[GitHub] [tvm-rfcs] areusch commented on a change in pull request #22: [RFC][TIR] TIR Non-scalar Constants

2021-10-04 Thread GitBox


areusch commented on a change in pull request #22:
URL: https://github.com/apache/tvm-rfcs/pull/22#discussion_r721602667



##
File path: rfcs/0022-tir-non-scalar-constants.md
##
@@ -0,0 +1,107 @@
+
+- Feature Name: tir_non_scalar_constants
+- Start Date: 2021-06-01
+- RFC PR: https://github.com/apache/tvm-rfcs/pull/22
+- GitHub Issue: TBD
+
+# 1. Summary
+
+This RFC proposes how non-scalar constants could be represented in TIR and 
used by passes in the lowering process.
+
+# 2. Motivation 
+
+Currently, the non-scalar constants could be represented in Relay 
(relay.Constant) to be used by relay passes but not in TIR. Therefore, when 
performing lowering using TIR passes, we have to maintain a side-channel of 
tir::Var to constant non-scalar data mapping to perform transformations that 
could use the knowledge where some of the data are constants.
+
+Few example scenarios as further motivation :
+
+## Weight compression
+
+When lowering for accelerators (E.g. : [Arm(R) Ethos(TM)-U 
NPU](https://github.com/apache/tvm-rfcs/pull/11)), certain operations will need 
to get tiled to co-optimize performance and memory utilization. Such tiling 
patterns create slices of weights that need compressing that will end up with 
varying sizes. Therefore, the knowledge of some tir::Vars refer to constants 
are critical in the level of TIR to perform this.
+
+## Memory Planning
+
+The TIR program has the ability to express both inter and intra operator 
memory requirement, post-scheduling as explained further by [Unified Static 
Memory Planning RFC](https://github.com/apache/tvm-rfcs/pull/9). It would be 
better if the constants could be embedded to the TIR PrimFunc. Moreover, this 
allows various [target-dependent 
lowerings](https://github.com/apache/tvm-rfcs/pull/10), to produce TIR 
PrimFuncs with constants in it.
+
+## Winograd Constants
+
+The Winograd transformation (used for fast GEMMs) involves multiplication by a 
hard-coded constant tensor. This is currently accomplished in TE using a 
complicated TE compute expression with many nested selects. Being able to 
directly express a constant tensor here would significantly simplify this code.
+
+
+# 3. Guide-level explanation
+
+This is not particularly a user-facing feature and this will allow constants 
to be 'linked' to TIR. Initially, we are planning to use this with gated on 
'-link-params' argument for relay.build and TVMC.
+
+# 4. Reference-level explanation

Review comment:
   me neither anymore :/




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[GitHub] [tvm-rfcs] areusch commented on a change in pull request #22: [RFC][TIR] TIR Non-scalar Constants

2021-09-28 Thread GitBox


areusch commented on a change in pull request #22:
URL: https://github.com/apache/tvm-rfcs/pull/22#discussion_r717813423



##
File path: rfcs/0022-tir-non-scalar-constants.md
##
@@ -0,0 +1,107 @@
+
+- Feature Name: tir_non_scalar_constants
+- Start Date: 2021-06-01
+- RFC PR: https://github.com/apache/tvm-rfcs/pull/22
+- GitHub Issue: TBD
+
+# 1. Summary
+
+This RFC proposes how non-scalar constants could be represented in TIR and 
used by passes in the lowering process.
+
+# 2. Motivation 
+
+Currently, the non-scalar constants could be represented in Relay 
(relay.Constant) to be used by relay passes but not in TIR. Therefore, when 
performing lowering using TIR passes, we have to maintain a side-channel of 
tir::Var to constant non-scalar data mapping to perform transformations that 
could use the knowledge where some of the data are constants.
+
+Few example scenarios as further motivation :
+
+## Weight compression
+
+When lowering for accelerators (E.g. : [Arm(R) Ethos(TM)-U 
NPU](https://github.com/apache/tvm-rfcs/pull/11)), certain operations will need 
to get tiled to co-optimize performance and memory utilization. Such tiling 
patterns create slices of weights that need compressing that will end up with 
varying sizes. Therefore, the knowledge of some tir::Vars refer to constants 
are critical in the level of TIR to perform this.
+
+## Memory Planning
+
+The TIR program has the ability to express both inter and intra operator 
memory requirement, post-scheduling as explained further by [Unified Static 
Memory Planning RFC](https://github.com/apache/tvm-rfcs/pull/9). It would be 
better if the constants could be embedded to the TIR PrimFunc. Moreover, this 
allows various [target-dependent 
lowerings](https://github.com/apache/tvm-rfcs/pull/10), to produce TIR 
PrimFuncs with constants in it.

