/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/kernels/internal/reference/ |
A D | legacy_reference_ops.h | 521 const uint8* input_data, const Dims<4>& input_dims, in ShuffledFullyConnected() argument 694 void DepthConcatenation(const Scalar* const* input_data, in DepthConcatenation() argument 727 Split(op_params, DimsToShape(input_dims), input_data, in TensorFlowSplit() 798 const uint8 input_val_u8 = input_data[i]; in Logistic() 900 Gather(op_params, DimsToShape(input_dims), input_data, in Gather() 1140 void Pack(int dim, const Scalar* const* input_data, in Pack() argument 1170 void Pack(int dim, const Scalar* const* input_data, in Pack() argument 1204 inline void L2Normalization(const uint8* input_data, in L2Normalization() argument 2050 BatchToSpaceND(DimsToShape(input_dims), input_data, in BatchToSpaceND() 2127 void ArgMax(const T3* axis, const T1* input_data, in ArgMax() argument [all …]
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A D | pad.h | 39 const RuntimeShape& input_shape, const T* input_data, in PadImpl() argument 89 const T* in_ptr = input_data; in PadImpl() 119 const RuntimeShape& input_shape, const T* input_data, in Pad() argument 122 PadImpl(op_params, input_shape, input_data, pad_value_ptr, output_shape, in Pad() 129 const RuntimeShape& input_shape, const T* input_data, in Pad() argument 133 PadImpl(op_params, input_shape, input_data, &converted_pad_value, in Pad() 140 const RuntimeShape& input_shape, const int32_t* input_data, in Pad() argument 143 PadImpl(op_params, input_shape, input_data, pad_value_ptr, output_shape, in Pad() 152 Pad(op_params, input_shape, input_data, pad_value_ptr, output_shape, in PadImageStyle() 159 const float* input_data, const P* pad_value_ptr, in PadImageStyle() argument [all …]
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A D | logistic.h | 30 inline void Logistic(const RuntimeShape& input_shape, const float* input_data, in Logistic() argument 46 float val = input_data[i]; in Logistic() 62 const float* input_data, const RuntimeShape& output_shape, in Logistic() argument 65 Logistic(input_shape, input_data, output_shape, output_data); in Logistic() 69 const RuntimeShape& input_shape, const int16_t* input_data, in Logistic() argument 81 const F3 input = F3::FromRaw(input_data[i]); in Logistic() 93 inline void Logistic(const RuntimeShape& input_shape, const int8_t* input_data, in Logistic() argument 113 static_cast<float>((input_data[i] - input_zero_point) * input_scale); in Logistic()
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A D | tanh.h | 29 inline void Tanh(const RuntimeShape& input_shape, const float* input_data, in Tanh() argument 34 float val = input_data[i]; in Tanh() 43 const float* input_data, const RuntimeShape& output_shape, in Tanh() argument 46 Tanh(input_shape, input_data, output_shape, output_data); in Tanh() 50 const int16_t* input_data, const RuntimeShape& output_shape, in Tanh() argument 69 F3 input = F3::FromRaw(input_data[i]); in Tanh() 76 gemmlowp::SaturatingRoundingMultiplyByPOT<1>(input_data[i])); in Tanh() 84 const uint8_t* input_data, const RuntimeShape& output_shape, in Tanh() argument 94 const uint8_t input_val_u8 = input_data[i]; in Tanh()
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A D | log_softmax.h | 29 const RuntimeShape& input_shape, const float* input_data, in LogSoftmax() argument 43 max = std::max(max, input_data[i * depth + c]); in LogSoftmax() 49 sum += std::exp(input_data[i * depth + c] - max); in LogSoftmax() 55 output_data[i * depth + c] = input_data[i * depth + c] - max - log_sum; in LogSoftmax() 62 const uint8_t* input_data, in LogSoftmax() argument 92 max_in_row = std::max(max_in_row, input_data[i * depth + c]); in LogSoftmax() 98 static_cast<int32_t>(input_data[i * depth + c]) - max_in_row; in LogSoftmax() 131 static_cast<int32_t>(input_data[i * depth + c]) - max_in_row; in LogSoftmax() 157 const T* input_data, in LogSoftmaxQuantized() argument 247 const int8_t* input_data, in LogSoftmax() argument [all …]
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A D | transpose.h | 28 const T* input_data, in TransposeImpl() argument 67 input_data[SubscriptToIndex(perm_input_desc, indexes)]; in TransposeImpl() 74 const RuntimeShape& unextended_input_shape, const T* input_data, in Transpose() argument 82 reinterpret_cast<const int8_t*>(input_data), in Transpose() 88 reinterpret_cast<const int16_t*>(input_data), in Transpose() 95 reinterpret_cast<const int32_t*>(input_data), in Transpose() 101 reinterpret_cast<const int64_t*>(input_data), in Transpose()
