Commit Graph

156 Commits (d61ae92eeefcf96cd5137e2464e934f0b0b5b20a)

Author SHA1 Message Date
Vivek Khandelwal d61ae92eee [MLIR][TORCH] Add E2E support for aten.full op
This commit decomposes `aten.full` op into `aten.empty` and
`aten.fill` op.

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2022-03-04 21:58:23 +05:30
Ramiro Leal-Cavazos 298eeb79ca
[LINALG] Add handling of unknown dimension in size list of `view` op (#633)
The view op allows for the new shape argument to have a -1 value for
one of the dimensions, and the op is expected to deduce the size of
that dimension by looking at the sizes of the other dimensions and
comparing it to the total number of elements in the original
tensor. This commit adds this functionality.
2022-03-02 13:35:01 -08:00
Yi Zhang 1d285f0153 Add aten.hardtanh e2e support. 2022-03-02 12:28:06 -05:00
Prashant Kumar 819f29316f Decompose aten.silu op
Decomposition of aten.silu.op is added as silu(x) = x * sigmoid(x).
2022-03-01 23:24:19 +05:30
Vivek Khandelwal ddd45d6068 [MLIR][TORCH] Add E2E support for aten.new_zeros, aten.new_ones op
This commit adds lowering of `aten.new_zeros` and `aten.new_ones` op

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2022-03-01 22:09:47 +05:30
Ramiro Leal-Cavazos 1dba4fcbd7
[LINALG] Support for contiguous memory format in `clone` and `empty` (#628)
This commit adds support for the contiguous memory format for the ops
`AtenCloneOp` and `AtenEmptyMemoryFormatOp`.
2022-02-28 13:58:04 -08:00
Ramiro Leal-Cavazos 58abec5c0a
Add `reduction` support to `torch.nll_loss_forward` (#624)
This commit does a couple of things. First, it fixes a bug in the
`linalg.generic` body of the `nll_loss_forward` lowering where the
`ignoreIndex` was being compared with the loop index rather than the
current element of the `target` tensor. This was not being caught by
the tests because they were not testing the case where `ingnoreIndex`
actually corresponds to a value in `target`. This has been fixed.

Second, this commit adds support for the `reduction` argument in
`torch.nll_loss_forward` as well as support for 1-D inputs. In order
to simplify the lowering code, I've refactored the code that creates
the `linalg.generic` ops for elementwise and reduction ops into static
functions, to avoid having boilerplate code for indexing maps, etc
that can be very error prone.

Note: The function `convertScalarToDtype` was moved to before all the
conversion patterns, but nothing in it was modified.
2022-02-28 11:01:23 -08:00
Prashant Kumar 7c637eebc3 [LINALG] Decompose aten_hardswish op.
`aten.hardswish` op is decomposed into (x/6) * Relu6(x+3).
2022-02-25 21:59:27 +05:30
Gaurav Shukla 056cd2078d Revert "[LINALG] Decompose `aten.batch_norm` into `aten.native_batch_norm`"
This reverts commit 442ff4605c.
2022-02-25 15:46:55 +05:30
Ramiro Leal-Cavazos 2823277f7c
Add static type information support to `aten.mm` (#602)
This commit adds static type information support to `aten.mm`. This is
needed for the forward pass of Bert training.
2022-02-18 09:56:48 -08:00
Gaurav Shukla 442ff4605c [LINALG] Decompose `aten.batch_norm` into `aten.native_batch_norm`
- This commit decomposes the `aten.batch_norm` op into the
  `aten.native_batch_norm` op, instead of lowering it to the
  `linalg.generic` op.
- It also adds run-time asserts in the `aten.native_batch_norm` lowering
  to make sure that the shape of the weight, bias, running_mean, and
  running_var must match the num of features.
- Since the `aten.native_batch_norm` op is not supported at TOSA backend,
  all the modules that are dependent on the `aten.native_batch_norm` op
  will fail and therefore they should be removed from the TOSA `passing`
  set.
- It also moves `checkNotNone` to utility.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-02-16 23:41:38 +05:30
Anup Gangwar c60468f141
[tosa] Support for Aten[Zeros|Ones|Fill_Scalar] ops (#604)
Signed-off-by: Anup Gangwar <anup.gangwar@arm.com>

