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Results 41 - 50 of 169 for getElementDtype (0.2 sec)
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tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.h
bool IsExpressedTypeF32(QuantizedType quantized_type); // Given a value, extract the `ElementType`. // `value` should be a non-null `TensorType`. inline Type GetElementType(const Value value) { return mlir::cast<TensorType>(value.getType()).getElementType(); } // Returns true iff `type` is a uniform quantized type whose storage type is // 8-bit integer and expressed type is f32. bool IsI8F32UniformQuantizedType(Type type);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo_conversions/reduce.h
Value iota = reduce_op.getInputs().back(); if (!MatchIota(reduce_op.getDimensions(), iota)) return failure(); // Match the reduction computation. const bool is_float = mlir::isa<FloatType>(operand_init.getElementType()); if (failed(MatchReduceToArgMinMaxType1(reduce_op, is_float, is_argmax)) && failed(MatchReduceToArgMinMaxType2(reduce_op, is_argmax))) return rewriter.notifyMatchFailure(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/tflite_legalize_hlo.cc
public: using ConvertReduceOpToArgMinMax::ConvertReduceOpToArgMinMax; bool IsValueInitValue(const DenseElementsAttr& attr) const override { auto element_type = attr.getType().getElementType(); if (attr.getNumElements() != 1 || !element_type.isIntOrFloat()) return false; if (mlir::isa<FloatType>(element_type)) { auto value = *attr.value_begin<APFloat>();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_quantize_op_utils.cc
UnrankedTensorType CreateUnknownShapeFromElementType(Type tensor_type) { if (!mlir::cast<TensorType>(tensor_type)) return UnrankedTensorType(); return UnrankedTensorType::get( mlir::cast<TensorType>(tensor_type).getElementType()); } } // namespace quant
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 1.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/fold_broadcast_pass.cc
if (!lhs || !rhs) return {}; ShapedType type = mlir::cast<ShapedType>(op->getType()); if (!type.hasStaticShape()) { return {}; } Type etype = type.getElementType(); // Evaluate for element types. if (!mlir::isa<ElementType>(etype)) { return {}; } // Special case for folding splats no matter how large.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/ops/tf_op_quant_spec.cc
} bool IsValueWithQuantizablePrecision(Value val) { auto type = mlir::dyn_cast<ShapedType>(val.getType()); if (!type) return false; // Supported original tensor data types. if (type.getElementType().isF32() || type.getElementType().isBF16()) return true; return false; } std::optional<tensorflow::quantization::QuantizationComponentSpec> GetWeightComponentSpec(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_traits.h
QuantizedType GetResultQuantizedType(int index) { auto op = this->getOperation(); const auto result_type = op->getResult(index).getType().template cast<ShapedType>(); if (!result_type.getElementType().template isa<FloatType>()) return {}; Builder builder(op->getContext()); const IntegerType storage_type = builder.getIntegerType(BitWidth); const double scale = static_cast<double>(ScaleMantissa) *
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 05 07:39:40 UTC 2024 - 5.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/post_quantize.cc
/*output_axis=*/0, &input_indices, &new_values); auto result_type = RankedTensorType::get(output_shape, output_type.getElementType()); auto values_type = RankedTensorType::get( output_shape, mlir::cast<quant::UniformQuantizedType>(output_type.getElementType()) .getStorageType()); rewriter.replaceOpWithNewOp<QConstOp>( op, TypeAttr::get(result_type),
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 17.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
GetI64ElementsAttr({0}, &rewriter), input_type.getElementType()); assert(!input_type.getElementType().isInteger(1) && "data type should not be i1"); BuildReduceBody<AddOp>(input_type.getElementType(), &reduce.getBody(), &rewriter); rewriter.replaceOpWithNewOp<ReshapeOp>( op,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/utils/bfloat16_type.cc
return isa<FloatType>(type) && type.getIntOrFloatBitWidth() > 16; } Type ToBfloat16Type(Type type) { if (auto shaped = mlir::dyn_cast<ShapedType>(type)) { const Type elem = shaped.getElementType(); if (IsLargeFloatType(elem)) { return shaped.clone(BFloat16Type::get(type.getContext())); } } else if (IsLargeFloatType(type)) { return BFloat16Type::get(type.getContext()); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 1.6K bytes - Viewed (0)