| 121 | } |
| 122 | |
| 123 | Status XlaResource::SetZeroValue(xla::XlaBuilder* builder) { |
| 124 | if (type_ == DT_INVALID) { |
| 125 | return errors::InvalidArgument( |
| 126 | "Resource '", name_, |
| 127 | "' must be initialized with a valid type before use."); |
| 128 | } |
| 129 | switch (kind_) { |
| 130 | case kVariable: { |
| 131 | value_ = |
| 132 | xla::Broadcast(XlaHelpers::Zero(builder, type_), shape_.dim_sizes()); |
| 133 | break; |
| 134 | } |
| 135 | case kTensorArray: { |
| 136 | TensorShape ta_shape; |
| 137 | ta_shape.AddDim(max_array_size_); |
| 138 | ta_shape.AppendShape(shape_); |
| 139 | value_ = xla::Broadcast(XlaHelpers::Zero(builder, type_), |
| 140 | ta_shape.dim_sizes()); |
| 141 | break; |
| 142 | } |
| 143 | case kStack: { |
| 144 | TensorShape ta_shape; |
| 145 | ta_shape.AddDim(max_array_size_); |
| 146 | ta_shape.AppendShape(shape_); |
| 147 | value_ = |
| 148 | xla::Tuple(builder, {xla::Broadcast(XlaHelpers::Zero(builder, type_), |
| 149 | ta_shape.dim_sizes()), |
| 150 | xla::ConstantR0<int32>(builder, 0)}); |
| 151 | break; |
| 152 | } |
| 153 | |
| 154 | case kInvalid: |
| 155 | default: |
| 156 | LOG(FATAL) << "Invalid resource type"; |
| 157 | } |
| 158 | return Status::OK(); |
| 159 | } |
| 160 | |
| 161 | Status XlaResource::GetOrCreateTensorArrayGradient(const string& source, |
| 162 | xla::XlaBuilder* builder, |
no test coverage detected