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A D | softmax.h | 31 const RuntimeShape& input_shape, const float* input_data, in Softmax() argument 45 max = std::max(max, input_data[i * depth + c]); in Softmax() 51 const float exp_c = std::exp((input_data[i * depth + c] - max) * in Softmax() 68 const RuntimeShape& input_shape, const InputT* input_data, in Softmax() argument 95 max_in_row = std::max(max_in_row, input_data[i * depth + c]); in Softmax() 101 static_cast<int32_t>(input_data[i * depth + c]) - max_in_row; in Softmax() 119 static_cast<int32_t>(input_data[i * depth + c]) - max_in_row; in Softmax() 151 int32_t input_diff = input_data[i * depth + c] - max_in_row; in SoftMaxCalculateExp() 167 const int16_t* input_data, in SoftmaxInt16() argument 180 max_in_row = std::max(max_in_row, input_data[i * depth + c]); in SoftmaxInt16() [all …]
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A D | l2normalization.h | 31 const float* input_data, 42 const float val = input_data[depth * i + c]; 48 output_data[depth * i + c] = input_data[depth * i + c] / l2_norm; 55 const uint8_t* input_data, in L2Normalization() argument 68 int32_t diff = input_data[depth * i + c] - input_zero_point; in L2Normalization() 76 int32_t diff = input_data[depth * i + c] - input_zero_point; in L2Normalization()
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A D | hard_swish.h | 45 inline void HardSwish(const RuntimeShape& input_shape, const T* input_data, in HardSwish() argument 49 const T* in_end = input_data + matching_size; in HardSwish() 50 for (; input_data < in_end; input_data++, output_data++) { in HardSwish() 51 const float in = *input_data; in HardSwish() 60 const RuntimeShape& input_shape, const T* input_data, in HardSwish() argument 67 const int16_t input_value = input_data[i] - params.input_zero_point; in HardSwish()
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A D | broadcast_to.h | 24 void BroadcastImpl(const NdArrayDesc<N>& input_desc, const char* input_data, in BroadcastImpl() argument 32 input_data + SubscriptToIndex(input_desc, indexes) * type_size; in BroadcastImpl() 44 BroadcastImpl<N>(input_desc, input_data, output_desc, output_data, indexes, in BroadcastImpl() 63 const char* input_data, in BroadcastTo() argument 85 memcpy(output_data, input_data, in BroadcastTo() 92 BroadcastImpl<N>(input_desc, input_data, output_desc, output_data, indexes, 0, in BroadcastTo()
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A D | resize_bilinear.h | 49 const T* input_data, in ResizeBilinear() argument 103 static_cast<T>(input_data[Offset(input_shape, b, y0, x0, c)] * in ResizeBilinear() 105 input_data[Offset(input_shape, b, y1, x0, c)] * in ResizeBilinear() 107 input_data[Offset(input_shape, b, y0, x1, c)] * in ResizeBilinear() 109 input_data[Offset(input_shape, b, y1, x1, c)] * in ResizeBilinear() 138 const RuntimeShape& unextended_input_shape, const T* input_data, in ResizeBilinearInteger() argument 196 input_data[Offset(input_shape, b, y0, x0, c)]) * in ResizeBilinearInteger() 201 input_data[Offset(input_shape, b, y1, x0, c)]) * in ResizeBilinearInteger() 206 input_data[Offset(input_shape, b, y0, x1, c)]) * in ResizeBilinearInteger() 211 input_data[Offset(input_shape, b, y1, x1, c)]) * in ResizeBilinearInteger()
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A D | leaky_relu.h | 27 const RuntimeShape& input_shape, const float* input_data, in LeakyRelu() argument 31 const float val = input_data[i]; in LeakyRelu() 40 const T* input_data, in QuantizeLeakyRelu() argument 47 const int32_t input_value = input_data[i] - params.input_offset; in QuantizeLeakyRelu()
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A D | reduce.h | 34 inline bool Reduce(const In* input_data, const int* input_dims, in Reduce() argument 51 reducer(output_data[output_offset], input_data[input_offset]); in Reduce() 93 inline bool ReduceSumImpl(const In* input_data, const int* input_dims, in ReduceSumImpl() argument 102 return Reduce<In, Out>(input_data, input_dims, output_dims, input_num_dims, in ReduceSumImpl() 128 inline bool ReduceGeneric(const T* input_data, const int* input_dims, in ReduceGeneric() argument 153 return Reduce<T, T>(input_data, input_dims, output_dims, input_num_dims, in ReduceGeneric() 162 inline bool Mean(const T* input_data, const int* input_dims, in Mean() argument 219 const T* input_data, in Mean() argument 251 value += input_data[Offset(input_shape, out_b, in_h, in_w, out_d)]; in Mean() 262 const uint8_t* input_data, int32_t input_zero_point, in Mean() argument [all …]
