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Update ops-related pbtxt files.
Change: 149506695
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‎tensorflow/core/ops/compat/ops_history.v1.pbtxt

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@@ -7499,6 +7499,51 @@ op {
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type: DT_COMPLEX64
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}
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}
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op {
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name: "IRFFT"
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input_arg {
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name: "input"
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type: DT_COMPLEX64
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}
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input_arg {
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name: "fft_length"
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type: DT_INT32
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}
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output_arg {
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name: "output"
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type: DT_FLOAT
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}
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}
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op {
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name: "IRFFT2D"
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input_arg {
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name: "input"
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type: DT_COMPLEX64
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}
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input_arg {
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name: "fft_length"
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type: DT_INT32
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}
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output_arg {
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name: "output"
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type: DT_FLOAT
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}
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}
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op {
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name: "IRFFT3D"
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input_arg {
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name: "input"
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type: DT_COMPLEX64
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}
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input_arg {
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name: "fft_length"
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type: DT_INT32
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}
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output_arg {
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name: "output"
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type: DT_FLOAT
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}
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}
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op {
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name: "Identity"
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input_arg {
@@ -12631,6 +12676,51 @@ op {
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}
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is_stateful: true
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}
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op {
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name: "RFFT"
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input_arg {
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name: "input"
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type: DT_FLOAT
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}
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input_arg {
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name: "fft_length"
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type: DT_INT32
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}
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output_arg {
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name: "output"
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type: DT_COMPLEX64
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}
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}
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op {
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name: "RFFT2D"
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input_arg {
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name: "input"
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type: DT_FLOAT
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}
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input_arg {
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name: "fft_length"
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type: DT_INT32
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}
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output_arg {
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name: "output"
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type: DT_COMPLEX64
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}
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}
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op {
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name: "RFFT3D"
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input_arg {
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name: "input"
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type: DT_FLOAT
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}
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input_arg {
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name: "fft_length"
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type: DT_INT32
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}
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output_arg {
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name: "output"
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type: DT_COMPLEX64
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}
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}
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op {
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name: "RGBToHSV"
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input_arg {

‎tensorflow/core/ops/ops.pbtxt

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@@ -6933,7 +6933,7 @@ op {
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}
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output_arg {
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name: "output"
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description: "A complex64 tensor of the same shape as `input`. The inner-most\ndimension of `input` is replaced with its 1D Fourier Transform."
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description: "A complex64 tensor of the same shape as `input`. The inner-most\n dimension of `input` is replaced with its 1D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft.fft\n@end_compatibility"
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type: DT_COMPLEX64
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}
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summary: "Compute the 1-dimensional discrete Fourier Transform over the inner-most"
@@ -6948,7 +6948,7 @@ op {
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}
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output_arg {
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name: "output"
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description: "A complex64 tensor of the same shape as `input`. The inner-most 2\n dimensions of `input` are replaced with their 2D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft2\n@end_compatibility"
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description: "A complex64 tensor of the same shape as `input`. The inner-most 2\n dimensions of `input` are replaced with their 2D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft.fft2\n@end_compatibility"
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type: DT_COMPLEX64
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}
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summary: "Compute the 2-dimensional discrete Fourier Transform over the inner-most"
@@ -6963,7 +6963,7 @@ op {
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}
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output_arg {
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name: "output"
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description: "A complex64 tensor of the same shape as `input`. The inner-most 3\n dimensions of `input` are replaced with their 3D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft3\n@end_compatibility"
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description: "A complex64 tensor of the same shape as `input`. The inner-most 3\n dimensions of `input` are replaced with their 3D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft.fftn with 3 dimensions.\n@end_compatibility"
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type: DT_COMPLEX64
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}
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summary: "Compute the 3-dimensional discrete Fourier Transform over the inner-most 3"
@@ -8500,7 +8500,7 @@ op {
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}
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output_arg {
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name: "output"
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description: "A complex64 tensor of the same shape as `input`. The inner-most\ndimension of `input` is replaced with its inverse 1D Fourier Transform."
