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/cmsis-nn-latest/Source/ConvolutionFunctions/
Darm_transpose_conv_s8.c107 for (int x = 0; x < buf_x_elements * buf_y; x++) in arm_transpose_conv_s8() local
109 …arm_memcpy_s8((int8_t *)(buf + x * output_ch), (const int8_t *)bias_data, output_ch * sizeof(int32… in arm_transpose_conv_s8()
149 for (int x = 0; x < output_x; x++) in arm_transpose_conv_s8() local
178 for (int x = 0; x < output_x; x++) in arm_transpose_conv_s8() local
197 for (int x = 0; x < buf_x_elements; x++) in arm_transpose_conv_s8() local
199 arm_memcpy_s8((int8_t *)(buf + buf_row + x * output_ch), in arm_transpose_conv_s8()
223 for (int x = 0; x < output_x; x++) in arm_transpose_conv_s8() local
250 for (int x = 0; x < output_x; x++) in arm_transpose_conv_s8() local
Darm_transpose_conv_wrapper_s8.c118 for (int32_t x = 0; x < filter_w; x++) in arm_transpose_conv_wrapper_s8() local
/cmsis-nn-latest/Tests/UnitTest/
DREADME.md143 | convolution | x | x |
144 | fully_connected | x | x |
145 | lstm | | x |
146 | svdf | | x | Operator is only fully supported by TFLM.
147 | softmax | x | x |
148 | avgpool | x | x |
149 | maxpool | x | x |
150 | add | x | x |
151 | mul | x | x |
152 | batch matmul | x | x |
[all …]
Dadd_mul_settings.py102 out = keras.layers.Lambda(function=lambda x: x)(layer)
Dconv_settings.py170 while any((x > 31 or x < -31) for x in per_channel_shift):
202 quantized_data = [(x // scale) + zero_point for x in data]
/cmsis-nn-latest/Source/TransposeFunctions/
Darm_transpose_s8.c109 for (int32_t x = 0; x < src_cols; x++) in arm_transpose_s8_nhcw()
141 for (int32_t x = 0; x < w; x++) in arm_transpose_s8_default() local
146 … i * in_strides[0] + y * in_strides[1] + x * in_strides[2] + z * in_strides[3]; in arm_transpose_s8_default()
149 … i * out_strides[0] + y * out_strides[1] + x * out_strides[2] + z * out_strides[3]; in arm_transpose_s8_default()
/cmsis-nn-latest/Source/SoftmaxFunctions/
Darm_softmax_s8.c46 const int32x4_t x = vaddq_n_s32(val_mod_minus_quarter << 5, 1 << 28); in arm_exp_on_negative_values_mve_32x4() local
47 const int32x4_t x2 = MUL_SAT_MVE(x, x); in arm_exp_on_negative_values_mve_32x4()
48 const int32x4_t op_1 = DIV_POW2_MVE(MUL_SAT_MVE(x2, x2), 2) + MUL_SAT_MVE(x2, x); in arm_exp_on_negative_values_mve_32x4()
49 const int32x4_t op_2 = x + DIV_POW2_MVE(MUL_SAT_MVE(op_1, vdupq_n_s32(715827883)) + x2, 1); in arm_exp_on_negative_values_mve_32x4()
52 …#define SELECT_IF_NON_ZERO(x) … in arm_exp_on_negative_values_mve_32x4() argument
56 …result = SELECT_USING_MASK(mask, MUL_SAT_MVE(result, vdupq_n_s32(x)), result); … in arm_exp_on_negative_values_mve_32x4()
/cmsis-nn-latest/Source/PadFunctions/
Darm_pad_s8.c88 for (int32_t x = 0; x < input_size->w; x++) in arm_pad_s8() local
/cmsis-nn-latest/Include/
Darm_nnsupportfunctions.h49 #define MASK_IF_ZERO(x) (x) == 0 ? ~0 : 0 argument
50 #define MASK_IF_NON_ZERO(x) (x) != 0 ? ~0 : 0 argument
55 #define CLAMP(x, h, l) MAX(MIN((x), (h)), (l)) argument
1459 #define EXP_ON_NEG(x) arm_nn_exp_on_negative_values((x)) argument
1460 #define ONE_OVER1(x) arm_nn_one_over_one_plus_x_for_x_in_0_1((x)) argument
1831 const int32_t x = (val_mod_minus_quarter << 5) + (1 << 28); in arm_nn_exp_on_negative_values() local
1832 const int32_t x2 = MUL_SAT(x, x); in arm_nn_exp_on_negative_values()
1835 …MUL_SAT(1895147668, x + DIV_POW2(MUL_SAT(DIV_POW2(MUL_SAT(x2, x2), 2) + MUL_SAT(x2, x), 715827883)… in arm_nn_exp_on_negative_values()
1837 #define SELECT_IF_NON_ZERO(x) … in arm_nn_exp_on_negative_values() argument
1840 …result = SELECT_USING_MASK(mask, MUL_SAT(result, x), result); … in arm_nn_exp_on_negative_values()
[all …]
/cmsis-nn-latest/Tests/UnitTest/RefactoredTestGen/Lib/
Dop_transpose.py57 generated_params["size"] = math.prod(x for x in input_shape)
Dop_conv.py270 quantized_data = [(x // scale) + zero_point for x in data]
/cmsis-nn-latest/Source/NNSupportFunctions/
Darm_nn_mat_mult_nt_t_s8.c238 for (int32_t x = 0; x < rhs_cols; ++x) in arm_nn_mat_mult_nt_t_s8()
240 lhs_offset_contribution0 += rhs[x]; in arm_nn_mat_mult_nt_t_s8()
241 lhs_offset_contribution1 += rhs[x + rhs_cols]; in arm_nn_mat_mult_nt_t_s8()
634 for (int32_t x = 0; x < rhs_cols; ++x) in arm_nn_mat_mult_nt_t_s8()
636 lhs_offset_contribution0 += rhs[x]; in arm_nn_mat_mult_nt_t_s8()
637 lhs_offset_contribution1 += rhs[x + rhs_cols]; in arm_nn_mat_mult_nt_t_s8()
/cmsis-nn-latest/Include/Internal/
Darm_nn_compiler.h91 #define __ALIGNED(x) __declspec(align(x)) argument
/cmsis-nn-latest/Documentation/Doxygen/style_template/
Dsearch.css276 background-repeat: repeat-x;
Dextra_stylesheet.css690 overflow-x: overlay;
/cmsis-nn-latest/Documentation/Doxygen/
Dnn.dxy.in35 # doxygen -x [configFile]
2028 # Possible values are: a4 (210 x 297 mm), letter (8.5 x 11 inches), legal (8.5 x
2029 # 14 inches) and executive (7.25 x 10.5 inches).
2413 …ATH_NEON=1 ARM_FLOAT16_SUPPORTED=1 __STATIC_FORCEINLINE=static __STATIC_INLINE=static __ALIGNED(x)=