Commit Graph

420 Commits

Author SHA1 Message Date
River Riddle 58c18ca135 [mlir][AsmPrinter] Fix edge case when printing floating point values.
Summary: In some edge cases the default APFloat printer will generate something that we can't parse back in. In these cases, fallback to using hex instead.

Differential Revision: https://reviews.llvm.org/D74181
2020-02-06 18:05:53 -08:00
Lubomir Litchev fcabccd3d9 [MLIR] Add the sqrt operation to mlir.
Summary: Add and pipe through the sqrt operation for Standard and LLVM dialects.

Reviewers: nicolasvasilache, ftynse

Reviewed By: ftynse

Subscribers: frej, ftynse, merge_guards_bot, flaub, mehdi_amini, rriddle, jpienaar, burmako, shauheen, antiagainst, arpith-jacob, mgester, lucyrfox, aartbik, liufengdb, llvm-commits

Tags: #llvm

Differential Revision: https://reviews.llvm.org/D73571
2020-01-30 08:07:38 -08:00
River Riddle b276dec5b6 [mlir] Add a DCE pass for dead symbols.
Summary: This pass deletes all symbols that are found to be unreachable. This is done by computing the set of operations that are known to be live, propagating that liveness to other symbols, and then deleting all symbols that are not within this live set.

Differential Revision: https://reviews.llvm.org/D72482
2020-01-27 23:29:30 -08:00
River Riddle 20c6e07494 [mlir] Enable printing of FuncOp in the generic form.
Summary:
This was previously disabled as FunctionType TypeAttrs could not be roundtripped in the IR. This has been fixed, so we can now generically print FuncOp.

Depends On D72429

Reviewed By: jpienaar, mehdi_amini

Differential Revision: https://reviews.llvm.org/D72642
2020-01-14 15:10:07 -08:00
River Riddle 1bd14ce392 [mlir] Use double format when parsing bfloat16 hexadecimal values
Summary: bfloat16 doesn't have a valid APFloat format, so we have to use double semantics when storing it. This change makes sure that hexadecimal values can be round-tripped properly given this fact.

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D72667
2020-01-14 13:56:22 -08:00
River Riddle 9b92e4fbdb [mlir] Add support for attaching a visibility to symbols.
Summary:
The visibility defines the structural reachability of the symbol within the IR. Symbols can define one of three visibilities:

* Public
The symbol \may be accessed from outside of the visible IR. We cannot assume that we can observe all of the uses of this symbol.

* Private
The symbol may only be referenced from within the operations in the current symbol table, via SymbolRefAttr.

* Nested
The symbol may be referenced by operations in symbol tables above the current symbol table, as long as each symbol table parent also defines a non-private symbol. This allows or referencing the symbol from outside of the defining symbol table, while retaining the ability for the compiler to see all uses.

These properties help to reason about the properties of a symbol, and will be used in a follow up to implement a dce pass on dead symbols.

A few examples of what this would look like in the IR are shown below:

  module @public_module {
    // This function can be accessed by 'live.user'
    func @nested_function() attributes { sym_visibility = "nested" }

    // This function cannot be accessed outside of 'public_module'
   func @private_function() attributes { sym_visibility = "private" }
  }

  // This function can only be accessed from within this module.
  func @private_function() attributes { sym_visibility = "private" }

  // This function may be referenced externally.
  func @public_function()

  "live.user"() {uses = [@public_module::@nested_function,
                                      @private_function,
                                      @public_function]} : () -> ()

Depends On D72043

Reviewed By: mehdi_amini

Differential Revision: https://reviews.llvm.org/D72044
2020-01-13 16:10:13 -08:00
River Riddle 6fca03f0ca [mlir] Update the use-list algorithms in SymbolTable to support nested references.
Summary: This updates the use list algorithms to support querying from a specific symbol, allowing for the collection and detection of nested references. This works by walking the parent "symbol scopes" and applying the existing algorithm at each level.

