0d87df40c2
This includes the simulator, PPC64 Linux (little endian) and PPC64 AIX (Big endian) running on P9. Also enable the related simd tests for PPC64. Qfma opcodes are added to the selector as part of the enablement. Change-Id: Idf2bf2eaa9cee489e7315031976bc412358b9868 Reviewed-on: https://chromium-review.googlesource.com/c/v8/v8/+/2799942 Reviewed-by: Zhi An Ng <zhin@chromium.org> Reviewed-by: Deepti Gandluri <gdeepti@chromium.org> Reviewed-by: Junliang Yan <junyan@redhat.com> Commit-Queue: Milad Fa <mfarazma@redhat.com> Cr-Commit-Position: refs/heads/master@{#73782}
240 lines
9.7 KiB
C++
240 lines
9.7 KiB
C++
// Copyright 2021 the V8 project authors. All rights reserved.
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// Use of this source code is governed by a BSD-style license that can be
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// found in the LICENSE file.
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#include "src/base/overflowing-math.h"
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#include "src/wasm/compilation-environment.h"
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#include "test/cctest/cctest.h"
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#include "test/cctest/wasm/wasm-run-utils.h"
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#include "test/cctest/wasm/wasm-simd-utils.h"
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#include "test/common/wasm/flag-utils.h"
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#include "test/common/wasm/wasm-macro-gen.h"
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namespace v8 {
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namespace internal {
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namespace wasm {
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namespace test_run_wasm_relaxed_simd {
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// Use this for experimental relaxed-simd opcodes.
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#define WASM_RELAXED_SIMD_TEST(name) \
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void RunWasm_##name##_Impl(LowerSimd lower_simd, \
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TestExecutionTier execution_tier); \
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TEST(RunWasm_##name##_turbofan) { \
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if (!CpuFeatures::SupportsWasmSimd128()) return; \
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EXPERIMENTAL_FLAG_SCOPE(relaxed_simd); \
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RunWasm_##name##_Impl(kNoLowerSimd, TestExecutionTier::kTurbofan); \
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} \
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TEST(RunWasm_##name##_interpreter) { \
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EXPERIMENTAL_FLAG_SCOPE(relaxed_simd); \
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RunWasm_##name##_Impl(kNoLowerSimd, TestExecutionTier::kInterpreter); \
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} \
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void RunWasm_##name##_Impl(LowerSimd lower_simd, \
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TestExecutionTier execution_tier)
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#if V8_TARGET_ARCH_X64 || V8_TARGET_ARCH_ARM64 || V8_TARGET_ARCH_S390X || \
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V8_TARGET_ARCH_PPC64
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// Only used for qfma and qfms tests below.
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// FMOperation holds the params (a, b, c) for a Multiply-Add or
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// Multiply-Subtract operation, and the expected result if the operation was
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// fused, rounded only once for the entire operation, or unfused, rounded after
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// multiply and again after add/subtract.
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template <typename T>
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struct FMOperation {
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const T a;
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const T b;
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const T c;
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const T fused_result;
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const T unfused_result;
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};
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// large_n is large number that overflows T when multiplied by itself, this is a
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// useful constant to test fused/unfused behavior.
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template <typename T>
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constexpr T large_n = T(0);
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template <>
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constexpr double large_n<double> = 1e200;
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template <>
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constexpr float large_n<float> = 1e20;
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// Fused Multiply-Add performs a + b * c.
