Searched refs:num_col (Results 1 – 9 of 9) sorted by relevance
/external/tensorflow/tensorflow/python/keras/layers/ |
D | convolutional_recurrent_test.py | 40 num_col = 3 63 'kernel_size': (num_row, num_col), 82 'kernel_size': (num_row, num_col), 89 num_col = 3 105 'kernel_size': (num_row, num_col), 141 num_col = 3 155 'kernel_size': (num_row, num_col),
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D | local_test.py | 131 num_col = 10 158 input_shape=(num_samples, num_row, num_col, stack_size)) 167 num_col = 10 187 input_shape=(num_samples, num_row, num_col, stack_size)) 194 num_col = 7 214 layer.build((num_samples, num_row, num_col, stack_size)) 218 np.ones((num_samples, num_row, num_col, stack_size)))) 231 layer.build((num_samples, num_row, num_col, stack_size))
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D | convolutional_transpose_test.py | 37 num_col = 6 43 input_shape=(num_samples, num_row, num_col, stack_size)) 127 num_col = 6 134 input_shape=(num_samples, depth, num_row, num_col, stack_size))
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D | separable_convolutional_test.py | 105 num_col = 6 111 input_shape=(num_samples, num_row, num_col, stack_size))
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D | convolutional_test.py | 103 num_col = 6 109 input_shape=(num_samples, num_row, num_col, stack_size)) 170 num_col = 6 177 input_shape=(num_samples, depth, num_row, num_col, stack_size)) 723 num_col = 6 729 input_shape=(num_samples, num_row, num_col, stack_size))
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/external/libaom/libaom/av1/encoder/x86/ |
D | highbd_fwd_txfm_sse4.c | 63 const int num_col) { in fdct4x4_sse4_1() argument 73 int endidx = 3 * num_col; in fdct4x4_sse4_1() 76 endidx -= num_col; in fdct4x4_sse4_1() 77 s1 = _mm_add_epi32(in[num_col], in[endidx]); in fdct4x4_sse4_1() 78 s2 = _mm_sub_epi32(in[num_col], in[endidx]); in fdct4x4_sse4_1() 129 const int num_col) { in fadst4x4_sse4_1() argument 142 int idx = 0 * num_col; in fadst4x4_sse4_1() 145 t = _mm_add_epi32(in[idx], in[idx + num_col]); in fadst4x4_sse4_1() 146 idx += num_col; in fadst4x4_sse4_1() 149 idx += num_col; in fadst4x4_sse4_1() [all …]
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/external/tensorflow/tensorflow/core/kernels/ |
D | segment_reduction_ops.cc | 92 const int64 num_col = input_flat.dimension(1); in Compute() local 129 Eigen::DSizes<Eigen::DenseIndex, 1> out_slice_shape(num_col); in Compute() 162 out_index - uninitialized_index, num_col); in Compute() 182 num_col); in Compute() 659 const int64 num_col = input_flat.dimension(1); in Compute() local 727 out_index - uninitialized_index, num_col); in Compute() 752 output_rows - uninitialized_index, num_col); in Compute()
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D | sparse_conditional_accumulator.h | 268 const int64 num_col = grad_flat.dimension(1); in AddToAccumGradFunction() local 270 Eigen::DSizes<Eigen::DenseIndex, 1> slice_shape(num_col); in AddToAccumGradFunction()
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/external/tensorflow/tensorflow/python/ops/linalg/ |
D | linear_operator_kronecker.py | 44 def _unvec_by(y, num_col): argument 50 [array_ops.shape(y)[:-1], [num_col, -1]], axis=0)))
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