/external/tensorflow/tensorflow/core/kernels/ |
D | mkl_qmatmul_op.cc | 160 const Tensor& weight_tensor = in Compute() local 183 : weight_tensor.shape(); in Compute() 217 weight.SetUsrMem(weight_md, &weight_tensor); in Compute() 265 CacheWeight(context, matmul_fwd_pd, weight_data, weight_tensor, in Compute() 274 weight.SetUsrMem(weight_md, &weight_tensor); in Compute() 283 const_cast<Tweight*>(weight_tensor.flat<Tweight>().data())); in Compute() 288 bias_tensor, weight_tensor); in Compute() 379 const Tensor& bias_tensor, const Tensor& weight_tensor) { in GetBiasHandle() argument 398 int k = weight_tensor.dim_size(0); in GetBiasHandle() 399 int n = weight_tensor.dim_size(1); in GetBiasHandle() [all …]
|
D | mkl_matmul_op_fused.cc | 54 const Tensor& weight_tensor = ctx->input(this->kInputIndexWeight); in Compute() local 67 : weight_tensor.shape(); in Compute() 141 T* weight_data = const_cast<T*>(weight_tensor.flat<T>().data()); in Compute()
|
/external/tensorflow/tensorflow/python/feature_column/ |
D | feature_column.py | 2053 weight_tensor = sparse_tensors.weight_tensor 2054 if weight_tensor is not None: 2055 weight_tensor = sparse_ops.sparse_reshape( 2056 weight_tensor, [array_ops.shape(weight_tensor)[0], -1]) 2070 sparse_weights=weight_tensor, 2510 sparse_weights = sparse_tensors.weight_tensor 2632 sparse_weights = sparse_tensors.weight_tensor 2976 weight_tensor = inputs.get(self.weight_feature_key) 2977 if weight_tensor is None: 2979 weight_tensor = sparse_tensor_lib.convert_to_tensor_or_sparse_tensor( [all …]
|
D | feature_column_v2.py | 2566 weight_tensor = sparse_tensors.weight_tensor 2567 if weight_tensor is not None: 2568 weight_tensor = sparse_ops.sparse_reshape( 2569 weight_tensor, [array_ops.shape(weight_tensor)[0], -1]) 2574 sparse_weights=weight_tensor, 3199 sparse_weights = sparse_tensors.weight_tensor 3500 sparse_weights = sparse_tensors.weight_tensor 4079 def _transform_weight_tensor(self, weight_tensor): argument 4080 if weight_tensor is None: 4082 weight_tensor = sparse_tensor_lib.convert_to_tensor_or_sparse_tensor( [all …]
|
D | feature_column_test.py | 510 self.assertIsNone(id_weight_pair.weight_tensor) 525 self.assertIsNone(id_weight_pair.weight_tensor) 841 self.assertIsNone(id_weight_pair.weight_tensor) 864 self.assertIsNone(id_weight_pair.weight_tensor) 1189 id_tensor=ids_and_weights[0], weight_tensor=ids_and_weights[1]) 1277 id_tensor=ids_and_weights[0], weight_tensor=ids_and_weights[1]) 3559 self.assertIsNone(id_weight_pair.weight_tensor) 3578 self.assertIsNone(id_weight_pair.weight_tensor) 3635 self.assertIsNone(id_weight_pair.weight_tensor) 3657 self.assertIsNone(id_weight_pair.weight_tensor) [all …]
|
D | sequence_feature_column_test.py | 760 self.assertIsNone(id_weight_pair.weight_tensor) 835 self.assertIsNone(id_weight_pair.weight_tensor) 888 self.assertIsNone(id_weight_pair.weight_tensor) 914 self.assertIsNone(id_weight_pair.weight_tensor) 955 self.assertIsNone(id_weight_pair.weight_tensor)
|
D | feature_column_v2_test.py | 662 self.assertIsNone(id_weight_pair.weight_tensor) 680 self.assertIsNone(id_weight_pair.weight_tensor) 1058 self.assertIsNone(id_weight_pair.weight_tensor) 1070 self.assertIsNone(id_weight_pair.weight_tensor) 1436 id_tensor=ids_and_weights[0], weight_tensor=ids_and_weights[1]) 1547 id_tensor=ids_and_weights[0], weight_tensor=ids_and_weights[1]) 4113 self.assertIsNone(id_weight_pair.weight_tensor) 4138 self.assertIsNone(id_weight_pair.weight_tensor) 4185 self.assertIsNone(id_weight_pair.weight_tensor) 4212 self.assertIsNone(id_weight_pair.weight_tensor) [all …]
|
/external/tensorflow/tensorflow/lite/tools/optimize/ |
D | quantize_model.cc | 65 const TensorT* weight_tensor, TensorT* bias_tensor, in QuantizeBias() argument 74 TF_LITE_ENSURE(error_reporter, weight_tensor->quantization); in QuantizeBias() 75 std::vector<float> weight_scales = weight_tensor->quantization->scale; in QuantizeBias() 78 if (bias_tensor->shape[0] != weight_tensor->shape[channel_dim_index]) { in QuantizeBias() 81 bias_tensor->shape[0], weight_tensor->shape[channel_dim_index]); in QuantizeBias() 876 TensorT* weight_tensor = in QuantizeBiases() local 881 QuantizeBias(model, input_tensor, weight_tensor, bias_tensor, in QuantizeBiases() 1036 TensorT* weight_tensor = in EnsureBiasScaleCompatibility() local 1064 if (!utils::HasMinMax(weight_tensor)) { in EnsureBiasScaleCompatibility() 1074 weight_tensor->shape[weight_property.per_axis_index]) { in EnsureBiasScaleCompatibility() [all …]
|
/external/tensorflow/tensorflow/lite/delegates/nnapi/ |
D | nnapi_delegate.cc | 2703 const auto weight_tensor = in Map() local 2716 weight_tensor.data.uint8, weight_tensor.dims, &recurrent_to_input, in Map() 2724 weight_tensor.dims, recurrent_weight_dims, input_weight_dims); in Map() 2730 input_weight_dims, input_to_input, weight_tensor.params, in Map() 2735 input_weight_dims, input_to_forget, weight_tensor.params, in Map() 2740 input_weight_dims, input_to_cell, weight_tensor.params, in Map() 2745 input_weight_dims, input_to_output, weight_tensor.params, in Map() 2750 recurrent_weight_dims, recurrent_to_input, weight_tensor.params, in Map() 2755 recurrent_weight_dims, recurrent_to_forget, weight_tensor.params, in Map() 2760 recurrent_weight_dims, recurrent_to_cell, weight_tensor.params, in Map() [all …]
|
/external/tensorflow/tensorflow/lite/kernels/ |
D | lstm.cc | 643 const TfLiteTensor* weight_tensor, const TfLiteTensor* bias_tensor, in PrecomputeZeroPointTimesWeightWithBias() argument 645 if (weight_tensor == nullptr) { in PrecomputeZeroPointTimesWeightWithBias() 649 const RuntimeShape& weight_shape = GetTensorShape(weight_tensor); in PrecomputeZeroPointTimesWeightWithBias() 661 const int8_t* weight = GetTensorData<int8_t>(weight_tensor); in PrecomputeZeroPointTimesWeightWithBias()
|