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/AliOS-Things-master/solutions/tflite_micro_speech_demo/micro_speech/train/speech_commands/ |
A D | input_data_test.py | 27 from tensorflow.examples.speech_commands import input_data 80 audio_processor = input_data.AudioProcessor( 94 input_data.which_set("foo.wav", 10, 10), 95 input_data.which_set("foo.wav", 10, 10)) 97 input_data.which_set("foo_nohash_0.wav", 10, 10), 98 input_data.which_set("foo_nohash_1.wav", 10, 10)) 111 self.assertEqual(input_data.UNKNOWN_WORD_INDEX, 150 sample_data = input_data.load_wav_file(file_path) 157 input_data.save_wav_file(file_path, save_data, 16000) 158 loaded_data = input_data.load_wav_file(file_path) [all …]
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/AliOS-Things-master/components/SDL2/src/image/external/jpeg-9b/ |
A D | jcsample.c | 179 inptr = input_data[inrow+v] + outcol_h; in int_downsample() 242 inptr = input_data[inrow]; in h2v1_downsample() 280 inptr0 = input_data[inrow]; in h2v2_downsample() 281 inptr1 = input_data[inrow+1]; in h2v2_downsample() 340 inptr0 = input_data[inrow]; in h2v2_smooth_downsample() 341 inptr1 = input_data[inrow+1]; in h2v2_smooth_downsample() 342 above_ptr = input_data[inrow-1]; in h2v2_smooth_downsample() 343 below_ptr = input_data[inrow+2]; in h2v2_smooth_downsample() 434 inptr = input_data[inrow]; in fullsize_smooth_downsample() 435 above_ptr = input_data[inrow-1]; in fullsize_smooth_downsample() [all …]
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A D | jdsample.c | 30 JSAMPARRAY input_data, JSAMPARRAY * output_data_ptr)); 159 JSAMPARRAY input_data, JSAMPARRAY * output_data_ptr) in fullsize_upsample() argument 161 *output_data_ptr = input_data; in fullsize_upsample() 172 JSAMPARRAY input_data, JSAMPARRAY * output_data_ptr) in noop_upsample() argument 191 JSAMPARRAY input_data, JSAMPARRAY * output_data_ptr) in int_upsample() argument 208 inptr = input_data[inrow]; in int_upsample() 235 JSAMPARRAY input_data, JSAMPARRAY * output_data_ptr) in h2v1_upsample() argument 244 inptr = input_data[outrow]; in h2v1_upsample() 263 JSAMPARRAY input_data, JSAMPARRAY * output_data_ptr) in h2v2_upsample() argument 273 inptr = input_data[inrow]; in h2v2_upsample()
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/kernels/internal/optimized/ |
A D | legacy_optimized_ops.h | 389 input_data_(input_data), in LegacyDepthwiseConvWorkerTask() 501 input_data_(input_data), in LegacyPerChannelDepthwiseConvWorkerTask() 998 input_data_(input_data), in LegacyFullyConnectedAsGEMVWorkerTask() 1694 input_data, accum_depth, batches); in FullyConnected() 2009 input_data_(input_data), in LegacyInt8FullyConnectedAsGEMVWorkerTask() 2182 : input_data_(input_data), in LegacyShuffledFullyConnectedWorkerTask() 2255 uint8x16_t val = vld1q_u8(input_data + i); in ShuffledFullyConnected() 2466 gemm_input_data = input_data; in Conv() 2672 gemm_input_data = input_data; in Conv() 4375 const uint8 input_val_u8 = input_data[c]; in Logistic() [all …]
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A D | optimized_ops.h | 779 : input_data_(input_data), in ShuffledFullyConnectedWorkerTask() 1099 input_data(input_data), in MeanWorkerTask() 1116 const uint8_t* input_data; member 1711 input_data += stride; in SpaceToDepth() 1751 ++input_data; 1789 ++input_data; in L2Normalization() 3681 input_data(input_data), in SoftmaxWorkerTask() 3694 const float* input_data; member 3800 input_data += last_dim; in Softmax() 4163 input_data += last_dim; in LogSoftmax() [all …]
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/kernels/internal/optimized/sparse_ops/ |
