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15 files changed
| Original file line number | Diff line number | Diff line change | |
|---|---|---|---|
@@ -17,9 +17,8 @@ | |||
| 17 | 17 | Suppress warnings for currently-invalid documentation comments. | |
| 18 | 18 | ||
| 19 | 19 | CS1570: XML comment has badly formed XML | |
| 20 | - CS1572: XML comment has a param tag, but there is no parameter by that name | ||
| 21 | 20 | --> | |
| 22 | - <NoWarn>$(NoWarn),1570,1572</NoWarn> | ||
| 21 | + <NoWarn>$(NoWarn),1570</NoWarn> | ||
| 23 | 22 | </PropertyGroup> | |
| 24 | 23 | ||
| 25 | 24 | </Project> | |
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|---|---|---|---|
@@ -68,7 +68,7 @@ public IInitializer random_normal_initializer(float mean = 0.0f, | |||
| 68 | 68 | /// </summary> | |
| 69 | 69 | /// <param name="factor"></param> | |
| 70 | 70 | /// <param name="mode"></param> | |
| 71 | - /// <param name="distribution"></param> | ||
| 71 | + /// <param name="uniform"></param> | ||
| 72 | 72 | /// <param name="seed"></param> | |
| 73 | 73 | /// <param name="dtype"></param> | |
| 74 | 74 | /// <returns></returns> | |
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|---|---|---|---|
@@ -18,7 +18,7 @@ public static extern void TFE_RegisterGradientFunction(gradient_function_callbac | |||
| 18 | 18 | /// <param name="op_name"></param> | |
| 19 | 19 | /// <param name="op_inputs"></param> | |
| 20 | 20 | /// <param name="op_outputs"></param> | |
| 21 | - /// <param name="num_attrs"></param> | ||
| 21 | + /// <param name="attrs_string"></param> | ||
| 22 | 22 | /// <param name="output_grads">previous node ouput</param> | |
| 23 | 23 | /// <param name="skip_input_indices"></param> | |
| 24 | 24 | /// <returns></returns> | |
@@ -355,7 +355,7 @@ public delegate void delete_backward_function_callback(string op_name, | |||
| 355 | 355 | /// TFE_ExecutorWaitForAllPendingNodes before calling this API if you want to | |
| 356 | 356 | /// make sure all nodes are finished. | |
| 357 | 357 | /// </summary> | |
| 358 | - /// <param name="e">TFE_Executor*</param> | ||
| 358 | + /// <param name="executor">TFE_Executor*</param> | ||
| 359 | 359 | [DllImport(TensorFlowLibName)] | |
| 360 | 360 | public static extern void TFE_DeleteExecutor(IntPtr executor); | |
| 361 | 361 | ||
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|---|---|---|---|
@@ -30,7 +30,7 @@ public class nn_grad | |||
| 30 | 30 | /// Return the gradients for the 2 inputs of bias_op. | |
| 31 | 31 | /// </summary> | |
| 32 | 32 | /// <param name="op"></param> | |
| 33 | - /// <param name="grad"></param> | ||
| 33 | + /// <param name="grads"></param> | ||
| 34 | 34 | /// <returns></returns> | |
| 35 | 35 | [RegisterGradient("BiasAdd")] | |
| 36 | 36 | public static Tensor[] _BiasAddGrad(Operation op, Tensor[] grads) | |
@@ -78,8 +78,7 @@ public static Tensor[] _SoftmaxGrad(Operation op, Tensor[] grads) | |||
| 78 | 78 | /// Gradient function for SoftmaxCrossEntropyWithLogits. | |
| 79 | 79 | /// </summary> | |
| 80 | 80 | /// <param name="op"></param> | |
| 81 | - /// <param name="grad_loss"></param> | ||
| 82 | - /// <param name="grad_grad"></param> | ||
| 81 | + /// <param name="grads"></param> | ||
| 83 | 82 | /// <returns></returns> | |
| 84 | 83 | [RegisterGradient("SoftmaxCrossEntropyWithLogits")] | |
| 85 | 84 | public static Tensor[] _SoftmaxCrossEntropyWithLogitsGrad(Operation op, Tensor[] grads) | |
| Original file line number | Diff line number | Diff line change | |
|---|---|---|---|
@@ -23,7 +23,6 @@ public interface ITensorFlowObject : IDisposable | |||
| 23 | 23 | /// <summary> | |
| 24 | 24 | /// Called when the instance is created. | |
| 25 | 25 | /// </summary> | |
| 26 | - /// <param name="args"></param> | ||
| 27 | 26 | void __init__(); | |
| 28 | 27 | ||
| 29 | 28 | void __enter__(); | |
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|---|---|---|---|
@@ -161,15 +161,7 @@ public static Tensor elu(Tensor features, string name = "Elu") | |||
| 161 | 161 | /// <summary> | |
