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  /external/tensorflow/tensorflow/python/keras/_impl/keras/layers/
local_test.py 94 num_col = 10
114 input_shape=(num_samples, num_row, num_col, stack_size))
121 num_col = 10
131 input_shape=(num_samples, num_row, num_col, stack_size))
138 num_col = 10
148 layer.build((num_samples, num_row, num_col, stack_size))
152 np.ones((num_samples, num_row, num_col, stack_size))))
165 layer.build((num_samples, num_row, num_col, stack_size))
convolutional_recurrent_test.py 32 num_col = 3
58 'kernel_size': (num_row, num_col),
76 'kernel_size': (num_row, num_col),
83 num_col = 3
99 'kernel_size': (num_row, num_col),
135 num_col = 3
149 'kernel_size': (num_row, num_col),
convolutional_test.py 106 num_col = 6
115 input_shape=(num_samples, num_row, num_col, stack_size))
180 num_col = 6
189 input_shape=(num_samples, num_row, num_col, stack_size))
244 num_col = 6
254 input_shape=(num_samples, depth, num_row, num_col, stack_size))
383 num_col = 6
392 input_shape=(num_samples, num_row, num_col, stack_size))
460 num_col = 6
470 input_shape=(num_samples, depth, num_row, num_col, stack_size)
    [all...]
  /external/tensorflow/tensorflow/core/kernels/
segment_reduction_ops.cc 90 const int64 num_col = input_flat.dimension(1); variable
127 Eigen::DSizes<Eigen::DenseIndex, 1> out_slice_shape(num_col);
160 out_index - uninitialized_index, num_col);
180 num_col);
655 const int64 num_col = input_flat.dimension(1); variable
718 out_index - uninitialized_index, num_col);
    [all...]
sparse_conditional_accumulator.h 268 const int64 num_col = grad_flat.dimension(1); variable
270 Eigen::DSizes<Eigen::DenseIndex, 1> slice_shape(num_col);
  /external/tensorflow/tensorflow/python/keras/_impl/keras/applications/
inception_v3.py 63 num_col,
73 num_col: width of the convolution kernel.
94 filters, (num_row, num_col),

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