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Diffstat (limited to 'tensorflow/c/c_api.h')
| -rw-r--r-- | tensorflow/c/c_api.h | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/tensorflow/c/c_api.h b/tensorflow/c/c_api.h index 7e97351c8a..850f6ecd63 100644 --- a/tensorflow/c/c_api.h +++ b/tensorflow/c/c_api.h @@ -1131,6 +1131,7 @@ TF_CAPI_EXPORT extern void TF_AbortWhile(const TF_WhileParams* params); // Adds operations to compute the partial derivatives of sum of `y`s w.r.t `x`s, // i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2... +// // `dx` are used as initial gradients (which represent the symbolic partial // derivatives of some loss function `L` w.r.t. `y`). // `dx` must be nullptr or have size `ny`. @@ -1139,6 +1140,12 @@ TF_CAPI_EXPORT extern void TF_AbortWhile(const TF_WhileParams* params); // The partial derivatives are returned in `dy`. `dy` should be allocated to // size `nx`. // +// Gradient nodes are automatically named under the "gradients/" prefix. To +// guarantee name uniqueness, subsequent calls to the same graph will +// append an incremental tag to the prefix: "gradients_1/", "gradients_2/", ... +// See TF_AddGradientsWithPrefix, which provides a means to specify a custom +// name prefix for operations added to a graph to compute the gradients. +// // WARNING: This function does not yet support all the gradients that python // supports. See // https://www.tensorflow.org/code/tensorflow/cc/gradients/README.md @@ -1147,6 +1154,33 @@ TF_CAPI_EXPORT void TF_AddGradients(TF_Graph* g, TF_Output* y, int ny, TF_Output* x, int nx, TF_Output* dx, TF_Status* status, TF_Output* dy); +// Adds operations to compute the partial derivatives of sum of `y`s w.r.t `x`s, +// i.e., d(y_1 + y_2 + ...)/dx_1, d(y_1 + y_2 + ...)/dx_2... +// This is a variant of TF_AddGradients that allows to caller to pass a custom +// name prefix to the operations added to a graph to compute the gradients. +// +// `dx` are used as initial gradients (which represent the symbolic partial +// derivatives of some loss function `L` w.r.t. `y`). +// `dx` must be nullptr or have size `ny`. +// If `dx` is nullptr, the implementation will use dx of `OnesLike` for all +// shapes in `y`. +// The partial derivatives are returned in `dy`. `dy` should be allocated to +// size `nx`. +// `prefix` names the scope into which all gradients operations are being added. +// `prefix` must be unique within the provided graph otherwise this operation +// will fail. If `prefix` is nullptr, the default prefixing behaviour takes +// place, see TF_AddGradients for more details. +// +// WARNING: This function does not yet support all the gradients that python +// supports. See +// https://www.tensorflow.org/code/tensorflow/cc/gradients/README.md +// for instructions on how to add C++ more gradients. +TF_CAPI_EXPORT void TF_AddGradientsWithPrefix(TF_Graph* g, const char* prefix, + TF_Output* y, int ny, + TF_Output* x, int nx, + TF_Output* dx, TF_Status* status, + TF_Output* dy); + // Create a TF_Function from a TF_Graph // // Params: |