/external/tensorflow/tensorflow/python/kernel_tests/ |
D | sparse_reshape_op_test.py | 101 output_val = self.evaluate(sp_output) 102 self.assertAllEqual(output_val.indices, input_val.indices) 103 self.assertAllEqual(output_val.values, input_val.values) 104 self.assertAllEqual(output_val.dense_shape, input_val.dense_shape) 113 output_val = sess.run(sp_output, {sp_input: input_val}) 114 self.assertAllEqual(output_val.indices, input_val.indices) 115 self.assertAllEqual(output_val.values, input_val.values) 116 self.assertAllEqual(output_val.dense_shape, input_val.dense_shape) 126 output_val = sess.run(sp_output, {sp_input: input_val}) 127 self.assertAllEqual(output_val.indices, input_val.indices) [all …]
|
D | sparse_reorder_op_test.py | 64 output_val = self.evaluate(sp_output) 65 self.assertAllEqual(output_val.indices, input_val.indices) 66 self.assertAllEqual(output_val.values, input_val.values) 67 self.assertAllEqual(output_val.dense_shape, input_val.dense_shape) 76 output_val = sess.run(sp_output, {sp_input: input_val}) 77 self.assertAllEqual(output_val.indices, input_val.indices) 78 self.assertAllEqual(output_val.values, input_val.values) 79 self.assertAllEqual(output_val.dense_shape, input_val.dense_shape) 88 output_val = self.evaluate(sp_output) 89 self.assertAllEqual(output_val.indices, expected_output_val.indices) [all …]
|
/external/tensorflow/tensorflow/python/grappler/ |
D | layout_optimizer_test.py | 290 output_val = sess.run(output, run_metadata=metadata) 306 self.assertAllClose(output_val_ref, output_val, atol=1e-3) 328 output_val = sess.run(output, run_metadata=metadata, feed_dict={dim: 3}) 342 self.assertAllClose(output_val_ref, output_val, atol=1e-3) 361 output_val = sess.run(output, run_metadata=metadata, feed_dict={dim: 3}) 377 self.assertAllClose(output_val_ref, output_val, atol=1e-3) 396 output_val = sess.run(output, run_metadata=metadata) 412 self.assertAllClose(output_val_ref, output_val, atol=1e-3) 428 output_val = sess.run(output, run_metadata=metadata) 442 self.assertAllClose(output_val_ref, output_val, atol=1e-3) [all …]
|
D | auto_mixed_precision_test.py | 366 output_val = sess.run(fetches, run_metadata=metadata) 368 return output_val_ref, output_val, metadata.cost_graph 414 output_val_ref, output_val, cost_graph = self._run(mode, a) 430 self.assertAllClose(output_val_ref, output_val, atol=2e-2, rtol=2e-2) 432 self.assertAllClose(output_val_ref, output_val, atol=2e-3, rtol=1e-3) 445 output_val_ref, output_val, cost_graph = self._run(mode, output) 463 self.assertAllClose(output_val_ref, output_val, atol=tol, rtol=tol) 479 output_val_ref, output_val, cost_graph = self._run(mode, output) 488 self.assertAllClose(output_val_ref, output_val, atol=1e-2, rtol=1e-2) 508 output_val_ref, output_val, cost_graph = self._run(mode, output) [all …]
|
/external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
D | tanh.h | 97 uint8_t output_val; in Tanh() local 99 output_val = 0; in Tanh() 101 output_val = 255; in Tanh() 120 output_val = static_cast<uint8_t>(output_val_s32); in Tanh() 122 output_data[i] = output_val; in Tanh()
|
D | l2normalization.h | 80 int32_t output_val = in L2Normalization() local 83 output_data[depth * i + c] = static_cast<uint8_t>(output_val); in L2Normalization()
|
D | legacy_reference_ops.h | 801 uint8 output_val; in Logistic() local 803 output_val = 0; in Logistic() 805 output_val = 255; in Logistic() 823 output_val = static_cast<uint8>(output_val_s32); in Logistic() 825 output_data[i] = output_val; in Logistic()
|
/external/tensorflow/tensorflow/python/ops/ |
D | sparse_ops.py | 419 output_ind, output_val, output_shape = ( 440 return sparse_tensor.SparseTensor(output_ind, output_val, output_shape) 445 output = sparse_tensor.SparseTensor(output_ind, output_val, output_shape) 583 output_ind, output_val, output_shape = ( 595 return sparse_tensor.SparseTensor(output_ind, output_val, output_shape) 1311 output_ind, output_val, output_shape = ( 1320 return sparse_tensor.SparseTensor(output_ind, output_val, output_shape) 1462 output_ind, output_val, output_shape = ( 1467 return sparse_tensor.SparseTensor(output_ind, output_val, output_shape) 1530 output_ind, output_val, output_shape = ( [all …]
|
/external/XNNPACK/test/ |
D | dwconv2d-microkernel-tester.h | 225 for (float& output_val : output_ref) { variable 226 output_val = std::max(std::min(output_val, output_max), output_min);
|
