- Sort Score
- Result 10 results
- Languages All
Results 1 - 3 of 3 for Platen (0.08 sec)
-
tensorflow/compiler/mlir/lite/transforms/optimize.cc
(std::equal(i1, reduced_e1, i2)); } // Check if the value of the last dimension of type1 is equal to the number of // elements in type2. This is a required condition to flatten type2 to form a // 1D array and allow the binaryOp handle the broadcasting implicitly. bool IsLastDimEqualToNumElements(Type type1, Type type2) { return (mlir::cast<ShapedType>(type1).getRank() >= 1 &&
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/import_model.cc
// linearized function argument or return on a FunctionDef, and hence to an // mlir::func::FuncOp argument / return. // // This must match the linearization that happens in `tf.nest.flatten`. // In particular, dict values should be linearized in sorted key order. // // The linearized index paths can be returned back to a structured // representation (e.g. to emit C structs matching a signature) with a simple
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 183.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo.cc
rhs, DenseIntElementsAttr::get( RankedTensorType::get({rhs_rank}, rewriter.getI64Type()), rhs_permutation)); // Reshapes lhs to flatten out_dimensions and contracting_dimensions. llvm::SmallVector<int64_t, 4> lhs_flattened_shape = Concat<int64_t>( lhs_dot_dimensions_info.batch_dimensions().SizesArray(), llvm::ArrayRef<int64_t>{
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 154.9K bytes - Viewed (0)