/external/tensorflow/tensorflow/python/kernel_tests/ |
D | sparse_reshape_op_test.py | 98 input_val = self._SparseTensorValue_5x6() 99 sp_output = sparse_ops.sparse_reshape(input_val, [5, 6]) 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) 110 input_val = self._SparseTensorValue_5x6() 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) [all …]
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D | sparse_reorder_op_test.py | 61 input_val = self._SparseTensorValue_5x6(np.arange(6)) 62 sp_output = sparse_ops.sparse_reorder(input_val) 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) 73 input_val = self._SparseTensorValue_5x6(np.arange(6)) 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) [all …]
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D | bias_op_deterministic_test.py | 96 input_val = self._randomDataOp(input_shape, data_type) 108 input_val, bias_val, data_format=data_format) 121 input_val, bias_val, data_format=data_format)
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D | extract_volume_patches_grad_test.py | 70 input_val = constant_op.constant( 79 rtn = gradient_checker_v2.compute_gradient(extract, [input_val])
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/external/tensorflow/tensorflow/lite/kernels/ |
D | cpu_backend_gemm_custom_gemv.h | 371 int16x8x2_t input_val = 394 vget_low_s16(input_val.val[0])); 396 vget_low_s16(input_val.val[0])); 398 vget_low_s16(input_val.val[0])); 400 vget_low_s16(input_val.val[0])); 402 vget_low_s16(input_val.val[1])); 404 vget_low_s16(input_val.val[1])); 406 vget_low_s16(input_val.val[1])); 408 vget_low_s16(input_val.val[1])); 410 vget_high_s16(input_val.val[0])); [all …]
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/external/tensorflow/tensorflow/core/kernels/ |
D | sparse_reorder_op.cc | 45 const Tensor& input_val = context->input(1); in Compute() local 46 OP_REQUIRES(context, TensorShapeUtils::IsVector(input_val.shape()), in Compute() 49 input_val.shape().DebugString())); in Compute() 66 context, sparse::SparseTensor::Create(input_ind, input_val, input_shape, in Compute() 77 tensor::DeepCopy(input_val), in Compute()
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/external/tensorflow/tensorflow/lite/kernels/internal/optimized/ |
D | depthwiseconv_float.h | 238 const float input_val = *local_input_ptr++; 240 *acc_buffer_ptr++ += filter_val * input_val; 293 const float input_val = *local_input_ptr++; 301 acc[i] = vmlaq_n_f32(acc[i], filter[i], input_val); 410 const float input_val = *local_input_ptr++; 413 acc_buffer_ptr[i] += local_filter_ptr[i] * input_val; 504 const float input_val = *input_ptr; 513 acc[i] = vmlaq_n_f32(acc[i], filter[i], input_val); 542 const float input_val = *input_ptr; 554 acc_0 = vmlaq_n_f32(acc_0, filter_0, input_val); [all …]
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/external/vixl/examples/aarch64/ |
D | factorial.cc | 71 uint64_t input_val = 16; in main() local 72 simulator.WriteXRegister(0, input_val); in main() 75 input_val, in main()
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D | factorial-rec.cc | 73 uint64_t input_val = 16; in main() local 74 simulator.WriteXRegister(0, input_val); in main() 77 input_val, in main()
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/external/tensorflow/tensorflow/lite/kernels/internal/reference/ |
D | fully_connected.h | 94 int32_t input_val = input_data[b * accum_depth + d]; in FullyConnected() local 96 acc += (filter_val + filter_offset) * (input_val + input_offset); in FullyConnected() 144 int16_t input_val = input_data[b * accum_depth + d] + input_offset; in FullyConnected() local 147 accum += filter_val * input_val; in FullyConnected() 238 int8_t input_val = shuffled_input_data[d + j]; in ShuffledFullyConnected() local 240 accum[i] += weights_val * input_val; in ShuffledFullyConnected() 285 int8_t input_val = shuffled_input_ptr[16 * b + j]; in ShuffledFullyConnected() local 287 accum[i][b] += weights_val * input_val; in ShuffledFullyConnected()