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template <typename T>
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static constexpr FMOperation<T> qfma_array[] = {
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{1.0f, 2.0f, 3.0f, 7.0f, 7.0f},
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// fused: a + b * c = -inf + (positive overflow) = -inf
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// unfused: a + b * c = -inf + inf = NaN
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{-std::numeric_limits<T>::infinity(), large_n<T>, large_n<T>,
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-std::numeric_limits<T>::infinity(), std::numeric_limits<T>::quiet_NaN()},
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// fused: a + b * c = inf + (negative overflow) = inf
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// unfused: a + b * c = inf + -inf = NaN
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{std::numeric_limits<T>::infinity(), -large_n<T>, large_n<T>,
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std::numeric_limits<T>::infinity(), std::numeric_limits<T>::quiet_NaN()},
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// NaN
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{std::numeric_limits<T>::quiet_NaN(), 2.0f, 3.0f,
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std::numeric_limits<T>::quiet_NaN(), std::numeric_limits<T>::quiet_NaN()},
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// -NaN
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{-std::numeric_limits<T>::quiet_NaN(), 2.0f, 3.0f,
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std::numeric_limits<T>::quiet_NaN(), std::numeric_limits<T>::quiet_NaN()}};
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template <typename T>
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static constexpr Vector<const FMOperation<T>> qfma_vector() {
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return ArrayVector(qfma_array<T>);
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}
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// Fused Multiply-Subtract performs a - b * c.
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template <typename T>
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static constexpr FMOperation<T> qfms_array[]{
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{1.0f, 2.0f, 3.0f, -5.0f, -5.0f},
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// fused: a - b * c = inf - (positive overflow) = inf
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// unfused: a - b * c = inf - inf = NaN
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{std::numeric_limits<T>::infinity(), large_n<T>, large_n<T>,
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std::numeric_limits<T>::infinity(), std::numeric_limits<T>::quiet_NaN()},
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// fused: a - b * c = -inf - (negative overflow) = -inf
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// unfused: a - b * c = -inf - -inf = NaN
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{-std::numeric_limits<T>::infinity(), -large_n<T>, large_n<T>,
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-std::numeric_limits<T>::infinity(), std::numeric_limits<T>::quiet_NaN()},
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// NaN
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{std::numeric_limits<T>::quiet_NaN(), 2.0f, 3.0f,
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std::numeric_limits<T>::quiet_NaN(), std::numeric_limits<T>::quiet_NaN()},
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// -NaN
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{-std::numeric_limits<T>::quiet_NaN(), 2.0f, 3.0f,
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std::numeric_limits<T>::quiet_NaN(), std::numeric_limits<T>::quiet_NaN()}};
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template <typename T>
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static constexpr Vector<const FMOperation<T>> qfms_vector() {
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return ArrayVector(qfms_array<T>);
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}
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// Fused results only when fma3 feature is enabled, and running on TurboFan or
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// Liftoff (which can fall back to TurboFan if FMA is not implemented).
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bool ExpectFused(TestExecutionTier tier) {
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#ifdef V8_TARGET_ARCH_X64
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return CpuFeatures::IsSupported(FMA3) &&
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(tier == TestExecutionTier::kTurbofan ||
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tier == TestExecutionTier::kLiftoff);
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#else
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return (tier == TestExecutionTier::kTurbofan ||
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tier == TestExecutionTier::kLiftoff);
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#endif
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}
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#endif // V8_TARGET_ARCH_X64 || V8_TARGET_ARCH_ARM64 || V8_TARGET_ARCH_S390X ||
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// V8_TARGET_ARCH_PPC64
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#if V8_TARGET_ARCH_X64 || V8_TARGET_ARCH_ARM64 || V8_TARGET_ARCH_S390X || \
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V8_TARGET_ARCH_PPC64
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WASM_RELAXED_SIMD_TEST(F32x4Qfma) {
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WasmRunner<int32_t, float, float, float> r(execution_tier, lower_simd);
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// Set up global to hold mask output.
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float* g = r.builder().AddGlobal<float>(kWasmS128);
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// Build fn to splat test values, perform compare op, and write the result.
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byte value1 = 0, value2 = 1, value3 = 2;
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BUILD(r,
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WASM_GLOBAL_SET(0, WASM_SIMD_F32x4_QFMA(
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WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value1)),
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WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value2)),
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WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value3)))),
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WASM_ONE);
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for (FMOperation<float> x : qfma_vector<float>()) {
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r.Call(x.a, x.b, x.c);
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float expected =
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ExpectFused(execution_tier) ? x.fused_result : x.unfused_result;
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for (int i = 0; i < 4; i++) {
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float actual = ReadLittleEndianValue<float>(&g[i]);
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CheckFloatResult(x.a, x.b, expected, actual, true /* exact */);
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}
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}
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}
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WASM_RELAXED_SIMD_TEST(F32x4Qfms) {
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WasmRunner<int32_t, float, float, float> r(execution_tier, lower_simd);
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// Set up global to hold mask output.