Review comment:
   ok so i think here we are printing the NDArray contents to TVMScript but 
not to repr()--does that match your understanding @manupa-arm ? i'm generally 
ok with this PR as long as we don't cause all TIR printing to be consumed by 
constant data.




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[GitHub] [tvm-rfcs] areusch commented on a change in pull request #22: [RFC][TIR] TIR Non-scalar Constants

2021-09-28 Thread GitBox


areusch commented on a change in pull request #22:
URL: https://github.com/apache/tvm-rfcs/pull/22#discussion_r717813423



##
File path: rfcs/0022-tir-non-scalar-constants.md
##
@@ -0,0 +1,107 @@
+
+- Feature Name: tir_non_scalar_constants
+- Start Date: 2021-06-01
+- RFC PR: https://github.com/apache/tvm-rfcs/pull/22
+- GitHub Issue: TBD
+
+# 1. Summary
+
+This RFC proposes how non-scalar constants could be represented in TIR and 
used by passes in the lowering process.
+
+# 2. Motivation 
+
+Currently, the non-scalar constants could be represented in Relay 
(relay.Constant) to be used by relay passes but not in TIR. Therefore, when 
performing lowering using TIR passes, we have to maintain a side-channel of 
tir::Var to constant non-scalar data mapping to perform transformations that 
could use the knowledge where some of the data are constants.
+
+Few example scenarios as further motivation :
+
+## Weight compression
+
+When lowering for accelerators (E.g. : [Arm(R) Ethos(TM)-U 
NPU](https://github.com/apache/tvm-rfcs/pull/11)), certain operations will need 
to get tiled to co-optimize performance and memory utilization. Such tiling 
patterns create slices of weights that need compressing that will end up with 
varying sizes. Therefore, the knowledge of some tir::Vars refer to constants 
are critical in the level of TIR to perform this.
+
+## Memory Planning
+
+The TIR program has the ability to express both inter and intra operator 
memory requirement, post-scheduling as explained further by [Unified Static 
Memory Planning RFC](https://github.com/apache/tvm-rfcs/pull/9). It would be 
better if the constants could be embedded to the TIR PrimFunc. Moreover, this 
allows various [target-dependent 
lowerings](https://github.com/apache/tvm-rfcs/pull/10), to produce TIR 
PrimFuncs with constants in it.

Review comment:
   ok so i think here we are printing the NDArray contents to TVMScript but 
not to repr()--does that match your understanding @manupa-arm ? i'm generally 
ok with this PR as long as we don't cause all TIR printing to be consumed by 
constant data.




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[GitHub] [tvm-rfcs] areusch commented on a change in pull request #22: [RFC][TIR] TIR Non-scalar Constants

2021-09-07 Thread GitBox


areusch commented on a change in pull request #22:
URL: https://github.com/apache/tvm-rfcs/pull/22#discussion_r703945618