Reviewed By: jpienaar

Differential Revision: https://reviews.llvm.org/D72042
2020-01-13 15:23:28 -08:00
River Riddle 4268e4f4b8 [mlir] Change the syntax of AffineMapAttr and IntegerSetAttr to avoid conflicts with function types.
Summary: The current syntax for AffineMapAttr and IntegerSetAttr conflict with function types, making it currently impossible to round-trip function types(and e.g. FuncOp) in the IR. This revision changes the syntax for the attributes by wrapping them in a keyword. AffineMapAttr is wrapped with `affine_map<>` and IntegerSetAttr is wrapped with `affine_set<>`.

Reviewed By: nicolasvasilache, ftynse

Differential Revision: https://reviews.llvm.org/D72429
2020-01-13 13:24:39 -08:00
Lorenzo Chelini 81e7922e83 [mlir] m_Constant()
Summary: Introduce m_Constant() which allows matching a constant operation without forcing the user also to capture the attribute value.

Differential Revision: https://reviews.llvm.org/D72397
2020-01-13 17:22:01 +01:00
Manuel Freiberger 22954a0e40 Add integer bit-shift operations to the standard dialect.
Rename the 'shlis' operation in the standard dialect to 'shift_left'. Add tests
for this operation (these have been missing so far) and add a lowering to the
'shl' operation in the LLVM dialect.

Add also 'shift_right_signed' (lowered to LLVM's 'ashr') and 'shift_right_unsigned'
(lowered to 'lshr').

The original plan was to name these operations 'shift.left', 'shift.right.signed'
and 'shift.right.unsigned'. This works if the operations are prefixed with 'std.'
in MLIR assembly. Unfortunately during import the short form is ambigous with
operations from a hypothetical 'shift' dialect. The best solution seems to omit
dots in standard operations for now.

Closes tensorflow/mlir#226

PiperOrigin-RevId: 286803388
2019-12-22 10:02:13 -08:00
Frank Laub 7811ad3c2b Allow dialect to create friendly names for region arguments
This is the block argument equivalent of the existing `getAsmResultNames` hook.

Closes tensorflow/mlir#329

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/329 from plaidml:flaub-region-arg-names fc7876f2d1335024e441083cd25263fd6247eb7d
PiperOrigin-RevId: 286523299
2019-12-19 22:16:07 -08:00
Uday Bondhugula 47034c4bc5 Introduce prefetch op: affine -> std -> llvm intrinsic
Introduce affine.prefetch: op to prefetch using a multi-dimensional
subscript on a memref; similar to affine.load but has no effect on
semantics, but only on performance.

Provide lowering through std.prefetch, llvm.prefetch and map to llvm's
prefetch instrinsic. All attributes reflected through the lowering -
locality hint, rw, and instr/data cache.

  affine.prefetch %0[%i, %j + 5], false, 3, true : memref<400x400xi32>

Signed-off-by: Uday Bondhugula <uday@polymagelabs.com>

Closes tensorflow/mlir#225

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/225 from bondhugula:prefetch 4c3b4e93bc64d9a5719504e6d6e1657818a2ead0
PiperOrigin-RevId: 286212997
2019-12-18 10:00:04 -08:00
Uday Bondhugula 36a415bcc5 More affine expr simplifications for floordiv and mod
Add one more simplification for floordiv and mod affine expressions.
Examples:
 (2*d0 + 1) floordiv 2 is simplified to d0
 (8*d0 + 4*d1 + d2) floordiv 4 simplified to 4*d0 + d1 + d2 floordiv 4.
 etc.

 Similarly, (4*d1 + 1) mod 2 is simplified to 1,
            (2*d0 + 8*d1) mod 8 simplified to 2*d0 mod 8.

Change getLargestKnownDivisor to return int64_t to be consistent and
to avoid casting at call sites (since the return value is used in expressions
of int64_t/index type).

Signed-off-by: Uday Bondhugula <uday@polymagelabs.com>

Closes tensorflow/mlir#202

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/202 from bondhugula:affine b13fcb2f1c00a39ca5434613a02408e085a80e77
PiperOrigin-RevId: 284866710
2019-12-10 16:00:53 -08:00
Nicolas Vasilache 7b19bd5411 Post-submit cleanups in RecursiveMatchers
This CL addresses leftover cleanups and adds a test mixing RecursiveMatchers and m_Constant
that captures properly.

