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e92dfa5c01
* Revert "incorporate changes from microsoft:master" * Revert "Revert "incorporate changes from microsoft:master"" * update tensorflow to 2.7 and bazel to latest 4.x * Update version database. Co-authored-by: jgehw <Joachim_Gehweiler@McAfee.com> Co-authored-by: Billy Robert O'Neal III <bion@microsoft.com>
26 lines
1.2 KiB
Diff
26 lines
1.2 KiB
Diff
diff --git a/tensorflow/core/kernels/depthtospace_op.cc b/tensorflow/core/kernels/depthtospace_op.cc
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--- a/tensorflow/core/kernels/depthtospace_op.cc
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+++ b/tensorflow/core/kernels/depthtospace_op.cc
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@@ -112,7 +112,7 @@
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auto Tinput = input.tensor<T, kDims>();
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auto Toutput = outputs_tensor->tensor<T, kDims>();
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- if (std::is_same<Device, GPUDevice>::value) {
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+ if constexpr (std::is_same<Device, GPUDevice>::value) {
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if (is_int8x4) {
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// NCHW_VECT_C with 4 x qint8 can be treated as NCHW int32.
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auto Tinput_v = input.template reinterpret_last_dimension<int32, 4>();
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diff --git a/tensorflow/core/kernels/spacetodepth_op.cc b/tensorflow/core/kernels/spacetodepth_op.cc
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--- a/tensorflow/core/kernels/spacetodepth_op.cc
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+++ b/tensorflow/core/kernels/spacetodepth_op.cc
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@@ -126,7 +126,7 @@
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output_width, output_depth),
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&outputs_tensor));
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- if (std::is_same<Device, GPUDevice>::value) {
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+ if constexpr (std::is_same<Device, GPUDevice>::value) {
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using RT = typename RawType<T>::type;
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if (data_format_ == FORMAT_NCHW_VECT_C) {
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// NCHW_VECT_C with 4 x qint8 can be treated as NCHW int32.
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