Home | History | Annotate | Download | only in kernels 
      1 /* Copyright 2015 The TensorFlow Authors. All Rights Reserved.
      2 
      3 Licensed under the Apache License, Version 2.0 (the "License");
      4 you may not use this file except in compliance with the License.
      5 You may obtain a copy of the License at
      6 
      7     http://www.apache.org/licenses/LICENSE-2.0
      8 
      9 Unless required by applicable law or agreed to in writing, software
     10 distributed under the License is distributed on an "AS IS" BASIS,
     11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     12 See the License for the specific language governing permissions and
     13 limitations under the License.
     14 ==============================================================================*/
     15 
     16 #define EIGEN_USE_THREADS
     17 
     18 #include "tensorflow/core/kernels/conditional_accumulator_base_op.h"
     19 
     20 namespace tensorflow {
     21 
     22 /**
     23  * Defines a AccumulatorSetGlobalStepOp, the execution of which sets the
     24  * global_step variable of the given ConditionalAccumulator.
     25  */
     26 class AccumulatorSetGlobalStepOp
     27     : public ConditionalAccumulatorBaseSyncOpKernel {
     28  public:
     29   explicit AccumulatorSetGlobalStepOp(OpKernelConstruction* context)
     30       : ConditionalAccumulatorBaseSyncOpKernel(context) {}
     31 
     32  protected:
     33   void Compute(OpKernelContext* ctx,
     34                ConditionalAccumulatorBase* accumulator) override {
     35     // Check signature
     36     OP_REQUIRES_OK(ctx, ctx->MatchSignature({DT_STRING_REF, DT_INT64}, {}));
     37 
     38     // Get input new_global_step
     39     const Tensor* new_global_step_tensor;
     40     OP_REQUIRES_OK(ctx, ctx->input("new_global_step", &new_global_step_tensor));
     41     if (!TensorShapeUtils::IsScalar(new_global_step_tensor->shape())) {
     42       ctx->CtxFailureWithWarning(errors::InvalidArgument(
     43           "Argument num_required must be scalar, but had bad shape ",
     44           new_global_step_tensor->shape().DebugString()));
     45     }
     46 
     47     Status status =
     48         accumulator->SetGlobalStep(new_global_step_tensor->scalar<int64>()());
     49     if (!status.ok()) ctx->CtxFailureWithWarning(status);
     50   }
     51 
     52  private:
     53   TF_DISALLOW_COPY_AND_ASSIGN(AccumulatorSetGlobalStepOp);
     54 };
     55 
     56 REGISTER_KERNEL_BUILDER(Name("AccumulatorSetGlobalStep").Device(DEVICE_CPU),
     57                         AccumulatorSetGlobalStepOp);
     58 
     59 /**
     60  * Defines a AccumulatorNumAccumulatedOp, which returns the number of gradients
     61  * that have been accumulated in the given ConditionalAccumulator, and emits it
     62  * as an output tensor.
     63  */
     64 class AccumulatorNumAccumulatedOp
     65     : public ConditionalAccumulatorBaseSyncOpKernel {
     66  public:
     67   explicit AccumulatorNumAccumulatedOp(OpKernelConstruction* context)
     68       : ConditionalAccumulatorBaseSyncOpKernel(context) {}
     69 
     70  protected:
     71   void Compute(OpKernelContext* ctx,
     72                ConditionalAccumulatorBase* accumulator) override {
     73     // Check signature
     74     OP_REQUIRES_OK(ctx, ctx->MatchSignature({DT_STRING_REF}, {DT_INT32}));
     75     Tensor* Taccumulator_size = nullptr;
     76     OP_REQUIRES_OK(
     77         ctx, ctx->allocate_output(0, TensorShape({}), &Taccumulator_size));
     78     Taccumulator_size->flat<int32>().setConstant(
     79         accumulator->num_accumulated());
     80   }
     81 
     82  private:
     83   TF_DISALLOW_COPY_AND_ASSIGN(AccumulatorNumAccumulatedOp);
     84 };
     85 
     86 REGISTER_KERNEL_BUILDER(Name("AccumulatorNumAccumulated").Device(DEVICE_CPU),
     87                         AccumulatorNumAccumulatedOp);
     88 
     89 }  // namespace tensorflow
     90