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xiongying/Halide

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xtensa-codegen
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main
分支 (1093)
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main
xtensa-codegen
vksnk/dma-limit-channels
rootjalex/trs-codegen-cross
abadams/fix_7374
abadams/remove_hack_from_gpu_only_aottest
srj/gpu-cache
srj/generator_aot_gpu_multi_context_threaded
srj/xtensa-merge
abadams/vector_scan
abadams/fix_7365
darya-ver/ir-viz
vulkan-phase2-runtime
srj/param-map-deprecation
srj/rt-return-types
srj/main-vs2022
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srj/param-map
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main
分支 (1093)
标签 (17)
main
xtensa-codegen
vksnk/dma-limit-channels
rootjalex/trs-codegen-cross
abadams/fix_7374
abadams/remove_hack_from_gpu_only_aottest
srj/gpu-cache
srj/generator_aot_gpu_multi_context_threaded
srj/xtensa-merge
abadams/vector_scan
abadams/fix_7365
darya-ver/ir-viz
vulkan-phase2-runtime
srj/param-map-deprecation
srj/rt-return-types
srj/main-vs2022
release/15.x
srj/param-map
abadams/ir_builder_unique_ptr
vksnk/restrict
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v13.0.4
v13.0.3
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v13.0.1
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release_2019_08_27
release_8.0.0
v8.0.0
release_2018_02_15
release_2013_11_11
Halide
/
src
/
EmulateFloat16Math.cpp
Halide
/
src
/
EmulateFloat16Math.cpp
EmulateFloat16Math.cpp 6.36 KB
一键复制 编辑 原始数据 按行查看 历史
#include "EmulateFloat16Math.h"
#include "CSE.h"
#include "IRMutator.h"
#include "IROperator.h"
#include "Lerp.h"
#include "Simplify.h"
namespace Halide {
namespace Internal {
Expr bfloat16_to_float32(Expr e) {
if (e.type().is_bfloat()) {
e = reinterpret(e.type().with_code(Type::UInt), e);
}
e = cast(UInt(32, e.type().lanes()), e);
e = e << 16;
e = reinterpret(Float(32, e.type().lanes()), e);
e = strict_float(e);
return e;
}
Expr float32_to_bfloat16(Expr e) {
internal_assert(e.type().bits() == 32);
e = strict_float(e);
e = reinterpret(UInt(32, e.type().lanes()), e);
// We want to round ties to even, so before truncating either
// add 0x8000 (0.5) to odd numbers or 0x7fff (0.499999) to
// even numbers.
e += 0x7fff + ((e >> 16) & 1);
e = (e >> 16);
e = cast(UInt(16, e.type().lanes()), e);
e = reinterpret(BFloat(16, e.type().lanes()), e);
return e;
}
Expr float16_to_float32(Expr value) {
value = strict_float(value);
Type f32_t = Float(32, value.type().lanes());
Type u32_t = UInt(32, value.type().lanes());
Type u16_t = UInt(16, value.type().lanes());
Expr f16_bits = value;
if (!(value.type() == u16_t)) {
f16_bits = reinterpret(u16_t, f16_bits);
}
Expr magnitude = f16_bits & make_const(u16_t, 0x7fff);
Expr sign = f16_bits & make_const(u16_t, 0x8000);
// Denorms are linearly spaced, so we should just use an
// int->float cast and then scale down by reducing the
// exponent.
Expr denorm = reinterpret(u32_t, strict_float(cast(f32_t, magnitude))) - 0x0c000000;
Expr exponent_mantissa = cast(u32_t, magnitude) << 13;
exponent_mantissa = select(magnitude == 0, 0,
magnitude < 0x0400, denorm, // denorms
magnitude >= 0x7c00, exponent_mantissa | 0x7f800000, // Map infinity to infinity
exponent_mantissa + 0x38000000); // Fix the exponent bias otherwise
Expr f32 = strict_float(reinterpret(f32_t, (cast(u32_t, sign) << 16) | exponent_mantissa));
f32 = common_subexpression_elimination(f32);
return f32;
}
Expr float32_to_float16(Expr value) {
// We're about the sniff the bits of a float, so we should
// guard it with strict float to ensure we don't do things
// like assume it can't be denormal.
value = strict_float(value);
Type f32_t = Float(32, value.type().lanes());
Type f16_t = Float(16, value.type().lanes());
Type u32_t = UInt(32, value.type().lanes());
Type u16_t = UInt(16, value.type().lanes());
Expr bits = reinterpret(u32_t, value);
// Extract the sign bit
Expr sign = bits & make_const(u32_t, 0x80000000);
bits = bits ^ sign;
// Test the endpoints
Expr is_denorm = (bits < make_const(u32_t, 0x38800000));
Expr is_inf = (bits >= make_const(u32_t, 0x47800000));
Expr is_nan = (bits > make_const(u32_t, 0x7f800000));
// Denorms are linearly spaced, so we can handle them
// by scaling up the input as a float and using the
// existing int-conversion rounding instructions.
