Searched refs:input_c (Results 1 – 25 of 31) sorted by relevance
12
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| D | api_def_CudnnRNNBackprop.pbtxt | 20 input_c: For LSTM, a 3-D tensor with the shape of
29 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
40 input_c_backprop: The backprop to input_c in the forward pass. Has the same
41 shape as input_c.
|
| D | api_def_CudnnRNNBackpropV2.pbtxt | 23 input_c: For LSTM, a 3-D tensor with the shape of
32 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
44 input_c_backprop: The backprop to input_c in the forward pass. Has the same
45 shape as input_c.
|
| D | api_def_CudnnRNNBackpropV3.pbtxt | 25 input_c: For LSTM, a 3-D tensor with the shape of
36 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
49 input_c_backprop: The backprop to input_c in the forward pass. Has the same
50 shape as input_c.
|
| D | api_def_CudnnRNN.pbtxt | 21 input_c: For LSTM, a 3-D tensor with the shape of
30 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
|
| D | api_def_CudnnRNNV2.pbtxt | 22 input_c: For LSTM, a 3-D tensor with the shape of
31 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
|
| D | api_def_CudnnRNNV3.pbtxt | 25 input_c: For LSTM, a 3-D tensor with the shape of
36 output_c: The same shape as input_c for LSTM. An empty tensor for other models.
|
| /external/tensorflow/tensorflow/python/ops/ |
| D | cudnn_rnn_grad.py | 33 input_c=op.inputs[2],
58 input_c=op.inputs[2],
86 input_c=op.inputs[2],
|
| /external/tensorflow/tensorflow/core/kernels/ |
| D | cudnn_rnn_ops.cc | 568 const Tensor** input_c, const Tensor** params, in ExtractForwardInput() argument
574 TF_RETURN_IF_ERROR(context->input("input_c", input_c)); in ExtractForwardInput()
623 model_shapes->cell_num_units = (*input_c)->dim_size(2); in ExtractForwardInput()
635 if ((*input_h)->shape() != (*input_c)->shape()) { in ExtractForwardInput()
639 (*input_c)->shape().DebugString()); in ExtractForwardInput()
642 if ((*input_h)->dim_size(2) > (*input_c)->dim_size(2) || in ExtractForwardInput()
644 (*input_h)->dim_size(0) != (*input_c)->dim_size(0) || in ExtractForwardInput()
645 (*input_h)->dim_size(1) != (*input_c)->dim_size(1)) { in ExtractForwardInput()
649 (*input_c)->shape().DebugString()); in ExtractForwardInput()
682 const Tensor** input_c, const Tensor** params, in ExtractForwardInput() argument
[all …]
|
| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
| D | CudnnRNNV3.pbtxt | 12 name: "input_c"
137 name: "input_c"
269 name: "input_c"
|
| D | CudnnRNNBackpropV3.pbtxt | 12 name: "input_c"
158 name: "input_c"
311 name: "input_c"
|
| D | CudnnRNN.pbtxt | 12 name: "input_c"
|
| D | CudnnRNNV2.pbtxt | 12 name: "input_c"
|
| D | CudnnRNNBackpropV2.pbtxt | 12 name: "input_c"
|
| D | CudnnRNNBackprop.pbtxt | 12 name: "input_c"
|
| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
| D | CudnnRNNV3.pbtxt | 12 name: "input_c"
137 name: "input_c"
|
| D | CudnnRNNBackpropV3.pbtxt | 12 name: "input_c"
158 name: "input_c"
|
| D | CudnnRNN.pbtxt | 12 name: "input_c"
|
| D | CudnnRNNV2.pbtxt | 12 name: "input_c"
|
| D | CudnnRNNBackprop.pbtxt | 12 name: "input_c"
|
| D | CudnnRNNBackpropV2.pbtxt | 12 name: "input_c"
|
| /external/libaom/libaom/test/ |
| D | fft_test.cc | 203 std::vector<std::complex<float> > input_c = fft2d(&expected[0], n); in TEST_P() local
205 input_[2 * i + 0] = input_c[i].real(); in TEST_P()
206 input_[2 * i + 1] = input_c[i].imag(); in TEST_P()
|
| /external/tensorflow/tensorflow/python/keras/layers/ |
| D | cudnn_recurrent.py | 472 input_c = initial_state[1]
474 input_c = array_ops.expand_dims(input_c, axis=0)
502 'input_c': input_c,
|
| D | recurrent_v2.py | 678 input_c=0,
693 input=inputs, input_h=init_h, input_c=0, params=params,
1495 input_c=init_c,
1513 input=inputs, input_h=init_h, input_c=init_c, params=params,
|
| /external/tensorflow/tensorflow/python/keras/engine/ |
| D | data_adapter_test.py | 185 input_c = keras.Input(shape=(1,), name='input_b')
189 z = keras.layers.Dense(1, name='dense_3')(input_c)
193 model_3 = keras.Model(inputs=input_c, outputs=z)
|
| /external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
| D | reference_ops.h | 894 for (int input_c = begin_input_c; input_c < end_input_c; ++input_c) { in LocalResponseNormalization() local
895 const float input_val = input_data[i * depth + input_c]; in LocalResponseNormalization()
|
12