/// <inheritdoc/>
Tensor IOps.Conv3D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)
{
LogLayerSummary(X.shape + " # " + K.shape + " + (" + B.flatWidth + ")");
var O = m_Ops.Conv3D(X, K, B, stride, pad, fusedActivation);
LogOutputTensorSummary(O, Prefix + "Conv3D");
return O;
}
/// <inheritdoc/>
Tensor IOps.Conv3D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)
{
var Y = m_Ops1.Conv3D(X, K, B, stride, pad, fusedActivation);
var Z = m_Ops2.Conv3D(X, K, B, stride, pad, fusedActivation);
CheckSame(Y, Z, Layer.Type.Conv3D);
return(Y);
}
/// <inheritdoc/>
Tensor IOps.Conv3D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)
{
D.Log(X.shape + " # " + K.shape + " + (" + B.flatWidth + ")");
var O = m_Ops.Conv3D(X, K, B, stride, pad, fusedActivation);
O.PrintDataPart(32, Prefix + "Conv3D");
return(O);
}
/// <inheritdoc/>
Tensor IOps.Conv3D(Tensor X, Tensor K, Tensor B, int[] stride, int[] pad, Layer.FusedActivation fusedActivation)
{
var O = m_Ops.Conv3D(X, K, B, stride, pad, fusedActivation);
long m = (long)O.batch * (long)O.width * (long)O.height * O.depth;
long n = (long)X.channels;
long k = (long)K.kernelSpatialDepth * K.kernelWidth * (long)K.kernelHeight * (long)K.channels;
m_Alu += m * n * k * 2L;
m_Mem += (long)X.length + (long)K.length + (long)B.length + (long)O.length;
return(O);
}