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float* g = r.builder().AddGlobal<float>(kWasmS128);
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// Build fn to splat test values, perform compare op, and write the result.
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byte value1 = 0, value2 = 1, value3 = 2;
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BUILD(r,
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WASM_GLOBAL_SET(0, WASM_SIMD_F32x4_QFMS(
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WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value1)),
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WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value2)),
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WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value3)))),
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WASM_ONE);
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for (FMOperation<float> x : qfms_vector<float>()) {
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r.Call(x.a, x.b, x.c);
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float expected =
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ExpectFused(execution_tier) ? x.fused_result : x.unfused_result;
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for (int i = 0; i < 4; i++) {
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float actual = ReadLittleEndianValue<float>(&g[i]);
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CheckFloatResult(x.a, x.b, expected, actual, true /* exact */);
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}
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}
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}
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WASM_RELAXED_SIMD_TEST(F64x2Qfma) {
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WasmRunner<int32_t, double, double, double> r(execution_tier, lower_simd);
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// Set up global to hold mask output.
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double* g = r.builder().AddGlobal<double>(kWasmS128);
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// Build fn to splat test values, perform compare op, and write the result.
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byte value1 = 0, value2 = 1, value3 = 2;
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BUILD(r,
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WASM_GLOBAL_SET(0, WASM_SIMD_F64x2_QFMA(
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WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value1)),
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WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value2)),
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WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value3)))),
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WASM_ONE);
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for (FMOperation<double> x : qfma_vector<double>()) {
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r.Call(x.a, x.b, x.c);
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double expected =
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ExpectFused(execution_tier) ? x.fused_result : x.unfused_result;
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for (int i = 0; i < 2; i++) {
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double actual = ReadLittleEndianValue<double>(&g[i]);
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CheckDoubleResult(x.a, x.b, expected, actual, true /* exact */);
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}
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}
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}
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WASM_RELAXED_SIMD_TEST(F64x2Qfms) {
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WasmRunner<int32_t, double, double, double> r(execution_tier, lower_simd);
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// Set up global to hold mask output.
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double* g = r.builder().AddGlobal<double>(kWasmS128);
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// Build fn to splat test values, perform compare op, and write the result.
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byte value1 = 0, value2 = 1, value3 = 2;
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BUILD(r,
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WASM_GLOBAL_SET(0, WASM_SIMD_F64x2_QFMS(
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WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value1)),
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WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value2)),
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WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value3)))),
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WASM_ONE);
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for (FMOperation<double> x : qfms_vector<double>()) {
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r.Call(x.a, x.b, x.c);
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double expected =
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ExpectFused(execution_tier) ? x.fused_result : x.unfused_result;
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for (int i = 0; i < 2; i++) {
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double actual = ReadLittleEndianValue<double>(&g[i]);
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CheckDoubleResult(x.a, x.b, expected, actual, true /* exact */);
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}
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}
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}
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#endif // V8_TARGET_ARCH_X64 || V8_TARGET_ARCH_ARM64 || V8_TARGET_ARCH_S390X ||
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// V8_TARGET_ARCH_PPC64
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WASM_RELAXED_SIMD_TEST(F32x4RecipApprox) {
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RunF32x4UnOpTest(execution_tier, lower_simd, kExprF32x4RecipApprox,
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base::Recip, false /* !exact */);
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}
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WASM_RELAXED_SIMD_TEST(F32x4RecipSqrtApprox) {
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RunF32x4UnOpTest(execution_tier, lower_simd, kExprF32x4RecipSqrtApprox,
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base::RecipSqrt, false /* !exact */);
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}
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#undef WASM_RELAXED_SIMD_TEST
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} // namespace test_run_wasm_relaxed_simd
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} // namespace wasm
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} // namespace internal
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} // namespace v8
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