@@ -0,0 +1,14 @@ | |||||
using System; | |||||
using System.Collections.Generic; | |||||
using System.Text; | |||||
namespace Tensorflow | |||||
{ | |||||
public struct TF_AttrMetadata | |||||
{ | |||||
public char is_list; | |||||
public long list_size; | |||||
public TF_AttrType type; | |||||
public long total_size; | |||||
} | |||||
} |
@@ -0,0 +1,19 @@ | |||||
using System; | |||||
using System.Collections.Generic; | |||||
using System.Text; | |||||
namespace Tensorflow | |||||
{ | |||||
public enum TF_AttrType | |||||
{ | |||||
TF_ATTR_STRING = 0, | |||||
TF_ATTR_INT = 1, | |||||
TF_ATTR_FLOAT = 2, | |||||
TF_ATTR_BOOL = 3, | |||||
TF_ATTR_TYPE = 4, | |||||
TF_ATTR_SHAPE = 5, | |||||
TF_ATTR_TENSOR = 6, | |||||
TF_ATTR_PLACEHOLDER = 7, | |||||
TF_ATTR_FUNC = 8 | |||||
} | |||||
} |
@@ -40,6 +40,33 @@ namespace Tensorflow | |||||
[DllImport(TensorFlowLibName)] | [DllImport(TensorFlowLibName)] | ||||
public static extern IntPtr TF_OperationDevice(IntPtr oper); | public static extern IntPtr TF_OperationDevice(IntPtr oper); | ||||
/// <summary> | |||||
/// Fills in `value` with the value of the attribute `attr_name`. `value` must | |||||
/// point to an array of length at least `max_length` (ideally set to | |||||
/// TF_AttrMetadata.total_size from TF_OperationGetAttrMetadata(oper, | |||||
/// attr_name)). | |||||
/// </summary> | |||||
/// <param name="oper">TF_Operation*</param> | |||||
/// <param name="attr_name">const char*</param> | |||||
/// <param name="status">TF_Status*</param> | |||||
/// <returns></returns> | |||||
[DllImport(TensorFlowLibName)] | |||||
public static extern TF_AttrMetadata TF_OperationGetAttrMetadata(IntPtr oper, string attr_name, IntPtr status); | |||||
/// <summary> | |||||
/// Fills in `value` with the value of the attribute `attr_name`. `value` must | |||||
/// point to an array of length at least `max_length` (ideally set to | |||||
/// TF_AttrMetadata.total_size from TF_OperationGetAttrMetadata(oper, | |||||
/// attr_name)). | |||||
/// </summary> | |||||
/// <param name="oper">TF_Operation*</param> | |||||
/// <param name="attr_name">const char*</param> | |||||
/// <param name="value">void* </param> | |||||
/// <param name="max_length">size_t</param> | |||||
/// <param name="status">TF_Status*</param> | |||||
[DllImport(TensorFlowLibName)] | |||||
public static extern void TF_OperationGetAttrString(IntPtr oper, string attr_name, IntPtr value, uint max_length, IntPtr status); | |||||
/// <summary> | /// <summary> | ||||
/// Sets `output_attr_value` to the binary-serialized AttrValue proto | /// Sets `output_attr_value` to the binary-serialized AttrValue proto | ||||
/// representation of the value of the `attr_name` attr of `oper`. | /// representation of the value of the `attr_name` attr of `oper`. | ||||
@@ -170,6 +197,20 @@ namespace Tensorflow | |||||
[DllImport(TensorFlowLibName)] | [DllImport(TensorFlowLibName)] | ||||
public static extern void TF_SetAttrShape(IntPtr desc, string attr_name, long[] dims, int num_dims); | public static extern void TF_SetAttrShape(IntPtr desc, string attr_name, long[] dims, int num_dims); | ||||
/// <summary> | |||||
/// Call some TF_SetAttr*() function for every attr that is not | |||||
/// inferred from an input and doesn't have a default value you wish to | |||||
/// keep. | |||||
/// | |||||
/// `value` must point to a string of length `length` bytes. | |||||
/// </summary> | |||||
/// <param name="desc">TF_OperationDescription*</param> | |||||
/// <param name="attr_name">const char*</param> | |||||
/// <param name="value">const void*</param> | |||||
/// <param name="length">size_t</param> | |||||
[DllImport(TensorFlowLibName)] | |||||
public static extern void TF_SetAttrString(IntPtr desc, string attr_name, string value, uint length); | |||||
[DllImport(TensorFlowLibName)] | [DllImport(TensorFlowLibName)] | ||||
public static extern void TF_SetAttrTensor(IntPtr desc, string attr_name, IntPtr value, IntPtr status); | public static extern void TF_SetAttrTensor(IntPtr desc, string attr_name, IntPtr value, IntPtr status); | ||||
@@ -0,0 +1,85 @@ | |||||