Expr denorm_bits = cast(u16_t, strict_float(round(strict_float(reinterpret(f32_t, bits + 0x0c000000)))));
Expr inf_bits = make_const(u16_t, 0x7c00);
Expr nan_bits = make_const(u16_t, 0x7fff);
// We want to round to nearest even, so we add either
// 0.5 if the integer part is odd, or 0.4999999 if the
// integer part is even, then truncate.
bits += (bits >> 13) & 1;
bits += 0xfff;
bits = bits >> 13;
// Rebias the exponent
bits -= 0x1c000;
// Truncate the top bits of the exponent
bits = bits & 0x7fff;
bits = select(is_denorm, denorm_bits,
is_inf, inf_bits,
is_nan, nan_bits,
cast(u16_t, bits));
// Recover the sign bit
bits = bits | cast(u16_t, sign >> 16);
return common_subexpression_elimination(reinterpret(f16_t, bits));
}
namespace {
const std::map<std::string, std::string> transcendental_remapping =
{{"sin_f16", "sin_f32"},
{"asin_f16", "asin_f32"},
{"cos_f16", "cos_f32"},
{"acos_f16", "acos_f32"},
{"tan_f16", "tan_f32"},
{"atan_f16", "atan_f32"},
{"atan2_f16", "atan2_f32"},
{"sinh_f16", "sinh_f32"},
{"asinh_f16", "asinh_f32"},
{"cosh_f16", "cosh_f32"},
{"acosh_f16", "acosh_f32"},
{"tanh_f16", "tanh_f32"},
{"atanh_f16", "atanh_f32"},
{"sqrt_f16", "sqrt_f32"},
{"exp_f16", "exp_f32"},
{"log_f16", "log_f32"},
{"pow_f16", "pow_f32"},
{"floor_f16", "floor_f32"},
{"ceil_f16", "ceil_f32"},
{"round_f16", "round_f32"},
{"trunc_f16", "trunc_f32"},
{"is_nan_f16", "is_nan_f32"},
{"is_inf_f16", "is_inf_f32"},
{"is_finite_f16", "is_finite_f32"}};
} // anonymous namespace
bool is_float16_transcendental(const Call *op) {
return transcendental_remapping.find(op->name) != transcendental_remapping.end();
}
Expr lower_float16_transcendental_to_float32_equivalent(const Call *op) {
auto it = transcendental_remapping.find(op->name);
if (it != transcendental_remapping.end()) {
std::vector<Expr> new_args(op->args.size());
for (size_t i = 0; i < op->args.size(); i++) {
new_args[i] = float16_to_float32(op->args[i]);
}
Expr e = Call::make(Float(32, op->type.lanes()), it->second, new_args, op->call_type,
op->func, op->value_index, op->image, op->param);
return float32_to_float16(e);
} else {
internal_error << "Unknown float16 transcendental: " << Expr(op) << "\n";
return Expr();
}
}
Expr lower_float16_cast(const Cast *op) {
Type src = op->value.type();
Type dst = op->type;
Type f32 = Float(32, dst.lanes());
Expr val = op->value;
if (src.is_bfloat()) {
internal_assert(src.bits() == 16);
val = bfloat16_to_float32(val);
} else if (src.is_float() && src.bits() < 32) {
internal_assert(src.bits() == 16);
val = float16_to_float32(val);
}
if (dst.is_bfloat()) {
internal_assert(dst.bits() == 16);
val = float32_to_bfloat16(cast(f32, val));
} else if (dst.is_float() && dst.bits() < 32) {
internal_assert(dst.bits() == 16);
val = float32_to_float16(cast(f32, val));
}
return cast(dst, val);
}
} // namespace Internal
} // namespace Halide
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简介

MIT计算机科学和人工智能实验室的研究人员创造出一种专门设计简化图像处理的程序语言Halide,源代码托管在GitHub上,目前二进制程序只支持Mac OS X和Ubuntu 12
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