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tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants.mlir
%0 = "tfl.pseudo_sparse_const"() {compressed_data = dense<[1.0, 2.0, 0.5, 0.25,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/flatbuffer2mlir/constants_offset.mlir
%0 = "tfl.pseudo_sparse_const"() {compressed_data = dense<[1.0, 2.0, 0.5, 0.25,...
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 09:41:17 UTC 2024 - 12.1K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/legalize_hlo_conversions/scatter.h
// // Eg 1. An update in canonical form: // * indices shape(A,B,C) // * updates shape(A,B,D,E,F) // Then: // * D,E,F are the update window dims [2,3,4] // * C is the index vector dimension // * A,B iterate over the updates and indices // // If `update_window_dims` are not the trailing dimensions then updates must be // transposed. // // Eg 2. An update in non-canonical form: // * indices shape(a,b,c) // * updates shape(d,e,f,a,b)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.1K bytes - Viewed (0) -
src/index/suffixarray/suffixarray.go
// indices in the first place (if it returned fewer than that then // there cannot be more). for n1 := n; ; n1 += 2 * (n - len(result)) /* overflow ok */ { indices := x.Lookup(lit, n1) if len(indices) == 0 { return } slices.Sort(indices) pairs := make([]int, 2*len(indices)) result = make([][]int, len(indices)) count := 0 prev := 0
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu May 23 01:00:11 UTC 2024 - 9.5K bytes - Viewed (0) -
src/cmd/vendor/golang.org/x/tools/internal/typeparams/common.go
return e.X, e.Lbrack, e.Indices, e.Rbrack } return nil, token.NoPos, nil, token.NoPos } // PackIndexExpr returns an *ast.IndexExpr or *ast.IndexListExpr, depending on // the cardinality of indices. Calling PackIndexExpr with len(indices) == 0 // will panic. func PackIndexExpr(x ast.Expr, lbrack token.Pos, indices []ast.Expr, rbrack token.Pos) ast.Expr { switch len(indices) { case 0: panic("empty indices")
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Fri May 03 02:38:00 UTC 2024 - 4.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.td
def LowerScatterNdOp : Pat<(TF_ScatterNdOp $indices, TensorOf<[AnyInteger, AnyFloat, AnyComplex]>:$updates, $shape, ConstantStrAttr<StrAttr, "">), (TF_TensorScatterAddOp (TF_FillOp $shape, (TF_ConstOp (GetScalarOfType<0> $updates))), $indices, $updates)>; def LowerScatterNdOpDefaultBadIndicesPolicy : Pat<(TF_ScatterNdOp $indices,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 04 13:30:42 UTC 2024 - 24.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/stablehlo/passes/fold_constant_transpose.cc
namespace { // Returns contiguous offset (address) of the position represented by `indices` // in a `shape` shaped tensor. Assumes row-major order. `indices` and `shape` // should have the same size. // Example: Index (2, 3) of a (4, 5)-shaped tensor has the contiguous offset of // 2 * 5 + 3 = 13. int64_t GetContiguousOffset(const ArrayRef<int64_t> indices, const ArrayRef<int64_t> shape) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 7.7K bytes - Viewed (0) -
tensorflow/compiler/aot/codegen.cc
indices += absl::StrCat("[dim", dim, "]"); count *= shape.dimensions(dim); } } rewrites->push_back({"{{I}}", absl::StrCat(i)}); rewrites->push_back({"{{TYPE}}", type}); rewrites->push_back({"{{DIM_VARS}}", absl::StrJoin(dim_vars, ", ")}); rewrites->push_back({"{{DIM_SIZES}}", dim_sizes}); rewrites->push_back({"{{INDICES}}", indices});
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 01:20:01 UTC 2024 - 36.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/collection_ops_util.cc
ArrayRef<Value>{a, b}); } namespace { int64_t GetFirstIfIndicesAreContiguous(Value indices) { auto type = mlir::dyn_cast<RankedTensorType>(indices.getType()); if (!type) return -1; auto indices_op = indices.getDefiningOp(); if (!indices_op) return -1; auto const_op = llvm::dyn_cast<TF::ConstOp>(indices_op); if (!const_op) return -1;
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/aot/codegen_test_h.golden
// // T* argN_data() // Returns the buffer of type T for positional argument N. // // T& argN(...dim indices...) // Returns a reference to the value of type T for positional argument N, // with dim indices specifying which value. No bounds checking is performed // on dim indices. void set_arg0_data(const void* data) { set_arg_data(0, data); } float* arg0_data() {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 02 01:20:01 UTC 2024 - 16.6K bytes - Viewed (0)