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Added np.exp2, np.expm1
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4 files changed

+286
-1
lines changed

4 files changed

+286
-1
lines changed

‎src/NumSharp.Core/Backends/Default/Math/Default.Exp2.cs

Lines changed: 118 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,118 @@
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using System;
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using System.Threading.Tasks;
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using DecimalMath;
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using NumSharp.Utilities;
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namespace NumSharp.Backends
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{
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public partial class DefaultEngine
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{
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public override NDArray Exp2(in NDArray nd, Type dtype) => Exp2(nd, dtype?.GetTypeCode());
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public override NDArray Exp2(in NDArray nd, NPTypeCode? typeCode = null)
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{
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if (nd.size == 0)
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return nd.Clone();
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var @out = Cast(nd, typeCode ?? nd.typecode, copy: true);
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var len = @out.size;
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unsafe
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{
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switch (@out.GetTypeCode)
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{
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#if _REGEN
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%foreach except(supported_numericals, "Decimal"),except(supported_numericals_lowercase, "decimal")%
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case NPTypeCode.#1:
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{
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var out_addr = (#2*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.To#1(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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%
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case NPTypeCode.Decimal:
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{
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var out_addr = (decimal*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = DecimalEx.Pow(2, *(out_addr + i)));
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return @out;
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}
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default:
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throw new NotSupportedException();
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#else
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case NPTypeCode.Byte:
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{
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var out_addr = (byte*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToByte(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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case NPTypeCode.Int16:
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{
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var out_addr = (short*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToInt16(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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case NPTypeCode.UInt16:
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{
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var out_addr = (ushort*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToUInt16(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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case NPTypeCode.Int32:
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{
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var out_addr = (int*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToInt32(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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case NPTypeCode.UInt32:
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{
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var out_addr = (uint*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToUInt32(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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case NPTypeCode.Int64:
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{
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var out_addr = (long*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToInt64(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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case NPTypeCode.UInt64:
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{
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var out_addr = (ulong*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToUInt64(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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case NPTypeCode.Char:
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{
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var out_addr = (char*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToChar(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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case NPTypeCode.Double:
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{
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var out_addr = (double*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToDouble(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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case NPTypeCode.Single:
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{
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var out_addr = (float*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToSingle(Math.Pow(2, *(out_addr + i))));
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return @out;
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}
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case NPTypeCode.Decimal:
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{
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var out_addr = (decimal*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = DecimalEx.Pow(2, *(out_addr + i)));
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return @out;
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}
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default:
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throw new NotSupportedException();
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#endif
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}
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}
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}
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}
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}

‎src/NumSharp.Core/Backends/Default/Math/Default.Expm1.cs

Lines changed: 115 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,115 @@
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using System;
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using System.Threading.Tasks;
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using DecimalMath;
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using NumSharp.Utilities;
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namespace NumSharp.Backends
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{
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public partial class DefaultEngine
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{
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public override NDArray Expm1(in NDArray nd, Type dtype) => Expm1(nd, dtype?.GetTypeCode());
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public override NDArray Expm1(in NDArray nd, NPTypeCode? typeCode = null)
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{
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if (nd.size == 0)
15+
return nd.Clone();
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var @out = Cast(nd, ResolveUnaryReturnType(nd, typeCode), copy: true);
18+
var len = @out.size;
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unsafe
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{
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switch (@out.GetTypeCode)
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{
24+
#if _REGEN
25+
%foreach except(supported_numericals, "Decimal"),except(supported_numericals_lowercase, "decimal")%
26+
case NPTypeCode.#1:
27+
{
28+
var out_addr = (#2*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.To#1(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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%
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case NPTypeCode.Decimal:
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{
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var out_addr = (decimal*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = (decimal)Converts.ToDouble(DecimalEx.Exp(*(out_addr + i)) - 1m));
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return @out;
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}
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default:
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throw new NotSupportedException();
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#else
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case NPTypeCode.Byte:
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{
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var out_addr = (byte*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToByte(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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case NPTypeCode.Int16:
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{
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var out_addr = (short*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToInt16(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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case NPTypeCode.UInt16:
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{
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var out_addr = (ushort*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToUInt16(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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case NPTypeCode.Int32:
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{
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var out_addr = (int*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToInt32(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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case NPTypeCode.UInt32:
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{
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var out_addr = (uint*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToUInt32(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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case NPTypeCode.Int64:
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{
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var out_addr = (long*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToInt64(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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case NPTypeCode.UInt64:
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{
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var out_addr = (ulong*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToUInt64(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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case NPTypeCode.Char:
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{
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var out_addr = (char*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToChar(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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case NPTypeCode.Double:
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{
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var out_addr = (double*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToDouble(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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case NPTypeCode.Single:
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{
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var out_addr = (float*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = Converts.ToSingle(Math.Exp(*(out_addr + i)) - 1));
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return @out;
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}
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case NPTypeCode.Decimal:
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{
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var out_addr = (decimal*)@out.Address;
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Parallel.For(0, len, i => *(out_addr + i) = (decimal)Converts.ToDouble(DecimalEx.Exp(*(out_addr + i)) - 1m));
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return @out;
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}
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default:
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throw new NotSupportedException();
110+
#endif
111+
}
112+
}
113+
}
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}
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}

