%0 = "tf.Const"() {value = dense<0.0> : tensor<f32>} : () -> tensor<f32>

}

// Creates a new `tfl.qconst` op for the bias. The bias values are 0s, because
// this bias a dummy bias (note that bias fusion is not considered for this
// transformation). The quantization scale for the bias is input scale *
// filter scale. `filter_const_op` is used to retrieve the filter scales and
// the size of the bias constant.
TFL::QConstOp CreateTflConstOpForDummyBias(

// -----

// Tests that a float `stablehlo.reshape` is not converted to `tfl.reshape`.

func.func @reshape_float(%arg0: tensor<2x3x4xf32>) -> tensor<6x4xf32> {
  %0 = stablehlo.reshape %arg0 : (tensor<2x3x4xf32>) -> tensor<6x4xf32>
  return %0 : tensor<6x4xf32>
}
// CHECK-LABEL: reshape_float
// CHECK-NOT: tfl.reshape
// CHECK: stablehlo.reshape

// -----

    auto thisOp = cast<ReshapeOp>(op);
    auto prevOp = cast<ReshapeOp>(thisOp.getOperand(0).getDefiningOp());

    // Replace
    //   %1 = "tfl.reshape"(%0, %shape0)
    //   %2 = "tfl.reshape"(%1, %shape1)
    // With
    //   %2 = "tfl.reshape"(%0, %shape1)
    rewriter.replaceOpWithNewOp<ReshapeOp>(
        op, thisOp.getType(), prevOp.getOperand(0), thisOp.getOperand(1));
  }
};

// CHECK-LABEL: dynamicReshape
// CHECK-NEXT:  %[[reshape:.*]] = "tfl.reshape"(%arg0, %arg1) : (tensor<*xf32>, tensor<2xi32>) -> tensor<?x?xf32>
// CHECK-NEXT:  return %[[reshape]] : tensor<?x?xf32>
}

func.func @dynamicReshapeI64(%arg0: tensor<*xf32>, %arg1: tensor<2xi64>) -> tensor<?x?xf32> {
  %0 = "tf.Reshape"(%arg0, %arg1) : (tensor<*xf32>, tensor<2xi64>) -> tensor<?x?xf32>
  func.return %0 : tensor<?x?xf32>

	EM_CE            Machine = 119 /* Freescale Communication Engine RISC core */
	EM_M32C          Machine = 120 /* Renesas M32C series microprocessors */
	EM_TSK3000       Machine = 131 /* Altium TSK3000 core */
	EM_RS08          Machine = 132 /* Freescale RS08 embedded processor */
	EM_SHARC         Machine = 133 /* Analog Devices SHARC family of 32-bit DSP processors */

			if quote == '"' {
				// “The <backslash> shall retain its special meaning as an escape
				// character … only when followed by one of the following characters
				// when considered special:”
				switch c {
				case '$', '`', '"', '\\', '\n':
					// Handle the escaped character normally.
				default:
					// Not an escape character after all.
					flag = append(flag, '\\', c)
					escaped = false

  }
  BufferOffset<tflite::QuantizationParameters> q_params = 0;
  if (auto qtype =
          mlir::dyn_cast<mlir::quant::UniformQuantizedType>(element_type)) {
    std::vector<float> scales = {static_cast<float>(qtype.getScale())};
    std::vector<int64_t> zero_points = {qtype.getZeroPoint()};
    q_params = tflite::CreateQuantizationParameters(
        builder_, /*min=*/0, /*max=*/0, builder_.CreateVector<float>(scales),

DATA_KEY                 = 'bs.dropdown'\nconst EVENT_KEY                = `.${DATA_KEY}`\nconst DATA_API_KEY             = '.data-api'\nconst JQUERY_NO_CONFLICT       = $.fn[NAME]\nconst ESCAPE_KEYCODE           = 27 // KeyboardEvent.which value for Escape (Esc) key\nconst SPACE_KEYCODE            = 32 // KeyboardEvent.which value for space key\nconst TAB_KEYCODE              = 9 // KeyboardEvent.which value for tab key\nconst ARROW_UP_KEYCODE         = 38 // KeyboardEvent.which value for up arrow key\nconst...

DATA_KEY                 = 'bs.dropdown'\nconst EVENT_KEY                = `.${DATA_KEY}`\nconst DATA_API_KEY             = '.data-api'\nconst JQUERY_NO_CONFLICT       = $.fn[NAME]\nconst ESCAPE_KEYCODE           = 27 // KeyboardEvent.which value for Escape (Esc) key\nconst SPACE_KEYCODE            = 32 // KeyboardEvent.which value for space key\nconst TAB_KEYCODE              = 9 // KeyboardEvent.which value for tab key\nconst ARROW_UP_KEYCODE         = 38 // KeyboardEvent.which value for up arrow key\nconst...