| // Copyright 2020 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. |
| // |
| // Auto-generated file. Do not edit! |
| // Specification: test/f16-ibilinear-chw.yaml |
| // Generator: tools/generate-ibilinear-chw-test.py |
| |
| |
| #include <gtest/gtest.h> |
| |
| #include <xnnpack/common.h> |
| #include <xnnpack/isa-checks.h> |
| |
| #include <xnnpack/ibilinear.h> |
| #include "ibilinear-microkernel-tester.h" |
| |
| |
| #if XNN_ENABLE_ARM_FP16 && (XNN_ARCH_ARM || XNN_ARCH_ARM64) |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P4, pixels_eq_4) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| IBilinearMicrokernelTester() |
| .pixels(4) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p4); |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P4, pixels_div_4) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 8; pixels < 40; pixels += 4) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p4); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P4, pixels_lt_4) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 4; pixels++) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p4); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P4, pixels_gt_4) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 5; pixels < 8; pixels++) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p4); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P4, channels_eq_1) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels <= 20; pixels += 3) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p4); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P4, channels_gt_1) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t channels = 2; channels < 3; channels++) { |
| for (size_t pixels = 1; pixels <= 20; pixels += 3) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p4); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P4, input_offset) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 20; pixels += 3) { |
| for (size_t channels = 1; channels <= 5; channels += 1) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .input_offset(7) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p4); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P4, input_stride) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 20; pixels += 3) { |
| for (size_t channels = 1; channels <= 5; channels += 1) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .input_stride(83) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p4); |
| } |
| } |
| } |
| #endif // XNN_ENABLE_ARM_FP16 && (XNN_ARCH_ARM || XNN_ARCH_ARM64) |
| |
| |
| #if XNN_ENABLE_ARM_FP16 && (XNN_ARCH_ARM || XNN_ARCH_ARM64) |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P8, pixels_eq_8) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| IBilinearMicrokernelTester() |
| .pixels(8) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p8); |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P8, pixels_div_8) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 16; pixels < 80; pixels += 8) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p8); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P8, pixels_lt_8) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 8; pixels++) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p8); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P8, pixels_gt_8) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 9; pixels < 16; pixels++) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p8); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P8, channels_eq_1) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels <= 40; pixels += 7) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p8); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P8, channels_gt_1) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t channels = 2; channels < 3; channels++) { |
| for (size_t pixels = 1; pixels <= 40; pixels += 7) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p8); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P8, input_offset) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 40; pixels += 7) { |
| for (size_t channels = 1; channels <= 5; channels += 1) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .input_offset(7) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p8); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P8, input_stride) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 40; pixels += 7) { |
| for (size_t channels = 1; channels <= 5; channels += 1) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .input_stride(163) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p8); |
| } |
| } |
| } |
| #endif // XNN_ENABLE_ARM_FP16 && (XNN_ARCH_ARM || XNN_ARCH_ARM64) |
| |
| |
| #if XNN_ENABLE_ARM_FP16 && (XNN_ARCH_ARM || XNN_ARCH_ARM64) |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P16, pixels_eq_16) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| IBilinearMicrokernelTester() |
| .pixels(16) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p16); |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P16, pixels_div_16) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 32; pixels < 160; pixels += 16) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p16); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P16, pixels_lt_16) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 16; pixels++) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p16); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P16, pixels_gt_16) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 17; pixels < 32; pixels++) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p16); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P16, channels_eq_1) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels <= 80; pixels += 15) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(1) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p16); |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P16, channels_gt_1) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t channels = 2; channels < 3; channels++) { |
| for (size_t pixels = 1; pixels <= 80; pixels += 15) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p16); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P16, input_offset) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 80; pixels += 15) { |
| for (size_t channels = 1; channels <= 5; channels += 1) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .input_offset(7) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p16); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR_CHW__NEONFP16ARITH_P16, input_stride) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 80; pixels += 15) { |
| for (size_t channels = 1; channels <= 5; channels += 1) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .input_stride(331) |
| .TestCHW(xnn_f16_ibilinear_chw_ukernel__neonfp16arith_p16); |
| } |
| } |
| } |
| #endif // XNN_ENABLE_ARM_FP16 && (XNN_ARCH_ARM || XNN_ARCH_ARM64) |