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tensorflow/compiler/mlir/lite/transforms/lower_static_tensor_list.cc
OpT op, typename OpT::Adaptor adaptor, ConversionPatternRewriter &rewriter) const override { Type dtype = op.getElementDtype(); if (!(dtype.isF16() || dtype.isF32() || dtype.isF64() || dtype.isInteger(1) || dtype.isInteger(8) || dtype.isInteger(16) || dtype.isInteger(32) || dtype.isInteger(64))) { const char *error_info = "requires element_dtype to be 1-bit/8-bit/16-bit/32-bit/64-bit "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 70.7K bytes - Viewed (0) -
tensorflow/c/eager/c_api_distributed_test.cc
" attr {" " key: 'dtype'" " value {" " type: DT_FLOAT" " }" " }" " }" " node_def {" " name: 'read1'" " op: 'ReadVariableOp'" " input: 'var'" " device: '/job:localhost/replica:0/task:1/device:CPU:0'" " attr {" " key: 'dtype'" " value {"
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 15 09:49:45 UTC 2024 - 23.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/c/c_api_unified_experimental_mlir.cc
ctx.appendDialectRegistry(registry); ctx.loadAllAvailableDialects(); } Status ConvertDataTypeToTensor(tensorflow::DataType dtype, Builder builder, Type* type) { Status s = tensorflow::ConvertDataType(dtype, builder, type); if (s.ok()) *type = UnrankedTensorType::get(*type); return s; } class MlirTensor : public TracingTensorHandle { public: explicit MlirTensor(Value value)
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 28.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/utils/convert_tensor_test.cc
class ConvertTensorTest : public ::testing::Test { protected: template <typename T> void VerifyConversion(std::initializer_list<T> values, DataType dtype, mlir::Type expected_ty) { mlir::Builder b(expected_ty.getContext()); Tensor tensor(dtype, TensorShape({static_cast<int64_t>(values.size())})); tensor.flat<T>().setValues(values); auto value_or = ConvertTensor(tensor, &b);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.4K bytes - Viewed (0) -
tensorflow/c/experimental/next_pluggable_device/tensor_pjrt_buffer_util.cc
tensorflow::AsyncValueTensor* av_tensor = tensorflow::AsyncValueTensor::FromTensor(tensor); if (av_tensor == nullptr) { TF_ASSIGN_OR_RETURN( *tensor, MakeTensorFromPjRtBuffer(tensor->dtype(), tensor->shape(), std::move(buffer))); } else { av_tensor->SetBuffer(std::move(buffer)); } return absl::OkStatus(); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 05:48:24 UTC 2024 - 3.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/import_model.cc
VLOG(1) << "[potentially conservative] Op type `" << node.type_string() << "` is stateful but effects not modelled"; } else { // See if any resource type is used. bool resource = false; std::function<bool(mlir::Type)> record_resource; record_resource = [&](mlir::Type type) { type.walk([&](mlir::Type t) {
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/tensorflow/utils/export_utils.cc
} Status ConvertAttribute(mlir::Type type, bool remove_ref_type, AttrValue* value) { DataType dtype; TF_RETURN_IF_ERROR(ConvertToDataType(type, &dtype)); if (tensorflow::IsRefType(dtype)) dtype = tensorflow::RemoveRefType(dtype); value->set_type(dtype); return absl::OkStatus(); } Status ConvertAttribute(const mlir::TypeAttr& type, bool remove_ref_type,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 17:58:54 UTC 2024 - 19.7K bytes - Viewed (0) -
tensorflow/cc/ops/while_loop.cc
NodeBuilder::NodeOut enter_input(enter_output.node(), enter_output.index()); const int next_output_index = 0; DataType dtype = enter_output.node()->output_type(0); NodeBuilder::NodeOut next_input(NextIterationName(scope, loop_var_idx), next_output_index, dtype); std::vector<NodeBuilder::NodeOut> input_list({enter_input, next_input}); const string unique_name = scope.GetUniqueNameForOp("Merge");
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Feb 26 01:01:21 UTC 2024 - 9.5K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/api/v1/compile_mlir_util.cc
size_t idx = type_and_idx.index(); auto result_ty = mlir::cast<mlir::RankedTensorType>(type_and_idx.value()); // If the result type isn't static, then the owner of the result may be a // cast op from a more specific bounded type to an unbounded dynamic type. // Use the bounded type to get the buffer size. mlir::RankedTensorType buffer_ty = result_ty; if (!buffer_ty.hasStaticShape()) {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 21 17:24:39 UTC 2024 - 45.3K bytes - Viewed (0) -
tensorflow/c/eager/c_api_unified_experimental_graph.cc
operation->SetOpName(absl::StrCat("_input_", inputs_.size()).c_str())); TF_RETURN_IF_ERROR(operation->SetAttrType("dtype", dtype)); if (!shape.unknown_rank()) { TF_RETURN_IF_ERROR(operation->SetAttrShape( "shape", reinterpret_cast<int64_t*>(shape.dim_sizes().data()), shape.dims())); } int num_outputs = 1; std::vector<AbstractTensorHandle*> outputs(num_outputs);
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Mar 12 20:00:09 UTC 2024 - 15.4K bytes - Viewed (0)