- Common code as TF repository, being moved to MLIR core.
- Will support further legalizations to be published.
Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
This commit adds the aten ops which do not require random number
support to aten dialect. This commit also adds some of the missing
torch types.
Signed-Off-By: Prateek Gupta <prateek@nod-labs.com>
Note that to enable folding of the code coming from an example
like the ConstantPad2dStaticModule e2e test, support for other
operations had to be added/improved:
- aten::neg.int
- aten::eq.float
- aten::eq.str
- prim::Uninitialized
This commit adds lowering of `aten.threshold` op
This commit adds lowering of `aten.threshold_backward` op
Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
This involes the following 2 parts:
- Change refine type to propagate more static shape info.
- Get as much static shape info as possible when creating the result
tensor when converting to linalg.
- This commit adds E2E support for `aten.ones_like` and
`aten.zeros_like` ops.
- Adds support for non-None `dtype` argument of `aten.empty_like` op.
- All the unit test cases related to constant tensor allocation like ops
are moved to a different file named `constant_alloc.py`.
Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
This commit adds lowering of `aten.arange.start_step` op.
This commit decomposes `aten.arange` and `aten.arange.start` into
`aten.arange.start_step` op.
Signed-Off By: Vivek Khandelwal <vivek@nod-labs.com>
- It folds `aten.to.dtype` when the input tensor type and result type
are exactly same.
- It folds `aten.view` when the rank of both the input tensor type and
result type is unity.
Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
We only handle the expanding OR collapsing cases, we do not handle
expanding And collapsing happening at the same time or cases where
it's neither collapsing nor expanding like view of [2,3] for
3x2 tensor.
It's assumed that if a shape list element is got from
`aten.size(tensor, dim)` the corresponding dim is not splitted or
collapsed. This assumption makes it easier to deal with dynamic shapes.
- Added E2E support for `aten.eq.Tensor` and `aten.lt.Tensor` ops. Both
the operands are expected to be of the same type, i.e., type promotion
is not addressed as a part of this commit.
- Added E2E support for `aten.eq.Scalar` and `aten.lt.Scalar` ops.
Tensor operand type to Scalar operand type promotion has not been
handled in this commit.
Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
This commit fixes the naming of results in the torch ODS generator
when dealing with multiple results. In particular, this commit appends
an index to each result name to guarantee that they are all unique.
The existing implementation of `ConvertConstantTensorAllocOp<>` requires
a C++17 feature `if constexpr ()`. This commit removes the use of that
feature to support the implementation even for lower C++ versions.
Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
Add the required lowerings and correct test cases.
These op produce zero-d tensors and it was incorrectly mentioned in
refine types to produce 1d tensor of size 1.
- Templatize `aten.zeros` and `aten.ones` ops lowering.
- Add E2E support for `aten.empty` op.
- Add Integer type support in `aten.mul.Scalar` op lowering.
Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
`aten.gt.Tensor` op has been added in torch dialect and the
lowering of the op has been done to the linalg dialect.
Signed-off-by: Prashant Kumar <prashant@nod-labs.com>
This patch adds the where, gt, bucketize and reshape
ops to the Torch dialect. These ops are present in the histogram
calibration module.
TEST: Successfully lowers ops to Torch dialect in histogram module.
This commit adds support for aten.native_layer_norm operation. Here
the previous code for aten.layer_norm is tweaked a little bit to
accomodate both mean and variance values alongwith the layer norm
value. This commit also adds decomposition of aten.layer_norm into
aten.native_layer_norm, which was previously getting lowered directly
to linalg.
Signed-Off-By: Prateek Gupta<prateek@nod-labs.com>
This commit adds lowering of `aten.squeeze.dim` op into
`linalg.TensorCollapseShape` op. Here, the dim(th) dimension of the
input tensor is not supposed to be dynamic.
Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
This commit adds lowering of `aten.gt.Scalar` and `aten.where.self` as a
part of element-wise ops lowering.
Signed-Off-by: Gaurav Shukla <gaurav@nod-labs.com>
Support for passing memref of bool types as a function argument
and return is added in ref-backend.
Signed-off-by: Prashant Kumar <prashant@nod-labs.com>
The op lowering has been added as a part of `torch-lower-to-linalg`
pass. This takes care of ignore_index but the weight and reduction
operand is still to be accounted for.
Signed-off-by: Prashant Kumar <prashant@nod-labs.com>
- Supports variants with multiple dims, one dim, all dime
- Leverages legalize_common and legalize_utils code from
TensorFlow-TOSA work
Signed-off-by: Suraj Sudhir <suraj.sudhir@arm.com>
There is an op name change that requires trivial changes.
Also, some of the warning has been fixed.
Signed-off-by: Prashant Kumar <prashant@nod-labs.com>
Suraj Sudhir
Prateek Gupta
Anup Gangwar
Liam Fitzpatrick
Vivek Khandelwal
Yi Zhang
Gaurav Shukla
Ramiro Leal-Cavazos
Prashant Kumar
Nirvedh
xndcn
Daniel Garvey
Anup Gangwar
harsh
Suraj Sudhir