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description: "A complex64 tensor of the same shape as `input`. The inner-most\n dimension of `input` is replaced with its inverse 1D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft.ifft\n@end_compatibility"
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type: DT_COMPLEX64
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}
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summary: "Compute the inverse 1-dimensional discrete Fourier Transform over the inner-most"
@@ -8515,7 +8515,7 @@ op {
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}
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output_arg {
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name: "output"
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description: "A complex64 tensor of the same shape as `input`. The inner-most 2\n dimensions of `input` are replaced with their inverse 2D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.ifft2\n@end_compatibility"
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description: "A complex64 tensor of the same shape as `input`. The inner-most 2\n dimensions of `input` are replaced with their inverse 2D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft.ifft2\n@end_compatibility"
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type: DT_COMPLEX64
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}
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summary: "Compute the inverse 2-dimensional discrete Fourier Transform over the inner-most"
@@ -8530,12 +8530,72 @@ op {
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}
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output_arg {
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name: "output"
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description: "A complex64 tensor of the same shape as `input`. The inner-most 3\n dimensions of `input` are replaced with their inverse 3D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft3\n@end_compatibility"
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description: "A complex64 tensor of the same shape as `input`. The inner-most 3\n dimensions of `input` are replaced with their inverse 3D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft.ifftn with 3 dimensions.\n@end_compatibility"
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type: DT_COMPLEX64
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}
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summary: "Compute the inverse 3-dimensional discrete Fourier Transform over the inner-most"
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description: "3 dimensions of `input`."
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}
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op {
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name: "IRFFT"
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input_arg {
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name: "input"
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description: "A complex64 tensor."
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type: DT_COMPLEX64
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}
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input_arg {
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name: "fft_length"
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description: "An int32 tensor of shape [1]. The FFT length."
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type: DT_INT32
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}
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output_arg {
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name: "output"
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description: "A float32 tensor of the same rank as `input`. The inner-most\n dimension of `input` is replaced with the `fft_length` samples of its inverse\n 1D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft.irfft\n@end_compatibility"
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type: DT_FLOAT
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}
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summary: "Compute the inverse 1-dimensional discrete Fourier Transform of a real-valued"
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description: "signal over the inner-most dimension of `input`.\n\nThe inner-most dimension of `input` is assumed to be the result of `RFFT`: the\n`fft_length / 2 + 1` unique components of the DFT of a real-valued signal. If\n`fft_length` is not provided, it is computed from the size of the inner-most\ndimension of `input` (`fft_length = 2 * (inner - 1)`). If the FFT length used to\ncompute `input` is odd, it should be provided since it cannot be inferred\nproperly."
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}
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op {
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name: "IRFFT2D"
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input_arg {
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name: "input"
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description: "A complex64 tensor."
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type: DT_COMPLEX64
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}
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input_arg {
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name: "fft_length"
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description: "An int32 tensor of shape [2]. The FFT length for each dimension."
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type: DT_INT32
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}
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output_arg {
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name: "output"
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description: "A float32 tensor of the same rank as `input`. The inner-most 2\n dimensions of `input` are replaced with the `fft_length` samples of their\n inverse 2D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft.irfft2\n@end_compatibility"
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type: DT_FLOAT
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}
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summary: "Compute the inverse 2-dimensional discrete Fourier Transform of a real-valued"
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description: "signal over the inner-most 2 dimensions of `input`.\n\nThe inner-most 2 dimensions of `input` are assumed to be the result of `RFFT2D`:\nThe inner-most dimension contains the `fft_length / 2 + 1` unique components of\nthe DFT of a real-valued signal. If `fft_length` is not provided, it is computed\nfrom the size of the inner-most 2 dimensions of `input`. If the FFT length used\nto compute `input` is odd, it should be provided since it cannot be inferred\nproperly."
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}
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op {
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name: "IRFFT3D"
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input_arg {
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name: "input"
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description: "A complex64 tensor."
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type: DT_COMPLEX64
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}
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input_arg {
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name: "fft_length"
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description: "An int32 tensor of shape [3]. The FFT length for each dimension."