PiperOrigin-RevId: 284551567
2019-12-09 07:47:35 -08:00
Nicolas Vasilache ade58a268c Add a layer of recursive matchers that compose.
This CL adds support for building matchers recursively.
The following matchers are provided:

1. `m_any()` can match any value
2. `m_val(Value *)` binds to a value and must match it
3. `RecursivePatternMatcher<OpType, Matchers...>` n-arity pattern that matches `OpType` and whose operands must be matched exactly by `Matchers...`.

This allows building expression templates for patterns, declaratively, in a very natural fashion.
For example pattern `p9` defined as follows:
```
  auto mul_of_muladd = m_Op<MulFOp>(m_Op<MulFOp>(), m_Op<AddFOp>());
  auto mul_of_anyadd = m_Op<MulFOp>(m_any(), m_Op<AddFOp>());
  auto p9 = m_Op<MulFOp>(m_Op<MulFOp>(
                     mul_of_muladd, m_Op<MulFOp>()),
                   m_Op<MulFOp>(mul_of_anyadd, mul_of_anyadd));
```

Successfully matches `%6` in:
```
  %0 = addf %a, %b: f32
  %1 = addf %a, %c: f32 // matched
  %2 = addf %c, %b: f32
  %3 = mulf %a, %2: f32 // matched
  %4 = mulf %3, %1: f32 // matched
  %5 = mulf %4, %4: f32 // matched
  %6 = mulf %5, %5: f32 // matched
```

Note that 0-ary matchers can be used as leaves in place of n-ary matchers. This alleviates from passing explicit `m_any()` leaves.

In the future, we may add extra patterns to specify that operands may be matched in any order.

PiperOrigin-RevId: 284469446
2019-12-08 18:09:40 -08:00
Kazuaki Ishizaki 84a6182ddd minor spelling tweaks
Closes tensorflow/mlir#290

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/290 from kiszk:spelling_tweaks_201912 9d9afd16a723dd65754a04698b3976f150a6054a
PiperOrigin-RevId: 284169681
2019-12-06 05:59:30 -08:00
nmostafa daff60cd68 Add UnrankedMemRef Type
Closes tensorflow/mlir#261

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/261 from nmostafa:nmostafa/unranked 96b6e918f6ed64496f7573b2db33c0b02658ca45
PiperOrigin-RevId: 284037040
2019-12-05 13:13:20 -08:00
Tres Popp b8cd0c1486 Move ModuleManager functionality into mlir::SymbolTable.
Note for broken code, the following transformations occurred:
ModuleManager::insert(Block::iterator, Operation*) - > SymbolTable::insert(Operation*, Block::iterator)
ModuleManager::lookupSymbol -> SymbolTable::lookup
ModuleManager::getModule() -> SymbolTable::getOp()
ModuleManager::getContext() -> SymbolTable::getOp()->getContext()
ModuleManager::* -> SymbolTable::*
PiperOrigin-RevId: 283944635
2019-12-05 03:56:46 -08:00
Sean Silva 26484bc0b6 Print out large elementsattr's such that they are parseable.
I found that when running crash reproducers, the elided elementsattr's
would prevent parsing the IR repro. I found myself manually going and
replacing the "..." with some valid IR.

With this change, we now print elided attrs as `opaque<"", "0xDEADBEEF">`
to clearly delineate them as being elided while still being parseable.

PiperOrigin-RevId: 283781806
2019-12-04 10:19:54 -08:00
Julian Gross f7c6bc70a9 Added new FAbs, FCeil, Cos, Neg, Sign, Tanh operations.
Closes tensorflow/mlir#251

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/251 from dfki-jugr:new_ops 0398997bf9953016898f873068e22916a062eb2b
PiperOrigin-RevId: 283750699
2019-12-04 07:17:30 -08:00
Sean Silva 67515e8d7a Verifier: Better error message in case of successor operand mismatch.
In particular, print the successor number in the diagnostic.

PiperOrigin-RevId: 283585084
2019-12-03 11:24:31 -08:00
Alex Zinenko 993e79e9bd Fix ViewOp to have at most one offset operand
As described in the documentation, ViewOp is expected to take an optional
dynamic offset followed by a list of dynamic sizes. However, the ViewOp parser
did not include a check for the offset being a single value and accepeted a
list of values instead.