Co-authored-by: Anup Gangwar <anup.gangwar@arm.com>
2022-02-16 09:53:51 -08:00
Prashant Kumar 8b79b5f48f Modify aten._log_softmax op decomposition for numerical stability.
`aten.log_softmax` is decomposed to be more numerically stable.
2022-02-16 12:26:17 +05:30
Gaurav Shukla cd21dda867 [LINALG] Add E2E support for `aten.Hardsigmoid` op
This commit adds lowering of `aten.Hardsigmoid` op.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-02-16 02:35:18 +05:30
Ramiro Leal-Cavazos 00a6e9c1bb
[LINALG] Add value tensor variant to `fill_.Scalar` (#600)
This commit adds the op `PseudoAtenFillScalarOp` that represents
`AtenFill_ScalarOp` without the underscore. The approach is the same
as in commit dd998fa4d4.

Adding this op allows for a simpler and more consistent version of the
`empty` and `empty_like` op e2e tests.
2022-02-15 11:58:03 -08:00
Gaurav Shukla 41acde599b [LINALG] Add E2E support for `aten.[le|ge].Scalar` ops
- This commit adds lowering of `aten.le.Scalar` and `aten.ge.Scalar` ops
  as a part of `convert-torch-to-linalg` pass.
- It also creates a new test script `elementwise_comparison.py` for all
  element-wise comparison ops.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-02-15 12:21:09 +05:30
Gaurav Shukla 78c7844c6c [LINALG] Add E2E support for `aten.eq.int` op
- This commit adds lowering of `aten.eq.int` op as a part of
  `convert-torch-to-std` pass.
- It also refactors the code for binary comparison ops lowering.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-02-15 01:37:35 +05:30
Gaurav Shukla f00d1686c8 [LINALG] Add E2E support for `aten.[Bool.Tensor|Float.Tensor]` op
- This commit adds lowering of `aten.Bool.Tensor` and
  `aten.Float.Tensor` op as a part of `convert-torch-to-linalg` pass.
- It also adds support for returning bool types.
- It also fixes lowering of the `aten.Int.Tensor` op for non-zero rank
  input tensors.
- If a scalar number is converted to a 0-d tensor and passed on to the
  `aten.Float.Tensor` op, it folds to the scalar number.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-02-14 23:09:20 +05:30
Gaurav Shukla dcef4751f9 [LINALG] Fix name conflict of `self` keyword.
- The `self` name is being used as a keyword argument to the
  `torch.ops.aten.nll_loss_backward` function call, which produces
  name-conflict error with the python keyword `self` which is pointer to
  the current object.
- This commit fixes this issue by replacing the keyword argument by
  positional argument.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-02-14 22:55:31 +05:30
Ramiro Leal-Cavazos 3dc7847348
[LINALG] Fix linalg generic result type argument in TorchToLinalg (#588)
Some of the lowerings use the result type obtained from the op itself
to tell the `linalg::GenericOp` what the type of the result should be
rather than using the type of the result tensor given to the
`linalg::GenericOp`. This becomes a problem when the result type of
the op has static size information and the result tensor used in
`linalg::GenericOp` has dynamic dimensions, for `linalg::GenericOp`
expects the result type to be equal to the type of the output tensor.

This commit replaces the use of the result type from the op itself
with the type of the result tensor passed to `linalg::GenericOp`.

In order to not create too many dynamic/static versions of the same
e2e test, e2e tests have only been added to the ops that currently
fail when used with static sizes.
2022-02-11 19:42:18 -08:00
Yi Zhang ce4d6d1f83 Remove hacky aten.select.int lowering code 2022-02-11 18:14:58 -05:00
Anup Gangwar 756b75fb2d
[tosa] Support for some ops and fix for Issue #532 (#575)
* [tosa] Support for AtenNe[Tensor|Scalar]Op, AtenLog2Op,
AtenBitwiseAndTensorOp, AtenSquareOp and AtenThresholdOp
* Fix for Issue #532 - Mixed input types for few ops and updated few
tests to use i32 instead of i64

Signed-off-by: Anup Gangwar <anup.gangwar@arm.com>

Co-authored-by: Anup Gangwar <anup.gangwar@arm.com>
2022-02-11 12:30:02 -08:00
Ramiro Leal-Cavazos c1167853db
Fix error in RefineTypes for constant alloc ops (#579)
This commit fixes an error in the refine types pass of constant
allocation ops. The function used to set the dtype,
`fillInDtypeGivenDtypeAndDataType`, takes two torch types as arguments,
but a torch type and a standard MLIR type were being passed into it.

