(width)
 | |
|           .channels(channels)
 | |
|           .output_zero_point(uint8_t(output_zero_point))
 | |
|           .TestNWCxQS8();
 | |
|       }
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_large_width_with_qmin) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmin(128)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, unit_batch_large_width_with_qmax) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmax(128)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, small_batch_small_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, small_batch_small_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, small_batch_small_width_with_output_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .output_stride(5 * channels)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, small_batch_large_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, small_batch_large_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_QS8, small_batch_large_width_with_output_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.qs8.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .output_stride(5 * channels)
 | |
|         .TestNWCxQS8();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, unit_batch_small_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, unit_batch_small_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, unit_batch_small_width_with_qmin) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmin(128)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, unit_batch_small_width_with_qmax) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmax(128)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, unit_batch_large_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, unit_batch_large_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, unit_batch_large_width_with_qmin) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmin(128)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, unit_batch_large_width_with_qmax) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmax(128)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, small_batch_small_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, small_batch_small_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, small_batch_small_width_with_output_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .output_stride(5 * channels)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, small_batch_large_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, small_batch_large_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F16, small_batch_large_width_with_output_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f16.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .output_stride(5 * channels)
 | |
|         .TestNWCxF16();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, unit_batch_small_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, unit_batch_small_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, unit_batch_small_width_with_qmin) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmin(128)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, unit_batch_small_width_with_qmax) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmax(128)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, unit_batch_large_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, unit_batch_large_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, unit_batch_large_width_with_qmin) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmin(128)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, unit_batch_large_width_with_qmax) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(1)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .qmax(128)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, small_batch_small_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, small_batch_small_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, small_batch_small_width_with_output_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = 1; width <= spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .output_stride(5 * channels)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, small_batch_large_width) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, small_batch_large_width_with_input_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .input_stride(5 * channels)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 | |
| 
 | |
| TEST(GLOBAL_AVERAGE_POOLING_NWC_F32, small_batch_large_width_with_output_stride) {
 | |
|   ASSERT_EQ(xnn_status_success, xnn_initialize(nullptr /* allocator */));
 | |
|   const uint32_t spatial_tile = std::max<uint32_t>(xnn_params.f32.gavgpool.row_tile, 1);
 | |
|   for (size_t channels = 1; channels <= 100; channels += 15) {
 | |
|     for (size_t width = spatial_tile; width <= 4 * spatial_tile; width++) {
 | |
|       GlobalAveragePoolingOperatorTester()
 | |
|         .batch_size(3)
 | |
|         .width(width)
 | |
|         .channels(channels)
 | |
|         .output_stride(5 * channels)
 | |
|         .TestNWCxF32();
 | |
|     }
 | |
|   }
 | |
| }
 |