Furthermore, several tests have been exercising the wrong syntax of a ViewOp,
passing multiple values to the dyanmic stride list, which was not caught by the
parser. The trailing values could have been erronously interpreted as dynamic
sizes. This is likely due to resyntaxing of the ViewOp, with the previous
syntax taking the list of sizes before the offset. Update the tests to use the
syntax with the offset preceding the sizes.

Worse, the conversion of ViewOp to the LLVM dialect assumed the wrong order of
operands with offset in the trailing position, and erronously relied on the
permissive parsing that interpreted trailing dynamic offset values as leading
dynamic sizes. Fix the lowering to use the correct order of operands.

PiperOrigin-RevId: 283532506
2019-12-03 06:23:04 -08:00
Lei Zhang 13c6e419ca Add support for AttrSizedOperandSegments/AttrSizedResultSegments
Certain operations can have multiple variadic operands and their size
relationship is not always known statically. For such cases, we need
a per-op-instance specification to divide the operands into logical
groups or segments. This can be modeled by attributes.

This CL introduces C++ trait AttrSizedOperandSegments for operands and
AttrSizedResultSegments for results. The C++ trait just guarantees
such size attribute has the correct type (1D vector) and values
(non-negative), etc. It serves as the basis for ODS sugaring that
with ODS argument declarations we can further verify the number of
elements match the number of ODS-declared operands and we can generate
handy getter methods.

PiperOrigin-RevId: 282467075
2019-11-25 17:26:50 -08:00
Mahesh Ravishankar 1ea231bd39 Allow memref_cast from static strides to dynamic strides.
Memref_cast supports cast from static shape to dynamic shape
memrefs. The same should be true for strides as well, i.e a memref
with static strides can be casted to a memref with dynamic strides.

PiperOrigin-RevId: 282381862
2019-11-25 11:08:56 -08:00
Alex Zinenko b5af3784a6 Don't force newline before function attributes
Due to legacy reasons, a newline character followed by two spaces was always
inserted before the attributes of the function Op in pretty form. This breaks
formatting when functions are nested in some other operations. Don't print the
newline and just put the attributes on the same line, which is also more
consistent with module Op. Line breaking aware of indentation can be introduced
separately into the parser if deemed useful.

PiperOrigin-RevId: 281721793
2019-11-21 05:08:19 -08:00
MLIR Team 75379a684f Correctly parse empty affine maps.
Previously the test case crashes / produces an error.

PiperOrigin-RevId: 281630540
2019-11-20 18:30:15 -08:00
Mahesh Ravishankar 1145cebdab Verify subview op result has dynamic shape, when sizes are specified.
If the sizes are specified as arguments to the subview op, then the
shape must be dynamic as well.

PiperOrigin-RevId: 281591608
2019-11-20 14:16:05 -08:00
Mahesh Ravishankar 19212105dd Changes to SubViewOp to make it more amenable to canonicalization.
The current SubViewOp specification allows for either all offsets,
shape and stride to be dynamic or all of them to be static. There are
opportunities for more fine-grained canonicalization based on which of
these are static. For example, if the sizes are static, the result
memref is of static shape. The specification of SubViewOp is modified
to allow on or more of offsets, shapes and strides to be statically
specified. The verification is updated to ensure that the result type
of the subview op is consistent with which of these are static and
which are dynamic.

PiperOrigin-RevId: 281560457
2019-11-20 12:32:51 -08:00
River Riddle eb418559ef Add a new OpAsmOpInterface to allow for ops to directly hook into the AsmPrinter.
This interface provides more fine-grained hooks into the AsmPrinter than the dialect interface, allowing for operations to define the asm name to use for results directly on the operations themselves. The hook is also expanded to enable defining named result "groups". Get a special name to use when printing the results of this operation.
The given callback is invoked with a specific result value that starts a
result "pack", and the name to give this result pack. To signal that a
result pack should use the default naming scheme, a None can be passed
in instead of the name.

For example, if you have an operation that has four results and you want
to split these into three distinct groups you could do the following:

  setNameFn(getResult(0), "first_result");
  setNameFn(getResult(1), "middle_results");
  setNameFn(getResult(3), ""); // use the default numbering.

This would print the operation as follows:

  %first_result, %middle_results:2, %0 = "my.op" ...