##
File path: rfcs/0022-tir-non-scalar-constants.md
##
@@ -0,0 +1,107 @@
+
+- Feature Name: tir_non_scalar_constants
+- Start Date: 2021-06-01
+- RFC PR: https://github.com/apache/tvm-rfcs/pull/22
+- GitHub Issue: TBD
+
+# 1. Summary
+
+This RFC proposes how non-scalar constants could be represented in TIR and 
used by passes in the lowering process.
+
+# 2. Motivation 
+
+Currently, the non-scalar constants could be represented in Relay 
(relay.Constant) to be used by relay passes but not in TIR. Therefore, when 
performing lowering using TIR passes, we have to maintain a side-channel of 
tir::Var to constant non-scalar data mapping to perform transformations that 
could use the knowledge where some of the data are constants.
+
+Few example scenarios as further motivation :
+
+## Weight compression
+
+When lowering for accelerators (E.g. : [Arm(R) Ethos(TM)-U 
NPU](https://github.com/apache/tvm-rfcs/pull/11)), certain operations will need 
to get tiled to co-optimize performance and memory utilization. Such tiling 
patterns create slices of weights that need compressing that will end up with 
varying sizes. Therefore, the knowledge of some tir::Vars refer to constants 
are critical in the level of TIR to perform this.
+
+## Memory Planning
+
+The TIR program has the ability to express both inter and intra operator 
memory requirement, post-scheduling as explained further by [Unified Static 
Memory Planning RFC](https://github.com/apache/tvm-rfcs/pull/9). It would be 
better if the constants could be embedded to the TIR PrimFunc. Moreover, this 
allows various [target-dependent 
lowerings](https://github.com/apache/tvm-rfcs/pull/10), to produce TIR 
PrimFuncs with constants in it.
+
+## Winograd Constants
+
+The Winograd transformation (used for fast GEMMs) involves multiplication by a 
hard-coded constant tensor. This is currently accomplished in TE using a 
complicated TE compute expression with many nested selects. Being able to 
directly express a constant tensor here would significantly simplify this code.
+
+
+# 3. Guide-level explanation
+
+This is not particularly a user-facing feature and this will allow constants 
to be 'linked' to TIR. Initially, we are planning to use this with gated on 
'-link-params' argument for relay.build and TVMC.
+
+# 4. Reference-level explanation
+
+The proposal is quite simple and it could be explained as follows :
+
+```
+@tvm.script.tir
+def myfunc():   
+   param = tir.allocate_const([1, 1, 1, 1, 1, 1, 1, 1, 1, 1], "int32", [10])
+```
+
+This follows closely the semantics of tir.allocate and the difference being it 
represent a buffer filled with constants.

Review comment:
   @junrushao1994 does this answer your questions? 
   
   it does seem like we could specify placement of the parameters in terms of 
memory pool/scope in `tir.allocate_const` node if we wanted to, though. the 
main use case i could see for this is marking weights to be loaded into e.g. 
accelerator memory. i do think that sort of thing is related to this proposal, 
but i don't think anything here stops this feature from being implemented later 
on. so i think we can continue with the proposal as written




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[GitHub] [tvm-rfcs] areusch commented on a change in pull request #22: [RFC][TIR] TIR Non-scalar Constants

2021-08-19 Thread GitBox


areusch commented on a change in pull request #22:
URL: https://github.com/apache/tvm-rfcs/pull/22#discussion_r692378556



##
File path: rfcs/0022-tir-non-scalar-constants.md
##
@@ -0,0 +1,107 @@
+
+- Feature Name: tir_non_scalar_constants
+- Start Date: 2021-06-01
+- RFC PR: https://github.com/apache/tvm-rfcs/pull/22
+- GitHub Issue: TBD
+
+# 1. Summary
+
+This RFC proposes how non-scalar constants could be represented in TIR and 
used by passes in the lowering process.
+
+# 2. Motivation 
+
+Currently, the non-scalar constants could be represented in Relay 
(relay.Constant) to be used by relay passes but not in TIR. Therefore, when 
performing lowering using TIR passes, we have to maintain a side-channel of 
tir::Var to constant non-scalar data mapping to perform transformations that 
could use the knowledge where some of the data are constants.

