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Results 1 - 8 of 8 for dequantize (0.19 sec)
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tensorflow/compiler/mlir/lite/stablehlo/tests/uniform-quantized-stablehlo-to-tfl.mlir
} // CHECK-LABEL: uniform_dequantize_op_ui16_storage_input // CHECK: stablehlo.uniform_dequantize // CHECK-NOT: tfl.dequantize // ----- // Tests that the pattern doesn't match when the input quantized tensor's // storage type is i32. i32 storage type is not compatible with // `tfl.dequantize`. func.func @uniform_dequantize_op_i32_storage_input(%arg: tensor<2x2x!quant.uniform<i32:f32, 1.000000e+0:8>>) -> tensor<2x2xf32> {
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue May 14 17:10:32 UTC 2024 - 106.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/stablehlo/transforms/uniform_quantized_stablehlo_to_tfl_pass.cc
} }; // stablehlo.uniform_dequantize -> tfl.dequantize class RewriteUniformDequantizeOp : public OpRewritePattern<stablehlo::UniformDequantizeOp> { using OpRewritePattern<stablehlo::UniformDequantizeOp>::OpRewritePattern; // Determines whether the input and output types are compatible with // `tfl.dequantize`. See the definition for the `DEQUANTIZE` kernel for the // detailed limitations
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Mon Apr 22 09:00:19 UTC 2024 - 99.8K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/legalize-tf.mlir
func.return %0 : tensor<8x8x8x8xf32> // CHECK-LABEL: fakeQuantArgsFalse // CHECK: "tfl.quantize"(%arg0) <{qtype = tensor<8x8x8x8x!quant.uniform<u8:f32, 0.0011764706057660721:85>>}> // CHECK: %1 = "tfl.dequantize"(%0) : (tensor<8x8x8x8x!quant.uniform<u8:f32, 0.0011764706057660721:85>>) -> tensor<8x8x8x8xf32> }
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Wed Jun 05 01:54:33 UTC 2024 - 153.4K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/transforms/optimize.cc
if (fc_op.getFilter() != filter) { // This filter goes through quantize and dequantize ops. Then we just // need to update the weight to the quantize op. filter.replaceAllUsesWith(new_filter_op); } else { // This filter doesn't go through quantize and dequantize ops, Then // we update the weight of the affine op directly.
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Tue Apr 30 00:40:15 UTC 2024 - 102.3K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/ir/tfl_ops.td
// Quantization ops. //===----------------------------------------------------------------------===// def TFL_DequantizeOp: TFL_Op<"dequantize", [NoMemoryEffect]> { let summary = "Dequantize operator"; let description = [{ Converts quantized array of integers to floating-points according to the quantization parameters. }];
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 186K bytes - Viewed (0) -
tensorflow/compiler/mlir/lite/tests/ops.mlir
func.func @testDequantize(tensor<? x !quant.uniform<i8:f32, 0.1>>) -> tensor<? x f32> { ^bb0(%arg0: tensor<? x !quant.uniform<i8:f32, 0.1>>): // CHECK: "tfl.dequantize"(%arg0) : (tensor<?x!quant.uniform<i8:f32, 1.000000e-01>>) -> tensor<?xf32> %0 = "tfl.dequantize"(%arg0): (tensor<? x !quant.uniform<i8:f32, 0.1>>) -> tensor<? x f32> func.return %0 : tensor<? x f32> } // CHECK-LABEL: testLogicalNot
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Thu Jun 06 19:09:08 UTC 2024 - 189.2K bytes - Viewed (0) -
tensorflow/compiler/mlir/quantization/tensorflow/python/integration_test/quantize_model_test.py
): quantize_model.quantize( self._input_saved_model_path, self._output_saved_model_path, quantization_options=quantization_options, representative_dataset=representative_dataset, ) converted_model = quantize_model.quantize( self._input_saved_model_path, self._output_saved_model_path,
Registered: Sun Jun 16 05:45:23 UTC 2024 - Last Modified: Fri May 17 03:36:50 UTC 2024 - 235.6K bytes - Viewed (0) -
src/cmd/internal/obj/s390x/asmz.go
op_PTI uint32 = 0xB99E // FORMAT_RRE PROGRAM TRANSFER WITH INSTANCE op_PTLB uint32 = 0xB20D // FORMAT_S PURGE TLB op_QADTR uint32 = 0xB3F5 // FORMAT_RRF2 QUANTIZE (long DFP) op_QAXTR uint32 = 0xB3FD // FORMAT_RRF2 QUANTIZE (extended DFP) op_RCHP uint32 = 0xB23B // FORMAT_S RESET CHANNEL PATH op_RISBG uint32 = 0xEC55 // FORMAT_RIE6 ROTATE THEN INSERT SELECTED BITS
Registered: Wed Jun 12 16:32:35 UTC 2024 - Last Modified: Tue Apr 16 17:46:09 UTC 2024 - 176.7K bytes - Viewed (0)