This commit also fixes the way the dtype was calculated in
`visitAtenToDtypeOp`. This op was also passing a standard MLIR type as
an argument to the `fillInDtypeGivenDtypeAndDataType`
function. Moreover, since the op `aten.to.dtype` has the dtype
argument as not optional, all that is needed is to match
against the int value to extract the dtype.
2022-02-10 18:02:18 -08:00
Yi Zhang 1ab2e3260b Add mobilenetv2 and mobilenetv3 to e2e test 2022-02-10 19:45:32 -05:00
Prashant Kumar 258660deb6 Add aten.bernoulli decomposition.
aten.bernoulli is decomposed to aten.gtTensor(aten.uniform(x), x).
2022-02-11 00:35:33 +05:30
Prashant Kumar 102c497c4c Add decomposition of _log_softmax op.
Decompose _log_softmax into log(softmax(x)).
2022-02-10 23:17:26 +05:30
Prateek Gupta 318946a650 [TORCH][MLIR] Add E2E support for `aten._unsafe_view` op.
This commit adds decomposition of `aten._unsafe_view` op into
`aten.view` op.

Signed-Off-By: Prateek Gupta<prateek@nod-labs.com>
2022-02-10 22:28:58 +05:30
Ramiro Leal-Cavazos 9b89f8eb3f
[TORCH][MLIR] Add E2E support for aten.clone (#571)
This commit adds support for the aten.clone op.
2022-02-09 19:31:03 -08:00
Yi Zhang 6aa96f8c1e Fix uniform argument type
Also change the 3rd dimension to be smaller so that CI can pass without
killing the process.
2022-02-08 22:13:42 +05:30
Gaurav Shukla 2fefe68ffd [TORCH][MLIR] Add E2E support for `aten.native_batch_norm` op
- This commit adds support for `aten.native_batch_norm` operation.
- The current implementation only supports inference mode of
  `aten.native_batch_norm` op.

Signed-Off-By: Gaurav Shukla <gaurav@nod-labs.com>
2022-02-08 02:54:03 +05:30
Prashant Kumar d4ea39b616 Convert bool to float or integer type.
Conversion of torch.bool tensor type to float and integer type is
handled.
2022-02-07 21:22:22 +05:30
Anup Gangwar f9f97ea184 * [tosa] Support for AtenNativeLayerNormOp
* [tosa] Support for AtenPermuteOp

Signed-off-by: Anup Gangwar <anup.gangwar@arm.com>
2022-02-04 14:46:31 -05:00
Prashant Kumar ccf546f14c Add aten::nll_loss_backward op
The lowering of aten::nll_loss_backward op has been added
from torch to linalg dialect. The changes has been made as
a part of -torch-convert-to-linalg pass.

Signed-off-by: Prashant Kumar prashant@nod-labs.com
2022-02-04 21:57:53 +05:30
Prashant Kumar 68acc8696e Modify softmax decomposition to be more numerically stable.
The softmax decomposition is modified according to https://github.com/pytorch/functorch/blob/main/functorch/_src/decompositions.pytorch
to account for numerical stability. Also, modified aten.argmax lowering
to handle negative dimension.
2022-02-03 21:20:36 +05:30
Gaurav Shukla 0079901039 [TORCH][MLIR] Add E2E support for `aten.reshape` op
This commit decomposes `aten.reshape` into `aten.view` op in the case of
value tensor type operand.

