| /external/libvpx/libvpx/vpx_dsp/x86/ |
| D | highbd_idct4x4_add_sse2.c | 105 __m128i max_input, min_input; in vpx_highbd_idct4x4_16_add_sse2() local
108 min_input = _mm_min_epi16(io_short[0], io_short[1]); in vpx_highbd_idct4x4_16_add_sse2()
110 min_input = _mm_min_epi16(min_input, _mm_srli_si128(min_input, 8)); in vpx_highbd_idct4x4_16_add_sse2()
112 min_input = _mm_min_epi16(min_input, _mm_srli_si128(min_input, 4)); in vpx_highbd_idct4x4_16_add_sse2()
114 min_input = _mm_min_epi16(min_input, _mm_srli_si128(min_input, 2)); in vpx_highbd_idct4x4_16_add_sse2()
116 min = (int16_t)_mm_extract_epi16(min_input, 0); in vpx_highbd_idct4x4_16_add_sse2()
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| /external/tensorflow/tensorflow/core/kernels/ |
| D | quantized_activation_ops.cc | 35 const float min_input = context->input(1).flat<float>()(0); in Compute() local
40 const T min_as_quantized = FloatToQuantized<T>(0.0f, min_input, max_input); in Compute()
53 output_min->flat<float>()(0) = min_input; in Compute()
68 const float min_input = context->input(1).flat<float>()(0); in Compute() local
73 const T min_as_quantized = FloatToQuantized<T>(0.0f, min_input, max_input); in Compute()
74 const T max_as_quantized = FloatToQuantized<T>(6.0f, min_input, max_input); in Compute()
91 output_min->flat<float>()(0) = min_input; in Compute()
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| D | quantization_utils.h | 227 inline T2 RequantizeInNewRange(T1 input, float min_input, float max_input, in RequantizeInNewRange() argument
229 const float input_float = QuantizedToFloat<T1>(input, min_input, max_input); in RequantizeInNewRange()
235 float min_input, float max_input, in RequantizeManyInNewRange() argument
240 QuantizedToFloat<T1>(input[index], min_input, max_input); in RequantizeManyInNewRange()
249 float min_input, float max_input, in RequantizeManyInNewRangeReference() argument
256 const float input_range = max_input - min_input; in RequantizeManyInNewRangeReference()
260 const float input_rezero = (min_input + max_input) / 2.0; in RequantizeManyInNewRangeReference()
295 const quint8* input, int64 count, float min_input, float max_input, in RequantizeManyInNewRange8To32BitReference() argument
297 const float code_0_float = QuantizedToFloat<quint8>(0, min_input, max_input); in RequantizeManyInNewRange8To32BitReference()
298 const float code_1_float = QuantizedToFloat<quint8>(1, min_input, max_input); in RequantizeManyInNewRange8To32BitReference()
[all …]
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| D | quantized_pooling_ops.cc | 68 const float min_input = context->input(1).flat<float>()(0); in Compute() local
101 output_min->flat<float>()(0) = min_input; in Compute()
120 const float min_input = context->input(1).flat<float>()(0); in Compute() local
125 output_min->flat<float>()(0) = min_input; in Compute()
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v1/ |
| D | QuantizedMaxPool.pbtxt | 8 name: "min_input"
66 name: "min_input"
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| D | QuantizedAvgPool.pbtxt | 8 name: "min_input"
66 name: "min_input"
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| D | QuantizedConv2D.pbtxt | 12 name: "min_input"
107 name: "min_input"
214 name: "min_input"
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| D | QuantizedBiasAdd.pbtxt | 12 name: "min_input"
90 name: "min_input"
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| D | QuantizedConv2DAndRelu.pbtxt | 12 name: "min_input"
119 name: "min_input"
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| D | QuantizedConv2DAndReluAndRequantize.pbtxt | 12 name: "min_input"
127 name: "min_input"
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| D | QuantizedConv2DWithBias.pbtxt | 16 name: "min_input"
127 name: "min_input"
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| D | QuantizedConv2DAndRequantize.pbtxt | 12 name: "min_input"
127 name: "min_input"
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| D | QuantizedDepthwiseConv2DWithBiasAndRelu.pbtxt | 16 name: "min_input"
127 name: "min_input"
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| D | QuantizedConv2DWithBiasSumAndRelu.pbtxt | 16 name: "min_input"
131 name: "min_input"
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| /external/tensorflow/tensorflow/core/ops/compat/ops_history_v2/ |
| D | QuantizedAvgPool.pbtxt | 8 name: "min_input"
66 name: "min_input"
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| D | QuantizedMaxPool.pbtxt | 8 name: "min_input"
66 name: "min_input"
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| D | QuantizedConv2D.pbtxt | 12 name: "min_input"
107 name: "min_input"
214 name: "min_input"
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| D | QuantizedBiasAdd.pbtxt | 12 name: "min_input"
90 name: "min_input"
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| D | QuantizedConv2DAndRelu.pbtxt | 12 name: "min_input"
119 name: "min_input"
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| D | QuantizedConv2DWithBiasSumAndRelu.pbtxt | 16 name: "min_input"
131 name: "min_input"
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| D | QuantizedConv2DAndRequantize.pbtxt | 12 name: "min_input"
127 name: "min_input"
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| /external/tensorflow/tensorflow/tools/graph_transforms/ |
| D | freeze_requantization_ranges_test.cc | 130 const string& min_input = in TestFreezeRequantizationRanges() local
132 ASSERT_EQ(1, node_map.count(min_input)); in TestFreezeRequantizationRanges()
133 EXPECT_EQ("Const", node_map.at(min_input)->op()); in TestFreezeRequantizationRanges()
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| /external/tensorflow/tensorflow/core/kernels/mkl/ |
| D | mkl_qmatmul_op.cc | 340 const float min_input = context->input(3).flat<float>()(0); in ComputeOutputRangeForInt32() local
345 min_input, max_input, min_weight, max_weight, min_output_value, in ComputeOutputRangeForInt32()
406 const float min_input = context->input(3).flat<float>()(0); in GetBiasHandle() local
427 float qa_amin = 255 * min_input / (max_input - min_input); in GetBiasHandle()
430 ((max_input - min_input) * in GetBiasHandle()
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| /external/XNNPACK/eval/ |
| D | f32-expminus-ulp.cc | 63 const uint32_t min_input = UINT32_C(0xC2AEAC4F); in ExpError() local
91 for (uint32_t n = min_input; int32_t(n) < 0; n -= block_size) { in ExpError()
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| D | f32-extexp-ulp.cc | 66 const uint32_t min_input = 0xC431195E; in ExtExpError() local
98 for (uint32_t n = min_input; int32_t(n) < 0; n -= block_size) { in ExtExpError()
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