- Sort Score
- Result 10 results
- Languages All
Results 1 - 10 of 32 for getShape (0.14 sec)
-
tensorflow/compiler/mlir/quantization/common/ir/UniformSupport.cc
if (auto tensor_type = dyn_cast<RankedTensorType>(input_type)) return RankedTensorType::get(tensor_type.getShape(), elemental_type); if (auto tensor_type = dyn_cast<UnrankedTensorType>(input_type)) return UnrankedTensorType::get(elemental_type); if (auto vector_type = dyn_cast<VectorType>(input_type)) return VectorType::get(vector_type.getShape(), elemental_type); // If the expressed types match, just use the new elemental type.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 08 02:10:16 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/batchmatmul_to_einsum.cc
auto rhs_type = mlir::dyn_cast<RankedTensorType>(input_rhs.getType()); if (!lhs_type || !rhs_type) return failure(); auto lhs_shape = lhs_type.getShape(); auto rhs_shape = rhs_type.getShape(); // Ensure that input ranks are at least 2. const int dims_a = lhs_shape.size(); const int dims_b = rhs_shape.size(); if (dims_a < 2 || dims_b < 2) { return failure();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 3.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/fold_broadcast.cc
// Get the unbroadcasted shapes in the operand order. std::array<llvm::ArrayRef<int64_t>, 2> operand_shapes; operand_shapes[i] = broadcast_arg_type.getShape(); operand_shapes[1 - i] = argument_type.getShape(); // Check that the input of the broadcast and the other operand is broadcast // compatible. llvm::SmallVector<int64_t, 4> broadcasted_shape;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 7.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/utils/utils.td
def CreateNoneValue : NativeCodeCall< "$_builder.create<TFL::NoValueOp>($0.getLoc(), $_builder.getUnitAttr())">; // Returns shape of a ranked tensor. // if called without a ranked tensor it will fail. def GetShape: NativeCodeCall<"GetShape($0)">; // Constraint that values in list attribute are all ones. def IsAllOnesConstant : Constraint<CPred<"TFL::IsAllOnesConstant($0)">>;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 4.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/utils/tf_to_xla_attribute_utils_test.cc
ShapedType packed_shape_type = mlir::dyn_cast<ShapedType>(packed_value.getType()); llvm::SmallVector<int64_t> packed_shape(packed_shape_type.getShape().begin(), packed_shape_type.getShape().end()); EXPECT_THAT(packed_shape, testing::ElementsAreArray(expected_packed_shape)); llvm::SmallVector<int8_t> packed_value_vector( packed_value_attr.getValues<int8_t>());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 3.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/composite_avg_pool.cc
TorchAvgPoolData data; auto op_type = mlir::cast<RankedTensorType>(op.getOperand(0).getType()); data.n = op_type.getShape()[0]; data.c = op_type.getShape()[1]; data.h_in = op_type.getShape()[2]; data.w_in = op_type.getShape()[3]; std::vector<int32_t> kernel_size; GetI32VectorFromDenseI64CompositeAttr(composite_attrs, "kernel_size",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 28 23:16:05 UTC 2024 - 9.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/optimize.cc
// Thus, we fail to match if the consuming reshape rank is larger. ArrayRef<int64_t> input_shape = input_type.getShape(); if (reshape_shape.size() > input_shape.size()) return failure(); // Extend the input shape with leading 1s to match the broadcast shape. ArrayRef<int64_t> broadcast_shape = output_type.getShape(); SmallVector<int64_t, 4> input_shape_extended;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 8.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize_batch_matmul.cc
bmm_op->getLoc(), permuation_tensor_type, DenseElementsAttr::get(permuation_tensor_type, permute)); auto input_shape = input_type.getShape(); llvm::SmallVector<int64_t, 4> permuted_shape(input_shape.begin(), input_shape.end()); // Swaps z dimension and x dimension to get permuted shape.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 9.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/export_utils.h
// ShapeContainerT is any type with the following methods: // bool hasRank() // ArrayRef<int64_t> getShape() // This includes mlir::TF::ShapeAttr and mlir::ShapedType. template <typename ShapeContainerT> void SetTensorShapeProto(ShapeContainerT shape, TensorShapeProto* proto) { if (shape.hasRank()) { for (int64_t dim : shape.getShape()) { proto->add_dim()->set_size(mlir::ShapedType::isDynamic(dim) ? -1 : dim); } } else {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Apr 26 09:37:10 UTC 2024 - 3.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_arith_ops_folder.h
return operand_ty == result_ty && identity_ty.hasStaticShape() && result_ty.hasStaticShape() && OpTrait::util::staticallyKnownBroadcastable(operand_ty.getShape(), identity_ty.getShape()); }; // Check that we have a constant operand on one side (candidate for identity). const bool is_commutative =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 5.3K bytes - Viewed (0)