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-02-02 20:41:47 +05:30
Suraj Sudhir 1b505cbac5
RefineTypes fixes for TOSA backend (#557)
Handles Linear, Adaptive_AvgPool2D and FlattenUsintInts
Adds ResNet18 static model for TOSA

Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2022-02-01 14:08:54 -08:00
Yi Zhang 0cb216a1ad [Torch][Linalg] Add basic support for RNG
This PR include the following pieces:
- Add torch `Generator` type. `Generator` type is converted to i64 in
refbackend type converter.
- Add seed managment support for the default global generator.
`torch_c.getNextSeed` op is used to get the seed. On refbackend, the
`torch_c.getNextSeed` is lowered to load/store from [0] of global
variable `default_generator` memref<i64> in `InsertRngGlobals` pass.
- Add `aten.uniform_` and testing as an example op for RNG ops. Add
`torch.pseudo.aten.uniform` op. It has the same operands and return as
the `aten.uniform_` from the op registry except for value semantics.
2022-01-31 18:56:42 -05:00
Suraj Sudhir 0f083e770a
[tosa] Add maxpool2d and adaptive_avgpool2d support (#550)
Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2022-01-31 13:34:09 -08:00
Yi Zhang 5d9a15263a [TORCH] Add aten.std e2e support 2022-01-31 15:17:49 -05:00
Prashant Kumar e58b66bc3b Add lowering of `aten.max.dim` op.
Lowering of `aten.max.dim` op has been added.
2022-01-31 21:41:22 +05:30
Anup Gangwar 454fa9d123
* [tosa] Support for AtenFlattenUsingIntsOp (#548) 2022-01-28 21:38:56 -08:00
Liam Fitzpatrick 8bc028af05 Fold __is__ and unchecked_cast of derefine
The added e2e maxpool testcase from #545 was not getting a static shape
due to an unfolded prim.If when RefineTypes was called. This was because
of unfolded torch.iaten.__is__ and torch.prim.unchecked_cast operators
with torch.derefine operands.
2022-01-28 17:54:40 -05:00
Anup Gangwar 7a5736facd
* [tosa] Support for AtenReshapeOp (#543)
* [tosa] Support for AtenBatchNormOp

Signed-off-by: Anup Gangwar <anup.gangwar@arm.com>

Co-authored-by: Anup Gangwar <anup.gangwar@arm.com>
2022-01-27 14:38:59 -08:00
Gaurav Shukla 13b9fd62c6 [TBE] Add a test module for table batch embedding
This commit adds a test module specifically for table batch embedding
algorithm. This test case is in reference to the FBGEMM table batch
embedding:
https://github.com/pytorch/FBGEMM/blob/main/fbgemm_gpu/bench/split_table_batched_embeddings_benchmark.py#L270

Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
2022-01-28 02:24:28 +05:30
Suraj Sudhir eb06d21765
[tosa] Implement conv2d support (#541)
Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2022-01-26 19:16:13 -08:00
Nirvedh 17a4843cf7 Adding an e2e test for histogram binning calibration 2022-01-25 18:27:20 -05:00
Anup Gangwar f8080bd1c5
* [tosa] Support for AtenRsubScalarOp for scalar constants (#531)
* [tosa] Support for AtenCeilOp and AtenReciprocalOp
* [tosa] Support for comparator ops, Aten[Gt|Lt|Eq][Tensor|Scalar]Op with scalar constant
* [tosa] Support for Scalar variants of Aten[Mul|Div|Add|Sub] Ops with scalar constants

Signed-off-by: Anup Gangwar <anup.gangwar@arm.com>

Co-authored-by: Anup Gangwar <anup.gangwar@arm.com>
2022-01-20 10:58:30 -08:00
Suraj Sudhir 5d6c4f48dc
[tosa] Enable tosa-to-linalg-named so Matmul works again (#530)
Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2022-01-19 12:10:04 -08:00
Vivek Khandelwal 6fe70c7794 [MLIR][TORCH] Add E2E support for aten.index.Tensor op
This commit adds lowering of `aten.index.Tensor` op

Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
2022-01-19 13:37:56 +05:30
Suraj Sudhir 5ded7d096f
[tosa] Add tosa-to-standard before tosa-to-linalg pass (#524)
Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
2022-01-14 11:05:11 -08:00