/frameworks/base/packages/SettingsLib/src/com/android/settingslib/animation/ |
H A D | DisappearAnimationUtils.java | 47 protected long calculateDelay(int row, int col) { argument 48 return (long) ((row * 60 + col * (Math.pow(row, 0.4) + 0.4) * 10) * mDelayScale);
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/frameworks/compile/mclinker/lib/LD/ |
H A D | StaticResolver.cpp | 61 unsigned int col = getOrdinate(pOld); local 69 action = link_action[row][col]; 198 col = getOrdinate(*old);
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/frameworks/ml/nn/runtime/test/specs/V1_0/ |
H A D | concat_float_2.mod.py | 22 col = 230 variable 25 input1 = Input("input1", "TENSOR_FLOAT32", "{%d, %d}" % (row1, col)) # input tensor 1 26 input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row2, col)) # input tensor 2 28 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (output_row, col)) # output 32 input1_values = [x for x in range(row1 * col)] 33 input2_values = (lambda s1 = row1 * col, s2 = row2 * col: 37 output_values = [x for x in range(output_row * col)]
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H A D | concat_quant8_2.mod.py | 22 col = 300 variable 25 input1 = Input("input1", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row1, col)) 26 input2 = Input("input2", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (row2, col)) 28 output = Output("output", "TENSOR_QUANT8_ASYMM", "{%d, %d}, 0.5f, 0" % (output_row, col)) 32 input1_values = [x % 256 for x in range(row1 * col)] 33 input2_values = (lambda s1 = row1 * col, s2 = row2 * col: 37 output_values = [x % 256 for x in range(output_row * col)]
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H A D | avg_pool_float_2.mod.py | 22 col = 60 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 45 input_values = [1. for _ in range(bat * row * col * chn)]
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H A D | avg_pool_float_3.mod.py | 22 col = 180 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 45 input_values = [x % 2 for x in range(bat * row * col * chn)]
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H A D | avg_pool_float_4.mod.py | 22 col = 60 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 45 input_values = [10 for _ in range(bat * row * col * chn)]
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H A D | avg_pool_quant8_2.mod.py | 22 col = 60 variable 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 45 input_values = [255 for _ in range(bat * row * col * chn)]
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H A D | avg_pool_quant8_3.mod.py | 22 col = 100 variable 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 45 input_values = [x % 4 * 2 for x in range(bat * row * col * chn)]
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H A D | max_pool_float_2.mod.py | 22 col = 70 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 45 input_range = bat * row * col * chn
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H A D | max_pool_float_3.mod.py | 22 col = 70 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 45 input_range = bat * row * col * chn
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H A D | max_pool_quant8_2.mod.py | 22 col = 70 variable 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 45 input_range = bat * row * col * chn
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H A D | max_pool_quant8_3.mod.py | 22 col = 70 variable 25 i0 = Input("i0", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 0.5f, 0" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 45 input_range = bat * row * col * chn
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/frameworks/ml/nn/runtime/test/specs/V1_1/ |
H A D | concat_float_2_relaxed.mod.py | 22 col = 230 variable 25 input1 = Input("input1", "TENSOR_FLOAT32", "{%d, %d}" % (row1, col)) # input tensor 1 26 input2 = Input("input2", "TENSOR_FLOAT32", "{%d, %d}" % (row2, col)) # input tensor 2 28 output = Output("output", "TENSOR_FLOAT32", "{%d, %d}" % (output_row, col)) # output 33 input1_values = [x for x in range(row1 * col)] 34 input2_values = (lambda s1 = row1 * col, s2 = row2 * col: 38 output_values = [x for x in range(output_row * col)]
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H A D | avg_pool_float_2_relaxed.mod.py | 22 col = 60 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 46 input_values = [1. for _ in range(bat * row * col * chn)]
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H A D | avg_pool_float_3_relaxed.mod.py | 22 col = 180 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 46 input_values = [x % 2 for x in range(bat * row * col * chn)]
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H A D | avg_pool_float_4_relaxed.mod.py | 22 col = 60 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 46 input_values = [10 for _ in range(bat * row * col * chn)]
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H A D | max_pool_float_2_relaxed.mod.py | 22 col = 70 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 46 input_range = bat * row * col * chn
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H A D | max_pool_float_3_relaxed.mod.py | 22 col = 70 variable 25 i0 = Input("i0", "TENSOR_FLOAT32", "{%d, %d, %d, %d}" % (bat, row, col, chn)) 36 output_col = (col + 2 * pad - flt + std) // std 46 input_range = bat * row * col * chn
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/frameworks/rs/ |
H A D | rsMatrix2x2.h | 28 inline float get(uint32_t col, uint32_t row) const { argument 29 return m[col*2 + row]; 32 inline void set(uint32_t col, uint32_t row, float v) { argument 33 m[col*2 + row] = v;
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H A D | rsMatrix3x3.h | 28 inline float get(uint32_t col, uint32_t row) const { argument 29 return m[col*3 + row]; 32 inline void set(uint32_t col, uint32_t row, float v) { argument 33 m[col*3 + row] = v;
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H A D | rsMatrix4x4.h | 28 float get(uint32_t col, uint32_t row) const { argument 29 return m[col*4 + row]; 32 void set(uint32_t col, uint32_t row, float v) { argument 33 m[col*4 + row] = v;
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/frameworks/support/coordinatorlayout/src/androidTest/java/androidx/coordinatorlayout/widget/ |
H A D | CoordinatorLayoutSortTest.java | 76 final CoordinatorLayout col = mActivityTestRule.getActivity().mCoordinatorLayout; 84 final View view = new View(col.getContext()) { 97 CoordinatorLayout.LayoutParams lp = col.generateDefaultLayoutParams(); 111 addViewsAndAssertOrdering(col, views, testOrder); 114 private void addViewsAndAssertOrdering(final CoordinatorLayout col, argument 123 col.addView(addOrder.get(i)); 130 assertEquals(expectedOrder, col.getDependencySortedChildren()); 136 col.removeAllViews();
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/frameworks/base/core/java/android/util/ |
H A D | DayOfMonthCursor.java | 63 public void setSelectedRowColumn(int row, int col) { argument 65 mColumn = col;
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/frameworks/rs/driver/runtime/ |
H A D | rs_matrix.c | 173 rsMatrixSet(rs_matrix4x4 *m, uint32_t col, uint32_t row, float v) { argument 174 m->m[col * 4 + row] = v; 178 rsMatrixGet(const rs_matrix4x4 *m, uint32_t col, uint32_t row) { argument 179 return m->m[col * 4 + row]; 183 rsMatrixSet(rs_matrix3x3 *m, uint32_t col, uint32_t row, float v) { argument 184 m->m[col * 3 + row] = v; 188 rsMatrixGet(const rs_matrix3x3 *m, uint32_t col, uint32_t row) { argument 189 return m->m[col * 3 + row]; 193 rsMatrixSet(rs_matrix2x2 *m, uint32_t col, uint32_t row, float v) { argument 194 m->m[col * 198 rsMatrixGet(const rs_matrix2x2 *m, uint32_t col, uint32_t row) argument [all...] |