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D | depthwiseconv_uint8.h | 148 int32_t input_val = in Run() local 153 (input_val + input_offset); in Run() 236 int32_t input_val = input_data[Offset( in RunPerChannel() local 255 acc += filter_val * (input_val + input_offset); in RunPerChannel()
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D | conv.h | 162 int32_t input_val = input_data[Offset(input_shape, batch, in_y, in Conv() local 167 (filter_val + filter_offset) * (input_val + input_offset); in Conv() 237 int32_t input_val = input_data[Offset( in HybridConvPerChannel() local 242 acc += filter_val * (input_val - input_offset[batch]); in HybridConvPerChannel()
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D | portable_tensor_utils.cc | 304 int8_t input_val = input[batch * n_input + col]; in PortableMatrixBatchVectorMultiplyAccumulateImpl() local 306 acc += input_val * weights_val; in PortableMatrixBatchVectorMultiplyAccumulateImpl() 356 int32_t input_val = input[batch * n_input + col]; in PortableMatrixBatchVectorMultiply() local 358 acc += (input_val - input_zeropoint) * weights_val; in PortableMatrixBatchVectorMultiply() 385 int16_t input_val = hidden[batch * n_hidden + col]; in PortableMatrixBatchVectorMultiply() local 388 acc += input_val * weights_val; in PortableMatrixBatchVectorMultiply() 389 if (input_val * weights_val > 0 && acc < curr) { in PortableMatrixBatchVectorMultiply() 392 if (input_val * weights_val < 0 && acc > curr) { in PortableMatrixBatchVectorMultiply()
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/external/tensorflow/tensorflow/lite/kernels/internal/reference/integer_ops/ |
D | fully_connected.h | 49 int32_t input_val = input_data[b * accum_depth + d]; in FullyConnected() local 51 acc += (filter_val + filter_offset) * (input_val + input_offset); in FullyConnected() 89 int32_t input_val = input_data[b * accum_depth + d]; in FullyConnected() local 91 acc += (filter_val + filter_offset) * input_val; in FullyConnected()
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D | depthwise_conv.h | 80 int32_t input_val = input_data[Offset( in DepthwiseConvPerChannel() local 100 acc += filter_val * (input_val + input_offset); in DepthwiseConvPerChannel() 177 int32_t input_val = input_data[Offset( in DepthwiseConvPerChannel() local 186 static_cast<int64_t>(input_val); in DepthwiseConvPerChannel() 261 int32_t input_val = input_data[Offset( in DepthwiseConvHybridPerChannel() local 265 acc += filter_val * (input_val - input_offset[batch]); in DepthwiseConvHybridPerChannel()
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D | conv.h | 86 int32_t input_val = input_data[Offset(input_shape, batch, in_y, in ConvPerChannel() local 106 acc += filter_val * (input_val + input_offset); in ConvPerChannel() 189 int32_t input_val = input_data[Offset(input_shape, batch, in_y, in ConvPerChannel() local 199 acc += filter_val * input_val; in ConvPerChannel()
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/external/tensorflow/tensorflow/compiler/mlir/tosa/transforms/ |
D | legalize_utils.h | 39 RankedTensorType output_type, Value input_val, double scale, 45 Value input_val, double input_scale, 50 RankedTensorType output_type, Value input_val,
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D | legalize_utils.cc | 30 RankedTensorType output_type, Value input_val, double scale, in buildRescale() argument 39 op->getLoc(), output_type, input_val, in buildRescale() 51 Value input_val, double input_scale, in buildRescaleToInt32() argument 54 auto input_type = input_val.getType().dyn_cast<mlir::RankedTensorType>(); in buildRescaleToInt32() 59 return buildRescale(rewriter, op, output_type, input_val, input_scale, in buildRescaleToInt32() 65 RankedTensorType output_type, Value input_val, in buildRescaleFromInt32() argument 68 auto input_type = input_val.getType().dyn_cast<mlir::RankedTensorType>(); in buildRescaleFromInt32() 74 return buildRescale(rewriter, op, output_type, input_val, output_scale, 0, in buildRescaleFromInt32()
