experiments/STT-tensorflow
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Update comment to match w/ NHWC.

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PiperOrigin-RevId: 302571156
Change-Id: Idfd8ea934d4324ccd7aae5911f16e94229522105
This commit is contained in:
Chao Mei 2020-03-23 19:13:13 -07:00 committed by TensorFlower Gardener
parent 5522bfa37f
commit b009488e56
4 changed files with 4 additions and 4 deletions
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2
tensorflow/lite/schema/schema_v0.fbs
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@ -35,7 +35,7 @@ table QuantizationParameters {
table Tensor { table Tensor {
// The tensor shape. The meaning of each entry is operator-specific but // The tensor shape. The meaning of each entry is operator-specific but
// builtin ops use: [batch size, number of channels, height, width] (That's // builtin ops use: [batch size, height, width, number of channels] (That's
// Tensorflow's NHWC). // Tensorflow's NHWC).
shape:[int]; shape:[int];
type:TensorType; type:TensorType;

2
tensorflow/lite/schema/schema_v1.fbs
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@ -40,7 +40,7 @@ table QuantizationParameters {
table Tensor { table Tensor {
// The tensor shape. The meaning of each entry is operator-specific but // The tensor shape. The meaning of each entry is operator-specific but
// builtin ops use: [batch size, number of channels, height, width] (That's // builtin ops use: [batch size, height, width, number of channels] (That's
// Tensorflow's NHWC). // Tensorflow's NHWC).
shape:[int]; shape:[int];
type:TensorType; type:TensorType;

2
tensorflow/lite/schema/schema_v2.fbs
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@ -41,7 +41,7 @@ table QuantizationParameters {
table Tensor { table Tensor {
// The tensor shape. The meaning of each entry is operator-specific but // The tensor shape. The meaning of each entry is operator-specific but
// builtin ops use: [batch size, number of channels, height, width] (That's // builtin ops use: [batch size, height, width, number of channels] (That's
// Tensorflow's NHWC). // Tensorflow's NHWC).
shape:[int]; shape:[int];
type:TensorType; type:TensorType;

2
tensorflow/lite/schema/schema_v3.fbs
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@ -47,7 +47,7 @@ table QuantizationParameters {
table Tensor { table Tensor {
// The tensor shape. The meaning of each entry is operator-specific but // The tensor shape. The meaning of each entry is operator-specific but
// builtin ops use: [batch size, number of channels, height, width] (That's // builtin ops use: [batch size, height, width, number of channels] (That's
// Tensorflow's NHWC). // Tensorflow's NHWC).
shape:[int]; shape:[int];
type:TensorType; type:TensorType;