| Commit message (Collapse) | Author | Age | Files | Lines |
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properly value-typed.
Summary: These were temporary methods used to simplify the transition.
Reviewed By: antiagainst
Differential Revision: https://reviews.llvm.org/D72548
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PiperOrigin-RevId: 286906740
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* Fixes use of anonymous namespace for static methods.
* Uses explicit qualifiers(mlir::) instead of wrapping the definition with the namespace.
PiperOrigin-RevId: 286222654
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This is more efficient, and allows for these to fire in more situations: e.g. createOrFold, DialectConversion, etc.
PiperOrigin-RevId: 285476837
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an optional location.
In some situations a diagnostic may optionally be emitted by the presence of a location, e.g. attribute and type verification. These situations currently require extra 'if(loc) emitError(...); return failure()' wrappers that make verification clunky. These new overloads take an optional location and a list of arguments to the diagnostic, and return a LogicalResult. We take the arguments directly and return LogicalResult instead of returning InFlightDiagnostic because we cannot create a valid diagnostic with a null location. This creates an awkward situation where a user may try to treat the, potentially null, diagnostic as a valid one and encounter crashes when attaching notes/etc. Below is an example of how these methods simplify some existing usages:
Before:
if (loc)
emitError(*loc, "this is my diagnostic with argument: ") << 5;
return failure();
After:
return emitOptionalError(loc, "this is my diagnostic with argument: ", 5);
PiperOrigin-RevId: 283853599
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This greatly simplifies the implementation and removes custom parser functionality. The necessary methods are added to the DialectAsmParser.
PiperOrigin-RevId: 278015983
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Now that a proper parser is passed to these methods, there isn't a need to explicitly pass a source location. The source location can be recovered from the parser as necessary. This removes the need to explicitly decode an SMLoc in the case where we don't need to, which can be expensive.
This requires adding some basic nesting support to the parser for supporting nested parsers to allow for remapping source locations of the nested parsers to the top level parser for accurate diagnostics. This is due to the fact that the attribute and type parsers use different source buffers than the top level parser, as they may be represented in string form.
PiperOrigin-RevId: 278014858
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parsing.
These classes are functionally similar to the OpAsmParser/Printer classes and provide hooks for parsing attributes/tokens/types/etc. This change merely sets up the base infrastructure and updates the parser hooks, followups will add hooks as needed to simplify existing handrolled dialect parsers.
This has various different benefits:
*) Attribute/Type parsing is much simpler to define.
*) Dialect attributes/types that contain other attributes/types can now use aliases.
*) It provides a 'spec' with which we may use in the future to auto-generate parsers/printers.
*) Error messages emitted by attribute/type parsers can provide character exact locations rather than "beginning of the string"
PiperOrigin-RevId: 278005322
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Closes tensorflow/mlir#177
PiperOrigin-RevId: 275692653
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Closes tensorflow/mlir#172
COPYBARA_INTEGRATE_REVIEW=https://github.com/tensorflow/mlir/pull/172 from kiszk:quantops e27b57eac8f4c6ef7ee6a6f7b497d3e2f56f6798
PiperOrigin-RevId: 273879164
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PiperOrigin-RevId: 272851237
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The first dim length of the axisStats attribute should equals to the slice size
of the input argument when splitted by the axis dimension.
PiperOrigin-RevId: 272798042
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A new converter with per axis quantization parameters is added to quantize a
dense elements attribute. For each slice along the quantization axis, it
creates an uniform quantized value converter, with different scale and zero
point, and quantizes the values in the slice.
The current implementation doesn't handle sparse elements attributes.
PiperOrigin-RevId: 270121986
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These directives were temporary during the generalization of FunctionPass/ModulePass to OpPass.
PiperOrigin-RevId: 268970259
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Since we apply nudging for the zero point to make sure the nudged zerop points
can be in the range of [qmin, qmax], the constraint that rmin / rmax should
stride zero isn't necessary.
This also matches the documentation of tensorflow's FakeQuantWithMinMaxArgs op,
where min and max don't need to stride zero:
https://www.tensorflow.org/api_docs/python/tf/quantization/fake_quant_with_min_max_args
PiperOrigin-RevId: 268296285
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This is also to add the test to the fakeQuantAttrsToType for per-channel fake quant.
