/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))
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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),
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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);
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/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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