Propose new assertions for sorting network (to be implemented)
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@ -7,11 +7,63 @@ from ...sed.output_network import *
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Verification tasks for OutputNetwork
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"""
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class OutputNetworkSpec(Elaboratable):
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def elaborate(self, platform):
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m = Module()
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m.submodules.output_network = output_network = OutputNetwork(4, 2, [("data", 32), ("channel", 3)])
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# Model arbitrary inputs for network nodes
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for i in range(output_network.lane_count):
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m.d.comb += output_network.input[i].eq(AnySeq(1))
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m.d.comb += output_network.input[i].seqn.eq(AnySeq(output_network.seqn_width))
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m.d.comb += output_network.input[i].replace_occured.eq(0)
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m.d.comb += output_network.input[i].nondata_replace_occured.eq(0)
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for field, width in output_network.layout_payload:
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m.d.comb += getattr(output_network.input[i].payload, field).eq(AnySeq(width))
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# Indicator of when inputs from the first clock cycle make it
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# through the sorting network
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network_latency = latency(output_network.lane_count)
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counter = Signal(range(network_latency + 1))
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m.d.sync += counter.eq(counter + 1)
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with m.If(counter == network_latency):
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m.d.sync += counter.eq(counter)
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f_output_valid = Signal()
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m.d.comb += f_output_valid.eq(counter == network_latency)
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with m.If(f_output_valid):
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replacement_occurred = Signal()
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for node in output_network.output:
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with m.If(node.replace_occured):
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m.d.comb += replacement_occurred.eq(1)
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channels_unique = Signal(reset=1)
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for node1 in range(len(output_network.input)):
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for node2 in range(node1):
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k1 = Past(output_network.input[node1].payload.channel, clocks=network_latency)
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k2 = Past(output_network.input[node2].payload.channel, clocks=network_latency)
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with m.If(k1 == k2):
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m.d.comb += channels_unique.eq(0)
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# If there are no replacements then:
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# - Input channel numbers are unique among (in)valid nodes
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# - All inputs make it through the sorting network unmodified
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# TODO
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# Otherwise, if there are replacements:
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# - There is a channel number collision among the valid or invalid
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# nodes
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# - All channel numbers in valid inputs appear exactly once as a
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# valid output
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# - All valid outputs correspond to a valid input modulo accounting
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# information
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# - Channel numbers in invalid inputs not appearing in valid inputs
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# as well never appear as a valid output
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# TODO
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return m
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class OutputNetworkTestCase(FHDLTestCase):
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def verify(self):
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# Bounded model check
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self.assertFormal(
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OutputNetwork(4, 2, [("data", 32), ("channel", 3)]),
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OutputNetworkSpec(),
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mode="bmc", depth=40)
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# TODO: unbounded proof
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