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Results 1 - 10 of 34 for inputs_ty (0.31 sec)
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tensorflow/compiler/mlir/tensorflow/ir/tf_ops_n_z.cc
LogicalResult XlaVariadicSortOp::verify() { XlaVariadicSortOp op = *this; const auto &inputs_ty = op.getInputs().getType(); int n_inputs = inputs_ty.size(); auto input_ty_0 = inputs_ty[0].cast<ShapedType>(); if (input_ty_0.hasStaticShape()) { for (int i = 1; i < n_inputs; ++i) { auto input_ty_i = inputs_ty[i].cast<ShapedType>(); if (input_ty_i.hasStaticShape() &&
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/tests/mlir2graphdef/output-shapes-attr.mlir
func.return %graph#0 : tensor<2xi32> } // Test with a TPUPartitionedCallOp that is not inlined. func.func @dont_inline_tpu_partitioned_call(%arg0: tensor<2xi32> {tf._user_specified_name = "inputs_0"}, %arg1: tensor<2xi32> {tf._user_specified_name = "inputs_1"}) -> tensor<2xi32> { %graph = tf_executor.graph {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Mar 25 12:28:56 UTC 2022 - 3.4K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
targets_.emplace_back(t); } } void CSession::Run(TF_Status* s) { if (inputs_.size() != input_values_.size()) { ADD_FAILURE() << "Call SetInputs() before Run()"; return; } ResetOutputValues(); output_values_.resize(outputs_.size(), nullptr); const TF_Output* inputs_ptr = inputs_.empty() ? nullptr : &inputs_[0]; TF_Tensor* const* input_values_ptr =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Oct 15 03:16:52 UTC 2021 - 17.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_a_m.cc
DataFormatVecPermuteOp op = *this; auto input_ty = mlir::dyn_cast<RankedTensorType>(op.getX().getType()); if (!input_ty) return success(); int rank = input_ty.getRank(); if (rank != 1 && rank != 2) return op.emitOpError("requires input of rank 1 or 2"); if (rank == 1) { int64_t dim0 = input_ty.getDimSize(0); if (dim0 != ShapedType::kDynamic && dim0 != 4 && dim0 != 2)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 146.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/lower_tf.cc
// as its an input requirement. 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 =
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 74.9K bytes - Viewed (0) -
src/main/java/org/codelibs/fess/suggest/converter/KatakanaConverter.java
readingList.add(toKatakana(text)); return readingList; } protected String toKatakana(final String inputStr) throws IOException { final StringBuilder kanaBuf = new StringBuilder(); final Reader rd = new StringReader(inputStr); try (TokenStream stream = createTokenStream(rd)) { if (stream == null) { throw new IOException("Invalid tokenizer.");
Registered: Wed Jun 12 15:38:08 UTC 2024 - Last Modified: Thu Feb 22 01:36:54 UTC 2024 - 4.7K bytes - Viewed (0) -
tensorflow/cc/framework/ops.h
for (auto const& x : out) { inputs_.push_back(x); } } typename std::vector<Input>::iterator begin() { return inputs_.begin(); } typename std::vector<Input>::iterator end() { return inputs_.end(); } typename std::vector<Input>::const_iterator begin() const { return inputs_.begin(); } typename std::vector<Input>::const_iterator end() const { return inputs_.end(); } private:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 05:57:22 UTC 2024 - 10.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_ops_tensor_helper.cc
} Type InferReductionOpType(Value input, Value reduction_indices, BoolAttr keep_dims) { Type input_ty = input.getType(); Type element_ty = getElementTypeOrSelf(input_ty); // Output type is unranked if input type is not ranked. auto ranked_ty = mlir::dyn_cast<RankedTensorType>(input_ty); if (!ranked_ty) return UnrankedTensorType::get(element_ty); int64_t rank = ranked_ty.getRank();
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 6.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
} int axis = val.getSExtValue(); auto input_ty = mlir::dyn_cast<RankedTensorType>(op.getInput().getType()); if (!input_ty || !input_ty.hasStaticShape()) { return rewriter.notifyMatchFailure( op, "require the type of input to have static shapes"); } ArrayRef<int64_t> input_shape = input_ty.getShape(); int input_rank = input_ty.getRank(); if (axis < 0) axis += input_rank;
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/cc/framework/ops.cc
namespace tensorflow { Operation::Operation(Node* n) : inputs_(GetInputs(n)), node_(n) {} Output Operation::input(int32_t i) const { CHECK_NOTNULL(node_); CHECK_GE(i, 0); CHECK_LT(i, node_->num_inputs()); // Handle the case where the input was unknown at the time this // Operation was constructed. if (inputs_[i].first == nullptr && inputs_[i].second == -1) { for (const Edge* e : node_->in_edges()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Aug 11 01:20:50 UTC 2021 - 3.5K bytes - Viewed (0)