D | dwconv-microkernel-tester.h | 460 for (float& output_val : output_ref) { variable 461 output_val = std::max(std::min(output_val, output_max), output_min); 626 for (float& output_val : output_ref) { variable 627 output_val = std::max(std::min(output_val, output_max), output_min);
|
/external/tensorflow/tensorflow/compiler/mlir/tosa/transforms/ |
D | convert_tfl_uint8.cc | 216 for (Value output_val : op.getResults()) { in convert_graph_uint8_tensor() local 219 output_val.getType().dyn_cast<mlir::RankedTensorType>(); in convert_graph_uint8_tensor() 254 output_val.setType(new_type); in convert_graph_uint8_tensor()
|
D | legalize_common.h | 59 Operation* op, Value output_val,
|
D | legalize_common.cc | 441 Operation* op, Value output_val, in convertMultiplyOp() argument 449 output_val.getType().dyn_cast<RankedTensorType>(); in convertMultiplyOp()
|
/external/tensorflow/tensorflow/python/ops/parallel_for/ |
D | xla_control_flow_ops_test.py | 126 output_val, ans_val = self.evaluate([output, ans]) 127 self.assertAllClose(ans_val, output_val)
|
D | control_flow_ops_test.py | 236 output_val, ans_val = self.evaluate([output, ans]) 237 self.assertAllClose(ans_val, output_val) 250 output_val, ans_val = self.evaluate([output, ans]) 251 self.assertAllClose(ans_val, output_val) 262 output_val, ans_val = self.evaluate([output, ans]) 263 self.assertAllClose(ans_val, output_val) 274 output_val, ans_val = self.evaluate([output, ans]) 275 self.assertAllClose(ans_val, output_val) 291 output_val, ans_val = self.evaluate([output, ans]) 292 self.assertAllClose(ans_val, output_val) [all …]
|
/external/tensorflow/tensorflow/compiler/mlir/lite/transforms/ |
D | optimize.cc | 235 DenseElementsAttr GetShape(Value output_val) { in GetShape() argument 236 auto output_type = output_val.getType().cast<RankedTensorType>(); in GetShape() 246 mlir::IntegerType::get(output_val.getContext(), 32)), in GetShape()
|
/external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
D | optimized_ops.h | 1789 int32 output_val = std::min(255, std::max(0, unclamped_output_val)); in L2Normalization() local 1790 *output_data = static_cast<uint8>(output_val); in L2Normalization() 7275 uint8 output_val; in Tanh16bitPrecision() local 7277 output_val = 0; in Tanh16bitPrecision() 7279 output_val = 255; in Tanh16bitPrecision() 7297 output_val = static_cast<uint8>(output_val_s16); in Tanh16bitPrecision() 7299 output_data[c] = output_val; in Tanh16bitPrecision() 7369 int8 output_val; in Tanh16bitPrecision() local 7371 output_val = -128; in Tanh16bitPrecision() 7373 output_val = 127; in Tanh16bitPrecision() [all …]
|
D | neon_tensor_utils.cc | 872 const int16x8_t output_val = vld1q_s16(output + i); in NeonMatrixBatchVectorAccumulateImpl() local 873 const int32x4_t first_half = vmovl_s16(vget_low_s16(output_val)); in NeonMatrixBatchVectorAccumulateImpl() 874 const int32x4_t second_half = vmovl_s16(vget_high_s16(output_val)); in NeonMatrixBatchVectorAccumulateImpl() 928 const int8x16_t output_val = vld1q_s8(output + i); in NeonMatrixBatchVectorAccumulateImpl() local 929 const int16x8_t first_half = vmovl_s8(vget_low_s8(output_val)); in NeonMatrixBatchVectorAccumulateImpl() 930 const int16x8_t second_half = vmovl_s8(vget_high_s8(output_val)); in NeonMatrixBatchVectorAccumulateImpl()
|
D | legacy_optimized_ops.h | 4379 uint8 output_val; in Logistic() local 4381 output_val = 0; in Logistic() 4383 output_val = 255; in Logistic() 4399 output_val = static_cast<uint8>(output_val_s32); in Logistic() 4401 output_data[c] = output_val; in Logistic() 4581 uint8 output_val; in Tanh() local 4583 output_val = 0; in Tanh() 4585 output_val = 255; in Tanh() 4602 output_val = static_cast<uint8>(output_val_s32); in Tanh() 4604 output_data[c] = output_val; in Tanh()
|
/external/tensorflow/tensorflow/python/keras/engine/ |
D | functional_test.py | 805 output_val = m.predict(x_val) 814 self.assertAllClose(output_val, output_val_2, atol=1e-6) 833 output_val = m.predict(x_val) 842 self.assertAllClose(output_val, output_val_2, atol=1e-6)
|
/external/tensorflow/tensorflow/python/framework/ |
D | function_test.py | 909 output_val = sess.run( 911 self.assertEqual(output_val.shape, (32, 100))
|
/external/tensorflow/tensorflow/python/feature_column/ |
D | feature_column_v2_test.py | 1146 output_val = self.evaluate(output) 1148 output_val.indices) 1149 for val in output_val.values: 1151 self.assertAllEqual([2, 4], output_val.dense_shape)
|
D | feature_column_test.py | 1030 output_val = self.evaluate(output) 1032 [[0, 0], [0, 1], [1, 0], [1, 1], [1, 2], [1, 3]], output_val.indices) 1033 for val in output_val.values: 1035 self.assertAllEqual([2, 4], output_val.dense_shape)
|