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D | convert_tfl_uint8.cc | 269 Value input_val = defining_op->getResult(0); in convert_graph_uint8_tensor() local 314 input_val.replaceAllUsesWith(tmp_val); in convert_graph_uint8_tensor() 316 function.getLoc(), uint8_output_type, input_val, in convert_graph_uint8_tensor()
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/external/tensorflow/tensorflow/compiler/xla/tests/ |
D | exhaustive_binary_16_bit_test.cc | 59 uint32 input_val = i + begin; in FillInput() local 62 input_arr_0[i] = ConvertAndReplaceKnownIncorrectValueWith(input_val, 0); in FillInput() 64 ConvertAndReplaceKnownIncorrectValueWith(input_val >> 16, 0); in FillInput()
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/external/libtextclassifier/native/tensorflow_models/seq_flow_lite/tflite_ops/ |
D | layer_norm.cc | 188 float input_val = PodDequantize(*input, input_offset); in FlexibleLayerNorm() local 189 sum_x[stats_offset] += input_val; in FlexibleLayerNorm() 190 sum_xx[stats_offset] += input_val * input_val; in FlexibleLayerNorm() 221 float input_val = PodDequantize(*input, input_offset); in FlexibleLayerNorm() local 224 input_val * multiplier[stats_offset] + bias[stats_offset]; in FlexibleLayerNorm()
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/external/tensorflow/tensorflow/core/kernels/neon/ |
D | depthwiseconv_float.h | 240 const float input_val = *local_input_ptr++; 242 *acc_buffer_ptr++ += filter_val * input_val; 295 const float input_val = *local_input_ptr++; 303 acc[i] = vmlaq_n_f32(acc[i], filter[i], input_val); 409 const float input_val = *local_input_ptr++; 412 acc_buffer_ptr[i] += local_filter_ptr[i] * input_val; 525 const float input_val = *input_ptr++; 528 *acc_buffer_ptr++ += filter_val * input_val;
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/external/tensorflow/tensorflow/lite/kernels/internal/ |
D | common.h | 196 int32x4x4_t input_val, int32_t quantized_multiplier, int shift) { in MultiplyByQuantizedMultiplier4Rows() argument 206 vrshlq_s32(vqrdmulhq_s32(vshlq_s32(input_val.val[0], left_shift_dup), in MultiplyByQuantizedMultiplier4Rows() 211 vrshlq_s32(vqrdmulhq_s32(vshlq_s32(input_val.val[1], left_shift_dup), in MultiplyByQuantizedMultiplier4Rows() 216 vrshlq_s32(vqrdmulhq_s32(vshlq_s32(input_val.val[2], left_shift_dup), in MultiplyByQuantizedMultiplier4Rows() 221 vrshlq_s32(vqrdmulhq_s32(vshlq_s32(input_val.val[3], left_shift_dup), in MultiplyByQuantizedMultiplier4Rows() 532 gemmlowp::FixedPoint<int32_t, InputIntegerBits> input_val) { in log_x_for_x_greater_than_or_equal_to_1_impl() argument 566 FixedPoint0 z_a = FixedPoint0::FromRaw(input_val.raw()); in log_x_for_x_greater_than_or_equal_to_1_impl() 614 gemmlowp::FixedPoint<int32_t, InputIntegerBits> input_val) { in log_x_for_x_greater_than_or_equal_to_1() argument 620 input_val); in log_x_for_x_greater_than_or_equal_to_1()
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/external/tensorflow/tensorflow/python/kernel_tests/array_ops/ |
D | slice_op_test.py | 185 input_val = 0 189 constant_op.constant(input_val)[:].get_shape() 198 self.evaluate(func(input_val)) 201 input_val = [1, 2] 205 constant_op.constant(input_val)[1:, 1:].get_shape() 215 self.evaluate(func(input_val))
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/external/XNNPACK/eval/ |
D | f32-sigmoid-ulp.cc | 42 const double input_val = input[i]; in ComputeError() local 44 if (input_val < 0.0) { in ComputeError() 45 const double exp_val = std::exp(input_val); in ComputeError() 48 output_ref = 1.0 / (1.0 + std::exp(-input_val)); in ComputeError()
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