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  /external/tensorflow/tensorflow/compiler/jit/
xla_device_ops.cc 24 void XlaDeviceDummyOp::Compute(OpKernelContext* ctx) {
  /external/tensorflow/tensorflow/core/kernels/
l2loss_op.h 28 void Compute(OpKernelContext* context) {}
mfcc_dct.cc 60 void MfccDct::Compute(const std::vector<double> &input,
bucketize_op.cc 36 static Status Compute(OpKernelContext* context,
62 void Compute(OpKernelContext* context) override {
70 OP_REQUIRES_OK(context, functor::BucketizeFunctor<Device, T>::Compute(
fact_op.cc 80 void Compute(OpKernelContext* context) override = 0;
83 void Compute(OpKernelContext* context, const char* const facts[],
101 void Compute(OpKernelContext* context) override {
102 FactOpKernel::Compute(context, kFacts1, kNum1);
111 void Compute(OpKernelContext* context) override {
112 FactOpKernel::Compute(context, kFacts2, kNum2);
immutable_constant_op.cc 86 void ImmutableConstantOp::Compute(OpKernelContext* ctx) {
matrix_diag_op.h 72 EIGEN_ALWAYS_INLINE static void Compute(
82 EIGEN_ALWAYS_INLINE static void Compute(
mfcc.cc 47 void Mfcc::Compute(const std::vector<double>& spectrogram_frame,
54 mel_filterbank_.Compute(spectrogram_frame, &working);
62 dct_.Compute(working, output);
one_hot_op.h 58 EIGEN_ALWAYS_INLINE static void Compute(
quantize_and_dequantize_op.h 37 static void Compute(const Device& d, typename TTypes<T>::ConstVec input,
reverse_sequence_op.h 63 EIGEN_ALWAYS_INLINE static void Compute(
softmax_op_functor.h 44 static void Compute(const Device& d, typename TTypes<T>::ConstMatrix logits,
xent_op.h 48 static void Compute(const Device& d, typename TTypes<T>::ConstMatrix logits,
bincount_op_gpu.cu.cc 38 static Status Compute(OpKernelContext* context,
cast_op.cc 60 void CastOpBase::Compute(OpKernelContext* ctx) {
matrix_set_diag_op_gpu.cu.cc 63 static void Compute(OpKernelContext* context, const GPUDevice& device,
mfcc_mel_filterbank.cc 168 // Compute the mel spectrum from the squared-magnitude FFT input by taking the
171 void MfccMelFilterbank::Compute(const std::vector<double> &input,
179 LOG(ERROR) << "Input too short to compute filterbank";
aggregate_ops.h 36 static void Compute(const Device& d, typename TTypes<T>::Flat out,
53 static void Compute(const Device& d, typename TTypes<T>::Flat out,
72 static void Compute(const Device& d, typename TTypes<T>::Flat out,
93 static void Compute(const Device& d, typename TTypes<T>::Flat out,
116 static void Compute(const Device& d, typename TTypes<T>::Flat out,
141 static void Compute(const Device& d, typename TTypes<T>::Flat out,
165 static void Compute(
189 static void Compute(
212 static void Compute(
  /external/tensorflow/tensorflow/core/common_runtime/
threadpool_device.cc 47 void ThreadPoolDevice::Compute(OpKernel* op_kernel, OpKernelContext* context) {
58 op_kernel->Compute(context);
60 op_kernel->Compute(context);
device.h 78 // Performs the actual compute function.
81 // some initialization before each compute.
82 virtual void Compute(OpKernel* op_kernel, OpKernelContext* context) {
83 op_kernel->Compute(context);
86 // Asynchronous kernel's compute.
  /external/tensorflow/tensorflow/core/common_runtime/sycl/
sycl_device.cc 28 void SYCLDevice::Compute(OpKernel* op_kernel, OpKernelContext* context) {
36 op_kernel->Compute(context);
  /external/gemmlowp/internal/
compute.h 15 // compute.h: the central stage of the Gemm computation, operates
17 // to compute a block of the product.
51 void Compute(int depth) {
106 void Compute(const KernelBase& kernel, const BlockParams& block_params,
109 ScopedProfilingLabel label("compute");
113 impl.Compute(depth);
  /external/tensorflow/tensorflow/compiler/tf2xla/
xla_compilation_device.cc 92 void XlaCompilationDevice::Compute(OpKernel* op_kernel,
94 VLOG(4) << "XlaCompilationDevice::Compute "
112 op_kernel->Compute(context);
  /external/tensorflow/tensorflow/contrib/tensorrt/kernels/
trt_engine_op.cc 52 void TRTEngineOp::Compute(OpKernelContext* context) {
  /external/v8/src/heap/
gc-idle-time-handler.cc 122 GCIdleTimeAction GCIdleTimeHandler::Compute(double idle_time_in_ms,

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