// 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-vmulcaddc-minmax.yaml // Generator: tools/generate-vmulcaddc-test.py #include #include #include #include #include "vmulcaddc-microkernel-tester.h" #if XNN_ARCH_ARM64 TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, channels_eq_8) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; VMulCAddCMicrokernelTester() .channel_tile(8) .channels(8) .rows(2) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, channels_div_8) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t channels = 16; channels < 80; channels += 8) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(2) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, channels_lt_8) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t channels = 1; channels < 8; channels++) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(2) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, channels_gt_8) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t channels = 9; channels < 16; channels++) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(2) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, rows_lt_2) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows < 2; rows++) { for (size_t channels = 1; channels <= 40; channels += 7) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(rows) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, rows_div_2) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 4; rows <= 8; rows += 2) { for (size_t channels = 1; channels <= 40; channels += 7) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(rows) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, rows_gt_2) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 3; rows < 4; rows++) { for (size_t channels = 1; channels <= 40; channels += 7) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(rows) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, input_stride) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows <= 6; rows += 1) { for (size_t channels = 1; channels <= 40; channels += 7) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(rows) .input_stride(43) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, output_stride) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows <= 6; rows += 1) { for (size_t channels = 1; channels <= 40; channels += 7) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(rows) .output_stride(43) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, inplace) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows <= 6; rows += 1) { for (size_t channels = 1; channels <= 40; channels += 7) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(rows) .inplace(true) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, qmin) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows <= 6; rows += 1) { for (size_t channels = 1; channels <= 40; channels += 7) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(rows) .qmin(128) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, qmax) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows <= 6; rows += 1) { for (size_t channels = 1; channels <= 40; channels += 7) { VMulCAddCMicrokernelTester() .channel_tile(8) .channels(channels) .rows(rows) .qmax(128) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x); } } } #endif // XNN_ARCH_ARM64 #if XNN_ARCH_ARM64 TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, channels_eq_16) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; VMulCAddCMicrokernelTester() .channel_tile(16) .channels(16) .rows(2) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, channels_div_16) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t channels = 32; channels < 160; channels += 16) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(2) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, channels_lt_16) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t channels = 1; channels < 16; channels++) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(2) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, channels_gt_16) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t channels = 17; channels < 32; channels++) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(2) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, rows_lt_2) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows < 2; rows++) { for (size_t channels = 1; channels <= 80; channels += 15) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(rows) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, rows_div_2) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 4; rows <= 8; rows += 2) { for (size_t channels = 1; channels <= 80; channels += 15) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(rows) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, rows_gt_2) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 3; rows < 4; rows++) { for (size_t channels = 1; channels <= 80; channels += 15) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(rows) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, input_stride) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows <= 6; rows += 1) { for (size_t channels = 1; channels <= 80; channels += 15) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(rows) .input_stride(83) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, output_stride) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows <= 6; rows += 1) { for (size_t channels = 1; channels <= 80; channels += 15) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(rows) .output_stride(83) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, inplace) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows <= 6; rows += 1) { for (size_t channels = 1; channels <= 80; channels += 15) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(rows) .inplace(true) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, qmin) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows <= 6; rows += 1) { for (size_t channels = 1; channels <= 80; channels += 15) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(rows) .qmin(128) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } } TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, qmax) { TEST_REQUIRES_ARM_NEON_FP16_ARITH; for (size_t rows = 1; rows <= 6; rows += 1) { for (size_t channels = 1; channels <= 80; channels += 15) { VMulCAddCMicrokernelTester() .channel_tile(16) .channels(channels) .rows(rows) .qmax(128) .Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x); } } } #endif // XNN_ARCH_ARM64