using Microsoft.VisualStudio.TestTools.UnitTesting; | |||||
using System; | |||||
using System.Collections.Generic; | |||||
using System.Text; | |||||
using Tensorflow; | |||||
namespace TensorFlowNET.UnitTest | |||||
{ | |||||
/// <summary> | |||||
/// tensorflow\c\c_api_test.cc | |||||
/// `class CApiAttributesTest` | |||||
/// </summary> | |||||
[TestClass] | |||||
public class CApiAttributesTestcs : CApiTest, IDisposable | |||||
{ | |||||
private Graph graph_; | |||||
private int counter_; | |||||
private Status s_; | |||||
public CApiAttributesTestcs() | |||||
{ | |||||
s_ = new Status(); | |||||
graph_ = new Graph(); | |||||
} | |||||
private OperationDescription init(string type) | |||||
{ | |||||
// Construct op_name to match the name used by REGISTER_OP in the | |||||
// ATTR_TEST_REGISTER calls above. | |||||
string op_name = "CApiAttributesTestOp"; | |||||
if (type.Contains("list(")) | |||||
{ | |||||
op_name += "List"; | |||||
type = type.Substring(5, type.Length - 6); | |||||
} | |||||
op_name += type; | |||||
return c_api.TF_NewOperation(graph_, op_name, $"name{counter_++}"); | |||||
} | |||||
/// <summary> | |||||
/// REGISTER_OP for CApiAttributesTest test cases. | |||||
/// Registers two ops, each with a single attribute called 'v'. | |||||
/// The attribute in one op will have a type 'type', the other | |||||
/// will have list(type). | |||||
/// </summary> | |||||
/// <param name="type"></param> | |||||
private void ATTR_TEST_REGISTER_OP(string type) | |||||
{ | |||||
} | |||||
private void EXPECT_TF_META(Operation oper, string attr_name, int expected_list_size, TF_AttrType expected_type, uint expected_total_size) | |||||
{ | |||||
var m = c_api.TF_OperationGetAttrMetadata(oper, attr_name, s_); | |||||
EXPECT_EQ(TF_Code.TF_OK, s_.Code); | |||||
char e = expected_list_size >= 0 ? (char)1 : (char)0; | |||||
EXPECT_EQ(e, m.is_list); | |||||
EXPECT_EQ(expected_list_size, m.list_size); | |||||
EXPECT_EQ(expected_type, m.type); | |||||
EXPECT_EQ(expected_total_size, m.total_size); | |||||
} | |||||
[TestMethod] | |||||
public void String() | |||||
{ | |||||
//var desc = init("string"); | |||||
//c_api.TF_SetAttrString(desc, "v", "bunny", 5); | |||||
//var oper = c_api.TF_FinishOperation(desc, s_); | |||||
//ASSERT_EQ(TF_Code.TF_OK, s_.Code); | |||||
//EXPECT_TF_META(oper, "v", -1, TF_AttrType.TF_ATTR_STRING, 5); | |||||
//var value = new char[5]; | |||||
//c_api.TF_OperationGetAttrString(oper, "v", value, 5, s_); | |||||
//EXPECT_EQ(TF_Code.TF_OK, s_.Code); | |||||
//EXPECT_EQ("bunny", value, 5)); | |||||
} | |||||
public void Dispose() | |||||
{ | |||||
graph_.Dispose(); | |||||
s_.Dispose(); | |||||
} | |||||
} | |||||
} |
@@ -176,11 +176,6 @@ namespace TensorFlowNET.UnitTest | |||||
} | } | ||||
public static Operation Neg(Operation n, Graph graph, Status s, string name = "neg") | public static Operation Neg(Operation n, Graph graph, Status s, string name = "neg") | ||||
{ | |||||
return NegHelper(n, graph, s, name); | |||||
} | |||||
public static Operation NegHelper(Operation n, Graph graph, Status s, string name) | |||||
{ | { | ||||
OperationDescription desc = c_api.TF_NewOperation(graph, "Neg", name); | OperationDescription desc = c_api.TF_NewOperation(graph, "Neg", name); | ||||
var neg_input = new TF_Output(n, 0); | var neg_input = new TF_Output(n, 0); | ||||
@@ -221,19 +216,5 @@ namespace TensorFlowNET.UnitTest | |||||
{ | { | ||||
return Const(new Tensor(v), graph, s, name); | return Const(new Tensor(v), graph, s, name); | ||||
} | } | ||||
public static unsafe IntPtr Int32Tensor(int v) | |||||
{ | |||||
bool deallocator_called = false; | |||||
const int num_bytes = sizeof(int); | |||||
var dotHandle = Marshal.AllocHGlobal(num_bytes * 1); | |||||
*(int*)dotHandle = v; | |||||
return c_api.TF_NewTensor(TF_DataType.TF_INT32, new long[0], 0, dotHandle, num_bytes, | |||||
(IntPtr values, IntPtr len, ref bool closure) => | |||||
{ | |||||
// Free the original buffer and set flag | |||||
// Marshal.FreeHGlobal(dotHandle); | |||||
}, ref deallocator_called); | |||||
} | |||||
} | } | ||||
} | } |