PiperOrigin-RevId: 281546873
2019-11-20 10:45:45 -08:00
Lei Zhang a0986bf43d NFC: Convert CmpIPredicate in StandardOps to use EnumAttr
This turns several hand-written functions to auto-generated ones.

PiperOrigin-RevId: 280684326
2019-11-15 10:17:31 -08:00
Andy Davis a4669cd3b4 Adds canonicalizer to SubViewOp which folds constants from base memref and operands into the subview result memref type.
Changes SubViewOp to support zero operands case, when offset, strides and sizes are all constant.

PiperOrigin-RevId: 280485075
2019-11-14 12:23:04 -08:00
Nicolas Vasilache f2b6ae9991 Move VectorOps to Tablegen - (almost) NFC
This CL moves VectorOps to Tablegen and cleans up the implementation.

This is almost NFC but 2 changes occur:
  1. an interface change occurs in the padding value specification in vector_transfer_read:
     the value becomes non-optional. As a shortcut we currently use %f0 for all paddings.
     This should become an OpInterface for vectorization in the future.
  2. the return type of vector.type_cast is trivial and simplified to `memref<vector<...>>`

Relevant roundtrip and invalid tests that used to sit in core are moved to the vector dialect.

The op documentation is moved to the .td file.

PiperOrigin-RevId: 280430869
2019-11-14 08:15:23 -08:00
Jacques Pienaar d1c99e10d0 Do not emit aliases when printing local form
Expand local scope printing to skip printing aliases as aliases are printed out at the top of a module and may not be part of the output generated by local scope print.

PiperOrigin-RevId: 280278617
2019-11-13 14:21:49 -08:00
Sean Silva 486f2122cd Add FuncOp::eraseArgument
This is a quite complex operation that users are likely to attempt to write
themselves and get wrong (citation: users=me).

Ideally, we could pull this into FunctionLike, but for now, the
FunctionType rewriting makes it FuncOp specific. We would need some hook
for rewriting the function type (which for LLVM's func op, would need to
rewrite the underlying LLVM type).

PiperOrigin-RevId: 280234164
2019-11-13 10:59:55 -08:00
River Riddle 6df8369941 Rename the current parseSymbolName to parseOptionalSymbolName
The current implementation silently fails if the '@' identifier isn't present, making it similar to the 'optional' parse methods. This change renames the current implementation to 'Optional' and adds a new 'parseSymbolName' that emits an error.

PiperOrigin-RevId: 280214610
2019-11-13 09:32:20 -08:00
River Riddle 626e1fd95e Add an option to print an operation if a diagnostic is emitted on it
It is often helpful to inspect the operation that the error/warning/remark/etc. originated from, especially in the context of debugging or in the case of a verifier failure. This change adds an option 'mlir-print-op-on-diagnostic' that attaches the operation as a note to any diagnostic that is emitted on it via Operation::emit(Error|Warning|Remark). In the case of an error, the operation is printed in the generic form.

PiperOrigin-RevId: 280021438
2019-11-12 11:59:19 -08:00
River Riddle 9b9c647cef Add support for nested symbol references.
This change allows for adding additional nested references to a SymbolRefAttr to allow for further resolving a symbol if that symbol also defines a SymbolTable. If a referenced symbol also defines a symbol table, a nested reference can be used to refer to a symbol within that table. Nested references are printed after the main reference in the following form:

  symbol-ref-attribute ::= symbol-ref-id (`::` symbol-ref-id)*

Example:

  module @reference {
    func @nested_reference()
  }

  my_reference_op @reference::@nested_reference

Given that SymbolRefAttr is now more general, the existing functionality centered around a single reference is moved to a derived class FlatSymbolRefAttr. Followup commits will add support to lookups, rauw, etc. for scoped references.

PiperOrigin-RevId: 279860501
2019-11-11 18:18:31 -08:00
Andy Davis 5cf6e0ce7f Adds std.subview operation which takes dynamic offsets, sizes and strides and returns a memref type which represents sub/reduced-size view of its memref argument.
This operation is a companion operation to the std.view operation added as proposed in "Updates to the MLIR MemRefType" RFC.