PiperOrigin-RevId: 268260032
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PiperOrigin-RevId: 268090906
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For per channel fake quant attributes, the returned type should be
UniformQuantizedPerAxisType. Currently, this method isn't under test because we
haven't added the quant_ConstFakeQuantPerAxis op and the convert method.
PiperOrigin-RevId: 268084017
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We should consider both signed and narrow_range cases.
PiperOrigin-RevId: 266167366
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PiperOrigin-RevId: 266022088
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PiperOrigin-RevId: 264193915
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Switch to C++14 standard method as llvm::make_unique has been removed (
https://reviews.llvm.org/D66259). Also mark some targets as c++14 to ease next
integrates.
PiperOrigin-RevId: 263953918
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Since raw pointers are always passed around for IR construct without
implying any ownership transfer, it can be error prone to have implicit
ownership transferred the same way.
For example this code can seem harmless:
Pass *pass = ....
pm.addPass(pass);
pm.addPass(pass);
pm.run(module);
PiperOrigin-RevId: 263053082
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The current implementation only returns one element for the splat case, which often comes as a surprise; leading to subtle/confusing bugs. The new behavior will include an iterate over the full range of elements, as defined by the shaped type, by providing the splat value for each iterator index.
PiperOrigin-RevId: 262756780
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This will allow for reusing the same pattern list, which may be costly to continually reconstruct, on multiple invocations.
PiperOrigin-RevId: 262664599
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This allows for proper forward declaration, as opposed to leaking the internal implementation via a using directive. This also allows for all pattern building to go through 'insert' methods on the OwningRewritePatternList, replacing uses of 'push_back' and 'RewriteListBuilder'.
PiperOrigin-RevId: 261816316
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Some TensorFlow simulated quantize ops such as QuantizeAndDequantizeV2Op have
attribute for the sign of the quantization, so quant_ConstFakeQuant should be
able to represent it with the new attribute is added.
The method for converting these attributes to an QuantizedType is updated to
handle this new argument.
PiperOrigin-RevId: 258810290
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This patch added a new argument to the fakeQuantAttrsToType utility method, so
it can be used to convert min/max to quantized type with different signed
storage types.
PiperOrigin-RevId: 258382538
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Move the data members out of Function and into a new impl storage class 'FunctionStorage'. This allows for Function to become value typed, which will greatly simplify the transition of Function to FuncOp(given that FuncOp is also value typed).
PiperOrigin-RevId: 255983022
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into the mlir namespace.
Now that Locations are attributes, they have direct access to the MLIR context. This allows for simplifying error emission by removing unnecessary context lookups.
PiperOrigin-RevId: 255112791
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DenseElementsAttr.
PiperOrigin-RevId: 253910543
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construction. This essentially means that we always auto-detect splat data and only store the minimum amount of data necessary. Support for parsing dense splats, and removing SplatElementsAttr(now that it is redundant) will come in followup cls
PiperOrigin-RevId: 252720561
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match/rewrite methods with an instance of the source op instead of a raw Operation*.
--
PiperOrigin-RevId: 250003405
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notify the PatternRewriter that the operation is being replaced.
--
PiperOrigin-RevId: 248965082
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This is in preparation for making it also support/be a parent class of MemRefType. MemRefs have similar shape/rank/element semantics and it would be useful to be able to use these same utilities for them.
This CL should not change any semantics and only change variables, types, string literals, and comments. In follow-up CLs I will prepare all callers to handle MemRef types or remove their dependence on ShapedType.
Discussion/Rationale in https://groups.google.com/a/tensorflow.org/forum/#!topic/mlir/cHLoyfGu8y8
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PiperOrigin-RevId: 248476449
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Adding the additional layer of directory was discussed offline and matches the Target/ tree. The names match the defacto convention we seem to be following where the C++ namespace is ^(.+)Ops/$ matched against the directory name.
This is in preparation for patching the Quantizer into this tree, which would have been confusing without moving the Quantization dialect to its more proper home. It is left to others to move other dialects if desired.
Tested:
ninja check-mlir
--
PiperOrigin-RevId: 248171982
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