| // 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. |
| // |
| // Auto-generated file. Do not edit! |
| // Specification: test/f16-ibilinear.yaml |
| // Generator: tools/generate-ibilinear-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__NEONFP16ARITH_C8, channels_eq_8) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(8) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c8); |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C8, channels_div_8) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t channels = 16; channels < 80; channels += 8) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c8); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C8, channels_lt_8) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t channels = 1; channels < 8; channels++) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c8); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C8, channels_gt_8) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t channels = 9; channels < 16; channels++) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c8); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C8, pixels_gt_1) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 2; pixels < 3; pixels++) { |
| for (size_t channels = 1; channels <= 40; channels += 7) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c8); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C8, input_offset) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 5; pixels += 1) { |
| for (size_t channels = 1; channels <= 40; channels += 7) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .input_offset(43) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c8); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C8, output_stride) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 5; pixels += 1) { |
| for (size_t channels = 1; channels <= 40; channels += 7) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .output_stride(43) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c8); |
| } |
| } |
| } |
| #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__NEONFP16ARITH_C16, channels_eq_16) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(16) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c16); |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C16, channels_div_16) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t channels = 32; channels < 160; channels += 16) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c16); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C16, channels_lt_16) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t channels = 1; channels < 16; channels++) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c16); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C16, channels_gt_16) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t channels = 17; channels < 32; channels++) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c16); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C16, pixels_gt_1) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 2; pixels < 3; pixels++) { |
| for (size_t channels = 1; channels <= 80; channels += 15) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c16); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C16, input_offset) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 5; pixels += 1) { |
| for (size_t channels = 1; channels <= 80; channels += 15) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .input_offset(83) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c16); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR__NEONFP16ARITH_C16, output_stride) { |
| TEST_REQUIRES_ARM_NEON_FP16_ARITH; |
| for (size_t pixels = 1; pixels < 5; pixels += 1) { |
| for (size_t channels = 1; channels <= 80; channels += 15) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .output_stride(83) |
| .Test(xnn_f16_ibilinear_ukernel__neonfp16arith_c16); |
| } |
| } |
| } |
| #endif // XNN_ENABLE_ARM_FP16 && (XNN_ARCH_ARM || XNN_ARCH_ARM64) |
| |
| |
| #if XNN_ARCH_X86 || XNN_ARCH_X86_64 |
| TEST(F16_IBILINEAR__FMA3_C8, channels_eq_8) { |
| TEST_REQUIRES_X86_FMA3; |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(8) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c8); |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C8, channels_div_8) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t channels = 16; channels < 80; channels += 8) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c8); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C8, channels_lt_8) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t channels = 1; channels < 8; channels++) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c8); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C8, channels_gt_8) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t channels = 9; channels < 16; channels++) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c8); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C8, pixels_gt_1) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t pixels = 2; pixels < 3; pixels++) { |
| for (size_t channels = 1; channels <= 40; channels += 7) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c8); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C8, input_offset) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t pixels = 1; pixels < 5; pixels += 1) { |
| for (size_t channels = 1; channels <= 40; channels += 7) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .input_offset(43) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c8); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C8, output_stride) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t pixels = 1; pixels < 5; pixels += 1) { |
| for (size_t channels = 1; channels <= 40; channels += 7) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .output_stride(43) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c8); |
| } |
| } |
| } |
| #endif // XNN_ARCH_X86 || XNN_ARCH_X86_64 |
| |
| |
| #if XNN_ARCH_X86 || XNN_ARCH_X86_64 |
| TEST(F16_IBILINEAR__FMA3_C16, channels_eq_16) { |
| TEST_REQUIRES_X86_FMA3; |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(16) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c16); |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C16, channels_div_16) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t channels = 32; channels < 160; channels += 16) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c16); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C16, channels_lt_16) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t channels = 1; channels < 16; channels++) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c16); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C16, channels_gt_16) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t channels = 17; channels < 32; channels++) { |
| IBilinearMicrokernelTester() |
| .pixels(1) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c16); |
| } |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C16, pixels_gt_1) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t pixels = 2; pixels < 3; pixels++) { |
| for (size_t channels = 1; channels <= 80; channels += 15) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c16); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C16, input_offset) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t pixels = 1; pixels < 5; pixels += 1) { |
| for (size_t channels = 1; channels <= 80; channels += 15) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .input_offset(83) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c16); |
| } |
| } |
| } |
| |
| TEST(F16_IBILINEAR__FMA3_C16, output_stride) { |
| TEST_REQUIRES_X86_FMA3; |
| for (size_t pixels = 1; pixels < 5; pixels += 1) { |
| for (size_t channels = 1; channels <= 80; channels += 15) { |
| IBilinearMicrokernelTester() |
| .pixels(pixels) |
| .channels(channels) |
| .output_stride(83) |
| .Test(xnn_f16_ibilinear_ukernel__fma3_c16); |
| } |
| } |
| } |
| #endif // XNN_ARCH_X86 || XNN_ARCH_X86_64 |