PiperOrigin-RevId: 279766410
2019-11-11 10:33:27 -08:00
Uday Bondhugula eb47d5ee66 Fix asm printer for affine expr
- fixes tensorflow/mlir#201

Signed-off-by: Uday Bondhugula <uday@polymagelabs.com>

Closes tensorflow/mlir#204

COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/204 from bondhugula:printfix 3f8a5b65391f45598258b2735fecaa409fbde848
PiperOrigin-RevId: 279115720
2019-11-07 10:27:27 -08:00
Andy Davis 8f00b4494d Swap operand order in std.view operation so that offset appears before dynamic sizes in the operand list.
PiperOrigin-RevId: 279114236
2019-11-07 10:20:23 -08:00
Andy Davis b5654d1311 Add ViewOp verification for dynamic strides, and address some comments from previous change.
PiperOrigin-RevId: 278903187
2019-11-06 11:25:54 -08:00
Andy Davis c38dca7f4b Add ViewOp to the StandardOps dialect, which casts a 1D/i8 element type memref type to an N-D memref type.
Proposed in RFC: https://groups.google.com/a/tensorflow.org/forum/#!searchin/mlir/std.view%7Csort:date/mlir/-wKHANzDNTg/4K6nUAp8AAAJ

Supports creating the N-D memref type with dynamic sizes and at a dynamic offset within the 1D base memref.
This change contains op definition/parsing/printing and tests. Follow up changes will handle constant shape/layout map folding and llvm lowering.

PiperOrigin-RevId: 278869990
2019-11-06 08:54:12 -08:00
River Riddle e4a912eb5a Update the SPV dialect type parser to use the methods on DialectAsmParser directly.
This simplifies the implementation quite a bit, and removes the need for explicit string munging. One change is made to some of the enum elements of SPV_DimAttr to ensure that they are proper identifiers; The string form is now prefixed with 'Dim'.

PiperOrigin-RevId: 278027132
2019-11-01 16:55:25 -07:00
Lei Zhang f143fbfa77 Add ReferToOp attribute constraint for SymbolRefAttr
This constraint can be used to limit a SymbolRefAttr to point
to a specific kind of op in the closest parent with a symbol table.

PiperOrigin-RevId: 278001364
2019-11-01 14:26:36 -07:00
Mehdi Amini 07b4ce7409 Add a test.symbol_scope operation that has the SymbolTable Traits to the Test dialect
PiperOrigin-RevId: 277741687
2019-10-31 09:49:42 -07:00
Sean Silva 66ec24d833 Parse locations in parseGenericOperation
For ops that recursively re-enter the parser to parse an operation (such as
ops with a "wraps" pretty form), this ensures that the wrapped op will parse
its location, which can then be used for the locations of the wrapping op
and any other implicit ops.

PiperOrigin-RevId: 277152636
2019-10-28 15:11:26 -07:00
River Riddle b69e8ee049 Add support for parsing multiple result name groups.
This allows for parsing things like:

%name_1, %name_2:5, %name_3:2 = "my.op" ...

This is useful for operations that have groups of variadic result values. The
total number of results is expected to match the number of results defined by
the operation.

PiperOrigin-RevId: 276703280
2019-10-25 09:34:02 -07:00
River Riddle ef43b56538 Add support for replacing all uses of a symbol.
This requires reconstructing the attribute dictionary of each operation containing a use.

PiperOrigin-RevId: 276520544
2019-10-24 10:47:27 -07:00
River Riddle 21ee4e987f Add @below and @above directives to verify-diagnostics.
This simplifies defining expected-* directives when there are multiple that apply to the next or previous line. @below applies the directive to the next non-designator line, i.e. the next line that does not contain an expected-* designator. @above applies to the previous non designator line.

Examples:

// Expect an error on the next line that does not contain a designator.
// expected-remark@below {{remark on function below}}
// expected-remark@below {{another remark on function below}}
func @bar(%a : f32)

// Expect an error on the previous line that does not contain a designator.
func @baz(%a : f32)
// expected-remark@above {{remark on function above}}
// expected-remark@above {{another remark on function above}}

PiperOrigin-RevId: 276369085
2019-10-23 15:56:29 -07:00
River Riddle 03d7be2aca NFC: Elide the value of a UnitAttr within nested attribute dictionaries.
This matches the behavior of the top level attribute dictionary.

PiperOrigin-RevId: 275879828
2019-10-21 11:02:07 -07:00