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Results 1 - 7 of 7 for LinSpace (0.35 sec)
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tensorflow/compiler/mlir/quantization/tensorflow/calibrator/calibration_algorithm.py
# So hist_mids[i] = (lower_bound + bin_width / 2) + bin_width * i first_mid = self._lower_bound + self._bin_width / 2 last_mid = first_mid + (self._num_bins - 1) * self._bin_width self._hist_mids = np.linspace(first_mid, last_mid, self._num_bins) def _get_dequantized_hist_mids_after_quantize( self, quant_min: float, quant_max: float ) -> np.ndarray:
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Mar 11 19:29:56 UTC 2024 - 14.7K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/tests/legalize-tf.mlir
// CHECK-DAG: [[LINSPACE:%.*]] = chlo.broadcast_add [[MUL]], [[START]] {broadcast_dimensions = array<i64>} // CHECK: return [[LINSPACE]] %0 = "tf.Const"() {_output_shapes = ["tfshape$"], device = "", dtype = i32, value = dense<4> : tensor<i32>} : () -> tensor<i32> %1 = "tf.LinSpace"(%arg0, %arg1, %0) : (tensor<f32>, tensor<f32>, tensor<i32>) -> tensor<4xf32>
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon May 06 18:46:23 UTC 2024 - 335.5K bytes - Viewed (0) -
tensorflow/compiler/jit/mark_for_compilation_pass.cc
"IFFT", "IFFT2D", "IFFT3D", "IRFFT", "IRFFT2D", "IRFFT3D", "If", "InTopKV2", "L2Loss", "LeakyRelu", "LinSpace", "ListDiff", "LogMatrixDeterminant", "LowerBound", "MatMul", "MatrixBandPart", "MatrixDiag", "MatrixDiagPart", "MatrixDiagPartV2",
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Feb 21 12:19:41 UTC 2024 - 85.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf.cc
axis.push_back((val.getSExtValue() + rank) % rank); } return builder->getI64TensorAttr(axis); } /// Converts the LinSpace tensorflow op to a mhlo.iota op with a scaling /// and offset applied to generate the linspace values. The output tensor needs /// to have a static shape. The implementation is defined in C++ because there /// is no type inference for the iota op.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 20:00:43 UTC 2024 - 291.8K bytes - Viewed (0) -
src/go/printer/printer.go
} // trimmer is implemented as a state machine. // It can be in one of the following states: const ( inSpace = iota // inside space inEscape // inside text bracketed by tabwriter.Escapes inText // inside text ) func (p *trimmer) resetSpace() { p.state = inSpace p.space = p.space[0:0] } // Design note: It is tempting to eliminate extra blanks occurring in
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Thu Oct 19 12:02:03 UTC 2023 - 41.6K bytes - Viewed (0) -
tensorflow/compiler/mlir/tensorflow/ir/tf_generated_ops.td
} def TF_LinSpaceOp : TF_Op<"LinSpace", [Pure]> { let summary = "Generates values in an interval."; let description = [{ A sequence of `num` evenly-spaced values are generated beginning at `start`. If `num > 1`, the values in the sequence increase by `(stop - start) / (num - 1)`, so that the last one is exactly `stop`. For example: ```
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 793K bytes - Viewed (0) -
RELEASE.md
dispatches the best kernel implementation based on CPU vector architecture. To disable them, build with `--define=tensorflow_mkldnn_contraction_kernel=0`. * `tf.linspace(start, stop, num)` now always uses "stop" as last value (for num > 1) * Added top-k to precision and recall to keras metrics. * Add a ragged size op and register it to the op dispatcher
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Jun 11 23:24:08 UTC 2024 - 730.3K bytes - Viewed (0)