| /external/libjpeg-turbo/ |
| jccolext.c | 34 JDIMENSION output_row, int num_rows)
46 outptr0 = output_buf[0][output_row];
47 outptr1 = output_buf[1][output_row];
48 outptr2 = output_buf[2][output_row];
49 output_row++;
91 JDIMENSION output_row, int num_rows)
103 outptr = output_buf[0][output_row];
104 output_row++;
128 JDIMENSION output_row, int num_rows)
137 outptr0 = output_buf[0][output_row];
[all...] |
| jccolor.c | 236 JDIMENSION output_row, int num_rows)
240 extrgb_ycc_convert_internal(cinfo, input_buf, output_buf, output_row,
245 extrgbx_ycc_convert_internal(cinfo, input_buf, output_buf, output_row,
249 extbgr_ycc_convert_internal(cinfo, input_buf, output_buf, output_row,
254 extbgrx_ycc_convert_internal(cinfo, input_buf, output_buf, output_row,
259 extxbgr_ycc_convert_internal(cinfo, input_buf, output_buf, output_row,
264 extxrgb_ycc_convert_internal(cinfo, input_buf, output_buf, output_row,
268 rgb_ycc_convert_internal(cinfo, input_buf, output_buf, output_row,
285 JDIMENSION output_row, int num_rows)
289 extrgb_gray_convert_internal(cinfo, input_buf, output_buf, output_row,
[all...] |
| jsimd.h | 24 JDIMENSION output_row, int num_rows);
27 JDIMENSION output_row, int num_rows);
36 JDIMENSION output_row, int num_rows);
|
| jsimd_none.c | 55 JDIMENSION output_row, int num_rows)
62 JDIMENSION output_row, int num_rows)
83 JDIMENSION output_row, int num_rows)
|
| /external/libjpeg-turbo/simd/ |
| jsimd.h | 33 JDIMENSION output_row, int num_rows);
36 JDIMENSION output_row, int num_rows);
39 JDIMENSION output_row, int num_rows);
42 JDIMENSION output_row, int num_rows);
45 JDIMENSION output_row, int num_rows);
48 JDIMENSION output_row, int num_rows);
51 JDIMENSION output_row, int num_rows);
56 JDIMENSION output_row, int num_rows);
59 JDIMENSION output_row, int num_rows);
62 JDIMENSION output_row, int num_rows)
[all...] |
| /frameworks/ml/nn/runtime/test/specs/V1_0/ |
| concat_float_2.mod.py | 23 output_row = row1 + row2 variable
28 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (output_row, col)) # output
37 output_values = [x for x in range(output_row * col)]
|
| concat_quant8_2.mod.py | 23 output_row = row1 + row2 variable
28 output = Output("output", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (output_row, col))
37 output_values = [x % 256 for x in range(output_row * col)]
|
| avg_pool_float_2.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
47 output_values = [1. for _ in range(bat * output_row * output_col * chn)]
|
| avg_pool_float_3.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
47 output_values = [.5 for _ in range(bat * output_row * output_col * chn)]
|
| avg_pool_float_4.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
47 output_values = [6 for _ in range(bat * output_row * output_col * chn)]
|
| avg_pool_quant8_2.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn))
47 output_values = [255 for _ in range(bat * output_row * output_col * chn)]
|
| avg_pool_quant8_3.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn))
47 output_values = [3 for _ in range(bat * output_row * output_col * chn)]
|
| max_pool_float_2.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
48 output_range = bat * output_row * output_col * chn
|
| max_pool_float_3.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
48 output_range = bat * output_row * output_col * chn
|
| max_pool_quant8_2.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn))
48 output_range = bat * output_row * output_col * chn
|
| max_pool_quant8_3.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}, 0.5f, 0" % (bat, output_row, output_col, chn))
48 output_range = bat * output_row * output_col * chn
|
| /frameworks/ml/nn/runtime/test/specs/V1_1/ |
| concat_float_2_relaxed.mod.py | 23 output_row = row1 + row2 variable
28 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (output_row, col)) # output
38 output_values = [x for x in range(output_row * col)]
|
| avg_pool_float_2_relaxed.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
48 output_values = [1. for _ in range(bat * output_row * output_col * chn)]
|
| avg_pool_float_3_relaxed.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
48 output_values = [.5 for _ in range(bat * output_row * output_col * chn)]
|
| avg_pool_float_4_relaxed.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
48 output_values = [6 for _ in range(bat * output_row * output_col * chn)]
|
| max_pool_float_2_relaxed.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
49 output_range = bat * output_row * output_col * chn
|
| max_pool_float_3_relaxed.mod.py | 35 output_row = (row + 2 * pad - flt + std) // std variable
39 "{%d, %d, %d, %d}" % (bat, output_row, output_col, chn))
49 output_range = bat * output_row * output_col * chn
|
| /external/tensorflow/tensorflow/core/kernels/ |
| spectrogram_op.cc | 99 float* output_row = output_slice + (row_index * output_width); variable
102 output_row[i] = spectrogram_row[i];
106 output_row[i] = sqrtf(spectrogram_row[i]);
|
| /external/devlib/devlib/instrument/ |
| acmecape.py | 129 output_row = []
133 output_row.append(float(row[i]))
136 output_row.append(float(row[i])/1000)
137 writer.writerow(output_row)
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/preprocessing/ |
| categorical.py | 124 output_row = []
128 output_row.append(0)
130 output_row.append(self.vocabularies_[idx].get(value))
131 yield np.array(output_row, dtype=np.int64)
|