| 162 | 162 | /// Gradient for batch normalization. | |
| 163 | 163 | /// </summary> | |
| 164 | - /// <param name="y_backprop"></param> | ||
| 165 | - /// <param name="x"></param> | ||
| 166 | - /// <param name="scale"></param> | ||
| 167 | - /// <param name="reserve_space_1"></param> | ||
| 168 | - /// <param name="reserve_space_2"></param> | ||
| 169 | - /// <param name="epsilon"></param> | ||
| 170 | - /// <param name="data_format"></param> | ||
| 171 | - /// <param name="is_training"></param> | ||
| 172 | - /// <param name="name"></param> | ||
| 164 | + /// <param name="params"></param> | ||
| 173 | 165 | /// <returns></returns> | |
| 174 | 166 | public static Tensor[] fused_batch_norm_grad(FusedBatchNormParams @params) | |
| 175 | 167 | { | |
| Original file line number | Diff line number | Diff line change | |
|---|---|---|---|
@@ -637,7 +637,7 @@ public static Tensor ZerosLikeOutsideLoop(Operation op, int index) | |||
| 637 | 637 | /// <param name="cond"></param> | |
| 638 | 638 | /// <param name="body"></param> | |
| 639 | 639 | /// <param name="loop_vars"></param> | |
| 640 | - /// <param name="i"></param> | ||
| 640 | + /// <param name="shape_invariants"></param> | ||
| 641 | 641 | public static TItem while_loop<TItem>(Func<TItem, Tensor> cond, Func<TItem, TItem> body, TItem loop_vars, | |
| 642 | 642 | TensorShape[] shape_invariants = null, | |
| 643 | 643 | int parallel_iterations = 10, | |
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|---|---|---|---|
@@ -158,7 +158,7 @@ public static Tensor multinomial(Tensor logits, int num_samples, int? seed = nul | |||
| 158 | 158 | /// </summary> | |
| 159 | 159 | /// <param name="logits"></param> | |
| 160 | 160 | /// <param name="num_samples"></param> | |
| 161 | - /// <param name="output_dtype"></param> | ||
| 161 | + /// <param name="dtype"></param> | ||
| 162 | 162 | /// <param name="seed"></param> | |
| 163 | 163 | /// <returns></returns> | |
| 164 | 164 | private static Tensor multinomial_categorical_impl(Tensor logits, int num_samples, TF_DataType dtype = TF_DataType.DtInvalid, | |
| Original file line number | Diff line number | Diff line change | |
|---|---|---|---|
@@ -151,7 +151,7 @@ public static Tensor variable_handle_from_shape_and_dtype(TensorShape shape, TF_ | |||
| 151 | 151 | /// Sets the shape inference result HandleData on tensor. | |
| 152 | 152 | /// </summary> | |
| 153 | 153 | /// <param name="handle"></param> | |
| 154 | - /// <param name="full_handle_data"></param> | ||
| 154 | + /// <param name="handle_data"></param> | ||
| 155 | 155 | /// <param name="graph_mode"></param> | |
| 156 | 156 | private static void _set_handle_shapes_and_types(Tensor handle, HandleData handle_data, bool graph_mode) | |
| 157 | 157 | { | |
| Original file line number | Diff line number | Diff line change | |
|---|---|---|---|
@@ -103,8 +103,6 @@ public partial class c_api | |||
| 103 | 103 | /// <param name="num_dims"></param> | |
| 104 | 104 | /// <param name="data"></param> | |
| 105 | 105 | /// <param name="len">num_bytes, ex: 6 * sizeof(float)</param> | |
| 106 | - /// <param name="deallocator"></param> | ||
| 107 | - /// <param name="deallocator_arg"></param> | ||
| 108 | 106 | [MethodImpl(MethodImplOptions.AggressiveInlining)] | |
| 109 | 107 | public static unsafe IntPtr TF_NewTensor(TF_DataType dataType, long[] dims, int num_dims, IntPtr data, ulong len) | |
| 110 | 108 | { | |
@@ -118,8 +116,6 @@ public static unsafe IntPtr TF_NewTensor(TF_DataType dataType, long[] dims, int | |||
| 118 | 116 | /// <param name="num_dims"></param> | |
| 119 | 117 | /// <param name="data"></param> | |
| 120 | 118 | /// <param name="len">num_bytes, ex: 6 * sizeof(float)</param> | |
| 121 | - /// <param name="deallocator"></param> | ||
| 122 | - /// <param name="deallocator_arg"></param> | ||
| 123 | 119 | [MethodImpl(MethodImplOptions.AggressiveInlining)] | |
| 124 | 120 | public static unsafe IntPtr TF_NewTensor(TF_DataType dataType, long[] dims, int num_dims, void* data, ulong len) | |
| 125 | 121 | { | |
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