‎src/NumSharp.Core/Backends/TensorEngine.cs

Lines changed: 4 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -62,6 +62,10 @@ public abstract class TensorEngine
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public abstract NDArray Log1p(in NDArray nd, NPTypeCode? typeCode = null);
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public abstract NDArray Exp(in NDArray nd, Type dtype);
6464
public abstract NDArray Exp(in NDArray nd, NPTypeCode? typeCode = null);
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public abstract NDArray Exp2(in NDArray nd, Type dtype);
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public abstract NDArray Exp2(in NDArray nd, NPTypeCode? typeCode = null);
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public abstract NDArray Expm1(in NDArray nd, Type dtype);
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public abstract NDArray Expm1(in NDArray nd, NPTypeCode? typeCode = null);
6569
public abstract NDArray Tan(in NDArray nd, Type dtype);
6670
public abstract NDArray Tan(in NDArray nd, NPTypeCode? typeCod = null);
6771
public abstract NDArray Sin(in NDArray nd, Type dtype);

‎src/NumSharp.Core/Statistics/np.exp.cs

Lines changed: 49 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -29,6 +29,54 @@ public partial class np
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/// <param name="a">Input value.</param>
3030
/// <returns>The natural logarithm of x, element-wise. This is a scalar NDArray.</returns>
3131
/// <remarks>https://docs.scipy.org/doc/numpy/reference/generated/numpy.exp.html</remarks>
32-
public static NDArray exp(in NDArray a) => a.TensorEngine.Exp(a);
32+
public static NDArray exp(in NDArray a) => a.TensorEngine.Exp(a);
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/// <summary>
35+
/// Calculate 2**p for all p in the input array.
36+
/// </summary>
37+
/// <param name="a">Input value.</param>
38+
/// <returns>Element-wise 2 to the power x. This is a scalar if x is a scalar.</returns>
39+
/// <remarks>https://docs.scipy.org/doc/numpy/reference/generated/numpy.exp2.html</remarks>
40+
public static NDArray exp2(in NDArray a, Type dtype) => a.TensorEngine.Exp2(a, dtype);
41+
42+
/// <summary>
43+
/// Calculate 2**p for all p in the input array.
44+
/// </summary>
45+
/// <param name="a">Input value.</param>
46+
/// <returns>Element-wise 2 to the power x. This is a scalar if x is a scalar.</returns>
47+
/// <remarks>https://docs.scipy.org/doc/numpy/reference/generated/numpy.exp2.html</remarks>
48+
public static NDArray exp2(in NDArray a, NPTypeCode typeCode) => a.TensorEngine.Exp2(a, typeCode);
49+
50+
/// <summary>
51+
/// Calculate 2**p for all p in the input array.
52+
/// </summary>
53+
/// <param name="a">Input value.</param>
54+
/// <returns>Element-wise 2 to the power x. This is a scalar if x is a scalar.</returns>
55+
/// <remarks>https://docs.scipy.org/doc/numpy/reference/generated/numpy.exp2.html</remarks>
56+
public static NDArray exp2(in NDArray a) => a.TensorEngine.Exp2(a);
57+
58+
/// <summary>
59+
/// Calculate exp(x) - 1 for all elements in the array.
60+
/// </summary>
61+
/// <param name="a">Input value.</param>
62+
/// <returns>Element-wise exponential minus one: out = exp(x) - 1. This is a scalar if x is a scalar.</returns>
63+
/// <remarks>https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.expm1.html</remarks>
64+
public static NDArray expm1(in NDArray a, Type dtype) => a.TensorEngine.Expm1(a, dtype);
65+
66+
/// <summary>
67+
/// Calculate exp(x) - 1 for all elements in the array.
68+
/// </summary>
69+
/// <param name="a">Input value.</param>
70+
/// <returns>Element-wise exponential minus one: out = exp(x) - 1. This is a scalar if x is a scalar.</returns>
71+
/// <remarks>https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.expm1.html</remarks>
72+
public static NDArray expm1(in NDArray a, NPTypeCode typeCode) => a.TensorEngine.Expm1(a, typeCode);
73+
74+
/// <summary>
75+
/// Calculate exp(x) - 1 for all elements in the array.
76+
/// </summary>
77+
/// <param name="a">Input value.</param>
78+
/// <returns>Element-wise exponential minus one: out = exp(x) - 1. This is a scalar if x is a scalar.</returns>
79+
/// <remarks>https://docs.scipy.org/doc/numpy-1.15.0/reference/generated/numpy.expm1.html</remarks>
80+
public static NDArray expm1(in NDArray a) => a.TensorEngine.Expm1(a);
3381
}
3482
}

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