From ee338b10476b5ef77058f259097084af63a21030 Mon Sep 17 00:00:00 2001
From: auphelia <jakobapk@web.de>
Date: Tue, 28 Jan 2020 12:40:33 +0000
Subject: [PATCH] [CustomOps] Added empty functions to guarantee no errors with
abstract methods in HLSCustomOp class
---
.../fpgadataflow/convolutioninputgenerator.py | 6 +++++
.../fpgadataflow/streamingfclayer_batch.py | 23 ++++++++++++++++++-
2 files changed, 28 insertions(+), 1 deletion(-)
diff --git a/src/finn/custom_op/fpgadataflow/convolutioninputgenerator.py b/src/finn/custom_op/fpgadataflow/convolutioninputgenerator.py
index 91460fdac..4bf9bbf56 100644
--- a/src/finn/custom_op/fpgadataflow/convolutioninputgenerator.py
+++ b/src/finn/custom_op/fpgadataflow/convolutioninputgenerator.py
@@ -36,6 +36,12 @@ class ConvolutionInputGenerator(HLSCustomOp):
def verify_node(self):
pass
+ def bram_estimation(self):
+ pass
+
+ def lut_estimation(self):
+ pass
+
def get_input_datatype(self):
return DataType[self.get_nodeattr("inputDataType")]
diff --git a/src/finn/custom_op/fpgadataflow/streamingfclayer_batch.py b/src/finn/custom_op/fpgadataflow/streamingfclayer_batch.py
index 8d3d063c7..7bbd6e9b0 100644
--- a/src/finn/custom_op/fpgadataflow/streamingfclayer_batch.py
+++ b/src/finn/custom_op/fpgadataflow/streamingfclayer_batch.py
@@ -1,5 +1,5 @@
import os
-
+import math
import numpy as np
from finn.backend.fpgadataflow.utils import numpy_to_hls_code
@@ -141,6 +141,27 @@ class StreamingFCLayer_Batch(HLSCustomOp):
return info_messages
+ def bram_estimation(self):
+ P = self.get_nodeattr("PE")
+ Q = self.get_nodeattr("SIMD")
+ wdt = self.get_weight_datatype()
+ W = wdt.bitwidth()
+ D_in = self.get_instream_width()
+ D_out = self.get_outstream_width()
+ omega = (D_in * D_out) / (Q * P)
+ return P * (math.ceil(omega / 512)) * (math.ceil((Q * W) / 36))
+
+ def lut_estimation(self):
+ P = self.get_nodeattr("PE")
+ Q = self.get_nodeattr("SIMD")
+ wdt = self.get_weight_datatype()
+ W = wdt.bitwidth()
+ tdt = DataType.INT32
+ A = tdt.bitwidth()
+ c0 = 300
+ c1 = 1.1
+ return c0 + c1 * (P * Q) * (W * A)
+
def get_input_datatype(self):
return DataType[self.get_nodeattr("inputDataType")]
--
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