A D | fully_connected.h | 32 const RuntimeShape& input_shape, const float* input_data, in FullyConnectedSparseWeight() argument 61 weights_data[pw1] * input_data[b * accum_depth + idx_1]; in FullyConnectedSparseWeight() 78 const RuntimeShape& input_shape, const float* input_data, in FullyConnectedSparseWeight1x4Impl() argument 101 weights_shape.Dims(1), input_data + thread_start * input_depth, batches, in FullyConnectedSparseWeight1x4Impl() 118 const RuntimeShape& input_shape, const float* input_data, in FullyConnectedSparseWeight1x4Task() 126 input_data(input_data), in FullyConnectedSparseWeight1x4Task() 139 sparsity, params, input_shape, input_data, weights_shape, weights_data, in Run() 148 const float* input_data; member 166 const RuntimeShape& input_shape, const float* input_data, in FullyConnectedSparseWeight1x4() argument 180 sparsity, params, input_shape, input_data, weights_shape, weights_data, in FullyConnectedSparseWeight1x4() [all …]
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/kernels/internal/optimized/integer_ops/ |
A D | mean.h | 27 const RuntimeShape& input_shape, const int8_t* input_data, in MeanImpl() argument 68 input_data + Offset(input_shape, out_b, in_h, in_w, out_d); in MeanImpl() 130 acc += input_data[Offset(input_shape, out_b, in_h, in_w, out_d)]; in MeanImpl() 145 const RuntimeShape& input_shape, const int8_t* input_data, in MeanWorkerTask() 151 input_data(input_data), in MeanWorkerTask() 161 MeanImpl(op_params, input_shape, input_data, multiplier, shift, bias, in Run() 168 const int8_t* input_data; member 180 const int8_t* input_data, int32 input_zero_point, in Mean() argument 222 MeanImpl(op_params, input_shape, input_data, multiplier, shift, bias, in Mean() 236 tasks.emplace_back(op_params, input_shape, input_data, multiplier, shift, in Mean()
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A D | depthwise_conv_hybrid.h | 43 const int8* input_data, const RuntimeShape& filter_shape, in DepthwiseConvHybridGeneral() argument 261 const RuntimeShape& input_shape, const int8* input_data, in DepthwiseConvHybridWithRounding() argument 301 params, input_scales, input_shape, input_data, in DepthwiseConvHybridWithRounding() 312 params, input_scales, input_shape, input_data, in DepthwiseConvHybridWithRounding() 320 const RuntimeShape& input_shape, const int8* input_data, in DepthwiseConvHybridImpl() argument 328 params, input_scales, input_shape, input_data, in DepthwiseConvHybridImpl() 339 const T* input_data, in DepthwiseConvHybridWorkerTask() 353 input_data(input_data), in DepthwiseConvHybridWorkerTask() 368 input_data, filter_shape, filter_data, in Run() 378 const T* input_data; member [all …]
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/third_party/cmsis/CMSIS/NN/Source/ConvolutionFunctions/ |
A D | arm_convolve_1_x_n_s8.c | 54 const q7_t *input_data, in arm_convolve_1_x_n_s8() argument 111 input_data + input_begin_idx[0] * input_ch, in arm_convolve_1_x_n_s8() 117 input_data + input_begin_idx[1] * input_ch, in arm_convolve_1_x_n_s8() 124 input_data + input_begin_idx[2] * input_ch, in arm_convolve_1_x_n_s8() 131 input_data + input_begin_idx[3] * input_ch, in arm_convolve_1_x_n_s8() 144 input_data + input_begin_idx[0] * input_ch, in arm_convolve_1_x_n_s8() 176 input_data, in arm_convolve_1_x_n_s8()
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/micro/tools/make/downloads/cmsis/CMSIS/NN/Source/ConvolutionFunctions/ |
A D | arm_convolve_1_x_n_s8.c | 54 const q7_t *input_data, in arm_convolve_1_x_n_s8() argument 111 input_data + input_begin_idx[0] * input_ch, in arm_convolve_1_x_n_s8() 117 input_data + input_begin_idx[1] * input_ch, in arm_convolve_1_x_n_s8() 124 input_data + input_begin_idx[2] * input_ch, in arm_convolve_1_x_n_s8() 131 input_data + input_begin_idx[3] * input_ch, in arm_convolve_1_x_n_s8() 144 input_data + input_begin_idx[0] * input_ch, in arm_convolve_1_x_n_s8() 176 input_data, in arm_convolve_1_x_n_s8()
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/AliOS-Things-master/components/ai_agent/src/engine/tflite-micro/tensorflow/lite/kernels/internal/reference/integer_ops/ |
A D | tanh.h | 28 const RuntimeShape& input_shape, const int8_t* input_data, in Tanh() argument 41 static_cast<int32_t>(input_data[i]) - input_zero_point; in Tanh() 83 int32_t input_data = in Tanh() local 86 uint32_t abs_input_data = abs(input_data); in Tanh() 102 result = (input_data >= 0) in Tanh()
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A D | logistic.h | 26 int32_t input_size, const int8_t* input_data, in Logistic() argument 37 static_cast<int32_t>(input_data[i]) - input_zero_point; in Logistic() 81 int32_t input_data = in Logistic() local 85 uint32_t abs_input_data = abs(input_data); in Logistic() 106 result = (input_data >= 0) ? (result + (1 << 9)) in Logistic()
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