Review comment:
   nit: say "non-scalar constants are represented in Relay" 

##
File path: rfcs/0022-tir-non-scalar-constants.md
##
@@ -0,0 +1,107 @@
+
+- Feature Name: tir_non_scalar_constants
+- Start Date: 2021-06-01
+- RFC PR: https://github.com/apache/tvm-rfcs/pull/22
+- GitHub Issue: TBD
+
+# 1. Summary
+
+This RFC proposes how non-scalar constants could be represented in TIR and 
used by passes in the lowering process.
+
+# 2. Motivation 
+
+Currently, the non-scalar constants could be represented in Relay 
(relay.Constant) to be used by relay passes but not in TIR. Therefore, when 
performing lowering using TIR passes, we have to maintain a side-channel of 
tir::Var to constant non-scalar data mapping to perform transformations that 
could use the knowledge where some of the data are constants.

Review comment:
   flip the second sentence around: "Therefore, when a compiler pass is 
operating on TIR, it needs additional input to determine whether a `tir::Var` 
is runtime-supplied data or a compile-time constant (and what that constant 
data is). Should that pass want to transform the constant data, the additional 
input also becomes an output. In order to provide this data, the compiler has 
to maintain a side-channel map, complicating the Pass interface."

##
File path: rfcs/0022-tir-non-scalar-constants.md
##
@@ -0,0 +1,107 @@
+
+- Feature Name: tir_non_scalar_constants
+- Start Date: 2021-06-01
+- RFC PR: https://github.com/apache/tvm-rfcs/pull/22
+- GitHub Issue: TBD
+
+# 1. Summary
+
+This RFC proposes how non-scalar constants could be represented in TIR and 
used by passes in the lowering process.
+
+# 2. Motivation 
+
+Currently, the non-scalar constants could be represented in Relay 
(relay.Constant) to be used by relay passes but not in TIR. Therefore, when 
performing lowering using TIR passes, we have to maintain a side-channel of 
tir::Var to constant non-scalar data mapping to perform transformations that 
could use the knowledge where some of the data are constants.
+
+Few example scenarios as further motivation :
+
+## Weight compression
+
+When lowering for accelerators (E.g. : [Arm(R) Ethos(TM)-U 
NPU](https://github.com/apache/tvm-rfcs/pull/11)), certain operations will need 
to get tiled to co-optimize performance and memory utilization. Such tiling 
patterns create slices of weights that need compressing that will end up with 
varying sizes. Therefore, the knowledge of some tir::Vars refer to constants 
are critical in the level of TIR to perform this.
+
+## Memory Planning
+
+The TIR program has the ability to express both inter and intra operator 
memory requirement, post-scheduling as explained further by [Unified Static 
Memory Planning RFC](https://github.com/apache/tvm-rfcs/pull/9). It would be 
better if the constants could be embedded to the TIR PrimFunc. Moreover, this 
allows various [target-dependent 
lowerings](https://github.com/apache/tvm-rfcs/pull/10), to produce TIR 
PrimFuncs with constants in it.
+
+## Winograd Constants
+
+The Winograd transformation (used for fast GEMMs) involves multiplication by a 
hard-coded constant tensor. This is currently accomplished in TE using a 
complicated TE compute expression with many nested selects. Being able to 
directly express a constant tensor here would significantly simplify this code.
+
+
+# 3. Guide-level explanation
+
+This is not particularly a user-facing feature and this will allow constants 
to be 'linked' to TIR. Initially, we are planning to use this with gated on 
'-link-params' argument for relay.build and TVMC.
+
+# 4. Reference-level explanation

Review comment:
   does the example from the other RFC still hold? if so, worth copying 
here?

##
File path: rfcs/0022-tir-non-scalar-constants.md
##
@@ -0,0 +1,107 @@
+
+- Feature Name: tir_non_scalar_constants
+- Start Date: 2021-06-01
+- RFC PR: https://github.com/apache/tvm-rfcs/pull/22
+- GitHub Issue: TBD
+
+# 1. Summary
+
+This RFC proposes how non-scalar constants could be represented in TIR and 
used by passes in the lowering