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Searched refs:input_lhs (Results 1 – 5 of 5) sorted by relevance

/cmsis-nn-latest/Source/FullyConnectedFunctions/
Darm_batch_matmul_s16.c50 const int16_t *input_lhs, in arm_batch_matmul_s16() argument
80 arm_nn_vec_mat_mult_t_s16_s16(input_lhs, in arm_batch_matmul_s16()
90 input_lhs += rhs_cols; in arm_batch_matmul_s16()
93 input_lhs -= inner_lhs_diff; in arm_batch_matmul_s16()
96 input_lhs += outer_lhs_diff; in arm_batch_matmul_s16()
Darm_batch_matmul_s8.c50 const int8_t *input_lhs, in arm_batch_matmul_s8() argument
94 arm_nn_vec_mat_mult_t_s8(input_lhs, in arm_batch_matmul_s8()
114 input_lhs += rhs_cols; in arm_batch_matmul_s8()
117 input_lhs -= inner_lhs_diff; in arm_batch_matmul_s8()
120 input_lhs += outer_lhs_diff; in arm_batch_matmul_s8()
/cmsis-nn-latest/Tests/UnitTest/RefactoredTestGen/Lib/
Dop_transpose.py40 input_lhs = keras.layers.Input(batch_input_shape=input_shape)
41 layer = tf.transpose(input_lhs, perm=params["perm"])
42 model = keras.Model([input_lhs], [layer])
Dop_batch_matmul.py42 input_lhs = keras.layers.Input(batch_input_shape=input_shape_lhs)
45 … layer = tf.matmul(input_lhs, input_rhs, transpose_a=params["adj_x"], transpose_b=params["adj_y"])
46 model = keras.Model([input_lhs, input_rhs], [layer])
/cmsis-nn-latest/Include/
Darm_nnfunctions.h2835 const int8_t *input_lhs,
2872 const int16_t *input_lhs,