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type: DT_INT32
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}
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output_arg {
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name: "output"
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description: "A float32 tensor of the same rank as `input`. The inner-most 3\n dimensions of `input` are replaced with the `fft_length` samples of their\n inverse 3D real Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.irfftn with 3 dimensions.\n@end_compatibility"
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type: DT_FLOAT
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}
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summary: "Compute the inverse 3-dimensional discrete Fourier Transform of a real-valued"
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description: "signal over the inner-most 3 dimensions of `input`.\n\nThe inner-most 3 dimensions of `input` are assumed to be the result of `RFFT3D`:\nThe inner-most dimension contains the `fft_length / 2 + 1` unique components of\nthe DFT of a real-valued signal. If `fft_length` is not provided, it is computed\nfrom the size of the inner-most 3 dimensions of `input`. If the FFT length used\nto compute `input` is odd, it should be provided since it cannot be inferred\nproperly."
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}
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op {
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name: "Identity"
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input_arg {
@@ -14287,6 +14347,66 @@ op {
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summary: "Computes the number of elements in the given queue."
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is_stateful: true
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}
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op {
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name: "RFFT"
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input_arg {
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name: "input"
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description: "A float32 tensor."
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type: DT_FLOAT
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}
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input_arg {
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name: "fft_length"
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description: "An int32 tensor of shape [1]. The FFT length."
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type: DT_INT32
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}
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output_arg {
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name: "output"
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description: "A complex64 tensor of the same rank as `input`. The inner-most\n dimension of `input` is replaced with the `fft_length / 2 + 1` unique\n frequency components of its 1D Fourier Transform.\n\n@compatibility(numpy)\nEquivalent to np.fft.rfft\n@end_compatibility"
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type: DT_COMPLEX64
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}
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summary: "Compute the 1-dimensional discrete Fourier Transform of a real-valued signal"
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description: "over the inner-most dimension of `input`.\n\nSince the DFT of a real signal is Hermitian-symmetric, `RFFT` only returns the\n`fft_length / 2 + 1` unique components of the FFT: the zero-frequency term,\nfollowed by the `fft_length / 2` positive-frequency terms."
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}
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op {
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name: "RFFT2D"
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input_arg {
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name: "input"
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description: "A float32 tensor."
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type: DT_FLOAT
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}
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input_arg {
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name: "fft_length"
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description: "An int32 tensor of shape [2]. The FFT length for each dimension."
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type: DT_INT32
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}
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output_arg {
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name: "output"
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description: "A complex64 tensor of the same rank as `input`. The inner-most 2\n dimensions of `input` are replaced with their 2D Fourier Transform. The\n inner-most dimension contains `fft_length / 2 + 1` unique frequency\n components.\n\n@compatibility(numpy)\nEquivalent to np.fft.rfft2\n@end_compatibility"
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type: DT_COMPLEX64
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}
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summary: "Compute the 2-dimensional discrete Fourier Transform of a real-valued signal"
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description: "over the inner-most 2 dimensions of `input`.\n\nSince the DFT of a real signal is Hermitian-symmetric, `RFFT2D` only returns the\n`fft_length / 2 + 1` unique components of the FFT for the inner-most dimension\nof `output`: the zero-frequency term, followed by the `fft_length / 2`\npositive-frequency terms."
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}
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op {
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name: "RFFT3D"
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input_arg {
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name: "input"
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description: "A float32 tensor."
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type: DT_FLOAT
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}
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input_arg {
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name: "fft_length"
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description: "An int32 tensor of shape [3]. The FFT length for each dimension."
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type: DT_INT32
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}
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output_arg {
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name: "output"
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description: "A complex64 tensor of the same rank as `input`. The inner-most 3\n dimensions of `input` are replaced with the their 3D Fourier Transform. The\n inner-most dimension contains `fft_length / 2 + 1` unique frequency\n components.\n\n@compatibility(numpy)\nEquivalent to np.fft.rfftn with 3 dimensions.\n@end_compatibility"
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type: DT_COMPLEX64
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}
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summary: "Compute the 3-dimensional discrete Fourier Transform of a real-valued signal"
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description: "over the inner-most 3 dimensions of `input`.\n\nSince the DFT of a real signal is Hermitian-symmetric, `RFFT3D` only returns the\n`fft_length / 2 + 1` unique components of the FFT for the inner-most dimension\nof `output`: the zero-frequency term, followed by the `fft_length / 2`\npositive-frequency terms."
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}
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op {
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name: "RGBToHSV"
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input_arg {

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