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tensorflow/c/eager/dlpack.cc
owner->reference.Unref(); delete owner; } // Converts TF_DATAType to DLPack data type. DLDataType GetDlDataType(TF_DataType data_type, TF_Status* status) { DLDataType dtype; dtype.lanes = 1; dtype.bits = TF_DataTypeSize(data_type) * 8; switch (data_type) { case TF_DataType::TF_BOOL: dtype.code = DLDataTypeCode::kDLBool; break; case TF_DataType::TF_HALF: case TF_DataType::TF_FLOAT:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Feb 15 09:49:45 UTC 2024 - 12.8K bytes - Viewed (0) -
tensorflow/c/tf_tensor.cc
return CreateTensor(buf, dtype, dims, num_dims, len); } TF_Tensor* TF_NewTensor(TF_DataType dtype, const int64_t* dims, int num_dims, void* data, size_t len, void (*deallocator)(void* data, size_t len, void* arg), void* deallocator_arg) { TF_ManagedBuffer* buf = nullptr; if (dtype != TF_STRING && dtype != TF_RESOURCE &&
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sun Apr 14 21:57:32 UTC 2024 - 11.5K bytes - Viewed (0) -
tensorflow/c/c_test_util.cc
void PlaceholderHelper(TF_Graph* graph, TF_Status* s, const char* name, TF_DataType dtype, const std::vector<int64_t>& dims, TF_Operation** op) { TF_OperationDescription* desc = TF_NewOperation(graph, "Placeholder", name); TF_SetAttrType(desc, "dtype", dtype); if (!dims.empty()) { TF_SetAttrShape(desc, "shape", dims.data(), dims.size()); }
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/c/experimental/gradients/math_grad.cc
auto dtype = input->DataType(); if (DataTypeIsFloating(BaseType(dtype)) || DataTypeIsInteger(BaseType(dtype))) { return tensorflow::ops::Identity(ctx, input, output, name); } else if (!DataTypeIsComplex(BaseType(dtype)) && BaseType(dtype) != DT_VARIANT) { return errors::InvalidArgument( "Expected numeric or variant tensor, got dtype ", dtype); }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 28 13:53:47 UTC 2024 - 15.2K bytes - Viewed (0) -
tensorflow/compiler/jit/node_matchers.cc
if (tensor.dtype() != expected_tensor.dtype()) { if (listener->IsInterested()) { *listener << "\nexpected tensor of type " << DataType_Name(expected_tensor.dtype()) << " but found one of type " << DataType_Name(tensor.dtype()); return false; } } switch (tensor.dtype()) { case DT_HALF:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri Jun 03 16:15:20 UTC 2022 - 16.8K bytes - Viewed (0) -
tensorflow/compiler/jit/shape_inference.cc
DataType dtype = n->output_type(0); AddNodeAttr("dtype", dtype, &const_def); TensorProto value; value.set_dtype(dtype); value.mutable_tensor_shape()->add_dim()->set_size( shape_proto.dim_size()); for (const auto& dim : shape_proto.dim()) { if (dtype == DT_INT32) { value.add_int_val(dim.size());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 31 00:41:19 UTC 2024 - 13K bytes - Viewed (0) -
tensorflow/compiler/jit/xla_launch_util.cc
// Copy XLA results to the OpOutputList. int output_num = 0; for (int i = 0, end = ctx->num_outputs(); i < end; ++i) { const DataType& type = compilation_result.outputs[i].type; VLOG(2) << "Populating output for retval " << i << " type " << DataTypeString(type); if (type == DT_VARIANT) { return absl::UnimplementedError( "Support for TensorList crossing the XLA/TF boundary "
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu May 16 00:36:08 UTC 2024 - 40.4K bytes - Viewed (0) -
tensorflow/compiler/jit/pjrt_device_context.cc
shape_determination_fns.layout_preference_fn( cpu_tensor->shape(), cpu_tensor->dtype(), std::nullopt); TF_ASSIGN_OR_RETURN(xla::Shape shape, shape_determination_fns.shape_representation_fn( cpu_tensor->shape(), cpu_tensor->dtype(), /*fast_mem=*/false, layout_preference)); const xla::Layout* device_layout = &(shape.layout());
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Sat Apr 13 08:49:31 UTC 2024 - 11.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/transforms/host_runtime/tpu_metadata_utils.cc
for (auto operand_type_and_idx : llvm::enumerate(op.getOperandTypes())) { Type operand_type = operand_type_and_idx.value(); int index = operand_type_and_idx.index(); tensorflow::tpu::TPUCompileMetadataProto::Arg* arg = metadata->add_args(); tensorflow::DataType dtype; tensorflow::Status status = tensorflow::ConvertToDataType(operand_type, &dtype); if (!status.ok()) return op.emitOpError(
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Apr 25 16:01:03 UTC 2024 - 10.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/translate/mlir_roundtrip_flags.cc
absl::StrSplit(type, absl::ByAnyChar("()")); // If type has subtypes then parts[0] = type, parts[1] = subtypes, // parts[2] = "" if (parts.size() != 3 && parts.size() != 1) { return errors::InvalidArgument("Invalid type '", type, "'"); } else if (parts.size() == 3) { // First part is the type, second is the subtype ArrayInfo::SubTypeInfo subtype;
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed May 01 11:17:36 UTC 2024 - 10.4K bytes - Viewed (0)