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Results 21 - 30 of 110 for get_shape (0.17 sec)
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tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
if (!input_ty.hasRank() || input_ty.getRank() != 4) { return failure(); } int64_t batch_cst = input_ty.getShape()[0]; int64_t channels_cst = input_ty.getShape()[3]; int64_t in_y_cst = input_ty.getShape()[1]; int64_t in_x_cst = input_ty.getShape()[2]; int64_t in_spatial_cst = in_y_cst < 0 || in_x_cst < 0 ? -1 : in_y_cst * in_x_cst;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/collection_ops_util.cc
Location loc) { auto buffer_type = mlir::cast<RankedTensorType>(buffer.getType()); if (buffer_type.getShape().size() == 1) return index; // Create a concat of index and trailing zeros. llvm::SmallVector<int64_t, 8> zeros(buffer_type.getShape().size() - 1, 0); auto zeros_tensor = GetR1Const(zeros, builder, loc); return builder.create<TF::ConcatV2Op>( loc,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 14.5K bytes - Viewed (0) -
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/shape_inference.cc
SmallVector<int64_t> new_shape(shape.begin(), shape.end()); // If dimension of the input type is dynamic. Update the // bounds of the dim with the new type if needed. for (int i = 0; i < input_ty.getShape().size(); i++) { if (hlo::isDynamicDimSize(input_ty.getShape()[i])) { new_bounds[i] = new_shape[i]; new_shape[i] = ShapedType::kDynamic; } }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Jun 08 07:28:49 UTC 2024 - 134.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/optimize.cc
// Extract Z from %dot. ArrayRef<int64_t> shape_z = dot.getType().getShape().drop_front(shape_b.size() + shape_y2.size()); // Check %after shape. if (reshape_after.getType().getShape() != ArrayRef<int64_t>(llvm::to_vector( llvm::concat<const int64_t>(shape_b, shape_y1, shape_z)))) { return failure(); } rewriter.replaceOpWithNewOp<mhlo::DotGeneralOp>(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 26.9K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/unroll_batch_matmul.cc
RankedTensorType tensorType = mlir::cast<RankedTensorType>(value.getType()); Type element_type = tensorType.getElementType(); int rank = tensorType.getShape().size(); int num_rows = tensorType.getShape()[rank - 2]; int num_cols = tensorType.getShape()[rank - 1]; std::vector<Value> sliced; if (batch_size == 1) { // Batch size is 1, no splitting is required
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
if (input_ty_i.hasStaticShape() && input_ty_i.getShape() != input_ty_0.getShape()) { return op.emitOpError() << "inputs[" << i << "] has shape [" << input_ty_i.getShape() << "] different than the shape of inputs[0]: " << input_ty_0.getShape(); } } if (op.getDimensionsToReduce().size() > input_ty_0.getRank()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 09 22:07:10 UTC 2024 - 170.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/layout_optimization.cc
if (!type.hasRank()) return type; auto shape = type.getShape(); SmallVector<int64_t, 4> new_shape(shape.size()); for (int i = 0; i < permutation.size(); ++i) { int64_t index = permutation[i]; assert(index < shape.size()); new_shape[index] = shape[i]; } return type.clone(new_shape); } // Move Transpose operations that permute `op` operands after the `op`.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 19.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo_conversions/util.cc
ConversionPatternRewriter& rewriter) { if (index_vector_dim == indices_type.getRank()) { llvm::SmallVector<int64_t, 4> new_start_indices_shape( indices_type.getShape().begin(), indices_type.getShape().end()); new_start_indices_shape.push_back(1); indices_type = RankedTensorType::get(new_start_indices_shape, indices_type.getElementType());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_canonicalize.td
def GetSqueezedPermutation: NativeCodeCall<"GetSqueezedPermutation($0, $1)">; // Check to see if the tensor dimensions can be Squeezed by eliminating 1s' def CanSqueezeTensor : Constraint<CPred< "GetShape($0).getNumElements() > GetSqueezedShape($0).getNumElements()">>; // Pattern to convert TFL_TransposeOp with rank>6 to rank<=6 if there are // redundant dimensions in the tensor. For example- [2x1x3] == [2x3] and 1 is
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Dec 13 20:41:03 UTC 2023 - 2.7K bytes - Viewed (0)