Esempio n. 1
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        /** @copydoc LayerParameterBase::Clone */
        public override LayerParameterBase Clone()
        {
            RecurrentParameter p = new RecurrentParameter();

            p.Copy(this);
            return(p);
        }
Esempio n. 2
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        /// <summary>
        /// Parses the parameter from a RawProto.
        /// </summary>
        /// <param name="rp">Specifies the RawProto to parse.</param>
        /// <returns>A new instance of the parameter is returned.</returns>
        public static new RecurrentParameter FromProto(RawProto rp)
        {
            string             strVal;
            RecurrentParameter p = new RecurrentParameter();

            ((EngineParameter)p).Copy(EngineParameter.FromProto(rp));

            if ((strVal = rp.FindValue("num_output")) != null)
            {
                p.num_output = uint.Parse(strVal);
            }

            RawProto rpWeightFiller = rp.FindChild("weight_filler");

            if (rpWeightFiller != null)
            {
                p.weight_filler = FillerParameter.FromProto(rpWeightFiller);
            }

            RawProto rpBiasFiller = rp.FindChild("bias_filler");

            if (rpBiasFiller != null)
            {
                p.bias_filler = FillerParameter.FromProto(rpBiasFiller);
            }

            if ((strVal = rp.FindValue("debug_info")) != null)
            {
                p.debug_info = bool.Parse(strVal);
            }

            if ((strVal = rp.FindValue("expose_hidden")) != null)
            {
                p.expose_hidden = bool.Parse(strVal);
            }

            if ((strVal = rp.FindValue("dropout_ratio")) != null)
            {
                p.dropout_ratio = ParseDouble(strVal);
            }

            if ((strVal = rp.FindValue("dropout_seed")) != null)
            {
                p.dropout_seed = long.Parse(strVal);
            }

            if ((strVal = rp.FindValue("num_layers")) != null)
            {
                p.num_layers = uint.Parse(strVal);
            }

            if ((strVal = rp.FindValue("cudnn_enable_tensor_cores")) != null)
            {
                p.cudnn_enable_tensor_cores = bool.Parse(strVal);
            }

            return(p);
        }
Esempio n. 3
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        /** @copydoc LayerParameterBase::Copy */
        public override void Copy(LayerParameterBase src)
        {
            RecurrentParameter p = (RecurrentParameter)src;

            m_nNumOutput    = p.num_output;
            m_weight_filler = p.weight_filler.Clone();
            m_bias_filler   = p.bias_filler.Clone();
            m_bDebugInfo    = p.debug_info;
            m_bExposeHidden = p.expose_hidden;
        }
Esempio n. 4
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        /** @copydoc LayerParameterBase::Load */
        public override object Load(BinaryReader br, bool bNewInstance = true)
        {
            RawProto           proto = RawProto.Parse(br.ReadString());
            RecurrentParameter p     = FromProto(proto);

            if (!bNewInstance)
            {
                Copy(p);
            }

            return(p);
        }
        /** @copydoc LayerParameterBase::Copy */
        public override void Copy(LayerParameterBase src)
        {
            base.Copy(src);

            if (src is RecurrentParameter)
            {
                RecurrentParameter p = (RecurrentParameter)src;
                m_nNumOutput     = p.num_output;
                m_weight_filler  = p.weight_filler.Clone();
                m_bias_filler    = p.bias_filler.Clone();
                m_bDebugInfo     = p.debug_info;
                m_bExposeHidden  = p.expose_hidden;
                m_dfDropoutRatio = p.dropout_ratio;
                m_lDropoutSeed   = p.dropout_seed;
                m_nNumLayers     = p.num_layers;
            }
        }
        /** @copydoc LayerParameterBase::Copy */
        public override void Copy(LayerParameterBase src)
        {
            base.Copy(src);

            if (src is RecurrentParameter)
            {
                RecurrentParameter p = (RecurrentParameter)src;
                m_nNumOutput              = p.num_output;
                m_weight_filler           = p.weight_filler.Clone();
                m_bias_filler             = p.bias_filler.Clone();
                m_bDebugInfo              = p.debug_info;
                m_bExposeHiddenInput      = p.expose_hidden_input;
                m_bExposeHiddenOutput     = p.expose_hidden_output;
                m_dfDropoutRatio          = p.dropout_ratio;
                m_lDropoutSeed            = p.dropout_seed;
                m_nNumLayers              = p.num_layers;
                m_bBidirectional          = p.bidirectional;
                m_bCudnnEnableTensorCores = p.m_bCudnnEnableTensorCores;
            }
        }
Esempio n. 7
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        /// <summary>
        /// Parses the parameter from a RawProto.
        /// </summary>
        /// <param name="rp">Specifies the RawProto to parse.</param>
        /// <returns>A new instance of the parameter is returned.</returns>
        public static RecurrentParameter FromProto(RawProto rp)
        {
            string             strVal;
            RecurrentParameter p = new RecurrentParameter();

            if ((strVal = rp.FindValue("num_output")) != null)
            {
                p.num_output = uint.Parse(strVal);
            }

            RawProto rpWeightFiller = rp.FindChild("weight_filler");

            if (rpWeightFiller != null)
            {
                p.weight_filler = FillerParameter.FromProto(rpWeightFiller);
            }

            RawProto rpBiasFiller = rp.FindChild("bias_filler");

            if (rpBiasFiller != null)
            {
                p.bias_filler = FillerParameter.FromProto(rpBiasFiller);
            }

            if ((strVal = rp.FindValue("debug_info")) != null)
            {
                p.debug_info = bool.Parse(strVal);
            }

            if ((strVal = rp.FindValue("expose_hidden")) != null)
            {
                p.expose_hidden = bool.Parse(strVal);
            }

            return(p);
        }