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326 lines
10 KiB
326 lines
10 KiB
// 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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// Auto-generated file. Do not edit!
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// Specification: test/f16-vmulcaddc-minmax.yaml
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// Generator: tools/generate-vmulcaddc-test.py
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#include <gtest/gtest.h>
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#include <xnnpack/common.h>
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#include <xnnpack/isa-checks.h>
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#include <xnnpack/vmulcaddc.h>
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#include "vmulcaddc-microkernel-tester.h"
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#if XNN_ARCH_ARM64
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, channels_eq_8) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(8)
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.rows(2)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, channels_div_8) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t channels = 16; channels < 80; channels += 8) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(2)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, channels_lt_8) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t channels = 1; channels < 8; channels++) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(2)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, channels_gt_8) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t channels = 9; channels < 16; channels++) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(2)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, rows_lt_2) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows < 2; rows++) {
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for (size_t channels = 1; channels <= 40; channels += 7) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(rows)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, rows_div_2) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 4; rows <= 8; rows += 2) {
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for (size_t channels = 1; channels <= 40; channels += 7) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(rows)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, rows_gt_2) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 3; rows < 4; rows++) {
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for (size_t channels = 1; channels <= 40; channels += 7) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(rows)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, input_stride) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows <= 6; rows += 1) {
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for (size_t channels = 1; channels <= 40; channels += 7) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(rows)
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.input_stride(43)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, output_stride) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows <= 6; rows += 1) {
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for (size_t channels = 1; channels <= 40; channels += 7) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(rows)
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.output_stride(43)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, inplace) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows <= 6; rows += 1) {
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for (size_t channels = 1; channels <= 40; channels += 7) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(rows)
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.inplace(true)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, qmin) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows <= 6; rows += 1) {
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for (size_t channels = 1; channels <= 40; channels += 7) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(rows)
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.qmin(128)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C8__NEONFP16ARITH_2X, qmax) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows <= 6; rows += 1) {
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for (size_t channels = 1; channels <= 40; channels += 7) {
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VMulCAddCMicrokernelTester()
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.channel_tile(8)
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.channels(channels)
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.rows(rows)
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.qmax(128)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c8__neonfp16arith_2x);
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}
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}
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}
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#endif // XNN_ARCH_ARM64
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#if XNN_ARCH_ARM64
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, channels_eq_16) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(16)
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.rows(2)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, channels_div_16) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t channels = 32; channels < 160; channels += 16) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(2)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, channels_lt_16) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t channels = 1; channels < 16; channels++) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(2)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, channels_gt_16) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t channels = 17; channels < 32; channels++) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(2)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, rows_lt_2) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows < 2; rows++) {
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for (size_t channels = 1; channels <= 80; channels += 15) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(rows)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, rows_div_2) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 4; rows <= 8; rows += 2) {
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for (size_t channels = 1; channels <= 80; channels += 15) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(rows)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, rows_gt_2) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 3; rows < 4; rows++) {
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for (size_t channels = 1; channels <= 80; channels += 15) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(rows)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, input_stride) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows <= 6; rows += 1) {
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for (size_t channels = 1; channels <= 80; channels += 15) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(rows)
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.input_stride(83)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, output_stride) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows <= 6; rows += 1) {
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for (size_t channels = 1; channels <= 80; channels += 15) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(rows)
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.output_stride(83)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, inplace) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows <= 6; rows += 1) {
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for (size_t channels = 1; channels <= 80; channels += 15) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(rows)
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.inplace(true)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, qmin) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows <= 6; rows += 1) {
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for (size_t channels = 1; channels <= 80; channels += 15) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(rows)
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.qmin(128)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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}
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TEST(F16_VMULCADDC_MINMAX_C16__NEONFP16ARITH_2X, qmax) {
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TEST_REQUIRES_ARM_NEON_FP16_ARITH;
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for (size_t rows = 1; rows <= 6; rows += 1) {
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for (size_t channels = 1; channels <= 80; channels += 15) {
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VMulCAddCMicrokernelTester()
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.channel_tile(16)
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.channels(channels)
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.rows(rows)
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.qmax(128)
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.Test(xnn_f16_vmulcaddc_minmax_ukernel_c16__neonfp16arith_2x);
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}
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}
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}
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#endif // XNN_ARCH_ARM64
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